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I am super excited to announce that I will be joining Microsoft Research (MSR) as a distinguished scientist on September 1, 2021.
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After two good years at Microsoft Research AI4Science, I am very excited to announce that as of this month I have, together with Chad Edwards, co-founded a new startup in the field of molecular and materials discovery.
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Even after 22 years it still hurts to get your favorite papers rejected. I recall the first paper on ICA I submitted to NeurIPS that got mercilessly rejected. I felt awful! To all those rejected NeurIPS authors: don’t despair, time will average out the wrinkles! Hang in there!
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When will academia stop wasting each other’s time asking for recommendation letters for promotions, job applications, grant applications, VISA applications? The list is endless. There must be better ways to reveal those few bits of information we want to share about candidates.
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Congratulations to dr. Thomas Kipf who just successfully defended his thesis through zoom. He graduated CUM LAUDE!!
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Just watched Michael Bronstein's keynote at ICLR. It's done so perfectly well that it's almost scary. Absolutely amazing talk that everyone should see.
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I wrote this response to Rich Sutton's "The Bitter Lesson"
staff.fnwi.uva.nl/m.welling/…
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I have noticed that the “review process” is very similar to mcmc: the further away from the current state you propose the less likely it is to be accepted”.
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Can we stop the “X is all you need” meme in ML. It literally says to stop thinking about everything else, and that’s just counterproductive.
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And while @GaryMarcus and @ylecun are debating who claims what and who references who enough, I watched a brilliant talk by Gabor Csanyi on how deep learning is revolutionizing chemistry.
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I am humbled and honored to learn that our paper received the Test of Time Award at ICML. It is wonderful to see how a simple idea can grow into a rich research field. Thanks to Yee Whye for being the best collaborator one can wish, and to the committee for choosing our paper.
🧵We are pleased to announce the ICML 2021 paper awards. Congratulations to all authors!
Test of the Time Award from ICML 2011:
• Max Welling and Yee Whye Teh
📜Bayesian Learning via Stochastic Gradient Langevin Dynamics
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A simple framework that unifies many well known MCMC algorithms. If you read this you can clean up your brain to make place for new stuff (useful for when you are over 50).
Our #icml2020 paper "Involutive MCMC: a Unifying Framework" is now available on arxiv arxiv.org/abs/2006.16653. It describes many MCMC algorithms from a single perspective.
Work with @wellingmax, @eeevgen, Dmitry Vetrov
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I can really get used to giving talks over Zoom. No travel, no lost time, no air pollution and you can record and share your own talk! Here is the talk I gave "at" MIT CSAIL's Embodied Intelligence group.
piped.video/watch?v=JWswItMR…
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I am extremely excited and proud to share with you the ELLIS PhD program. To students around the world: please apply. This will hopefully become one of the most competitive PhD programs in the world. ellis.eu/en/news/ellis-phd-p…
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Thank you Yisong and the Award Committee for choosing the VAE for the Test of Time award. I like to congratulate Durk who was my first (brilliant) student when moving back to the Netherlands and who is the main architect of the VAE. It was absolutely fantastic working with him.
Congratulations to @dpkingma and @wellingmax for winning the inaugural ICLR Test of Time Award for their amazing work on Auto-Encoding Variational Bayes, the paper that proposed Variational Autoencoders!
arxiv.org/abs/1312.6114
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I can’t wait to get started with my co-founder @ac_edwards_1 and our top-notch team of experts across ML, chemistry and engineering to design new materials for carbon capture with AI. I am confident we can make a positive impact on the world!
🚀We're excited to emerge from stealth and announce our $30M Seed financing round. A huge thank you to our incredible investor group including @HoxtonVentures, @BasisSet, @lightspeedvp, @northzoneVC, @localglobevc, Touring Capital, Giant Ventures, @FjLabs, @ZeroPrimeVC & Tiferes Ventures who all share and back our vision.
We’ve set out on a mission to transform how materials are designed and developed using AI and, in the process, tackle some of society’s most critical challenges. We recognise that the need for such developments could not be greater and have assembled a world-class team motivated by this very fact.
