@gkdziugaite.bsky.social
Sr Research Scientist at Google DeepMind, Toronto. Member, Mila. Adjunct, McGill CS. PhD Machine Learning & MASt Applied Math (Cambridge), BSc Math (Warwick). gkdz.org
@pierremarion.bsky.social
Postdoc @ EPFL, working on the theory of deep learning. Previously Polytechnique and Sorbonne Université.
@dccsillag.xyz
Applied mathematician working on machine learning, statistics and compilers. Currently doing research at FGV EMAp. dccsillag.xyz
@richtarik.bsky.social
Professor of CS and Math @ KAUST. Interested in Optimization for Machine Learning. Federated learning guru. Likes 🏓🏋️♂️🎾🏐⛷️⛸️🧘♂️🤿🎹🎸✈️🏔️📷☀️🐈🍅🥚☕️
@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
@saxelab.bsky.social
Professor at the Gatsby Unit and Sainsbury Wellcome Centre, UCL, trying to figure out how we learn
@henrygo.uk
Assistant Professor (Lecturer) and RAEng Research Fellow at University of Edinburgh 🏴. Working on Verifiable AI. henrygouk.com
@atlaswang.bsky.social
https://vita-group.github.io/ 👨🏫 UT Austin ML Professor (on leave) https://www.xtxmarkets.com/ 🏦 XTX Markets Research Director (NYC AI Lab) Superpower is trying everything 🪅 Newest focus: training next-generation super intelligence - Preview above 👶
@krizna.bsky.social
https://sites.google.com/view/kriznakumar/ Associate professor at @ucdavis #machinelearning #deeplearning #probability #statistics #optimization #sampling
@benedikt.phd
Imperial PhD Deep learning | computer vision | autonomous drones | diffusion models | LLMs + RAG benedikt.phd
@hessianfree.bsky.social
Optimization Generative Modeling @Caltech, PhD @UCLA. ex Research Scientist Intern @AIatMeta (opinions are my own) why is jax so difficult
@evanatyourservice.bsky.social
ML/RL enthusiast, second-order optimization, plasticity, environmentalist
@polavieja.bsky.social
Scientist at Champalimaud Foundation (polaviejalab.org) and co-founder of Algebraic AI (algebraic.ai). #Maths4AI #AI4Science, #BehaviorAI #NeuroAI #CognitionAI #CollectiveBehavior
@carl-allen.bsky.social
Laplace Junior Chair, Machine Learning ENS Paris. (prev ETH Zurich, Edinburgh, Oxford..) Working on mathematical foundations/probabilistic interpretability of ML (what NNs learn🤷♂️, disentanglement🤔, king-man+woman=queen?👌…)
@leenacvankadara.bsky.social
Lecturer @GatsbyUCL; Previously Applied Scientist @AmazonResearch; PhD @MPI-IS @UniTuebingen
@sueyeonchung.bsky.social
Assistant Professor of Neural Science at NYU & the Flatiron Institute. Computational Neuroscience, Neural Networks, Neural Manifolds, Physics of Learning, & NeuroAI. https://sites.google.com/site/sueyeonchung/
@cianodonnell.bsky.social
Computational neuroscientist. Senior Lecturer at Ulster University in the Great City of Derry, Northern Ireland. https://odonnellgroup.github.io
@summerfieldlab.bsky.social
Neuronerd, Prof, head of HIP lab in Experimental Psychology, Oxford. Researcher, UK AI Safety Institute. https://humaninformationprocessing.com/.
@tyrellturing.bsky.social
Researcher and CIFAR Fellow, working on the intersection of machine learning and neuroscience in Montréal at @mcgill.ca and @mila-quebec.bsky.social.
@gjorjulijana.bsky.social
Professor of Computational Neuroscience, Technical University of Munich, Germany mls.ls.tum.de/compneuro/
@jbarbosa.org
Junior PI @ INM (Paris) in computational neuroscience, interested in how computations enabling cognition are distributed across brain areas. Expect neuroscience and ML content. jbarbosa.org
@kanakarajanphd.bsky.social
Associate Professor at Harvard & Kempner Institute. Applying computational frameworks & machine learning to decode multi-scale neural processes. Marathoner. Rescue dog mom. https://www.rajanlab.com/
@kordinglab.bsky.social
@Penn Prof, deep learning, brains, #causality, rigor, http://neuromatch.io, Transdisciplinary optimist, Dad, Loves outdoors, 🦖 , c4r.io
@kochatzi.bsky.social
@mtschiersch.bsky.social
Computational Neuroscience PhD student in Barcelona. Working on Data Analysis of behavior and neural recordings and computational modeling of interhemispheric working memory