antonio vergari ⚔️ not at #ICLR2025
human being | assoc prof in #ML #AI #Edinburgh | PI of #APRIL | #reliable #probabilistic #models #tractable #generative #neuro #symbolic | heretical empiricist | he/him
👉 https://april-tools.github.io
@shubhamd.bsky.social
PhD student at University of Saarland | Ex-Research @ Mercedes-Benz R&D India, MS @ IIIT Hyderabad
@esa.int
We're the European Space Agency, keeping you posted on European space activities. Please see our Privacy Notice: https://esa.int/connectwithus
@gcresearchteam.bsky.social
The 🦋 account of the Graphcore Research team. Our mission is to contribute to the advancement of AI research and understand the computational requirements of intelligence.
@riceasphait.bsky.social
Staff research scientist @ Isomorphic Labs | Generative AI for drug discovery | Ex IDSIA, EPFL https://danielegrattarola.github.io
@w4nderlust.bsky.social
CEO @ Studio Atelico | Chief Scientist @ Predibase | Ex-UberAI, Stanford
@studioatelico.bsky.social
Webiste: https://atelico.studio/ We Build AI Engines. For Video Games. That Run On-Device.
@geehom.bsky.social
AI safety research, applying information theory and methods from complex systems for interpretability.
@andresmasegosa.bsky.social
Associate Professor at Aalborg University (Copenhagen Campus - Denmark). Probabilistic Machine Learning. https://andresmasegosa.github.io/
@burcusayin.bsky.social
Computer Scientist | PostDoc @ University of Trento | Hybrid Human-Machine Intelligence | Clinical NLP
@kgcworkshop.bsky.social
Knowledge Graph Construction Workshop and disseminating the work under the W3C Knowledge Graph Construction Community Group.
@natolambert.bsky.social
A LLN - large language Nathan - (RL, RLHF, society, robotics), athlete, yogi, chef Writes http://interconnects.ai At Ai2 via HuggingFace, Berkeley, and normal places
@kateconger.com
tech reporter for the NYT! co-author of CHARACTER LIMIT! signal: kateconger.11 buy our book: https://www.penguinrandomhouse.com/books/737290/character-limit-by-kate-conger-and-ryan-mac/ tour dates & translations: https://linktr.ee/kateconger
@sayash.bsky.social
CS PhD candidate at Princeton. I study the societal impact of AI. Website: cs.princeton.edu/~sayashk Book/Substack: aisnakeoil.com
@randomwalker.bsky.social
Princeton computer science prof. I write about the societal impact of AI, tech ethics, & social media platforms. https://www.cs.princeton.edu/~arvindn/ BOOK: AI Snake Oil. https://www.aisnakeoil.com/
@baharanm.bsky.social
Assistant Professor of CS at UCLA Machine learning, Optimization, Data-efficient learning
@jonasseng.bsky.social
PhD candidate at AIML Lab at TU Darmstadt. Working on AutoML to democratize AI.
@ai4bicdt.bsky.social
Centre for Doctoral Training at the University of Edinburgh. Supporting the next generation of scientists to realise the potential for AI to improve patient outcomes - https://ai4biomed.io
@thiviyan.bsky.social
Research Scientist at Sony AI, working on AI for Scientific Discovery. Neurosymbolic Learning and Reasoning. thiviyansingam.com
@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
@teresa-klatzer.bsky.social
PhD candidate @ University of Edinburgh Bayesian Stats | Machine Learning | Uncertainty Quantification | ML4Science | Scientific Imaging https://teresa-klatzer.github.io/
@aaronschein.bsky.social
Assistant Professor of Statistics & Data Science at UChicago Topics: data-intensive social science, Bayesian statistics, causal inference, probabilistic ML Proud “golden retriever” 🦮
@arnauddoucet.bsky.social
Senior Staff Research Scientist @Google DeepMind, previously Stats Prof @Oxford Uni - interested in Computational Statistics, Generative Modeling, Monte Carlo methods, Optimal Transport.
@neurreps.bsky.social
NeurIPS workshop and digital community | 🌐 geometry, algebra, topology + 🤖 deep learning + 🧠 neuroscience | Join us on slack! http://tinyurl.com/nr-slack Visit our website: https://www.neurreps.org/
@yuzheyang.bsky.social
Assistant Professor @UCLA | Scientist @Google | PhD @MIT | BS @PKU #ML, #AI, #health, #medicine https://people.csail.mit.edu/yuzhe/
@steven-braun.com
@philosotim.bsky.social
researching causality and interactive AI at AIML Lab, TU Darmstadt | also interested in philosophy, logic, physics and vegan baking
@moritzwillig.bsky.social
PhD student at AIML Lab, TU Darmstadt, Germany. Connecting AI & Causality. | Website: https://moritz-willig.de/
@marfig.bsky.social
Distinguished Professor of ECE and Feedzai Professor of machine learning @istecnico.bsky.social. Professor, photographer, music lover, curious about almost everything.
@alfcnz.bsky.social
Musician, math lover, cook, dancer, 🏳️🌈, and an ass prof of Computer Science at New York University
@samikaski.bsky.social
Probabilistic machine learning and its applications in AI, health, user interaction. @ellisinstitute.fi, @ellis.eu, fcai.fi, @aifunmcr.bsky.social
@autreche.bsky.social
Human-Centric Machine Learning at the Max Planck Institute for Software Systems
@wulfdewolf.bsky.social
PhD student @edinburgh-uni.bsky.social NeuroRSE intern @flatironinstitute.org NeuroAI intern @cshlnews.bsky.social Trying to understand spatial computation and memory in biological neural networks. I run a lot. wolfdewulf.eu
@tychovdo.bsky.social
Postgraduate researcher (PhD) at Imperial College London and visiting researcher at the University of Oxford. Working on probabilistic machine learning.
@lawrennd.bsky.social
Professor of Machine Learning, University of Cambridge, academic lead of ai@cam, Accelerate Science, author of The Atomic Human, proceedings editor for PMLR.
@yuzhaouoe.bsky.social
https://yuzhaouoe.github.io/ | PhD Student @ University of Edinburgh | Opening the Black Box for Efficient Training/Inference
@zzhe.bsky.social
Incoming Assist. Prof. @UVA | Faculty fellow @NYU | CS Ph.D @UCLA | Neurosymbolic AI, Probabilistic ML, Constraints, AI4Science | https://zzeng.me/
@soheeyang.bsky.social
PhD student/research scientist intern at UCL NLP/Google DeepMind (50/50 split). Previously MS at KAIST AI and research engineer at Naver Clova. #NLP #ML 👉 https://soheeyang.github.io/
@phillip-lippe.bsky.social
Research Scientist GoogleDeepMind. Working on large-scale pretraining at Gemini. https://phlippe.github.io/
@federico-errica.bsky.social
Senior Research Scientist at NEC. PhD in CS @ UniPi, Bayesian Deep Learning for Graphs. Trying to do Science 🔍, not SotA 🥇.
@imtd.bsky.social
🌐 https://www.trdavidson.com 🔬research: GenAI; representation learning; safe AI integration; agents PhD @EPFL on reliable magic Internship @Google on synthetic data machine learning & company building 🎓@NYU @UvA alumn