8 citations · 8 across the 2 of their papers we have counts for
5 papers
Data-heterogeneity-aware Mixing for Decentralized Learning
Yatin Dandi, Anastasia Koloskova, Martin Jaggi +1
Decentralized learning provides an effective framework to train machine learning models with data distributed over arbitrary communication graphs. However, most existing approaches…
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.…
Model-Agnostic Learning to Meta-Learn
Arnout Devos, Yatin Dandi
In this paper, we propose a learning algorithm that enables a model to quickly exploit commonalities among related tasks from an unseen task distribution, before quickly adapting t…
Generalized Adversarially Learned Inference
Yatin Dandi, Homanga Bharadhwaj, Abhishek Kumar +1
Allowing effective inference of latent vectors while training GANs can greatly increase their applicability in various downstream tasks. Recent approaches, such as ALI and BiGAN fr…
Jointly Trained Image and Video Generation using Residual Vectors
Yatin Dandi, Aniket Das, Soumye Singhal +2
In this work, we propose a modeling technique for jointly training image and video generation models by simultaneously learning to map latent variables with a fixed prior onto real…