Updates

2024-06 Interning this summer at NTT Research in Cambridge, MA.

2024-04 Contributed talk on Symmetries, flat minima, and the conserved quantities of gradient flow at SOCAMS (Southern California Applied Mathematics Symposium).

2024-03 Our paper Understanding the Difficulty of Solving Cauchy Problems with PINNs was accepted by The 6th Annual Learning for Dynamics and Control Conference (L4DC 2024).

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

2023-10 Two extended abstracts were accepted by NeurIPS workshops:
              • Improving Convergence and Generalization Using Parameter Symmetries at NeurReps
              • 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.

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

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

2022-12 Presented Symmetries, flat minima, and the conserved quantities of gradient flow at NeurIPS workshops NeurReps and WiML.

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!