To further accelerate our impact, we're immensely grateful to have the support of @geoffreyhinton who has joined our advisory board. We are also excited to announce our partnership with @ylecun and the @Meta FAIR team to develop advanced materials for carbon capture - a critical piece of the climate puzzle.
We're just getting started, but you can learn more about our work in the full press on our site.
@wellingmax // @ac_edwards_1
fortune.com/europe/2024/06/1…
#AI #machinelearning #climatechange #sustainability
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Proud to share the webpage for the brand-new Microsoft Research Lab Amsterdam where we will work on molecular simulation for green technology and healthcare. We are hiring deep learning for computational chemistry researchers and engineers.
microsoft.com/en-us/research…
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Please share. This man will be remembered as a hero who didn’t abandon his people.
.@ZelenskyyUa's tv address to the Russian (!) people might be the most moving speech that I've ever seen in my entire life. The whole world needs to see, understand and share this crucial Ukrainian message.
#StandWithUkraine #Ukraine #Україна #Russia #Россия
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Today, we officially announced the AI4Science initiative at MSR, where we combine ML with scientific computation to develop faster and more accurate algorithms to simulate physical, chemical and biological processes, with impactful applications to health and sustainability.
Microsoft Research announces AI4Science, a new global team of machine learning, quantum physics, computational chemistry, molecular biology, fluid dynamics, and software engineering experts working to tackle important societal challenges. Learn more: msft.it/6016bIoWj
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I love this visualization! Now we need one for an irreversible Markov Chain as well. Where can I download this gif for my future lectures??
We often think of an "equilibrium" as something standing still, like a scale in perfect balance.
But many equilibria are dynamic, like a flowing river which is never changing—yet never standing still.
These dynamic equilibria are nicely described by so-called "detailed balance"
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I gave a talk on Wednesday in the Feynman Lecture Hall where Feynman taught his famous Feynman lectures. It was a humbling experience.
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I am proud to announce that today @cusp_ai has closed a $100M Series A fundraise, co-led by @NEA and @Temasek, with participation from @nvidia’s NVentures, @SamsungVentures and @Hyundai_Worldwide.
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I learnt this today: “All steel produced after 1945 is contaminated with background radiation because of the use of nuclear weapons. Such steel is unusable for many scientific and medical applications. Steel made before 1945, eg taken from sunken battleships, is be used instead.”
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This is an amazing 271 page paper by Maurice Weiler on Gauge Convolutional Neural Networks on Riemann manifolds. Absolutely masterpiece by this truly talented AMLAB PhD student. And beautifully illustrated as well. I am so blessed with these wonderful students around me!
Happy to announce our work on Coordinate Independent Convolutional Networks.
It develops a theory of CNNs on Riemannian manifolds and clarifies the interplay of the kernels' local gauge equivariance and the networks' global isometry equivariance.
arxiv.org/abs/2106.06020
[1/N]
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I just want to point out how unbelievably offensive it is that the VP of the US (and Musk) courts with a neo-nazi party in Europe and lectures Europe on Democracy. Please do not accept this as just stupidity. It is very dangerous. theguardian.com/us-news/2025…
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I am proud to announce the pioneers who will be joining Nobel Laureate Prof. Geoffrey Hinton on the CuspAI Advisory Board! Yann Lecun , Prof. Kristin Persson and Verity Harding will join our mission to build an AI search engine for discovering novel breakthrough materials.
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I am super excited to announce this really exciting work by an amazing dream team on molecule generation using equivariant flows. It's the first equivariant model that simultaneously generates atom locations and discrete properties and beats the state of the art by a good margin
Very excited to share our latest work E(n) Equivariant Normalizing Flows for Molecule Generation in 3D. Joint work with @emiel_hoogeboom @FabianFuchsML @IngmarPosner @wellingmax.
Paper: arxiv.org/abs/2105.09016
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Truly excellent piece on entropy.
