Explainable AI Berlin @xai-berlin.bsky.social Explainable AI research from the machine learning group of Prof. Klaus-Robert Müller at @tuberlin.bsky.social & @bifold.berlin
BIFOLD Berlin Institute for the Foundations of Learning and Data @bifold.berlin Groundbreaking foundational research in Big Data Management, Machine Learning, and their intersection. #AI #Research
www.bifold.berlin
📰News: www.bifold.berlin/news-events/news
🔑Data Privacy: www.bifold.berlin/data-privacy
Max Lamparth, Ph.D. @mlamparth.bsky.social Research Fellow @ Stanford Intelligent Systems Laboratory and Hoover Institution at Stanford University | Focusing on interpretable, safe, and ethical AI/LLM decision-making. Ph.D. from TUM.
Laura Kopf @lkopf.bsky.social PhD student in Interpretable Machine Learning at @tuberlin.bsky.social & @bifold.berlin
https://web.ml.tu-berlin.de/author/laura-kopf/
sqIRL Lab @sqirllab.bsky.social We are sqIRL(squirrel), the Interpretable Representation Learning Lab based at IDLab - University of Antwerp & imec.
Research Areas: #RepresentationLearning, #Interpretability, #explainability
#ML #AI #XAI #mechinterp
Website: https://sqirllab.github.io/
Sebastian Bordt @sbordt.bsky.social Language models and interpretable machine learning. Postdoc @ Uni Tübingen.
https://sbordt.github.io/
Michelle Lam @mlam.bsky.social Stanford CS PhD student | hci, human-AI interaction (+ dance, design, doodling!)
michelle123lam.github.io
Duen Horng "Polo" Chau @polochau.bsky.social Professor, Georgia Tech • ML+VIS • Director, Polo Club of AI 🚀 poloclub.gatech.edu • Carnegie Mellon alum. Covert designer, cellist, pianist faculty.cc.gatech.edu/~dchau
Dilyara Bareeva @dilya.bsky.social PhD Candidate in Interpretability @FraunhoferHHI | 📍Berlin, Germany
dilyabareeva.github.io
José Oramas @jaom7.bsky.social Associate Professor @UAntwerp, sqIRL/IDLab, imec.
#RepresentationLearning, #Model #Interpretability & #Explainability
A guy who plays with toy bricks, enjoys research and gaming.
Opinions are my own
idlab.uantwerpen.be/~joramasmogrovejo
Álvaro Parafita @aparafita.bsky.social Senior Researcher at Barcelona Supercomputing Center | PhD in Causal Estimation with estimand-agnostic frameworks, working on Machine Learning Explainability
Github: @aparafita
Thomas George @tfjgeorge.bsky.social Explainability of deep neural nets and causality https://tfjgeorge.github.io/
Pepa Atanasova @apepa.bsky.social Assistant Professor, University of Copenhagen; interpretability, xAI, factuality, accountability, xAI diagnostics https://apepa.github.io/
Besmira Nushi @besmiranushi.bsky.social AI/ML, Responsible AI @Nvidia
Lucas Dixon @iislucas.bsky.social Machine learning, interpretability, visualization, Language Models, People+AI research
David Atkinson @diatkinson.bsky.social PhD student at Northeastern, previously at EpochAI. Doing AI interpretability.
diatkinson.github.io
vedang @vedanglad.bsky.social ai interpretability research and running • thinking about how models think • prev @MIT cs + physics
Alessio Devoto @alessiodevoto.bsky.social PhD in ML/AI | Researching Efficient ML/AI (vision & language) 🍀 & Interpretability | @SapienzaRoma @EdinburghNLP | https://alessiodevoto.github.io/ | ex @NVIDIA
Maria Eckstein @mariaeckstein.bsky.social Research scientist at Google DeepMind.
Intersection of cognitive science and AI. Reinforcement learning, decision making, structure learning, abstraction, cognitive modeling, interpretability.
Martin Wattenberg @wattenberg.bsky.social Human/AI interaction. ML interpretability. Visualization as design, science, art. Professor at Harvard, and part-time at Google DeepMind.
Mark Riedl @markriedl.bsky.social AI for storytelling, games, explainability, safety, ethics. Professor at Georgia Tech. Director of ML Center at GT. Time travel expert. Geek. Dad. he/him
gully @gully.bsky.social interpretable machine learning for atmospheric and astronomical data analysis, near-IR spectra, climate tech, stars & planets; bikes, Austin, diving off bridges into the ocean.
