Pierre Marion

According to our database1, Pierre Marion authored at least 10 papers between 2020 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Links

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Bibliography

2024
Deep linear networks for regression are implicitly regularized towards flat minima.
CoRR, 2024

Implicit Diffusion: Efficient Optimization through Stochastic Sampling.
CoRR, 2024

2023
Implicit regularization of deep residual networks towards neural ODEs.
CoRR, 2023

Leveraging the two-timescale regime to demonstrate convergence of neural networks.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Generalization bounds for neural ordinary differential equations and deep residual networks.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022
Scaling ResNets in the Large-depth Regime.
CoRR, 2022

2021
Framing RNN as a kernel method: A neural ODE approach.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Structured Context and High-Coverage Grammar for Conversational Question Answering over Knowledge Graphs.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

2020
An algorithm to compute the t-value of a digital net and of its projections.
J. Comput. Appl. Math., 2020

A Tool for Custom Construction of QMC and RQMC Point Sets.
Proceedings of the Monte Carlo and Quasi-Monte Carlo Methods, 2020


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