Source: Quanta Magazine search.app/ichMj5mCxENsWCuW9
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I also want to speak out against reducing the accepting rate. A rejected paper is very discouraging for student (Note: I am not saying we should accept bad papers). If necessary create a new category of only papers only presented by short video.
.@icmlconf we need to accept papers based on their merits, not on some arbitrary acceptance rate. Especially now that there are no physical constraints. The community needs a good rethink of our publication process.
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Could the “guy who worked on Alphafold” saying “This paper sure saved our ass on that Nobel prize” come forward please? Maybe a citation would have been nice 😪.
CNNs (@ylecun, @Yoshua_Bengio) led to Spherical CNNs (@TacoCohen, @mario1geiger, @jonkhler, @wellingmax), and eventually to the SE(3) Transformer (@FabianFuchsML, @danielewworrall, Volker Fischer, @wellingmax).
SE(3) is the special euclidean group, consisting of rigid translations and proper rotations in 3 dimensions—meaning it inherently respects the structure of euclidean space. An architecture with this property is indispensable for moving from fixed grids to freely moving cells.
The power of Equivariant transformers can be seen through its use in AlphaFold, which outputs the 3D coordinates of all heavy atoms for a given protein using the primary amino acid sequence and aligned sequences of homologues as inputs (@GoogleDeepMind, John Jumper, @demishassabis)
AlphaFold recently won the Nobel Prize in Chemistry for its groundbreaking advance in protein structure prediction.
The particular architecture I currently use is the Equiformer (@yilunliao, @tesssmidt), which builds on all of these ideas.
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MSR will open a new office in the beautiful city of Amsterdam where I will help assemble a diverse team of researchers and engineers to work on the problem of molecular simulation. I am thrilled to announce we have already made our first hire: Rianne van den Berg!
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AKOrN is here: arxiv.org/pdf/2410.13821.
It replaces threshold units with generalized Kuramoto oscillators. It dynamically binds neurons, generates waves of activations, is adversarially robust, calibrated for uncertainty, and can reason. If you ask me: this is the next big thing!
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Our paper on Functional Neural Processes is now online:
arxiv.org/abs/1906.08324
(it's a NPB deep learning architecture without GPs)
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It is with gratitude that I announce my resignation from Qualcomm. I joined Qualcomm in August 2017 after the acquisition of Scyfer and have spent the next four years with fantastic colleagues to build up Qualcomm AI Research. 1/n
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16 experts were interviewed on global warning. All said that it will be above 2C. 60% thought between 3 and 5. At 4 degrees large parts of the planet are inhabitable by the end of the century. Your children and grandchildren will experience the resulting chaos. Think about that.
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And here it is: the long awaited bible of geometric deep learning. Great job!
Proud to share our 150-page "proto-book" with @mmbronstein @joanbruna @TacoCohen on geometric DL! Through the lens of symmetries and invariances, we attempt to distill "all you need to build the architectures that are all you need".
geometricdeeplearning.com/
More info below! 🧵
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I am super impressed with recent progress in AI. But can we extrapolate that AGI is around the corner? Remember that scaling laws are polynomial with a coefficient < 1 at best, and we have almost exhausted the reliable data sources available. Not 100% sure but interesting times!
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I sooo much agree with this. Academic jobs require juggling too many balls with barely any support (grant writing, teaching, managing a research group, supervising students and … research). Take two hrs everyday before you look at email and social media.
search.app/nnTKNba5Dqv8EuP48
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Meet GUD: our new Generative Unified Diffusion model inspired by the Renormalization Group. It generalizes standard diffusion by a choice of basis, a prior and separate noise schedules per dimension. Main author Mathis Gerdes and w/ Miranda Cheng.
arxiv.org/abs/2410.02667
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So maybe it is time to reroute all those VC $$ to AI4Science and AI4Sustainability and away from LLMs which are currently too hyped up. That bubble is about to deflate to a more reasonable valuation I would think.
Data generation through simulation is one reason why the whole idea of ML for science is so exciting.