Pedro Ribeiro @pedroribeiro.bsky.social Data Scientist @ Mass General, Beth Israel, Broad | Clinical Research | Automated Interpretable Machine Learning, Evolutionary Algorithms | UPenn MSE Bioengineering, Oberlin BA Computer Science
Fiona K. Ewald @fionaewald.bsky.social PhD Student @ LMU Munich
Munich Center for Machine Learning (MCML)
Research in Interpretable ML / Explainable AI
Hailey Joren @haileyjoren.bsky.social PhD Student @ UC San Diego
Researching reliable, interpretable, and human-aligned ML/AI
Berk Ustun @berkustun.bsky.social Assistant Prof at UCSD. I work on safety, interpretability, and fairness in machine learning. www.berkustun.com
Stefan Baumann @stefanabaumann.bsky.social PhD Student at @compvis.bsky.social & @ellis.eu working on generative computer vision.
Interested in extracting world understanding from models and more controlled generation. 🌐 https://stefan-baumann.eu/
Nick Stracke @rmsnorm.bsky.social PhD Student at Ommer Lab (Stable Diffusion)
Trying to understand motion...
🌐 https://nickstracke.dev
Kolja Bauer @koljabauer.bsky.social ELLIS PhD Student in Generative AI @ Ommer Lab (Stable Diffusion)
@grumpybavarian.bsky.social @grumpybavarian.bsky.social Science at Google DeepMind. AlphaQubit. Ex-BenevolentAI. Opinions are my own.
David Abel @dabelcs.bsky.social Scientist @ DeepMind and Honorary Fellow @ U of Edinburgh.
RL, agency, philosophy, foundations, alignment.
https://david-abel.github.io
Sharad Vikram @sharadmv.bsky.social JAX, Pallas, Gemini @ Google Deepmind
Alex Irpan @alexirpan.bsky.social Research Scientist @ Google DeepMind. Formerly Robotics, now AI Safety. Has a blog. Views are my own.
@tomwardio.bsky.social @tomwardio.bsky.social Research software engineer at Google DeepMind. Currently doing science stuff. In a previous life worked in VFX and games
Pete Shaw @ptshaw.bsky.social Research Scientist at Google DeepMind. Mostly work on ML, NLP, and BioML. Based in Seattle.
http://ptshaw.com
Adam Santoro @adamsantoro.bsky.social Scientist @ Google DeepMind
Dumitru Erhan @dumitruerhan.bsky.social Research Director @GoogleDeepMind. Co-lead of Veo, working on generative models of video and their fun applications.
Luisa Zintgraf @luisazintgraf.bsky.social RL & Meta-Learning @ DeepMind.
Sebastian Farquhar @sebfar.bsky.social Senior Research Scientist at Google DeepMind. AGI Alignment researcher. Views my dog's.
Lei M. Zhang @l32zhang.bsky.social Research Scientist @ Google DeepMind. Previously @ OpenAI. Building AGI. 🤖
Soham De @soham-de.bsky.social Research Scientist at Google DeepMind
Ahmad Beirami @abeirami.bsky.social stealth // Gemini RL+inference @ Google DeepMind // Conversational AI @ Meta // RL Agents @ EA // ML+Information Theory @ MIT+Harvard+Duke // Georgia Tech PhD
📍{NYC, SFO, YYZ}
🔗 https://beirami.github.io/
Norman Casagrande @adabstract.bsky.social ML, history, coding, space, science and everything in between. Personal profile. Research Eng @ DeepMind (Google). Views my own, etc.
Kim Stachenfeld, PhD @neurokim.bsky.social Neuro + AI Research Scientist at DeepMind; Affiliate Professor at Columbia Center for Theoretical Neuroscience.
Likes studying learning+memory, hippocampi, and other things brains have and do, too.
she/her.
Ian Goodfellow @ian-goodfellow.bsky.social Research Scientist at DeepMind. Opinions my own. Inventor of GANs. Lead author of http://www.deeplearningbook.org . Founding chairman of www.publichealthactionnetwork.org
Charles Sutton @randomlywalking.bsky.social Research Scientist, Google DeepMind / Ex-academic / Deep learning to help people write code / ❤️s:🐱🐶☕️🍕
Jannis Bulian @j5b.bsky.social ML & NLP at Google DeepMind
David Pfau @davidpfau.com So far I have not found the science, but the numbers keep on circling me.
Views my own, unfortunately.
Kuzman Ganchev @ganchev.bsky.social Research Scientist at GoogleDeepMind (formerly at Google Research). UPenn graduate.
Kushal Chauhan @kushalchauhan.bsky.social Research Engineer at Google DeepMind
Thomas Kipf @tkipf.bsky.social Research at Google DeepMind. Ex-Physicist. Controllable World Simulators (GNNs, Structured World Models, Neural Assets). TLM Veo Capabilities (Ingredients & more).
