Ivan Lau
PhD @NUSComputing. Interested in theory and algorithms for sequential decision-making. https://ivanphlau.github.io
@zhaoyangw.bsky.social
CS PhD student at the University of Birmingham. Research interests: automated machine learning-AutoAI (deep kernel GPs & meta-learning), and reinforcement learning. 🏳️🌈. https://www.linkedin.com/in/zhaoyang-w-4995b5269/
@tiffanyvlaar.bsky.social
Lect./Asst. Prof. in Math of ML @uofglasgow.bsky.social @ellis.eu Member WiML Board Member Prev. Postdoc @ Mila and McGill Math PhD @ University of Edinburgh Piscopia Initiative co-founder she/her
@clement-bonet.bsky.social
Postdoctoral researcher at ENSAE interested in Optimal Transport. More information at: https://clbonet.github.io/
@lenaicchizat.bsky.social
Researcher in computational mathematics Theory of deep learning, optimal transport, optimization EPFL
@ncourty.bsky.social
Professor in Computer Science. Love and hate AI Optimal Transport Affinicionado Head of Obelix group @Irisa
@bunnech.bsky.social
Assistant Professor at @EPFL in Computer Science and Life Sciences. PostDoc at @Genentech and @Stanford. PhD at @ETH and @BroadInstitute. www.aimm.epfl.ch
@rflamary.bsky.social
ML Professor at École Polytechnique. Python open source developer. Co-creator/maintainer of POT, SKADA. https://remi.flamary.com/
@rishav84ia.bsky.social
PhD student at NUS; Differential Privacy and Machine (Un)Learning Trying to stop machines from learning too much about us comp.nus.edu.sg/~rishav1
@willieneis.bsky.social
Assistant Professor in CS + AI at USC. Previously at Stanford, CMU. Machine Learning, Decision Making, AI-for-Science, Generative AI, ML Systems, LLMs. https://willieneis.github.io
@mvdw.bsky.social
Associate Professor in Machine Learning at the University of Oxford. Interested in automatic inductive bias selection using Bayesian tools.
@silviasellan.bsky.social
Incoming Assistant Professor of Computer Graphics and Geometry Processing at Columbia University www.silviasellan.com
@philipphennig.bsky.social
Professor for AI/ML Methods in Tübingen. Posts about Probabilistic Numerics, Bayesian ML, AI for Science. Computations are data, Algorithms make assumptions.
@dbindel.bsky.social
Professing computing and applied math at Cornell. Numerical methods for data science, plasma physics, other stuff depending on the day. Director, Cornell Center for Applied Mathematics; Director, Simons Collaboration on Hidden Symmetries and Fusion Energy.
@jameshensman.bsky.social
Trying to make all the AIs more efficient. Former Gaussian process connoisseur. Researcher at Microsoft Research.
@theo-brown.bsky.social
PhD student UCL / UKAEA | Probabilistic ML | Safe control | Nuclear fusion
@thomas-pinder.bsky.social
Bayesian statistics, Gaussian processes, and all things ML. Senior Applied Scientist at Amazon and developer of GPJax.
