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Aurelien Lucchi

Identifiers

  • name variant Aurelien Lucchi 0.60 · backfill

Papers (24)

  1. Byzantine-Robust and Differentially Private Federated Optimization under Weaker Assumptions cs.LG · 2026 · author #4
  2. Gradient Scalability and Taylor Surrogation of Quantum Cost Landscapes quant-ph · 2025 · author #4
  3. Cosmological constraints from noisy convergence maps through deep learning astro-ph.CO · 2018 · author #3
  4. A Distributed Second-Order Algorithm You Can Trust cs.LG · 2018 · author #2
  5. Exponential convergence rates for Batch Normalization: The power of length-direction decoupling in non-convex optimization stat.ML · 2018 · author #3
  6. Adversarially Robust Training through Structured Gradient Regularization stat.ML · 2018 · author #2
  7. Local Saddle Point Optimization: A Curvature Exploitation Approach cs.LG · 2018 · author #3
  8. Escaping Saddles with Stochastic Gradients cs.LG · 2018 · author #3
  9. Fast cosmic web simulations with generative adversarial networks astro-ph.CO · 2018 · author #3
  10. Flexible Prior Distributions for Deep Generative Models cs.LG · 2017 · author #2
  11. Semantic Interpolation in Implicit Models cs.LG · 2017 · author #2
  12. Learning Aerial Image Segmentation from Online Maps cs.CV · 2017 · author #3
  13. Cosmological model discrimination with Deep Learning astro-ph.CO · 2017 · author #2
  14. An Online Learning Approach to Generative Adversarial Networks cs.LG · 2017 · author #3
  15. Stabilizing Training of Generative Adversarial Networks through Regularization cs.LG · 2017 · author #2
  16. Sub-sampled Cubic Regularization for Non-convex Optimization cs.LG · 2017 · author #2
  17. Leveraging Large Amounts of Weakly Supervised Data for Multi-Language Sentiment Classification cs.CL · 2017 · author #2
  18. A Semi-supervised Framework for Image Captioning cs.CV · 2016 · author #2
  19. Radio frequency interference mitigation using deep convolutional neural networks astro-ph.IM · 2016 · author #3
  20. DynaNewton - Accelerating Newton's Method for Machine Learning cs.LG · 2016 · author #2
  21. Starting Small -- Learning with Adaptive Sample Sizes cs.LG · 2016 · author #2
  22. Probabilistic Bag-Of-Hyperlinks Model for Entity Linking cs.CL · 2015 · author #3
  23. Variance Reduced Stochastic Gradient Descent with Neighbors cs.LG · 2015 · author #2
  24. A Variance Reduced Stochastic Newton Method cs.LG · 2015 · author #1

Mentions

  • 2507.06344 #4 · arxiv_oai · confidence 0.70 Aurelien Lucchi

Frequent Coauthors