David Kingston
@tmiller-uq.bsky.social
Professor in Artificial Intelligence, The University of Queensland, Australia Human-Centred AI, Decision support, Human-agent interaction, Explainable AI https://uqtmiller.github.io
@bobkummerfeld.bsky.social
Computer Science academic. Keen exerciser (gym, rowing). Glioblastoma sufferer.
@jlizier.bsky.social
Assoc.Prof. in Complex Systems @sydneycompsci.bsky.social @sydney.edu.au. I use information theory to research information processing in complex systems in nature, complex networks, computational neuroscience, etc. Author of JIDT software. Views my own/RTs
@ststaab.bsky.social
Prof for AI. Interested in knowledge graphs, ML with background knowledge, Web science, AI Ethics
@science.org
The world's leading outlet for cutting-edge research in all areas of science. https://www.science.org
@atrupar.com
Independent journalist and publisher of the Public Notice newsletter https://www.publicnotice.co/subscribe
@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://beirami.github.io/
@felix-red-panda.bsky.social
speech synthesis and LLM nerd, DMs open, working on LLM stuff https://felix-red-panda.com based in Berlin, Germany
@drscotthawley.bsky.social
Mostly: ML for music production workflows. Professor of Physics & Senior Data Fellow at Belmont University, Nashville TN Head of Research for Hyperstate Music AI. Teacher of audio engineers, Opinions my own. Explainer blog: https://drscotthawley.github.io
@dennisfrauen.bsky.social
(Ellis) PhD student at LMU Munich. Interested in causal machine learning and reinforcement learning
@multiscaleai.bsky.social
ICLR 2025 workshop working building AI to answer a single question: Given low-level theory and computationally-expensive simulation code, how can we model complex systems on a useful time scale?
@andrewfoongyk.bsky.social
AI for cancer care at Mayo Clinic - we’re hiring! Previous: Microsoft Research, Google DeepMind, Cambridge University
@annimukh.bsky.social
CS Junior @ IITMBSc, KIIT | Papers @ IEEE, ACM | Intern @ UT Austin, TCS R&I, IITKGP | Pianist | https://annimukherjee.notion.site/anni-blogs | https://sites.google.com/view/anni-mukh/
@danmackinlay.bsky.social
AI for humans and for science. https://danmackinlay.name Research scientist @ CSIRO 🇦🇺 I'm that blogger from your search result sources list. Research areas: ml for physics, causal inference, AI safety and economic
@shitovhappens.bsky.social
Computational biologist, data scientist, PhD candidate @ Lücken lab, Helmholtz Munich
@deniz-kucuk.bsky.social
NeuroAI researcher 🧠 | vegan for the animals 🌱 | PhD Candidate in CS @mpicbs
@superobservation.bsky.social
Founder @ Superobservation- working on graph-based spatial reasoning systems and procedural animation.
@saurav-jha.bsky.social
http://sauravjha.com.np/ 🇳🇵 in 🇦🇺 AI Research Intern at #Tencent working on controllable image gen, PhD student in continual learning at #UNSW Sydney, Prev @ #Sony, #Inria, #Factset
@mohitbansal.bsky.social
Parker Distinguished Professor, @UNC. Program Chair #EMNLP2024. Director http://MURGeLab.cs.unc.edu (@uncnlp). @Berkeley_AI @TTIC_Connect @IITKanpur #NLP #CV #AI #ML https://www.cs.unc.edu/~mbansal/
@arnosolin.bsky.social
Assistant Professor in Machine Learning, Aalto University. ELLIS Scholar. http://arno.solin.fi
@maryamshanechi.bsky.social
Sawchuk Chair & Prof at USC Viterbi School of Engineering | Founding Director of USC Center for Neurotech | Developing AI/ML methods & neurotech to decode the brain & treat its conditions 🧠🤖💻 https://nseip.usc.edu/
@joshuaren.bsky.social
Ph.D. student @cs.ubc.ca, working on ML (learning dynamics, simplicity bias, iterated learning, LLM) https://joshua-ren.github.io/
@peyrardmax.bsky.social
Junior Professor CNRS (previously EPFL, TU Darmstadt) -- AI Interpretability, causal machine learning, and NLP. Currently visiting @NYU https://peyrardm.github.io
@jonkhler.argmin.xyz
web @ https://argmin.xyz interests: machine learning, ai4science, algorithms, coding member of technical staff @ https://cusp.ai past @ MSR, DeepMind, MPI-IS home @ Heimbach (Gilserberg), Berlin, Europe born @ 353 ppm block toxicity he/him
@moritzwillig.bsky.social
PhD student at AIML Lab, TU Darmstadt, Germany. Connecting AI & Causality. | Website: https://moritz-willig.de/
@ruili-pml.bsky.social
PhD student at Aalto University. Working on uncertainty quantification, few-shot learning, and probabilistic machine learning in general. https://ruili-pml.github.io
@khademinori.bsky.social
Postdoctoral Fellow, Deep Learning, @TorontoMet, PhD from @QueensU
@henstr.bsky.social
Senior Research Scientist at IBM Research and Explainability lead at the MIT-IBM AI Lab in Cambridge, MA. Interested in all things (X)AI, NLP, Visualization. Hobbies: Social chair at #NeurIPS, MiniConf, Mementor-- http://hendrik.strobelt.com
@maximemeloux.bsky.social
PhD student @LIG | Causal abstraction, interpretability & LLMs
@hellojas.bsky.social
making coffee (to make robots (to make coffee)) @ deepmind nyc find me at your local coffee shop, climbing gym, or music studio. ✨ hellojas.studio
@esl-sarah.bsky.social
PhD Candidate @hpi.de, multimodal deep learning, vision-language models. sarah.eslami.me
@metricsemma.bsky.social
Cortical surface modelling and interpretable/explainable #AI, geometric deep learning #neuroscience. Open science: HCP, dhcp, UKBiobank
@4rtemi5.bsky.social
Unsupervised multimodal representation of a learning researcher. https://www.rpisoni.dev/
@kasia-kobalczyk.bsky.social
PhD student in Machine Learning & AI 👩🏼💻 @ University of Cambridge
@seanli3.bsky.social
Graph Machine Learning, Graph algorithms, Causal Inference Research engineer @ CSIRO PhD @ ANU
@pietrolesci.bsky.social
PhD student at Cambridge University. Causality & language models. Passionate musician, professional debugger. pietrolesci.github.io
@brtrm.bsky.social
CS PhD Student @ IT University of Copenhagen | NLP, AI reasoning and seeming intelligence https://bertramhojer.github.io | nlpnorth.bsky.social
@mercyxu.bsky.social
PhD student at Imperial College London, generative (language) model compression with algebraic approaches. https://mingxue-xu.github.io/
@arduin.io
Working on evaluation of AI models (via human and AI feedback) | PhD candidate @cst.cam.ac.uk Web: https://arduin.io Github: https://github.com/rdnfn Latest project: https://app.feedbackforensics.com
@arikreuter.bsky.social
Max Planck Institute for Intelligent Systems https://arikreuter.github.io/