🚨 New Workshop Alert! 🚨
COML @NeurIPSConf 2025 — The first Workshop on Constrained Optimization for Machine Learning is coming to San Diego, Dec 2–7! 🌴
Website: https://t.co/R17UY1wnfY
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(1/n)🚨You can train a model solving DFT for any geometry almost without training data!🚨
Introducing Self-Refining Training for Amortized Density Functional Theory — a variational framework for learning a DFT solver that predicts the ground-state solutions for different geometries and generates the training data itself!
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This work is the result of an amazing collaboration with @CristianGabell1@hatemhelal@dom_beaini@k_neklyudov
📜 Paper: arXiv:2506.01225
💻 Code: https://t.co/f6XjqV7KVa
My lab’s contributions at #CVPR2025:
-- Organizing @vlms4all workshop (with 2 challenges)
https://t.co/qVVPFugznP
-- 2 main conference papers (1 highlight, 1 poster)
https://t.co/IO3kbIDuwv (highlight)
https://t.co/VGIdty3CTV (poster)
-- 4 workshop papers (2 spotlight talks, 2 posters)
https://t.co/YGkOd446Yl
https://t.co/qVVPFugznP
-- Invited talks and panels: 1 workshop talk, 1 workshop panel, 1 social event panel
https://t.co/FrhQlWAodL
https://t.co/ikiL1lYyx5
https://t.co/fcoOYK947h
-- 6 lab members attending!
See you over the coming days!
I am also looking to hire post-docs, so reach out to me if you are interested at [email protected]
📣 Call for a postdoc!
We are looking for a postdoctoral researcher to work at the intersection of machine learning and materials science.
Find all details here: https://t.co/odl86ClXRQ
Exciting news: the Fairness, Accountability, Transparency and Ethics (FATE) group at Microsoft Research NYC is hiring a predoctoral fellow!!! 🎉
https://t.co/gW4jPOba76
A great collab with former labmates @AntChen_ & Dongyan! Interesting cognitive limitation in LMs: strong disjunctive bias leads to poor performance on conjunctive causal inference tasks. Mirrors adult human biases—possibly a byproduct of training data priors.
📣Thrilled to announce I’ll join Carnegie Mellon University (@CMU_EPP & @LTIatCMU) as an Assistant Professor starting Fall 2026!
Until then, I’ll be a Research Scientist at @AIatMeta FAIR in SF, working with @kamalikac’s amazing team on privacy, security, and reasoning in LLMs!
Llamas browsing the web look cute, but they are capable of causing a lot of harm!
Check out our new Web Agents ∩ Safety benchmark: SafeArena!
Paper: https://t.co/De96hmCgSe
COLM is looking for senior PhDs to serve as program chair assistants. This requires faculty/mentor nomination. If interested, please ask your advisor to nominate you? Have a student that you think is a great fit? Please nominate them.
Thanks!
https://t.co/B28SUYYh0w
Looking for an undergrad volunteer who's interested in SSMs + transformers for neural decoding/BCIs at Mila! Strong coding + Pytorch skills are a must. Please DM/email me your CV + interests (priority given to those based in Montréal). Thanks! 🧠🤖
How can we make recommender systems more transparent and controllable without sacrificing quality? Introducing TEARS a scrutable RS that replaces numerical user profiles with editable text summaries (accepted @TheWebConf).
https://t.co/CwoVIRNNnI
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📢New preprint and data alert!
1/ EPISeg: Automated segmentation of the spinal cord on echo planar images using open-access multi-center data
Preprint: https://t.co/tbOfu8Wt0E
Dataset: https://t.co/22NHqWdVLA
More in the thread 🧵
Internship in our group at @Mila_Quebec in reinforcement learning + graphs for reducing energy use in buildings.
More info and submit an application by Jan 13 here:
https://forms. gle/TCChXnvSAHqzPeMz5
(remove the space - added since Twitter now downweights posts with links)