Sarthak Mittal
Scholar

Sarthak Mittal

Google Scholar ID: FGGgTrcAAAAJ
Mila, Université de Montréal
Generative ModelsProbabilistic ModelsBayesian InferenceMachine Learning
Citations & Impact
All-time
Citations
863
 
H-index
12
 
i10-index
14
 
Publications
20
 
Co-authors
21
list available
Resume (English only)
Academic Achievements
  • 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.