Research scientist at FAIR NY + collab w/ Vector Institute. ❤️ Machine Learning + Information Theory. Previously, PhD at UoAmsterdam, intern at DeepMind + MSRC.karenullrich.info she / herJoined December 2013
We build neural codecs from a *single* image or video, achieving compression performance close to SOTA models trained on large datasets, while requiring ~100x fewer FLOPs for decoding ⚡ #CVPR2024c3-neural-compression.github.io
I'm incredibly excited to announce our new company, @datologyai!
Training models is hard and identifying the right data is the most important and difficult part -- our goal @datologyai to make optimizing training data at scale easy and automatic across modalities.…
We’re hiring PhD interns to work on code generation research at FAIR in EMEA! Please apply at metacareers.com/jobs/112656830… if you’re interested by research in Code Llama, LLMs, code generation, compilers, reinforcement learning.
👏Exciting news! @roydanroy has been named the Vector Research Co-Director, leading the way in cutting-edge AI research along with current Research Director, Graham Taylor. Learn more about his appointment here: vectorinstitute.ai/dan-roy-named-…
🎉🎉🎉 Say goodbye to the VQ headache 🤕 - in our latest paper, we show a simple drop-in replacement for VQ based on scalar quantization that does not need any of the auxiliary losses and tricks from the VQ literature!
Accepted at NeurIPS 2023!
In perceptual video compression, using information-theoretic analysis, we've uncovered a surprising insight: preserving temporal consistency might come at the cost of reconstruction quality.
w. S. Saleh, J.Chen, W.Yu, A.Khisti
arxiv.org/pdf/2305.19301…
Release of MS-ILLM model weights
Happy to announce that we just released the model weights from our ICML paper, "Improving Statistical Fidelity for Neural Image Compression with Implicit Local Likelihood Models." (CC-BY-NC 4.0 license)
README: github.com/facebookresear…
The Neural Compression Workshop is happening in Room 317 A now! We have Johannes Balle, Tsachy Weissman, @jmhernandez233, and a contributed talk before the panel discussion at 11:30 am.
Please join our social at Maui Brewing Co. Waikiki at 6pm after the workshop. Everyone, especially compression and information theory enthusiasts, is welcome! @icmlconf
📢 Improved sampling via learned diffusions 📢
@guanhorng_liu will present our joint work with @lorenz_richter at the Frontiers4LCD #ICML2023 workshop today!
🔥New/improved sampling methods based on our unifying path-space perspective for sampling with time-reversed SDEs...🧵
🤩 Tomorrow the #ICML2023 workshops shall begin.🎙️ Join me at 9 AM I will discuss absolutely all there is to know about #BitsBackCoding @ the Structured Probabilistic Inference & Generative Modeling workshop.
#AI#ML#DataCompression
45K Followers 2K FollowingML / AI researcher, emphasis on theory.
Research Director and Canada CIFAR AI Chair, @VectorInst
Professor, @UofT (Statistics/CS)
40K Followers 1K FollowingSecular Bayesian.
Associate Professor in Machine Learning @Cambridge_CL. Talent aficionado at https://t.co/RbJkoLguey
Alum of @Twitter, Magic Pony and @Balderton
50K Followers 2K FollowingResearch Scientist at Google DeepMind. I tweet about deep learning (research + software), music, generative models (personal account).
61K Followers 2K Followinga combination of a mediocre scientist, a mediocre manager, a mediocre advisor & a mediocre PC at @nyuniversity (@CILVRatNYU) & @genentech (@PrescientDesign).
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Host of Deep Learning Classics & Trends.
Research at Google DeepMind.
DEI/DIA Chair of ICLR & NeurIPS.
Writing https://t.co/IbycyGfnDR
39K Followers 7K FollowingI lead @CohereForAI. Formerly Research @Google Brain @GoogleDeepmind. ML Efficiency at scale, LLMs, @trustworthy_ml. Changing spaces where breakthroughs happen.
