Benjamin Dupuis

According to our database1, Benjamin Dupuis authored at least 10 papers between 2021 and 2025.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2025
Mutual Information Free Topological Generalization Bounds via Stability.
CoRR, July, 2025

Algorithm- and Data-Dependent Generalization Bounds for Score-Based Generative Models.
CoRR, June, 2025

Understanding the Generalization Error of Markov algorithms through Poissonization.
CoRR, February, 2025

2024
Uniform Generalization Bounds on Data-Dependent Hypothesis Sets via PAC-Bayesian Theory on Random Sets.
CoRR, 2024

Topological Generalization Bounds for Discrete-Time Stochastic Optimization Algorithms.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Generalization Bounds for Heavy-Tailed SDEs through the Fractional Fokker-Planck Equation.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023
From Mutual Information to Expected Dynamics: New Generalization Bounds for Heavy-Tailed SGD.
CoRR, 2023

Generalization Bounds with Data-dependent Fractal Dimensions.
CoRR, 2023

Generalization Bounds using Data-Dependent Fractal Dimensions.
Proceedings of the International Conference on Machine Learning, 2023

2021
DNN-based Topology Optimisation: Spatial Invariance and Neural Tangent Kernel.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021


  Loading...