24 citations · 52 across the 16 of their papers we have counts for
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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.…
cs.LG2021
Understanding Layer-wise Contributions in Deep Neural Networks through Spectral Analysis
Yatin Dandi, Arthur Jacot
Spectral analysis is a powerful tool, decomposing any function into simpler parts. In machine learning, Mercer's theorem generalizes this idea, providing for any kernel and input d…
cs.LG2021
Implicit Gradient Alignment in Distributed and Federated Learning
Yatin Dandi, Luis Barba, Martin Jaggi
A major obstacle to achieving global convergence in distributed and federated learning is the misalignment of gradients across clients, or mini-batches due to heterogeneity and sto…