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Physics, stats/ML/AI, open science.
same handle @sigmoid.social and bsky
25K Followers 2K FollowingBren Professor @caltech, Fmr Sr Director of #AI research @nvidia, Fmr Principal Scientist @awscloud, AI+Science, PDE, Neural operators. Views my own.
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1K Followers 541 FollowingProfessor of Data Science for Crop Systems at Forschungszentrum Jülich and University of Bonn
Lectures and talks: https://t.co/dbvIkpYGLH
37 Followers 118 FollowingPhD Student in Applied Mathematics at University of Edinburgh #bayesianstatistics #imaging #inverseproblems
Certified Life Coach #helppeoplegrow
67K Followers 264 FollowingDistinguished Scientist at Google Research. Computational Imaging, Machine Learning, and Vision. Tweets = personal opinions. May change or disappear over time.
187K Followers 883 FollowingCofounded and lead @PyTorch at Meta.
Also dabble in robotics at NYU.
AI is delicious when it is accessible and open-source.
45K Followers 2K FollowingML / AI researcher, emphasis on theory.
Research Director and Canada CIFAR AI Chair, @VectorInst
Professor, @UofT (Statistics/CS)
112K Followers 35 FollowingNew Orleans, Dec 10-16, 23. https://t.co/ga8aOw615g Tweets to this account are not monitored. Please send feedback to [email protected].
40K Followers 1K FollowingSecular Bayesian.
Associate Professor in Machine Learning @Cambridge_CL. Talent aficionado at https://t.co/RbJkoLguey
Alum of @Twitter, Magic Pony and @Balderton
22K Followers 1K FollowingKnowledge manifests itself in radiant dreams that shimmer like the wild sun
Views are my own
pfau at sigmoid dot social on 🦣
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107K Followers 0 FollowingInvented principles of meta-learning (1987), GANs (1990), Transformers (1991), very deep learning (1991), etc. Our AI is used many billions of times every day.
50K Followers 2K FollowingResearch Scientist at Google DeepMind. I tweet about deep learning (research + software), music, generative models (personal account).
61K Followers 2K Followinga combination of a mediocre scientist, a mediocre manager, a mediocre advisor & a mediocre PC at @nyuniversity (@CILVRatNYU) & @genentech (@PrescientDesign).
33K Followers 968 FollowingCofounded & running @ml_collective.
Host of Deep Learning Classics & Trends.
Research at Google DeepMind.
DEI/DIA Chair of ICLR & NeurIPS.
Writing https://t.co/IbycyGfnDR
39K Followers 7K FollowingI lead @CohereForAI. Formerly Research @Google Brain @GoogleDeepmind. ML Efficiency at scale, LLMs, @trustworthy_ml. Changing spaces where breakthroughs happen.
35K Followers 348 FollowingDeep learning, mostly generative models. Prev. Google Brain/DeepMind, founding team @OpenAI. Inventor of the VAE, Adam optimizer, among other things. ML PhD.
649 Followers 8 FollowingAugment's expert understanding of your codebase and dependencies removes the toil in your day, so you experience the joy of coding.
3K Followers 496 FollowingPhD student Machine Learning in Cambridge, Statistician at ❤️ In search of statistical intuition for modern ML & simple explanations for complex things 👀
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Follow me for commentary on state-of-the-art AI.
59K Followers 2K Following✨Keep it simple, make it scale. AI should be about empowering people, building understanding, & making dreams realities. 👩💻GenAI @GoogleDeepMind ex-@GitHub
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3K Followers 1K FollowingProfessor (AI/NLP)
at Hasso Plattner Institute + University of Potsdam
Prev. Rutgers (USA), Tsinghua (Beijing)
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3K Followers 399 FollowingFaculty at @WeizmannScience, research scientist @MetaAI (FAIR). Interested in deep learning of irregular/geometric data and generative models.🎗️
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