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2020 – today
- 2024
[c8]Luca Arnaboldi, Yatin Dandi, Florent Krzakala, Bruno Loureiro, Luca Pesce, Ludovic Stephan:
Online Learning and Information Exponents: The Importance of Batch size & Time/Complexity Tradeoffs. ICML 2024- [c7]Hugo Cui, Luca Pesce, Yatin Dandi, Florent Krzakala, Yue M. Lu, Lenka Zdeborová, Bruno Loureiro:
Asymptotics of feature learning in two-layer networks after one gradient-step. ICML 2024 - [c6]Yatin Dandi, Emanuele Troiani, Luca Arnaboldi, Luca Pesce, Lenka Zdeborová, Florent Krzakala:
The Benefits of Reusing Batches for Gradient Descent in Two-Layer Networks: Breaking the Curse of Information and Leap Exponents. ICML 2024 - [i15]Yatin Dandi, Emanuele Troiani, Luca Arnaboldi, Luca Pesce
, Lenka Zdeborová, Florent Krzakala:
The Benefits of Reusing Batches for Gradient Descent in Two-Layer Networks: Breaking the Curse of Information and Leap Exponents. CoRR abs/2402.03220 (2024) - [i14]Hugo Cui, Luca Pesce, Yatin Dandi, Florent Krzakala, Yue M. Lu, Lenka Zdeborová, Bruno Loureiro:
Asymptotics of feature learning in two-layer networks after one gradient-step. CoRR abs/2402.04980 (2024) - [i13]Luca Arnaboldi, Yatin Dandi, Florent Krzakala, Luca Pesce, Ludovic Stephan:
Repetita Iuvant: Data Repetition Allows SGD to Learn High-Dimensional Multi-Index Functions. CoRR abs/2405.15459 (2024) - [i12]Emanuele Troiani, Yatin Dandi, Leonardo Defilippis, Lenka Zdeborová, Bruno Loureiro, Florent Krzakala:
Fundamental limits of weak learnability in high-dimensional multi-index models. CoRR abs/2405.15480 (2024) - [i11]Luca Arnaboldi, Yatin Dandi, Florent Krzakala, Bruno Loureiro, Luca Pesce, Ludovic Stephan:
Online Learning and Information Exponents: On The Importance of Batch size, and Time/Complexity Tradeoffs. CoRR abs/2406.02157 (2024) - 2023
- [c5]Yatin Dandi, Ludovic Stephan, Florent Krzakala, Bruno Loureiro, Lenka Zdeborová:
Universality laws for Gaussian mixtures in generalized linear models. NeurIPS 2023 - [i10]Yatin Dandi, Florent Krzakala, Bruno Loureiro, Luca Pesce, Ludovic Stephan:
Learning Two-Layer Neural Networks, One (Giant) Step at a Time. CoRR abs/2305.18270 (2023) - [i9]Davide Ghio, Yatin Dandi, Florent Krzakala, Lenka Zdeborová:
Sampling with flows, diffusion and autoregressive neural networks: A spin-glass perspective. CoRR abs/2308.14085 (2023) - [i8]Neha S. Wadia, Yatin Dandi, Michael I. Jordan:
A Gentle Introduction to Gradient-Based Optimization and Variational Inequalities for Machine Learning. CoRR abs/2309.04877 (2023) - 2022
- [c4]Yatin Dandi, Luis Barba, Martin Jaggi:
Implicit Gradient Alignment in Distributed and Federated Learning. AAAI 2022: 6454-6462 - [i7]Yatin Dandi, Anastasia Koloskova, Martin Jaggi, Sebastian U. Stich:
Data-heterogeneity-aware Mixing for Decentralized Learning. CoRR abs/2204.06477 (2022) - 2021
- [c3]Yatin Dandi, Homanga Bharadhwaj, Abhishek Kumar, Piyush Rai:
Generalized Adversarially Learned Inference. AAAI 2021: 7185-7192 - [i6]Yatin Dandi, Luis Barba, Martin Jaggi:
Implicit Gradient Alignment in Distributed and Federated Learning. CoRR abs/2106.13897 (2021) - [i5]Yatin Dandi, Arthur Jacot:
Understanding Layer-wise Contributions in Deep Neural Networks through Spectral Analysis. CoRR abs/2111.03972 (2021) - [i4]Avinandan Bose, Aniket Das, Yatin Dandi, Piyush Rai:
NeurInt : Learning to Interpolate through Neural ODEs. CoRR abs/2111.04123 (2021) - 2020
- [c2]Arnout Devos, Yatin Dandi:
Model-Agnostic Learning to Meta-Learn. Preregister@NeurIPS 2020: 155-175 - [c1]Yatin Dandi, Aniket Das, Soumye Singhal, Vinay P. Namboodiri, Piyush Rai:
Jointly Trained Image and Video Generation using Residual Vectors. WACV 2020: 3017-3031 - [i3]Yatin Dandi, Homanga Bharadhwaj, Abhishek Kumar, Piyush Rai:
Generalized Adversarially Learned Inference. CoRR abs/2006.08089 (2020) - [i2]Arnout Devos, Yatin Dandi:
Model-Agnostic Learning to Meta-Learn. CoRR abs/2012.02684 (2020)
2010 – 2019
- 2019
- [i1]Yatin Dandi, Aniket Das, Soumye Singhal, Vinay P. Namboodiri, Piyush Rai:
Jointly Trained Image and Video Generation using Residual Vectors. CoRR abs/1912.07991 (2019)
Coauthor Index
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last updated on 2024-09-04 01:21 CEST by the dblp team
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