📍 San Francisco, CA
Matej Balog @matejbalog.bsky.social Research Scientist at Google DeepMind, working on algorithm discovery using AI: AlphaTensor, FunSearch, and beyond
Anselm Levskaya @levskaya.bsky.social Doing spooky things with linear algebra.
Max Vladymyrov @mxvl.bsky.social Research Scientist @ Google DeepMind
Andrew Lampinen @lampinen.bsky.social Interested in cognition and artificial intelligence. Researcher at Anthropic; previously DeepMind, cognitive science at Stanford. Posts are mine.
lampinen.github.io
Elie @eliebak.hf.co Training LLM's at huggingface | hf.co/science
Daniël de Kok @danieldk.eu Machine Learning, Natural Language Processing, LLM, transformers, macOS, NixOS, Rust, C++, Python, Cycling.
Working on inference at Hugging Face 🤗. Open source ML 🚀.
Margaret Mitchell @mmitchell.bsky.social Researcher trying to shape AI towards positive outcomes. ML & Ethics +birds. Generally trying to do the right thing. TIME 100 | TED speaker | Senate testimony provider | Navigating public life as a recluse.
Former: Google, Microsoft; Current: Hugging Face
Sara Hooker @sarahooker.bsky.social I lead Cohere For AI. Formerly Research
Google Brain. ML Efficiency, LLMs,
@trustworthy_ml.
Sarah Wieten @sarahwieten.bsky.social philosopher of medicine and social sciences, clinical ethicist, pedagogy enthusiast, plant lady
'pretty decent at puns'
Looking for philosophy, medicine, public health, economics, methods, meta-research, history, and bioethics people!
She/Her
vmoens @vmoens.bsky.social Member of technical staff @periodiclabs
Open-source/open science advocate
Maintainer of torchrl / tensordict / leanrl
Former MD - Neuroscience PhD
https://github.com/vmoens
Lucas Beyer (bl16) @giffmana.ai Researcher (OpenAI. Ex: DeepMind, Brain, RWTH Aachen), Gamer, Hacker, Belgian.
Anon feedback: https://admonymous.co/giffmana
📍 Zürich, Suisse 🔗 http://lucasb.eyer.be
Dominik Moritz @domoritz.de Visualization, data, AI/ML. Professor at CMU (@dig.cmu.edu, @hcii.cmu.edu) and researcher at Apple. Previously @idl.uw.edu. Also sailboats ⛵️ and chocolate 🍫.
www.domoritz.de
Nelson Tang @nelsontang.com Data Scientist (Forecasting) @NVIDIA. Interested in Bayesian stats, causal inference, and decisions. Also dad, OEF vet, and ski/mountain enjoyer.
I blog (throw bricks into the wind) @ www.nelsontang.com
Aki Vehtari @avehtari.bsky.social Professor in computational Bayesian modeling, Aalto University, Finland. Co-author of Bayesian Data Analysis 3rd ed, Regression and Other Stories, Active Statistics and Bayesian Workflow. #mcmc_stan and #arviz developer.
https://users.aalto.fi/ave/
Hugging Face @hf.co The AI community building the future!
merve @merve.bsky.social proud mediterrenean 🧿 open-sourceress at hugging face 🤗 multimodality, zero-shot vision, vision language models, transformers
Minsuk Chang @minsuk.bsky.social Research Scientist @ Google Deepmind. Opinions are my own.
minsukchang.com
Marc Lanctot @sharky6000.bsky.social Research scientist interested in multiagent reinforcement learning, game theory, games, and search/planning.
Lover of Linux 🐧, coffee ☕, and retro gaming. Big fan of open-source. #gohabsgo 🇨🇦
For more info: https://linktr.ee/sharky6000
Thomas Wolf @thomwolf.bsky.social Co-founder @huggingface
Stella Biderman @stellaathena.bsky.social I make sure that OpenAI et al. aren't the only people who are able to study large scale AI systems.
Soumith Chintala @soumithchintala.bsky.social Cofounded and lead PyTorch at Meta. Also dabble in robotics at NYU.