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If you were using a graph-CNN on a meshed surface, stop right there. You are ignoring the geometry. Use mesh-CNNs instead! They look like graph-CNNs but are more powerful, because the kernel is not necessarily isotropic.
Gauge Equivariant Mesh CNNs: Anisotropic convolutions on geometric graphs
deepai.org/publication/gauge…
by Pim de Haan et al. including @maaurricce, @wellingmax
#ComputerScience #Learning
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People have the tendency to dig their opnion trenches and start shooting at the perceived enemy. This happens a lot in religion, but also in science: multiverse vs collapse, bayesian vs frequentist, and scaling versus reasoning. Get out of the trenches people!
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We are starting a group in neural PDE solving and are recruiting the project lead. Interested to lead a group of 5-10 researchers and engineers on this topic? Please apply now! microsoft.com/en-us/research…
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Holy crap 😵💫. Paris is turning into Europe’s Silicon Valley. Good sailing guys. I hope you will be successful!! techcrunch.com/2024/05/21/fr…
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All papers and video's for the ELLIS workshop on geometric deep learning are now available on the website.
geometric-relational-dl.gith…
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Merging VAEs with Flows into SurVAE flows. Great work by Didrik Nielsen who was on a highly successful ELLIS exchange from Denmark TU at U. Amsterdam. (w/ E. Hoogeboom, P. Jaini, O. Winther).
arxiv.org/pdf/2007.02731.pdf
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I watched two more tutorials today: one on structured priors and one on quantum ml. Both amazing. Highly recommended.
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Why am I not seeing more outcry on the brutal assault on DEI in the US? The queer community is the first target of authoritarian regimes (or worse). This is the time to show your support even if you feel pressured not to (in which case you have already lost freedom of speech). 🏳️🌈
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Please join us this Friday April at the 24 at the ELLIS Geometric Deep Learning virtual workshop. We have an amazing lineup of speakers and the invited talks will all be streamed. Thanks to Thomas Kipf and Erik Bekkers for the organization.
geometric-relational-dl.gith…
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And we are worrying about rogue AI while the world burns. The is a very predictable existential risk for humanity that will cause femine, large migration, and subsequent societal instability and war.
BREAKING: Vietnam 🇻🇳 and Laos 🇱🇦 have both set a new national heat record today. This comes just 3 weeks after Thailand 🇹🇭 measured over 45°C for the first time in its history, setting a new national heat record.
Absolutely brutal.
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This is what true leadership looks like. My thoughts go to the people of Ukraine, to the young soldiers on both sides who are asked to give their lives for a senseless war, their parents who live in fear, and everyone in Ukraine and Russia who stand up to this madness.
‘I have asked 27 European leaders whether Ukraine will be in NATO .... Everyone is afraid, no one answers,’ Ukrainian President Volodymyr Zelenskiy said in a late night speech reut.rs/3BMsjtg
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Shall we please stop worrying about rogue AI and instead worry about the Atlantic Overturning Circulation crossing a tipping point. It seems close and would make Europe basically unlivable. (Thanks to @jonkhler for the link) piped.video/ZHNNW8c_FaA?si=hzPW…
Just finished reading Aschenbrenner's manifesto (165p) about the impending intelligence explosion. I'm now rethinking my life plans. (Summary to follow on YT) situational-awareness.ai/
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Robbert Dijkgraaf, theoretical physicist at the University of Amsterdam and director of the Institute for Advanced Studies at Princeton will become the new minister of science and education in the Netherlands for D66. I wish him all the best in politics!
netherlandsnewslive.com/scie…
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Sindy strikes again with an oral at Neurips. The truly amazing thing for me was that if you train a VAE unsupervised with addional internal phase degrees of freedom it will automatically align phases within objects and segement them. 🫨
Excited to share Rotating Features – accepted as oral at #NeurIPS2023
Rotating Features learn to represent object affiliation via their orientation on real-world data without labels.
Let’s dive in!
