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Universality laws for Gaussian mixtures in generalized linear models


Feb 17, 2023
Yatin Dandi, Ludovic Stephan, Florent Krzakala, Bruno Loureiro, Lenka Zdeborová

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Data-heterogeneity-aware Mixing for Decentralized Learning


Apr 13, 2022
Yatin Dandi, Anastasia Koloskova, Martin Jaggi, Sebastian U. Stich

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NeurInt : Learning to Interpolate through Neural ODEs


Nov 07, 2021
Avinandan Bose, Aniket Das, Yatin Dandi, Piyush Rai

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* Accepted (Spotlight paper) at the NeurIPS 2021 Workshop on the Symbiosis of Deep Learning and Differential Equations (DLDE) 

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Understanding Layer-wise Contributions in Deep Neural Networks through Spectral Analysis


Nov 06, 2021
Yatin Dandi, Arthur Jacot

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Implicit Gradient Alignment in Distributed and Federated Learning


Jun 25, 2021
Yatin Dandi, Luis Barba, Martin Jaggi

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Model-Agnostic Learning to Meta-Learn


Dec 04, 2020
Arnout Devos, Yatin Dandi

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* Pre-registration workshop NeurIPS (2020) 

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Generalized Adversarially Learned Inference


Jun 15, 2020
Yatin Dandi, Homanga Bharadhwaj, Abhishek Kumar, Piyush Rai

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* Under review 

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Jointly Trained Image and Video Generation using Residual Vectors


Dec 17, 2019
Yatin Dandi, Aniket Das, Soumye Singhal, Vinay P. Namboodiri, Piyush Rai

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* Accepted in 2020 Winter Conference on Applications of Computer Vision (WACV '20) 

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