Talks and presentations

In November 2024, I presented our work Orient Anything at NECV 2024.

In October 2024, I gave a talk on my PhD work titled "When Scale Fails" at the MIT Visual Computing Seminar and for the MIT Undergrad Math Association.

In September 2024, I presented our work Orient Anything on behalf of Backflip AI at the MIT Career Fair.

In December 2023, I gave a talk on our paper Closed-Form Diffusion Models at the NVIDIA Graphics Forum.

In November 2023, I gave a talk on our paper Closed-Form Diffusion Models to the Durand Group (MIT EECS).

In December 2022, I gave talks on our paper Riemannian Metric Learning via Optimal Transport to the Rigollet Group (MIT Department of Mathematics) and the Krishnaswamy Lab (Yale Departments of Genetics and Computer Science).

In September 2022, I gave a talk on our paper Riemannian Metric Learning via Optimal Transport at the YES Workshop: Optimal Transport, Statistics, Machine Learning and moving in between in Eindhoven.

In November 2021, I delivered a guest lecture on geometric deep learning for MIT 6.S898, a topics course in modern deep learning. You can access the slides here.

In August 2021, I gave a survey talk titled "Optimal Transport in Practice" at Twitter's Machine Learning Seminar.