📜 arxiv.org/abs/2306.00600
🖥️ github.com/loeweX/RotatingFe…
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My talk at the Institute for Advanced Studies (IAS) on July 21, 2020.
video.ias.edu/machinelearnin…
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It will only cost 2% extra investment of our annual GDP to stay below 1.5 degrees climate change. That’s around 1.7 trillion a year. We spend 1/3 of that on direct subsidies to fossil fuels. Tax Carbon emissions and that to invest in sustainability! sapienship.co/decision-maker…
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I completely agree. It’s more effective to support an excellence network and encourage mobility. I am very worried this CERN of AI will costs loads of money that can be much better spent and in the end does not attract the kind of top researchers you want to have there.
"CERN of AI" is a terrible idea.
we don't need publicly funded AI moonshots, it's impossible to compete with @DeepMind/@OpenAI/@facebookai in that game.
we need to develop and retain talent more effectively. the @ELLISforEurope plan is the right answer.
timeshighereducation.com/new…
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My talk at the ECCV Workshop on "Perception Through Structured Generative Models.
piped.video/watch?v=VKUS-cqv…
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quantamagazine.org/an-idea-f…
Nice piece in Quanta about gauge CNNs and geometric deep learning
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Nobody seems to be talking in my bubble about that war that’s coming within a week or so in Ukraine. Is it just me that’s worried?
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My latest blog on Bayesian bits, qubits, and..... Hintons (the neural bosons in a quantum neural network!).
Check out the latest blog from VP of Technology @wellingmax—he examines the question of how to adaptively determine the required precision for an AI prediction task, exploring work from @Qualcomm #AI Research that uses probabilistic bits and quantum bits: qualcomm.com/news/onq/2021/0…
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Congratulations to Christos Louizos who successfully defended his thesis today and has joined the ranks of “doctors”.
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Last Tuesday @maurice_weiler graduated from U. Amsterdam Cum Laude with his 500 page thesis "Equivariant and Coordinate Independent Convolutional Networks". Huge congratulations! Thanks to the stellar committee (also incl. @KyleCranmer, @gfbertone, @lipmanya, @DaniloJRezende)
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Until now, I was unsure what to think of Elon Musk. After all, he is responsible for accelerating the introduction of electric cars and commercial space flight. But this tweet does it for me. He is nuts and dangerous. I stand with Fauci.
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It’s time to add a 6th G to the 5 G's of geometric DL: Grids, Groups, Graphs, Geodesics, Gauges and Geometric Algebra. (@TacoCohen, @mmbronstein
@joanbruna, @PetarV_93)
Congratulations to a fantastic team: @jo_brandstetter, @rejuvyesh, @vdbergrianne.
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What a soothing oasis of rest to find one of Gabriel Peyré posts on math in between all the sceaming and mud throwing on X. Thank you.
Fourier transform on groups turns convolution into multiplication. For non-commutative groups, it is matrix-matrix multiplication though … en.wikipedia.org/wiki/Fourie… en.wikipedia.org/wiki/Convol…
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If you apply to this MSR funded position at EPFL you get to work with Bruno Correia @befcorreia , Michael Bronstein @mmbronstein and myself @wellingmax on equivariance for modeling proteins. Please apply!
recruiting.epfl.ch/Vacancies…
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It’s unlikely that data-driven ML will be replaced. Rather it will be augmented by causal modeling. And I bet that even causal modeling will eventually become data-driven itself in the form of causal generative models.
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MSR opens new office in Berlin! Amazing to now have @FrankNoeBerlin as a colleague! Super excited to start working together on projects in sustainability and health to make a positive societal impact. If you also feel inspired, make sure you apply to our job openings!
As we advance Microsoft Research's AI4Science initiative, we’re opening a lab in Berlin. Learn more from Chris Bishop, Technical Fellow & Director, & Frank Noé, our new Partner Research Manager, as they discuss the fifth paradigm of scientific discovery. ms.spr.ly/6015j782z
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I am migrating (slowly) to Bluesky. @wellingmax (same handle). See y’all there!
