Selected Talks
Elucidating the Representation of Images Within an Unconditional Diffusion Model Denoiser
- AI + Physics Workshop at Graduate Center, CUNY, New York – Sept 2025
- Center for Computational Mathematics Reading Group, Flatiron Institute, New York – Jun 2025
- CSAIL, MIT – May 2025
Generalization in Diffusion Models Arises from Geometry-Adaptive Harmonic Rrepresentations
- Data Driven Regularization Symposium at SIAM Conference on Mathematics of Data Science (MDS24), Atlanta, Georgia – Oct 24
- CILVR Seminar, New York University – Oct 2024 (Video)
- Journal Club on Theory of Machine Learning at Center for Theorectical Neuroscience, Columbia University, New York – Oct 2024
- Emerging Generalization Settings at Simons Institute for the Theory of Computing, Berkeley, CA – Sept 2024 (Video)
- GRaM Workshop at ICML – Jul 2024 (Video)
- Youth in High Dimensions Workshop at ICTP, Trieste Italy – May 2024 (Video)
- ICLR, Vienna, Austria – May 2024 (Oral) (Video)
- Starkly Speaking Reading Group at MIT – March 2024 (Video)
Efficient diffusion model via learning multi-scale local conditional probabilities models
- ICLR, Kigali, Rwanda – May 2023 (Oral) (Video)
Stochastic Solutions for Linear Inverse Problems using image priors embedded in a diffusion model denoiser
- Flatiron-Wide Machine Learning Meeting, New York – Jun 2023 (Video)
- Workshop on Mathematical Models for Plug-and-play Image Restoration, Paris, France – Dec 2022
- NeurIPS, Virtual – Dec 2021 (Video)
Robust And Interpretable Blind Image Denoising Via Bias-Free Convolutional Neural Networks
- ICLR, Virtual (co-presented with Sreyas Mohan) – Apr 2020 (Video)
Panel Discussions
- Scale vs. Geometric Modeling, GRaM Workshop at ICML – Jul 2024 (Video)