@mlamparth.bsky.social
Postdoc at @Stanford, @StanfordCISAC, Stanford Center for AI Safety, and the SERI program | Focusing on interpretable, safe, and ethical AI decision-making.
@sqirllab.bsky.social
We are "squIRreL", the Interpretable Representation Learning Lab based at IDLab - University of Antwerp & imec. Research Areas: #RepresentationLearning, Model #Interpretability, #explainability, #DeepLearning #ML #AI #XAI #mechinterp
@sbordt.bsky.social
Understanding LLMs. Interpretable Machine Learning. Postdoc @ Uni Tuebingen. https://sbordt.github.io/
@mlam.bsky.social
Stanford CS PhD student | hci, human-centered AI, social computing, responsible AI (+ dance, design, doodling!) michelle123lam.github.io
@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
@dilya.bsky.social
PhD Candidate in Interpretability @FraunhoferHHI | 📍Berlin, Germany dilyabareeva.github.io
@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
@aparafita.bsky.social
Senior Researcher at Barcelona Supercomputing Center | PhD in Causal Estimation with estimand-agnostic frameworks, working on Machine Learning Explainability Github: @aparafita
@tfjgeorge.bsky.social
Explainability of deep neural nets and causality https://tfjgeorge.github.io/
@apepa.bsky.social
Assistant Professor, University of Copenhagen; interpretability, xAI, factuality, accountability, xAI diagnostics https://apepa.github.io/
@besmiranushi.bsky.social
AI/ML, Responsible AI, Technology & Society @MicrosoftResearch
@iislucas.bsky.social
Machine learning, interpretability, visualization, Language Models, People+AI research
@diatkinson.bsky.social
PhD student at Northeastern, previously at EpochAI. Doing AI interpretability. diatkinson.github.io
@vedanglad.bsky.social
ai interpretability research and running • thinking about how models think • prev @MIT cs + physics
@alessiodevoto.bsky.social
PhD in ML/AI | Researching Efficient ML/AI (vision & language) 🍀 & Interpretability | @SapienzaRoma @EdinburghNLP | https://alessiodevoto.github.io/
@mariaeckstein.bsky.social
Research scientist at Google DeepMind. Intersection of cognitive science and AI. Reinforcement learning, decision making, structure learning, abstraction, cognitive modeling, interpretability.
@wattenberg.bsky.social
Human/AI interaction. ML interpretability. Visualization as design, science, art. Professor at Harvard, and part-time at Google DeepMind.
@markriedl.bsky.social
AI for storytelling, games, explainability, safety, ethics. Professor at Georgia Tech. Associate Director of ML Center at GT. Time travel expert. Geek. Dad. he/him
@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.
@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
@fionaewald.bsky.social
PhD Student @ LMU Munich Munich Center for Machine Learning (MCML) Research in Interpretable ML / Explainable AI
@haileyjoren.bsky.social
PhD Student @ UC San Diego Researching reliable, interpretable, and human-aligned ML/AI
@berkustun.bsky.social
Assistant Prof at UCSD. I work on interpretability, fairness, and safety in ML. www.berkustun.com
@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/
@rmsnorm.bsky.social
PhD Student at Ommer Lab (Stable Diffusion) Trying to understand motion... 🌐 https://nickstracke.dev
@dabelcs.bsky.social
Researcher @ Google DeepMind and Honorary Fellow @ U of Edinburgh. RL, philosophy, foundations, AI. https://david-abel.github.io
@alexirpan.bsky.social
Research Scientist @ Google DeepMind. Formerly Robotics, now AI Safety. Has a blog. Views are my own.
@ptshaw.bsky.social
Research Scientist at Google DeepMind. Mostly work on ML, NLP, and BioML. Based in Seattle. http://ptshaw.com
@dumitruerhan.bsky.social
Research Director @GoogleDeepMind. Co-lead of Veo, working on generative models of video and their fun applications.
@sebfar.bsky.social
Senior Research Scientist at Google DeepMind. AGI Alignment researcher. Views my dog's.
@l32zhang.bsky.social
Research Scientist @ Google DeepMind. Previously @ OpenAI. Building AGI. 🤖
@abeirami.bsky.social
GenAI post-training at Google DeepMind / Google Research | ex-{Meta, EA, MIT, Harvard, Duke} | Georgia Tech PhD | زن زندگی آزادی | opinions my own 📍{NYC, YYZ} 🔗 https://www.mit.edu/~beirami/
@adabstract.bsky.social
ML, history, coding, space, science and everything in between. Personal profile. Research Eng @ DeepMind (Google). Views my own, etc.
@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.bsky.social
Research Scientist at DeepMind. Opinions my own. Inventor of GANs. Lead author of http://www.deeplearningbook.org . Chronically ill: bilateral Ménière’s disease + long COVID. Founding chairman of www.publichealthactionnetwork.org
@randomlywalking.bsky.social
Research Scientist, Google DeepMind / Ex-academic / Deep learning to help people write code / ❤️s:🐱🐶☕️🍕
@davidpfau.com
So far I have not found the science, but the numbers keep on circling me. Views my own, unfortunately.
@ganchev.bsky.social
Research Scientist at GoogleDeepMind (formerly at Google Research). UPenn graduate.
@tkipf.bsky.social
Research at Google DeepMind. Ex-Physicist. Controllable World Simulators (GNNs, Structured World Models, Neural Assets). 📍 San Francisco, CA
@matejbalog.bsky.social
Research Scientist at Google DeepMind, working on algorithm discovery using AI: AlphaTensor, FunSearch, and beyond