July 2023: Paper 'Mixupe: Understanding and improving mixup from directional derivative perspective' accepted as Oral at UAI 2023.
Published 'Exploring Exchangeable Dataset Amortization for Bayesian Posterior Inference' at ICML SPIGM Workshop 2023.
Published 'Leveraging Synthetic Targets for Machine Translation' in ACL Findings 2023.
Preprint 'From Points to Functions: Infinite-dimensional Representations in Diffusion Models' (2023).
Published 'Diffusion-Based Representation Learning' at ICML 2023.
Research Experience
Research intern at Morgan Stanley since June 2023, working with Anderson Schneider.
Visiting Researcher at York University in January 2023, collaborating with Marcus Brubaker and Priyank Jaini.
Research intern at NVIDIA AI (NLP team) from May 2022, advised by Oleksii Kuchaiev.
During PhD, collaborated with Stefan Bauer (Helmholtz), Marcus Brubaker (York University), Priyank Jaini (Google DeepMind), Oleksii Kuchaiev (NVIDIA), and Anderson Schneider (Morgan Stanley).
Briefly worked at Uber's Advanced Technologies Group in Toronto before joining Mila.