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I’m presenting our work at CVPR this week and happy to chat! 1) Thu 6/12 10am talk A 107A Practical/Theoretical Gap workshop 2) Thu 6/12 11:30am talk A 101D Embodied AI workshop 3) Sun 6/15 morning poster session: A Unified Model for Accelerated MRI

Stable-ChebNet Stable long range dependency is essential for physics, social network, and science, Technically, information needs to traverse effectively through out deep learning models without dissipating by due to lack of design. We propose a fundamentally

Lean Copilot: Large language models as copilots for theorem proving in Lean. ~ Peiyang Song, Kaiyu Yang, Anima Anandkumar. neus-2025.github.io/files/papers/p… #ITP #LeanProver #LLMs

A very cool result showing overparametrized gradient descent (EM) learns Gaussian mixtures. It uses tools from tensor decomposition we developed and connects it to gradient descent.

Given the new result, I see an extension to proving conditions under which gradient descent can learn general functions on two layer neural network based on score function tensor formulation we developed, which is generalization of Hermite polynomials for Gaussians.

I'm excited to share our new work, DAPS, an inference-time diffusion sampler for solving general inverse problems without fine-tuning. DAPS significantly improves sample quality across multiple image restoration tasks, particularly in complicated nonlinear inverse problems. DAPS

Thrilled to see DAPS, our new technique for diffusion-based inverse problem solving, selected as an oral at #CVPR2025! Huge kudos to brilliant student collaborators Wenda Chu and Bingliang Zhang. Follow them for more great research, and don’t miss their talk on June 15!

I will be at #CVPR2025 tomorrow and thrilled to receive the IEEE Kiyo Tomiyasu award. See you all there !

Thank you Furong Huang You were my first student and it fills me with joy to see you fly so high and do amazing impactful work!

Congratulations Zongyi Li Miguel Jiawei Zhao Arushi! #caltech2025 @caltech commencement

Check out our poster on neural operators for medical imaging today #CVPR2025

Amazing time at #CVPR with brilliant minds! Big congrats to Prof. Anima Anandkumar on receiving the IEEE Award! 🏆 Your mentorship light my way Shout-out to Armeet for making any-resolution neural operators for imaging possible. Check out the demo: huggingface.co/spaces/armeet/…

Thank you #CVPR2025 for hosting my IEEE Kiyo Tomiyasu award. I am thrilled to represent the work of my team and collaborators in bringing AI to scientific domains with Neural Operators and physics-informed learning. The future of science is AI+Science! I was not aware that Kiyo