AI is delicious when it is accessible and open-source.
http://soumith.ch
Sebastian Lerch @sebastianlerch.bsky.social Professor at the Department of Mathematics and Computer Science at the University of Marburg, interested in probabilistic forecasting, statistics, ML, with applications in weather, energy, environmental sciences, and beyond
ML for Science @ml4science.bsky.social Cluster of Excellence "Machine Learning: New Perspectives for Science" at University of Tübingen, Germany. Blog: https://www.machinelearningforscience.de/
Dan F-M @dfm.io Retired computational astrophysicist
Interpretability at Anthropic; prev Google DeepMind, Simons Foundation, Journal of Open Source Software
(he/him)
https://dfm.io // https://github.com/dfm
David Picard @davidpicard.eurosky.social Professor of Computer Vision/Machine Learning at Imagine/LIGM, École nationale des Ponts et Chaussées @ecoledesponts.bsky.social Music & overall happiness 🌳🪻 Born well below 350ppm 😬 mostly silly personal views
📍Paris 🔗 https://davidpicard.github.io/
Roma Patel @romapatel.bsky.social research scientist @deepmind. language & multi-agent rl & interpretability. phd @BrownUniversity '22 under ellie pavlick (she/her)
https://roma-patel.github.io
Dorsa Rohani @dorsarohani.bsky.social Deep learning, prev @NVIDIA
Thomas Fel @thomasfel.bsky.social Explainability, Computer Vision, Neuro-AI.🪴 Kempner Fellow @Harvard.
Prev. PhD @Brown, @Google, @GoPro. Crêpe lover.
📍 Boston | 🔗 thomasfel.me
@chenhaotan.bsky.social @chenhaotan.bsky.social Associate professor at the University of Chicago. Working on human-centered AI, NLP, CSS. https://chenhaot.com, https://substack.com/@cichicago
Harmanpreet Kaur @harmankaur.bsky.social Assistant professor at University of Minnesota CS. Human-centered AI, interpretable ML, hybrid intelligence systems.
Stefan Herzog @stefanherzog.bsky.social Senior Researcher @arc-mpib.bsky.social MaxPlanck @mpib-berlin.bsky.social, group leader #BOOSTING decisions: cognitive science, AI/collective intelligence, behavioral public policy, comput. social science, misinfo; stefanherzog.org scienceofboosting.org
Chandan Singh @csinva.bsky.social Seeking superhuman explanations.
Senior researcher at Microsoft Research, PhD from UC Berkeley, https://csinva.io/
Explainable AI Researcher @zootime.bsky.social I work with explainability AI in a german research facility
ExplainableML @eml-munich.bsky.social Institute for Explainable Machine Learning at @www.helmholtz-munich.de and Interpretable and Reliable Machine Learning group at Technical University of Munich and part of @munichcenterml.bsky.social
Julian Skirzynski @jskirzynski.bsky.social PhD student in Computer Science @UCSD. Studying interpretable AI and RL to improve people's decision-making.
Merzmensch aka Kosmopol (at unFiction) @merzmensch.bsky.social Antifa/scist. Writer, Artist, Researcher. Writing about Gen AI since 2017.
Art, Dadaism, Japan, Transmedia.
🇩🇪🇬🇧🇯🇵
merzmensch.com
NEW: Book "KI-Kunst" ("AI-Art"), 2023, by Wagenbach Verlag. Exploring AI since 2016. Shalom!
Sulin Liu @sulinliu.bsky.social Postdoc at MIT. Generative models, inference, AI for science. Prev: Princeton, Meta, NUS. liusulin.github.io
Vincent Dutordoir @dvinnie.bsky.social Researcher at Google DeepMind in London. Previously PhD at Cambridge University.
karpathy @karpathy.bsky.social AI @ OpenAI, Tesla, Stanford
Jeremy Howard @howard.fm https://Answer.AI & https://fast.ai founding CEO; previous: hon professor @ UQ; leader of masks4all; founding CEO Enlitic; founding president Kaggle; various other stuff…
Dileep George @dileeplearning @dileeplearning.bsky.social AGI research @DeepMind.
Ex cofounder & CTO Vicarious AI (acqd by Alphabet),
Cofounder Numenta
Triply EE (BTech IIT-Mumbai, MS&PhD Stanford). #AGIComics
blog.dileeplearning.com
Zachary Lipton @zacharylipton.bsky.social Cofounder & CTO @ Abridge, Raj Reddy Associate Prof of ML @ CMU, occasional writer, relapsing 🎷, creator of d2l.ai & approximatelycorrect.com
Ben Recht @beenwrekt.bsky.social Blog: https://argmin.substack.com/
Webpage: https://people.eecs.berkeley.edu/~brecht/
The Irrational Decision: How We Gave Computers the Power to Choose for Us. (Princeton) https://press.princeton.edu/books/hardcover/9780691272443/the-irrational-decision
Dan Roy @roydanroy.bsky.social Research Director, Founding Faculty, Canada CIFAR AI Chair @VectorInst.
Full Prof @UofT - Statistics and Computer Sci. (x-appt) danroy.org
I study assumption-free prediction and decision making under uncertainty, with inference emerging from optimality.
François Fleuret @francois.fleuret.org Research Scientist Meta/FAIR, Prof. University of Geneva, co-founder Neural Concept SA. I like reality.
https://fleuret.org
Willie Neiswanger @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