Eric Todd
CS PhD Student, Northeastern University - Machine Learning, Interpretability https://ericwtodd.github.io
@hyesunyun.bsky.social
PhD candidate in CS at Northeastern University | NLP + HCI for health | she/her 🏃♀️🧅🌈
@matthewkowal.bsky.social
PhD @ York University / Research Intern @ Ubisoft LaForge / Technical Lead @ VectorInst/ Previously @ Toyota Research Institute and @ NextAI Interpretability and Computer Vision
@francois.fleuret.org
Research Scientist Meta/FAIR, Prof. University of Geneva, co-founder Neural Concept SA. I like reality. https://fleuret.org
@juand-r.bsky.social
CS PhD student at UT Austin in #NLP Interested in language, reasoning, semantics and cognitive science. One day we'll have more efficient, interpretable and robust models! Other interests: math, philosophy, cinema https://www.juandiego-rodriguez.com/
@eccv.bsky.social
Official Account for the European Conference on Computer Vision (ECCV) #ECCV2026, Malmo 🇸🇪 Hosted by @jbhaurum and @CSProfKGD
@iccv.bsky.social
Official account for the IEEE/CVF International Conference on Computer Vision. #ICCV2025 Honolulu 🇺🇸 Co-hosted by @natanielruiz @antoninofurnari @yaelvinker @CSProfKGD
@cvprconference.bsky.social
Official account for IEEE/CVF Conference on Computer Vision & Pattern Recognition. Hosted by @deblinaml @jbhaurum & @CSProfKGD 📍🌎 🔗 cvpr.thecvf.com 🎂 June 19, 1983
@actinterp.bsky.social
🛠️ Actionable Interpretability🔎 @icmlconf.bsky.social 2025 | Bridging the gap between insights and actions ✨ https://actionable-interpretability.github.io
@turntrout.bsky.social
Research scientist at Google DeepMind. All opinions are my own. https://turntrout.com
@thisisadax.bsky.social
Cognitive neuroscience. Deep learning. PhD Student at Princeton Neuroscience with @cocoscilab.bsky.social and Cohen Lab.
@taylorwwebb.bsky.social
Studying cognition in humans and machines https://scholar.google.com/citations?user=WCmrJoQAAAAJ&hl=en
@jaydeepborkar.bsky.social
CS PhD student at Northeastern. Organizer at the Trustworthy ML Initiative (trustworthyml.org). s&p in language models + mountain biking. jaydeepborkar.github.io
@koyena.bsky.social
CS Ph.D. Candidate @ Northeastern | Interpretability + Data Science | BS/MS @ Brown koyenapal.github.io
@hibaahsan.bsky.social
PhD student @ Northeastern University, Clinical NLP https://hibaahsan.github.io/ she/her
@mtutek.bsky.social
Postdoc @ TakeLab, UniZG | previously: Technion; TU Darmstadt | PhD @ TakeLab, UniZG Faithful explainability, controllability & safety of LLMs. 🔎 On the academic job market 🔎 https://mttk.github.io/
@hidenori8tanaka.bsky.social
Group Leader, CBS-NTT "Physics of Intelligence" Program at Harvard website: https://sites.google.com/view/htanaka/home
@canrager.bsky.social
@jeffdean.bsky.social
Google Chief Scientist, Gemini Lead. Opinions stated here are my own, not those of Google. Gemini, TensorFlow, MapReduce, Bigtable, Spanner, ML things, ...
@angieboggust.bsky.social
MIT PhD candidate in the VIS group working on interpretability and human-AI alignment
@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
@csprofkgd.bsky.social
#CS Associate Prof York University, #ComputerVision Scientist Samsung #AI, VectorInst Faculty Affiliate, TPAMI AE, ELLIS4Europe Member, #CVPR2025 Publicity Chair on X 📍Toronto 🇨🇦 🔗 csprofkgd.github.io 🗓️ Joined Nov 2024
@colmweb.org
The 2025 Conference on Language Modeling will take place at the Palais des Congrès in Montreal, Canada from October 7-10, 2025
@lambdaviking.bsky.social
Will irl - PhD student @ NYU on the academic job market! Using complexity theory and formal languages to understand the power and limits of LLMs https://lambdaviking.com/ https://github.com/viking-sudo-rm
@lampinen.bsky.social
Interested in cognition and artificial intelligence. Research Scientist at Google DeepMind. Previously cognitive science at Stanford. Posts are mine. lampinen.github.io
@cgpotts.bsky.social
Stanford Professor of Linguistics and, by courtesy, of Computer Science, and member of @stanfordnlp.bsky.social and The Stanford AI Lab. He/Him/His. https://web.stanford.edu/~cgpotts/
@ndif-team.bsky.social
The National Deep Inference Fabric, an NSF-funded computational infrastructure to enable research on large-scale Artificial Intelligence. 🔗 NDIF: https://ndif.us 🧰 NNsight API: https://nnsight.net 😸 GitHub: https://github.com/ndif-team/nnsight
@noahdgoodman.bsky.social
Professor of Natural and Artificial Intelligence @Stanford. Safety and alignment @GoogleDeepMind.
@sarahooker.bsky.social
I lead Cohere For AI. Formerly Research Google Brain. ML Efficiency, LLMs, @trustworthy_ml.
@neuripsconf.bsky.social
The Thirty-Eighth Annual Conference on Neural Information Processing Systems will be held in Vancouver Convention Center, on Tuesday, Dec 10 through Sunday, Dec 15. https://neurips.cc/
@iclr-conf.bsky.social
International Conference on Learning Representations https://iclr.cc/
@junyanz.bsky.social
Assistant Professor of the Generative Intelligence Lab at Carnegie Mellon University. Understanding and creating pixels. All the code and models are available at http://github.com/junyanz.