Congratulations!!
17.04.2025 13:36 β π 2 π 0 π¬ 0 π 0
I am honored to be part of the #guggfellows2025 class. My Guggenheim project is on AI systems that can discover new math in an open-ended way. Many thanks to my students, colleagues, and mentors, who inspire me every day and without whom this work wouldn't be possible. www.gf.org/stories/anno...
16.04.2025 07:41 β π 10 π 1 π¬ 1 π 0
Excited about Proofwala, @amitayush.bsky.social's new framework for ML-aided theorem-proving.
* Paper: arxiv.org/abs/2502.04671
* Code: github.com/trishullab/p...
Proofwala allows the collection of proof-step data from multiple proof assistants (Coq and Lean) and multilingual training. (1/3)
22.02.2025 21:32 β π 21 π 5 π¬ 1 π 1
Some notes from our amazing panel discussion- ayushkhaitanrutgers.github.io/jmm.html
17.01.2025 22:53 β π 1 π 0 π¬ 0 π 0
Looking forward to the #jmm2025 panel on the "Use of AI tools for Mathematics research" that we are co-organizing with @swarat.bsky.social and Amitayush Thakur. The panelists are Alex Kontorovich, Rishi Mehta, Emily Wenger and Kaiyu Yang. See you there!
03.01.2025 22:02 β π 3 π 0 π¬ 1 π 2
"Formal mathematical reasoning: A new frontier in AI"
Block diagram of a neural theorem prover
Delighted to share our new position paper: arxiv.org/abs/2412.16075!
The o1/o3 path to math reasoning is based on LLMs and large-scale test-time search. We argue for a different path that uses formal proof assistants for
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creating high-quality synthetic data
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rigorous test-time feedback. (1/2)
23.12.2024 14:49 β π 53 π 5 π¬ 2 π 0
π CS Prof at UCLA
π§ Researching reasoning and learning in artificial intelligence: tactable deep generative models, probabilistic circuits, probabilistic programming, neurosymbolic AI
https://web.cs.ucla.edu/~guyvdb/
Math PhD and cofounder of Parafin. Now building AI tools at Sugaku to accelerate pure math research
Assistant Professor at Purdue ECE. I do research on formal methods and program verification. PL/SE/FM
Associate Professor - University of Alberta
Canada CIFAR AI Chair with Amii
Machine Learning and Program Synthesis
he/him; ele/dele π¨π¦ π§π·
https://www.cs.ualberta.ca/~santanad
Human/AI interaction. ML interpretability. Visualization as design, science, art. Professor at Harvard, and part-time at Google DeepMind.
Associate Professor, IU Computer Science Β·
Core Developer, @racketlang.bsky.social Β·
Member, TC39 Β·
Handler, Gravymaker Β·
Bike Advocate, Bloomington IN
Biologist, adventurer, mountaineer, amateur wildlife photographer, pilot, veteran. Presently, I live in Brazil. Looking at my posts, I guess I need to concede that I am of the political left. One of the remaining pro-democracy Americans. π
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Mathematician at UCLA. My primary social media account is https://mathstodon.xyz/@tao . I also have a blog at https://terrytao.wordpress.com/ and a home page at https://www.math.ucla.edu/~tao/
Professor of Computer Science at UT Austin and Visiting Researcher at Google Deepmind, London. Automated Reasoning + Machine Learning + Formal Methods. https://www.cs.utexas.edu/~swarat
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