Diego Canez
Self-supervised Learning, Efficient DL
University of Amsterdam
https://github.com/dgcnz
@jwvdm.bsky.social
Associate Professor (UHD) at the University of Amsterdam. Probabilistic methods, deep learning, and their applications in science in engineering.
@gbarto.bsky.social
PhD candidate at AMLab, UvA. Diffusion Models, Generative Models, Deep Learning. grigorybartosh.github.io
@zadaianchuk.bsky.social
Postdoc UvA Amsterdam. PhD in ETH Zürich and MPI IS, intern in Amazon AWS. Structured representation learning for and by autonomous agents. zadaianchuk.github.io
@funailab.bsky.social
FunAI Lab at the University of Technology Nuremberg led by Prof. Yuki M. Asano website: https://fundamentalailab.github.io/
@weinzaepfelp.bsky.social
Research Scientist in Computer Vision at Naver Labs Europe https://philippeweinzaepfel.github.io/
@giffmana.ai
Researcher (OpenAI. Ex: DeepMind, Brain, RWTH Aachen), Gamer, Hacker, Belgian. Anon feedback: https://admonymous.co/giffmana 📍 Zürich, Suisse 🔗 http://lucasb.eyer.be
@hardmaru.bsky.social
I work at Sakana AI 🐟🐠🐡 → @sakanaai.bsky.social https://sakana.ai/careers
@yann-lecun.bsky.social
Professor a NYU; Chief AI Scientist at Meta. Researcher in AI, Machine Learning, Robotics, etc. ACM Turing Award Laureate. http://yann.lecun.com
@xkcd.com
@lucidrains.bsky.social
Boston transplant now living in San Francisco with a border collie / lab mix
@epfl-ai-center.bsky.social
As a hub for artificial intelligence, the EPFL AI Center leverages the extensive expertise of faculty and researchers across the Institution. It fosters a collaborative environment that nurtures multidisciplinary AI research, education, and innovation.
@rarefin.bsky.social
PhD Candidate Mila/University of Montreal | Intern at Amazon | Ex. ServiceNow, Recursion, UpStride | Researching to understand how Deep Learning works https://rarefin.github.io
@beenwrekt.bsky.social
Blog: https://argmin.substack.com/ Webpage: https://people.eecs.berkeley.edu/~brecht/
@ianholmes.org
Berkeley professor (Bioeng, Compbio). Visiting Scientist at Calico. JBrowse genome browser / Apollo annotation editor, ML for gene regulation / molecular evolution / synbio.
@mahdisoltan.bsky.social
work on theoretical foundations of AI, MLLM reliability/Eval, optimization, high dimensional probability/statistics, AI for science/healthcare; director of center on AIF4S @USC 🚲🏔️🥾🏊♂️
@jasmijn.uk
Senior Research Scientist at Google DeepMind. Interested in (equitable) language technology, gender, interpretability, NLP. Views my own. She/her. 🌐 https://jasmijn.uk
@preetumnakkiran.bsky.social
ML Research @ Apple. Understanding deep learning (generalization, calibration, diffusion, etc). preetum.nakkiran.org
@lenaicchizat.bsky.social
Researcher in computational mathematics Theory of deep learning, optimal transport, optimization EPFL
@vaishnavh.bsky.social
Foundations of AI. I like toy examples and creative ideas. 🧮🧸 Google Research | PhD, CMU | https://arxiv.org/abs/2403.06963 vaishnavh.github.io
@pierremarion.bsky.social
Postdoc @ EPFL, working on the theory of deep learning. Previously Polytechnique and Sorbonne Université.
@hannes-stark.bsky.social
MIT PhD Student - ML for biomolecules - https://hannes-stark.com/
@richtarik.bsky.social
Professor of CS and Math @ KAUST. Interested in Optimization for Machine Learning. Federated learning guru. Likes 🏓🏋️♂️🎾🏐⛷️⛸️🧘♂️🤿🎹🎸✈️🏔️📷☀️🐈🍅🥚☕️
@simonprinceai.bsky.social
Author of "Understanding Deep Learning". http://udlbook.com
@profsanjeevarora.bsky.social
Director, Princeton Language and Intelligence. Professor of CS.
@oymak.bsky.social
EECS Prof @UMich, Research on the Foundations of ML+RL+LLM https://sota.engin.umich.edu/
@quanquangu.bsky.social
Professor @UCLA, Research Scientist @ByteDance | Recent work: SPIN, SPPO, DPLM 1/2, GPM, MARS | Opinions are my own
@skamalas.bsky.social
he/him; Researcher at NAVER LABS Europe. Greek, resident a Barcelona. https://www.skamalas.com/
@dlarlus.bsky.social
Computer Vision & Machine Learning researcher at NAVER LABS europe she/her - https://dlarlus.github.io/
@jvgemert.bsky.social
Head of the Computer Vision lab; TU Delft. - Fundamental empirical Deep Learning research - Visual inductive priors for data efficiency Web: https://jvgemert.github.io/
@mtlmlopt.bsky.social
Group of researchers from Montréal. Our research loosely spans topics in machine learning and mathematical optimization. https://mtl-mlopt.github.io - https://www.youtube.com/@mtlmlopt
@4rtemi5.bsky.social
Unsupervised multimodal representation of a learning researcher. https://www.rpisoni.dev/
@ezyang.bsky.social
Developer on PyTorch at Meta. Previously Haskeller and GHC developer.
@gram-org.bsky.social
Geometry-grounded representation learning and generative modeling at ICML.
@eijkelboomfloor.bsky.social
PhD candidate at University of Amsterdam | Physics-Informed Generative Modeling
@michael-j-black.bsky.social
Director, Max Planck Institute for Intelligent Systems; Chief Scientist Meshcapade; Speaker, Cyber Valley. Building 3D humans. https://ps.is.mpg.de/person/black https://meshcapade.com/ https://scholar.google.com/citations?user=6NjbexEAAAAJ&hl=en&oi=ao
@oyounis.bsky.social
Research Engineer, Foundation Models Open Source advocate Mila - Quebec AI Institute