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Monte-Carlo tree search as regularized policy optimization

Jean-Bastien Grill , Florent Altché , Yunhao Tang , Thomas Hubert , Michal Valko et al.
International Conference on Machine Learning, 2020, Vienna, Austria
Conference papers hal-02950136v1
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Learning robust task priorities of QP-based whole-body torque-controllers

Marie Charbonneau , Valerio Modugno , Francesco Nori , Giuseppe Oriolo , Daniele Pucci et al.
HUMANOIDS 2018 - IEEE-RAS 18th International Conference on Humanoid Robots, Nov 2018, Beijing, China
Conference papers hal-01895146v1
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Annealed Flow Transport Monte Carlo

Michael Arbel , Alexander G D G Matthews , Arnaud Doucet
ICML 2021 - 38th International Conference on Machine Learning, Jul 2021, Online, France. pp.1-70
Conference papers hal-03455478v1
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Modeling SARS‐CoV‐2 proteins in the CASP‐commons experiment

Andriy Kryshtafovych , John Moult , Wendy M Billings , Dennis Della Corte , Krzysztof Fidelis et al.
Proteins - Structure, Function and Bioinformatics, 2021, 89 (12), pp.1987-1996. ⟨10.1002/prot.26231⟩
Journal articles hal-03454382v1
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Bootstrap Your Own Latent: A new approach to self-supervised learning

Jean-Bastien Grill , Florian Strub , Florent Altché , Corentin Tallec , Pierre H Richemond et al.
Neural Information Processing Systems, 2020, Montréal, Canada
Conference papers hal-02869787v2
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The Monte Carlo Transformer: a stochastic self-attention model for sequence prediction

Alice Martin , Charles Ollion , Florian Strub , Sylvain Le Corff , Olivier Pietquin et al.
2020
Preprints, Working Papers, ... hal-02896961v2
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Solving Bernoulli Rank-One Bandits with Unimodal Thompson Sampling

Cindy Trinh , Emilie Kaufmann , Claire Vernade , Richard Combes
ALT 2020 - 31st International Conference on Algorithmic Learning Theory, Feb 2020, San Diego, United States. pp.1 - 28
Conference papers hal-02396943v2

Faut-il minimiser le résidu de Bellman ou maximiser la valeur moyenne ?

Matthieu Geist , Bilal Piot , Olivier Pietquin
Journées Francophones sur la Planification, la Décision et l'Apprentissage pour la conduite de systèmes (JFPDA 2017), Jul 2017, Caen, France
Conference papers hal-01576347v1
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Continual Repeated Annealed Flow Transport Monte Carlo

Alexander G D G Matthews , Michael Arbel , Danilo J Rezende , Arnaud Doucet
International Conference on Machine Learning 2022, 2022, Baltimore, United States
Conference papers hal-03869105v1
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Bridging the Gap Between Imitation Learning and Inverse Reinforcement Learning

Bilal Piot , Matthieu Geist , Olivier Pietquin
IEEE Transactions on Neural Networks and Learning Systems, 2017, 28 (8), pp.1814 - 1826. ⟨10.1109/TNNLS.2016.2543000⟩
Journal articles hal-01629654v1
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NetVLAD: CNN architecture for weakly supervised place recognition

Relja Arandjelovic , Petr Gronat , Akihiko Torii , Tomas Pajdla , Josef Sivic et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2017, XX
Journal articles hal-01557234v1
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TubeDETR: Spatio-Temporal Video Grounding with Transformers

Antoine Yang , Antoine Miech , Josef Sivic , Ivan Laptev , Cordelia Schmid et al.
CVPR 2022 - IEEE/CVF Conference on Computer Vision and Pattern Recognition, Jun 2022, New Orleans, United States
Conference papers hal-03625586v2
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Learning Actionness via Long-range Temporal Order Verification

Dimitri Zhukov , Jean-Baptiste Alayrac , Ivan Laptev , Josef Sivic
ECCV 2020 - European Conference on Computer Vision, Aug 2020, Glasgow / Virtual, United Kingdom
Conference papers hal-03048753v1
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End-to-end optimization of goal-driven and visually grounded dialogue systems Harm de Vries

Florian Strub , Harm de Vries , Jeremie Mary , Bilal Piot , Aaron Courville et al.
International Joint Conference on Artificial Intelligence, Aug 2017, Melbourne, Australia
Conference papers hal-01549642v1
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Neighbourhood Consensus Networks

