Max Thiessen
PhD student in machine learning at TU Wien.
Graphs | active learning | learning theory
https://maxthiessen.github.io
@alucchi.bsky.social
Researcher in optimization and theoretical machine learning. Assistant professor at the University of Basel. Past: EPFL, ETH Zurich (Switzerland) 🇨🇭
@konstmish.bsky.social
Research Scientist at Meta Paris Code generation, math, optimization
@yiiiifang.bsky.social
PhD student @uw. Undergrad @usc. Data curation, active learning, ml theory.
@richtarik.bsky.social
Professor of CS and Math @ KAUST. Interested in Optimization for Machine Learning. Federated learning guru. Likes 🏓🏋️♂️🎾🏐⛷️⛸️🧘♂️🤿🎹🎸✈️🏔️📷☀️🐈🍅🥚☕️
@andrewgwils.bsky.social
Machine Learning Professor https://cims.nyu.edu/~andrewgw
@thegradient.bsky.social
Senior Research Scientist at Google DeepMind. I ∈ Optimization ∩ Machine Learning. Fan of IronMaiden🤘.Here to discuss research 🤓
@michal-feldman.bsky.social
Professor of Computer Science, @TelAvivUni | @ACM SIGECOM Chair | Research areas: Econ&CS, Algorithmic Game Theory, Market Design
@sid-devic.bsky.social
PhD student @USC, previously undergrad @UT_Dallas. Algorithmic fairness and ML theory. Research site: https://sid.devic.us/
@chuningxdy.bsky.social
PhD student @UofT and @Vector, Deep Learning Theory https://www.cs.toronto.edu/~chuning/
@stephmilani.bsky.social
PhD Student in Machine Learning at CMU. 🐦 twitter.com/steph_milani 🌐 stephmilani.github.io
@paulwgoldberg.bsky.social
Professor of Computer Science, Oxford University. Research interest in Algorithmic Game Theory, also Computational Complexity. Also interested in good urbanism & cartoons https://www.cs.ox.ac.uk/people/paul.goldberg/index1.html
@arvindh75.bsky.social
ELLIS PhD student @Uni_stuttgart @EdinburghUni, Cautiously optimistic about GNNs and KGs | prev: @iiit_hyderabad @GoogleDeepMind
@algarciacast.bsky.social
PhD candidate at @amlab.bsky.social focusing on Geometry-informed Machine Learning 🤖 https://agarciacast.github.io
@paulhausner.bsky.social
PhD Student at Uppsala University | Working on learning to optimize & graph neural networks
@aarshvi.bsky.social
CS PhD @NYU; Active learning, randomized sketching and sampling, high dimensional statistics, fundamental problems in ML. https://aarshvig.github.io
@flrp.bsky.social
TU Wien, Center for Research Data Management, Computer Science, ML/AI. Hobbies are my own. P.S. I block easily
@jeongwhanchoi.bsky.social
Ph.D Student @Yonsei Univ. Graph machine learning & Transformer jeongwhanchoi.me
@erikjbekkers.bsky.social
AMLab, Informatics Institute, University of Amsterdam. ELLIS Scholar. Geometry-Grounded Representation Learning. Equivariant Deep Learning.
@helenzhang.bsky.social
Ph.D. Student @ Mila Québec 🍁🤖🧗♀️ Machine learning, optimization M.Sc. @ UBC Vancouver https://tianyuehz.github.io/
@ballarin.cc
PhD student in (neuro-inspired) Deep Learning at the University of Trieste, Italy. Also: adversarially-robust/trustworthy/Bayesian DL, kernel methods, computational neuroscience. Quantitativist. Overenthusiastic tinkerer. https://ballarin.cc/
@reirab.bsky.social
CS Faculty at Mila and McGill, interested in Graphs and Complex Data, AI/ML, Misinformation, Computational Social Science and Online Safety
@mictiz.bsky.social
Complex Systems | Epi-things | Computational Social Science | Physics | Music | Photography. Postdoc at Denmark Tekniske Universitet (DTU). #epidemics #complexsystems #physics #computationalsocialscience
@akanksha-ahuja.bsky.social
AI on Graphs, Networks, Topologies 👩🏻💻🌎| PhD @Cambridge_Eng @Cambridge_Uni | MSc @CompSciOxford @UniofOxford I Prev @FCC_study, @CMSExperiment, AWAKE @CERN
@giuseppemarra.bsky.social
Assistant Professor in Artificial Intelligence KU Leuven Belgium
@mohaas.bsky.social
IMPRS-IS PhD student @ University of Tübingen with Ulrike von Luxburg and Bedartha Goswami. Mostly thinking about deep learning theory. Also interested in ML for climate science. mohawastaken.github.io
@willemropke.bsky.social
PhD student | Interested in all things decision-making and learning
@mircomutti.bsky.social
Reinforcement learning, but without rewards. Postdoc at the Technion. PhD from Politecnico di Milano. https://muttimirco.github.io
@sg66.bsky.social
Reader in ML/Statistics at the Department of Mathematics, University of York, UK
@ianws.bsky.social
Postdoc @ UC Berkeley | statistics, probability, machine learning, privacy 🇨🇦 ianws.com
@pierremarion.bsky.social
Postdoc @ EPFL, working on the theory of deep learning. Previously Polytechnique and Sorbonne Université.
@kwangsungjun.bsky.social
kwang-sung jun. assistant professor at the u of arizona. ml, online learning, and bandits! i am a fan of regret minimalism, both in life and research.
@jmscarlett.bsky.social
Associate Professor, National University of Singapore. Working in information theory, machine learning, and statistics.
@taco-cohen.bsky.social
Deep learner at FAIR. Into codegen, RL, equivariance, generative models. Spent time at Qualcomm, Scyfer (acquired), UvA, Deepmind, OpenAI.
@lenaicchizat.bsky.social
Researcher in computational mathematics Theory of deep learning, optimal transport, optimization EPFL
@gabrielpeyre.bsky.social
@matteomaffei.bsky.social
Professor at TU Wien, coordinator TU Wien Cybersecurity Center, SecInt Doctoral School, SpyCoDe SFB. ERC grant holder.
@marcjourdan.bsky.social
Postdoctoral researcher @ EPFL. Previously PhD @ Inria. More details: https://marcjourdan.github.io/
@jbhuang0604.bsky.social
Associate Professor at UMD CS. YouTube: https://youtube.com/@jbhuang0604 Interested in how computers can learn and see.
@docmilanfar.bsky.social
Distinguished Scientist at Google. Computational Imaging, Machine Learning, and Vision. Posts are personal opinions. May change or disappear over time. http://milanfar.org
@sohirmaskey.bsky.social
PhD candidate in Mathematical Foundations of AI @LMU_Muenchen. Interested in Geometric DL and the beautiful math behind. www.sohirmaskey.com/