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Yann Ollivier

Identifiers

  • name variant Yann Ollivier 0.60 · backfill

Papers (30)

  1. Separating value functions across time-scales cs.LG · 2019 · author #6
  2. Making Deep Q-learning methods robust to time discretization cs.LG · 2019 · author #3
  3. The Extended Kalman Filter is a Natural Gradient Descent in Trajectory Space math.OC · 2019 · author #1
  4. Learning with Random Learning Rates cs.LG · 2018 · author #3
  5. Mixed batches and symmetric discriminators for GAN training cs.LG · 2018 · author #4
  6. Approximate Temporal Difference Learning is a Gradient Descent for Reversible Policies cs.LG · 2018 · author #1
  7. Can recurrent neural networks warp time? cs.LG · 2018 · author #2
  8. The Description Length of Deep Learning Models cs.LG · 2018 · author #2
  9. First-order Adversarial Vulnerability of Neural Networks and Input Dimension stat.ML · 2018 · author #2
  10. True Asymptotic Natural Gradient Optimization stat.ML · 2017 · author #1
  11. Natural Langevin Dynamics for Neural Networks stat.ML · 2017 · author #2
  12. Unbiasing Truncated Backpropagation Through Time cs.NE · 2017 · author #2
  13. Online Natural Gradient as a Kalman Filter stat.ML · 2017 · author #1
  14. Unbiased Online Recurrent Optimization cs.NE · 2017 · author #2
  15. Practical Riemannian Neural Networks cs.NE · 2016 · author #2
  16. Speed learning on the fly math.OC · 2015 · author #2
  17. Training recurrent networks online without backtracking cs.NE · 2015 · author #1
  18. Laplace's rule of succession in information geometry cs.IT · 2015 · author #1
  19. Auto-encoders: reconstruction versus compression cs.NE · 2014 · author #1
  20. Riemannian metrics for neural networks II: recurrent networks and learning symbolic data sequences cs.NE · 2013 · author #1
  21. Riemannian metrics for neural networks I: feedforward networks cs.NE · 2013 · author #1
  22. Layer-wise learning of deep generative models cs.NE · 2012 · author #2
  23. A curved Brunn--Minkowski inequality on the discrete hypercube math.PR · 2010 · author #1
  24. Curvature, concentration and error estimates for Markov chain Monte Carlo math.PR · 2009 · author #2
  25. Ricci curvature of Markov chains on metric spaces math.PR · 2007 · author #1
  26. Some small cancellation properties of random groups math.GR · 2004 · author #1
  27. Kazhdan groups with infinite outer automorphism group math.GR · 2004 · author #1
  28. Growth exponent of generic groups math.GR · 2004 · author #1
  29. Cogrowth and spectral gap of generic groups math.GR · 2004 · author #1
  30. Sharp phase transition theorems for hyperbolicity of random groups math.GR · 2003 · author #1

Mentions

  • 1511.02540 #2 · backfill · confidence 0.70 Yann Ollivier
  • 1507.07680 #1 · backfill · confidence 0.70 Yann Ollivier
  • 1503.04304 #1 · backfill · confidence 0.70 Yann Ollivier
  • 1403.7752 #1 · backfill · confidence 0.70 Yann Ollivier
  • 1306.0514 #1 · backfill · confidence 0.70 Yann Ollivier
  • 1303.0818 #1 · backfill · confidence 0.70 Yann Ollivier
  • 1212.1524 #2 · backfill · confidence 0.70 Yann Ollivier
  • 1011.4779 #1 · backfill · confidence 0.70 Yann Ollivier
  • 0904.1312 #2 · backfill · confidence 0.70 Yann Ollivier

Frequent Coauthors