Ignacio Rocco , Mircea Cimpoi , Relja Arandjelovic , Akihiko Torii , Tomas Pajdla et al.
32nd Conference on Neural Information Processing Systems (NIPS 2018), Dec 2018, Montréal, Canada
Conference papers hal-01905474v1
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Efficient Neighbourhood Consensus Networks via Submanifold Sparse Convolutions

Ignacio Rocco , Relja Arandjelovic , Josef Sivic
ECCV 2020 - 16th European Conference on Computer Vision, Aug 2020, Glasgow / Virtual, United Kingdom
Conference papers hal-02950617v1
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Difference of Convex Functions Programming Applied to Control with Expert Data

Bilal Piot , Matthieu Geist , Olivier Pietquin
2017
Preprints, Working Papers, ... hal-01629653v1
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Black-box optimization of noisy functions with unknown smoothness

Jean-Bastien Grill , Michal Valko , Rémi Munos
Neural Information Processing Systems, 2015, Montréal, Canada
Conference papers hal-01222915v4
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Listen and Translate: A Proof of Concept for End-to-End Speech-to-Text Translation

Alexandre Bérard , Olivier Pietquin , Laurent Besacier , Christophe Servan
NIPS Workshop on end-to-end learning for speech and audio processing, Dec 2016, Barcelona, Spain
Conference papers hal-01408086v1

Reinforcement Learning

Olivier Buffet , Olivier Pietquin , Paul Weng
A Guided Tour of Artificial Intelligence Research - Volume 1, Springer International Publishing, pp.389-414, 2020, 978-3-030-06164-7. ⟨10.1007/978-3-030-06164-7_12⟩
Book sections hal-03323382v1
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Formalising planning and information search in naturalistic decision-making

Hunt Lt , N. Daw , P. Kaanders , M A Maclaver , U. Mugan et al.
Nature Neuroscience, 2021, 24 (8), pp.1051-1064. ⟨10.1038/s41593-021-00866-w⟩
Journal articles inserm-03354461v1
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Revisiting Peng's Q(λ) for for modern reinforcement learning

Tadashi Kozuno , Yunhao Tang , Mark Rowland , Rémi Munos , Steven Kapturowski et al.
International Conference on Machine Learning, Jul 2021, Vienna / Virtual, Austria
Conference papers hal-03289292v1

Learning Compositional Neural Programs for Continuous Control

Thomas Pierrot , Nicolas Perrin , Feryal Behbahani , Alexandre Laterre , Olivier Sigaud et al.
2020
Preprints, Working Papers, ... hal-03083161v1
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On two ways to use determinantal point processes for Monte Carlo integration -- Long version

Guillaume Gautier , Rémi Bardenet , Michal Valko
NeurIPS 2019 - Thirty-third Conference on Neural Information Processing Systems, Jun 2019, Vancouver, Canada
Conference papers hal-02277739v1
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Learning Nash Equilibrium for General-Sum Markov Games from Batch Data

Julien Pérolat , Florian Strub , Bilal Piot , Olivier Pietquin
AISTATS 2017 - The 20th International Conference on Artificial Intelligence and Statistics, Apr 2017, Fort Lauderdale, United States. pp.1-14
Conference papers hal-01648489v1
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Is the Bellman residual a bad proxy?

Matthieu Geist , Bilal Piot , Olivier Pietquin
NIPS 2017 - Advances in Neural Information Processing Systems, Dec 2017, Long Beach, United States. pp.1-13
Conference papers hal-01629739v1
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On two ways to use determinantal point processes for Monte Carlo integration

Guillaume Gautier , R. Bardenet , Michal Valko
NEGDEPML 2019 - ICML Workshop on Negative Dependence in ML, Jun 2019, Long Beach, CA, United States
Conference papers hal-02160382v1

Thinking Fast and Slow: Efficient Text-to-Visual Retrieval with Transformers

Antoine Miech , Jean-Baptiste Alayrac , Ivan Laptev , Josef Sivic , Andrew Zisserman et al.
CVPR 2021 - Conference on Computer Vision and Pattern Recognition, Jun 2021, Nashville, United States
Conference papers hal-03573831v1

Multifidelity Dimension Reduction via Active Subspaces

Rémi Lam , Olivier Zahm , Youssef Marzouk , Karen Willcox
SIAM Journal on Scientific Computing, 2020, 42 (2), pp.A929-A956. ⟨10.1137/18M1214123⟩
Journal articles hal-01875946v1
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Maximum Likelihood Learning of Energy-Based Models for Simulation-Based Inference

Pierre Glaser , Michael Arbel , Arnaud Doucet , Arthur Gretton
2022
Preprints, Working Papers, ... hal-03869080v1