Updates

2024-01 Our paper Improving Convergence and Generalization Using Parameter Symmetries was accepted by ICLR 2024 for oral presentation.

2023-11 I will be at the Mathematics and Machine Learning conference and NeurIPS in December. Looking forward to meeting old and new friends!

2023-10 Two extended abstracts were accepted by NeurIPS workshops: Improving Convergence and Generalization Using Parameter Symmetries at NeurReps and Understanding Mode Connectivity via Parameter Space Symmetry at UniReps.

2023-09 Our paper DYffusion: A Dynamics-informed Diffusion Model for Spatiotemporal Forecasting was accepted by NeurIPS 2023.

2023-07 Talk on Symmetries, flat minima, and the conserved quantities of gradient flow at Boston Computation Club. [Video]

2023-06 Honored to be selected to receive the DeepMind Fellowship.

2023-03 Presented Symmetry Teleportation at the CSE 35th Anniversary celebration poster session.

2023-01 Our paper Symmetries, flat minima, and the conserved quantities of gradient flow was accepted by ICLR 2023.

2022-11 Contributed talk on Symmetry Teleportation at Conference on the Mathematical Theory of Deep Neural Networks (DeepMath 2022)

2022-09 Our paper Symmetry Teleportation for Accelerated Optimization was accepted by NeurIPS 2022.

2022-06 Interning this summer at the MIT-IBM Watson AI Lab.

2022-05 Our paper LIMO: Latent Inceptionism for Targeted Molecule Generation was accepted by ICML 2022.

2022-04 Our paper Concentric Spherical Neural Network for 3D Representation Learning was accepted by IJCNN 2022.

2021-09 Joined the Spatiotemporal Machine Learning Lab and started PhD at UC San Diego!