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researcher

Thomas Mésnard

3 papers here

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author2
  • middle author1

Across the 3 of 3 papers where every author was matched, so the position is known.

fields
  • cs.LG2
  • q-bio.NC1
ORCID 0000-0002-1995-4985

identity via Semantic Scholar / OpenAlex

most citedHindsight Credit Assignment

17 citations · 33 across the 3 of their papers we have counts for

collaborators

3 papers

cs.LG2019★ 17 cited

Hindsight Credit Assignment

Anna Harutyunyan, Will Dabney, Thomas Mesnard +8

We consider the problem of efficient credit assignment in reinforcement learning. In order to efficiently and meaningfully utilize new data, we propose to explicitly assign credit…

q-bio.NC2019★ 2 cited

Ghost Units Yield Biologically Plausible Backprop in Deep Neural Networks

Thomas Mesnard, Gaetan Vignoud, Joao Sacramento +2

In the past few years, deep learning has transformed artificial intelligence research and led to impressive performance in various difficult tasks. However, it is still unclear how…

cs.LG2016★ 14 cited

Towards deep learning with spiking neurons in energy based models with contrastive Hebbian plasticity

Thomas Mesnard, Wulfram Gerstner, Johanni Brea

In machine learning, error back-propagation in multi-layer neural networks (deep learning) has been impressively successful in supervised and reinforcement learning tasks. As a mod…

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