@jwenger.bsky.social
Postdoctoral Research Scientist in Statistics at Columbia University
@pnkraemer.bsky.social
Probabilistic numerics, differentiable linear algebra, and a healthy dose of figure-making. https://pnkraemer.github.io/
@dianarycai.bsky.social
Machine learning & statistics researcher @ Flatiron Institute. Posts on probabilistic ML, Bayesian statistics, decision making, and AI/ML for science. www.dianacai.com
@lacerbi.bsky.social
Assoc. Prof. of Machine & Human Intelligence | Univ. Helsinki & Finnish Centre for AI (FCAI) | Bayesian ML & probabilistic modeling | https://lacerbi.github.io/
@vincefort.bsky.social
PI at Helmholtz AI, Faculty at TU Munich, Fellow at Zuse School for reliable AI, Branco Weiss Fellow, ELLIS Scholar. Prev: Cambridge CBL, St John's College, ETH Zürich, Google Brain, Microsoft Research, Disney Research. https://fortuin.github.io/
@arnosolin.bsky.social
Assistant Professor in Machine Learning, Aalto University. ELLIS Scholar. http://arno.solin.fi
@zhidilin.bsky.social
Research Fellow @NUS 🇸🇬 | Machine Learning | Generative Models | Bayesian Inference 🌐 https://zhidi-lin.github.io/
@joshuagrochow.bsky.social
Research: TheoryCompSci, pure math, complex systems Other: climate; covid; equity, inclusion, & accessibility Assoc. Prof. @ CU Boulder Comp. Sci. & Math Views my own @joshuagrochow@mathstodon.xyz (& prev twitter) https://home.cs.colorado.edu/~jgrochow
@rrwilliams.bsky.social
professor of EECS at MIT. working in theoretical computer science namely algorithm design, complexity theory, circuit complexity, etc. i'll let you know when P != NP is proved (and when it's not)
@jasonhartline.bsky.social
Professor at Northwestern CS. Economics, by courtesy. Study mechanism design, economics of algorithms, regulation of algorithms, AI and society. https://sites.northwestern.edu/hartline/
@sophie.huiberts.me
linear programming enthusiast. investigator of evil science. haunted by beans. she/her
@kiragoldner.bsky.social
Assistant Professor at BU CDS EconCS | Theory of CS | MD+AI+DS4SG | MD4SG co-founder Previously Columbia, UW, Oberlin. Views are mine alone. www.kiragoldner.com
@mahdi.ch
Theoretical Computer Science professor @ U. of Michigan-Ann Arbor. Opinions are mine and may evolve over time. repost ≠ endorsement. Policy: I don't interact with anonymous profiles. Join AAUP. he/him/his.
@optimistsinc.bsky.social
Assistant prof at JHU CS. Interested in theory of ML, privacy, cryptography. All cat pictures my own and do not represent the cats of my employer
@lenoreblum.bsky.social
Mathematician and Theoretical Computer Scientist (#mathematics, #TCS) interested in #Consciousness and #NeuroAI (#Neuroscience, #AI). Distinguished Career Prof of CS at CMU, Emerita. President, Assoc for MathConscSci (AMCS) (https://amcs-community.org)
@henryyuen.bsky.social
Complexity, in all its forms. Associate Professor of Computer Science at Columbia University. http://www.henryyuen.net
@hatami.bsky.social
@geomblog.bsky.social
Director, Center for Tech Responsibility@Brown. FAccT OG. AI Bill of Rights coauthor. Former tech advisor to President Biden @WHOSTP. He/him/his. Posts my own.
@thesasho.bsky.social
Associate professor at U of Toronto. Computer science and math research: (differentially) private data analysis, geometry, discrepancy, optimization.
@stein.ke
Computer science, math, machine learning, (differential) privacy Researcher at Google DeepMind Kiwi🇳🇿 in California🇺🇸 http://stein.ke/
@aaroth.bsky.social
Professor at Penn, Amazon Scholar at AWS. Interested in machine learning, uncertainty quantification, game theory, privacy, fairness, and most of the intersections therein
@thejonullman.bsky.social
Associate Professor of Computer Science at Northeastern University in Boston. Dad. Imposter.
@huckbennett.bsky.social
Faculty at the University of Colorado. Interested in theoretical computer science, and especially lattices. Also: mountains, running, music. https://home.cs.colorado.edu/~hbennett/
@valeriadepaiva.bsky.social
Logician, category theorist, semanticist. Likes to understand life mathematically, please.
@womeninlogic.bsky.social
Women in Logic: Dismantling inequality skeet by skeet. https://www.womeninlogic.org/
@bouldertheory.bsky.social
Computer science theory group at the University of Colorado Boulder https://www.colorado.edu/cs-theory/
@graemesmith.bsky.social
Theorist in Waterloo. Quantum information, quantum computing, science, parenting. https://gsbsmith.ca
@johannamath.bsky.social
Math prof at Hofstra. Logician, fan of the laws of probability & randomness, & mathematical crafter. All opinions my own. She/her/hers.
@ericaklarreich.bsky.social
Mathematics and science journalist. My work has appeared in Quanta, Nature, The Atlantic, New Scientist, Science News and other publications.
@ohmygoedel.bsky.social
As if the falling sky is nothing but an ancient dream 🎶 📍 BSB/VIX Brazil ✍️ Logics, Maths, and Theoretical CS 🐈⬛ Cats ⚛️ Progressive, Nontheist
@arxiv-cs-cc.bsky.social
Computer Science -- Computational Complexity (cs.CC) source: https://export.arxiv.org/rss/cs.CC maintainer: @tmaehara.bsky.social