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Bayesian Bits: a new method to learn (I mean infer from your approximate Bayesian posterior) the number of the bits required in your neural network. When no bits survive you prune.
arxiv.org/abs/2005.07093
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What is going on here behind the scenes? Is BigTech pressured by the Trump administration to shed all DEI efforts? I find this trend of BigTech kneeling before the new emperor very concerning.
search.app/LLSDenGsmaQHqwoK9
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In this paper formulate transition path sampling as a path integral optimal control problem, which closely relates to a Schrodinger bridge problem. Fantastic work by a great team!
Excited to share our latest work at the intersection of machine learning and computational chemistry; Path Integral Stochastic Optimal Control for Sampling Transition Paths between molecular conformations. With @YuanqiD*, @priyankjaini, Ferry Hooft, @BerndEnsing and @wellingmax
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Sometimes I wonder if some of these SV people live on another planet. Before worrying about the feelings of an AI shall we please worry about 900k cows, 1.4 m goats, 1.7m sheep, 3.8m pigs, 12m ducks and 202m chicken that are slaughtered *every day*. Their feelings are real.
Should AI have a "I quit this job" button?
Anthropic CEO Dario Amodei proposes it as a serious way to explore AI experience.
If models frequently hit "quit" for tasks deemed unpleasant, should we pay attention?
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Check this out: a completely free book written bij my physics colleague at U. Amsterdam on "all of physics". It's a beautifully illustrated and highly accessible gem to take the deep dive into (classical & quantum) physics. Thanks Sander Bais!
library.oapen.org/viewer/web…
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I think this is important. I understand the EU stops its funding of Russian research grants, but let's be careful not to transfer blame to our Russian colleagues. Many are also victims, risking their lives to bring change. Maybe that's our best hope.
sciencebusiness.net/news/ger…
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As I read these posts I find it intriguing to see how confident people are about their beliefs; on both sides, while the future fate of AI seems truly very uncertain to me. I see parallels with religion (my God the only real one). At least one must have badly calibrated beliefs.
Nope. Like Gates himself said, we might see two more cycles of improvement but scaling what we have got will not get us to AGI.
Don’t believe the hype.
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Of all the symmetries I find time reversal symmetry the deepest one, because a lack of it means you are losing information and the second law of thermodynamics must apply.
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The next generation of fully steerable E(3) equivariant GNN architecture. The paper also presents a neat unified view on equivariant message passing methods. Brilliant work by @jo_brandstetter, @robdhess, @ElisevanderPol, @erikjbekkers. (Johannes is on ELLIS exchange from Linz)
Are you interested in graph structured data?
Do you want to include geometry and physics to boost your GNNs?
Check out our paper on Steerable E(3) Equivariant Graph Neural Networks.
Joint work with @robdhess @ElisevanderPol @erikjbekkers @wellingmax
arxiv.org/abs/2110.02905
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In my 2018 keynote at ICML I showed this curve and predicted that in 2025 we would have models with 100 trillion parameters. We might get there sooner...
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Europe will be blackmailed into: “if you don’t do X (sorry for the pun) we will retreat from NATO. This seems like something the Trump administration would actually do. There is only one solution: become independent of the US, economically and military.
And so it starts:
JD Vance says US could drop support for NATO if Europe tries to regulate Elon Musk’s platforms independent.co.uk/news/world…
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I am co-organizing MLSS-Indo 2020 in Indonesia. mlss.telkomuniversity.ac.id/. Indonesia is a vast country with around 6,924,511 students but little papers in ML. I am looking for sponsors who want to support a student to attend the summerschool. Contact me if you are interested!
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Tomorrow, Tu March 2 2021, we will have an ELLIS Workshop on Deep Learning for Medical Imaging. Please sign up at the link below if you want to participate or simply watch the live streaming (link on webpage). See you tomorrow!
ivi.fnwi.uva.nl/ellis/event/…
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Beautifully said Nando. We should slow down the crazy rat race and enjoy the beautiful work we do without all the unnecessary stress. It is not worth it.
