Ragavan Thurairatnam 🛸 NeurlPS
Deep learning since 2012. Leading a new AI lab at Jack Dorsey's Block
@jeffdean.bsky.social
Google Chief Scientist, Gemini Lead. Opinions stated here are my own, not those of Google. Gemini, TensorFlow, MapReduce, Bigtable, Spanner, ML things, ...
@cmaddis.bsky.social
Asst. Prof. in Machine Learning at UofT. #LongCOVID patient. https://www.cs.toronto.edu/~cmaddis/
@arinbjorn.is
Visiting Postdoc Scholar @UVA Previously: PhD Imperial, Evidation Health, Samsung AI Researching core ML methods as well as computational/statistical methods in biomedicine, health and law arinbjorn.is 📍Switzerland
@taltstidl.bsky.social
Researcher & PhD Candidate · Machine Learning and Data Analytics Lab @fau.de
@blog.neurips.cc.web.brid.gy
[bridged from https://blog.neurips.cc/ on the web: https://fed.brid.gy/web/blog.neurips.cc ]
@saurav-jha.bsky.social
http://sauravjha.com.np/ 🇳🇵 in 🇦🇺 AI Research Intern at #Tencent working on controllable image gen, PhD student in continual learning at #UNSW Sydney, Prev @ #Sony, #Inria, #Factset
@abdelzayed.bsky.social
Ph.D. candidate at Mila trying to understand why AI discriminates based on gender and race; and how to measure/fix that.
@marcelhussing.bsky.social
PhD student at the University of Pennsylvania. Currently, intern at MSR. Interested in reliable and replicable reinforcement learning and using it for knowledge discovery: https://marcelhussing.github.io/ All posts are my own.
@janith.bsky.social
@marenbuettner.bsky.social
Teaching machines to dream about single-cell data and mutations👩💻 PhD in Comp Bio, Research Minion, Karate Black Belt, Climber, California Newbie
@wesleypasfield.bsky.social
Write at https://open.substack.com/pub/wesleypasfield | Previously Lark Health, AWS/Amazon, GoPro, Nielsen company | Currently Emerging Tech Fellow at US Census, and Adjunct Professor at University of San Diego Applied AI MS
@benjamin-eecs.bsky.social
Reinforcement Learning PhD @NUSingapore | Undergrad @PKU1898 | Building autonomous decision making systems | Ex intern @MSFTResearch @deepseek_ai | DeepSeek-V2, DeepSeek-VL, DeepSeek-Prover
@brettcmullins.com
Differential Privacy and Explainable AI PhD Candidate @ UMass Amherst bcmullins.github.io
@shreyasv.bsky.social
CS + Chemistry senior #BITSPilani, Goa | Drug Discovery @appcair @deepforestsci @krishnaswamylab| #NLP @harvardmed | Kumaranite | Avid F1 fan | He/him
@lunarmony.bsky.social
In the name of the best within us. Former Distinguished Engineer, Recommendations@Meta (and before that @Google @Cornell) https://linkedin.com/in/jiaqizhai/ https://github.com/jiaqizhai
@teknology.bsky.social
PhD student @CMU LTI NLP | IR | Evaluation | RAG https://kimdanny.github.io
@vmoens.bsky.social
Research Engineer - PyTorch core - Meta@London - Open-source/open science advocate Maintainer of torchrl / tensordict / leanrl Former MD - Neuroscience PhD https://github.com/vmoens
@patrickomid.bsky.social
ML research at the National Renewable Energy Lab. Currently thinking about multimodal language models for the sciences, AI4Science & Engineering, open-ended learning, and planning & reasoning. #PDX #DTWD
@stanislavfort.bsky.social
AI + security | Stanford PhD in AI & Cambridge physics | techno-optimism + alignment + progress + growth | 🇺🇸🇨🇿
@sontaiscute.bsky.social
PhD student @MIT EECS & CSAIL. Working on principled and scalable methods in ML & LLM. she/her/hers sustcsonglin.github.io
@hessianfree.bsky.social
Optimization Generative Modeling @Caltech, PhD @UCLA. ex Research Scientist Intern @AIatMeta (opinions are my own) why is jax so difficult
@avt.im
Decision-making under uncertainty, machine learning theory, artificial intelligence · anti-ideological · Assistant Research Professor, Cornell https://avt.im/ · https://scholar.google.com/citations?user=6Qa-wXMAAAAJ&sortby=pubdate
@rubville.bsky.social
Generative AI @GoogleDeepMind. 🤖 Generative Models of Video #Veo2 #Veo #Phenaki 💼 Past: Character Animation @AdobeResearch
@sanghamd.bsky.social
Assistant Professor at UMD College Park| Past: JPMorgan, CMU, IBM Research, Dataminr, IIT KGP | Trustworthy ML, Interpretability, Fairness, Information Theory, Optimization, Stat ML
@benjaminfeuer.bsky.social
PhD researcher at NYU, working on LLMs, VLMs, and tabular foundation models from a data-centric perspective. Father of two, NYC diehard.
