#ICML2017 was also in Sydney and was an absolute blast
#ICML2017 was also in Sydney and was an absolute blast
Paper: arxiv.org/abs/2606.11337
Can AI *synthesize* scientific conclusions in health? We find that, on medical conclusions, we are far from it!
Check out our live dashboard: sciconbench.cs.princeton.edu
led by @hayoungjung.bsky.social
Paper: arxiv.org/abs/2606.11337
Can AI *synthesize* scientific conclusions in health? We find that, on medical conclusions, we are far from it!
Check out our live dashboard: sciconbench.cs.princeton.edu
led by @hayoungjung.bsky.social
A solvable energy-based model where training-time phase transitions explain sampling temperature tuning, double descent, tempered posteriors, and more.
A solvable energy-based model where training-time phase transitions explain sampling temperature tuning, double descent, tempered posteriors, and more.
I felt I just did my job but as a physicist, (not former), this was not on my bucket list.
I felt I just did my job but as a physicist, (not former), this was not on my bucket list.
- #ICLR2026 in Rio de Janeiro, Brazil
- #ICML2026 in Seoul, South Korea
- #NeurIPS2026 in Sydney, Australia
Which one do you want to go to the most?
#ICML2017 was also in Sydney and was an absolute blast
- #ICLR2026 in Rio de Janeiro, Brazil
- #ICML2026 in Seoul, South Korea
- #NeurIPS2026 in Sydney, Australia
Which one do you want to go to the most?
In Muon, polar decomposition should always precede momentum, which significantly improves signal recovery.
I'm excited to share this since few theory has been working on the benefit of momentum in Muon!
arxiv.org/abs/2606.03899
ZendoWorld tests interactive visual reasoning and demonstrates that current agents (VLM and NeSy) still struggle with both rule induction and informative experimentation 🤖💭
Not just label what they see, but form explicit hypotheses, design experiments to test them, and revise their beliefs in light of the evidence. We built ZendoWorld to find out!
ZendoWorld tests interactive visual reasoning and demonstrates that current agents (VLM and NeSy) still struggle with both rule induction and informative experimentation 🤖💭
Our first NeurIPS submissions since 2015, and both got in on the first try: one on temporal point processes, one on counterfactual queries on tissue graphs.
Paper threads coming soon. See you in Paris & Sydney! 👋
Our first NeurIPS submissions since 2015, and both got in on the first try: one on temporal point processes, one on counterfactual queries on tissue graphs.
Paper threads coming soon. See you in Paris & Sydney! 👋
aab, ccd & eef share a pattern, regardless of the specific elements. How RNNs build abstract representations of sequence structure?
Led by Vezha Boboeva, who is on the faculty job market now. If you're hiring in comp/systems neuro, she's exactly who you want!
How do RNNs learn abstract rules from sequences, independent of specific stimuli?
By Vezha Boboeva, with Alberto Pezzotta & George Dimitriadis
"From sequences to schemas: low-rank recurrent dynamics underlie abstract relational representations"
www.biorxiv.org/content/10.6...
aab, ccd & eef share a pattern, regardless of the specific elements. How RNNs build abstract representations of sequence structure?
Led by Vezha Boboeva, who is on the faculty job market now. If you're hiring in comp/systems neuro, she's exactly who you want!
On behalf of all the local Australian (and Australasian) researchers, students, and academics who will only see a fraction of the ML scene due to convenience, thank you, #NeurIPS2026.
bsky.app/profile/ccan...
On behalf of all the local Australian (and Australasian) researchers, students, and academics who will only see a fraction of the ML scene due to convenience, thank you, #NeurIPS2026.
bsky.app/profile/ccan...
⏰Deadline: Aug 29, AoE
🔗Website with more informations: gddl-neurips-2026.github.io
⏰Deadline: Aug 29, AoE
🔗Website with more informations: gddl-neurips-2026.github.io
Our paper accepted at #neurips2026 led by @florianmahner.bsky.social & @rothj.bsky.social addressed these questions comparing 162 vision models, with intriguing results.
arxiv.org/abs/2605.13675
🧵
Our paper accepted at #neurips2026 led by @florianmahner.bsky.social & @rothj.bsky.social addressed these questions comparing 162 vision models, with intriguing results.
arxiv.org/abs/2605.13675
🧵