Let us please talk more about mental health in the AI community. I was shocked and reminded of this by the sad and tragic death of this young colleague with so much talent.
Many of the people in our community are likely on the spectrum; ADHD, autism, Asperger’s and so on. This rich neural diversity is likely responsible for great progress in AI, but these people, including myself, are also very vulnerable.
AI used to be a small community, where universities provided shelter. But, now, the stakes are very high. There is huge competition among AI corporations in the AI race leading to routine mergers and reorgs, which cause great uncertainty and disruption. Stressed executives apply pressure and pass the stress down to the ICs.
Researchers no longer enjoy the freedom to publish at most corporations, which is a huge change to what they did before. I’m not judging whether this is good or bad, just that it is a huge change.
Researchers get paid a lot. They are sometimes told by managers to go on the job market to ascertain their value before applying for promotion, they are forced to sign 6-month to 1-year non-competes and notice periods to be able to accept a deserved promotion. This appears to me as a modern form of feudalism. Put simply, people are treated just as any other resource, as stuff. The financial stakes are very high for everyone.
Many AI scientists are now media stars. They enjoy huge media exposure, and thousands of followers in social media, but many crave more fame.
The potential for huge negative or positive impact also raises the stakes. AI ICs often see themselves as game pieces in a game among nations and corporations that is fraught with uncertainty and power trips. It is hard to tell right from wrong because laws often lag behind.
Working in AI is a privilege. I repeat, it is a huge privilege. Yet, when people suffer depression, endure micro-aggressions, or get suicidal thoughts, it doesn’t feel like any of the privileges matter.
If you’re feeling any of this, please find a therapist. It may take a few tries, and it may take time. It is worth it. Take it from one of your colleagues who has benefited a lot from PTSD therapy. I believe it has made me a more productive researcher, a more effective collaborator, and someone who appreciates work-life balance and differences in working styles. Please use the help that exists proudly, you’re not alone - you are special and you are loved.
Rest in peace, Suchir Balaji. Thank you for everything you gave us ❤️
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Einstein: "The words or the language, as they are written or spoken, do not seem to play any role in my mechanism of thought." Are we really on the right path to AGI if we base it solely on language?
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I am almost at the point where I think: let AGI or ASI come quickly to save humanity from itself.
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Computer scientists prove that entanglement in quantum systems above a certain temperature is 0 (not just small). quantamagazine.org/computer-…
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Congratulations Chris. It was a magnificent thesis and defense. I recommend your thesis to everyone who wants to learn about topological deep learning!
🚀Today, I successfully defended my PhD thesis on Topological Deep Learning @Cambridge_CL📖.
I was honoured to discuss my work with my examiners, @wellingmax and @jmhernandez233. Very grateful to everyone who has been part of this journey and in particular to @pl219_Cambridge!
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ELLis is holding a workshop on how the ML community can get involved in CORVID19 research on April 1st. Open to all.
ellis.eu/en/news/online-work…
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My talk at GIS. GIS was a wonderful conference in Paris that I can recommend to anyone. I learnt a lot about information geometry and optimal transport!
piped.video/watch?v=UdC8ezzQ…
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Back from 3 weeks of teaching ELBOs and Diffusion Models at AIMS in Cape Town. What an inspiring class of students! Thanks to @ulrichpaquet and Claire David for hosting me!
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I am not (yet) buying into the existential risk of AI going rogue, but democratizing the ability to design bio weapons is a very real threat IMO. search.app/WwJSMjjE1ks1diJXA
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Interesting statement by Roald Hoffmann. While this is what happened to CV and NLP, it may not happen like that to chemistry. ML will become a very powerful tool for the comp. chemist, but data is expensive and the microscopic eqns. are known! So inductive bias will remain key!
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My blogpost on a possible path to AGI.
Hybrid architectures are key to designing #AI models of the future. Learn about neural augmentation in this insightful post from our very own Professor @wellingmax. bit.ly/3cw9Bsp
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