@taco-cohen.bsky.social
Deep learner at FAIR. Into codegen, RL, equivariance, generative models. Spent time at Qualcomm, Scyfer (acquired), UvA, Deepmind, OpenAI.
@ramchalamkr.bsky.social
Ml Research Engineer at the intersection of model training and efficient inference on NPUs
@lfsim.bsky.social
Lead Data Scientist at mlanalytics.ai – AI in Space researcher – Machine Learning for ESA's Ariel mission (2029) – Formerly at European Space Agency's Advanced Concepts Team and Frontier Development Lab. https://orcid.org/0000-0002-9164-5626
@wardlatentspace.bsky.social
Neuroscientist who thinks deep learning could help us learn more about intelligence than using just neuroscience.
@francois.fleuret.org
Research Scientist Meta/FAIR, Prof. University of Geneva, co-founder Neural Concept SA. I like reality. https://fleuret.org
@yisongyue.bsky.social
AI professor at Caltech. General Chair ICLR 2025. http://www.yisongyue.com
@giffmana.ai
Researcher (OpenAI. Ex: DeepMind, Brain, RWTH Aachen), Gamer, Hacker, Belgian. Anon feedback: https://admonymous.co/giffmana 📍 Zürich, Suisse 🔗 http://lucasb.eyer.be
@aparnabee.bsky.social
PhD student @MIT. Previously: @Uoft/@VectorInst, @winterlightlabs, and @IITGuwahati
@ankits0052.bsky.social
AI Research Enthusiast | Multimedia Analysis | LLMs Associate director at Accenture. PhD in LTI CMU, prev: Google, Bosch, merl, ARM Looking for the next breakthrough that will lead to AGI - understanding why LLMs actually work ankitshah009.github.io
@sloeschcke.bsky.social
Working on Efficient Training, Low-Rank Methods, and Quantization. PhD at the University of Copenhagen 🇩🇰 Member of @belongielab.org, Danish Data Science Academy, and Pioneer Centre for AI 🤖 🔗 sebulo.github.io/
@karmimy.bsky.social
Phd student in Dynamic graph representation learning Conservatoire National des Arts et Métiers - Paris @YKarmim on Twitter
@uermel.bsky.social
Scientist at Chan Zuckerberg Imaging Institute, Redwood City, CA I like to make open source cryoET things.
@saby-tweets.bsky.social
Meet me @NeurIPSConf | Generalization, Robustness, Test time compute | PhD Student @Mila_Quebec @InriaMaasai @IID_ULaval | ex-@nvidia | Overfitting unseen data
@patrickkidger.bsky.social
I do SciML + open source! 🧪 ML+proteins @ http://Cradle.bio 📚 Neural ODEs: http://arxiv.org/abs/2202.02435 🤖 JAX ecosystem: http://github.com/patrick-kidger 🧑💻 Prev. Google, Oxford 📍 Zürich, Switzerland
@yusukewm.bsky.social
Lead AI agents @ Rakuten AI. Focusing on agent architecture, evaluation, and mechanistic interpretability.