1 citations · 1 across the 3 of their papers we have counts for
3 papers
cs.LG2022★ 1 cited
Scalable Distributional Robustness in a Class of Non Convex Optimization with Guarantees
Avinandan Bose, Arunesh Sinha, Tien Mai
Distributionally robust optimization (DRO) has shown lot of promise in providing robustness in learning as well as sample based optimization problems. We endeavor to provide DRO so…
cs.LG2022
Multiscale Generative Models: Improving Performance of a Generative Model Using Feedback from Other Dependent Generative Models
Changyu Chen, Avinandan Bose, Shih-Fen Cheng +1
Realistic fine-grained multi-agent simulation of real-world complex systems is crucial for many downstream tasks such as reinforcement learning. Recent work has used generative mod…
cs.CV2021
NeurInt : Learning to Interpolate through Neural ODEs
Avinandan Bose, Aniket Das, Yatin Dandi +1
A wide range of applications require learning image generation models whose latent space effectively captures the high-level factors of variation present in the data distribution.…