Standout Papers

ConViT: improving vision transformers with soft convolutional inductive biases* 2022 2026 2023 2024399
  1. ConViT: improving vision transformers with soft convolutional inductive biases* (2022)
    Stéphane d’Ascoli, Hugo Touvron et al. Journal of Statistical Mechanics Theory and Experiment

Immediate Impact

3 from Science/Nature 68 standout
Sub-graph 1 of 21

Citing Papers

A Comprehensive Survey of Continual Learning: Theory, Method and Application
2024 Standout
Physics-informed neural network for lithium-ion battery degradation stable modeling and prognosis
2024 Standout
2 intermediate papers

Works of Stéphane d’Ascoli being referenced

Scaling description of generalization with number of parameters in deep learning
2020
Jamming transition as a paradigm to understand the loss landscape of deep neural networks
2019
and 1 more

Author Peers

Author Last Decade Papers Cites
Stéphane d’Ascoli 232 252 25 67 10 580
C.M. Bishop 155 131 11 64 8 681
Marcelo P. de Albuquerque 121 259 54 21 30 696
Michael Rudzsky 113 392 4 40 17 575
Xiaohao Cai 118 261 6 40 40 620
Junjie Zhao 167 308 12 175 19 571
Ivan Kobyzev 208 135 67 40 7 538
T. Kaneko 56 181 9 28 32 519
Laurent Valentin Jospin 148 171 23 12 5 557
D.W. Ruck 371 161 13 7 11 612
Jeff Heaton 169 79 26 12 8 517

All Works

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Rankless by CCL
2026