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sorted by
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The Monte Carlo Transformer: a stochastic self-attention model for sequence prediction2020
Preprints, Working Papers, ...
hal-02896961v2
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Monte-Carlo tree search as regularized policy optimizationInternational Conference on Machine Learning, 2020, Vienna, Austria
Conference papers
hal-02950136v1
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Bootstrap Your Own Latent: A new approach to self-supervised learningNeural Information Processing Systems, 2020, Montréal, Canada
Conference papers
hal-02869787v2
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Solving Bernoulli Rank-One Bandits with Unimodal Thompson SamplingALT 2020 - 31st International Conference on Algorithmic Learning Theory, Feb 2020, San Diego, United States. pp.1 - 28
Conference papers
hal-02396943v2
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Look for the Change: Learning Object States and State-Modifying Actions from Untrimmed Web VideosCVPR 2022 - IEEE/CVF Conference on Computer Vision and Pattern Recognition, Jun 2022, New Orleans, United States
Conference papers
hal-03996825v1
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Vid2Seq: Large-Scale Pretraining of a Visual Language Model for Dense Video CaptioningCVPR 2023 - IEEE/CVF Conference on Computer Vision and Pattern Recognition, Jun 2023, Vancouver, Canada
Conference papers
hal-04039246v1
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Faut-il minimiser le résidu de Bellman ou maximiser la valeur moyenne ?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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Annealed Flow Transport Monte CarloICML 2021 - 38th International Conference on Machine Learning, Jul 2021, Online, France. pp.1-70
Conference papers
hal-03455478v1
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Continual Repeated Annealed Flow Transport Monte CarloInternational Conference on Machine Learning 2022, 2022, Baltimore, United States
Conference papers
hal-03869105v1
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Modeling SARS‐CoV‐2 proteins in the CASP‐commons experimentProteins - Structure, Function and Bioinformatics, 2021, 89 (12), pp.1987-1996. ⟨10.1002/prot.26231⟩
Journal articles
hal-03454382v1
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Learning robust task priorities of QP-based whole-body torque-controllersHUMANOIDS 2018 - IEEE-RAS 18th International Conference on Humanoid Robots, Nov 2018, Beijing, China
Conference papers
hal-01895146v1
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Bridging the Gap Between Imitation Learning and Inverse Reinforcement LearningIEEE 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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Neighbourhood Consensus Networks32nd Conference on Neural Information Processing Systems (NIPS 2018), Dec 2018, Montréal, Canada
Conference papers
hal-01905474v1
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End-to-end optimization of goal-driven and visually grounded dialogue systems Harm de VriesInternational Joint Conference on Artificial Intelligence, Aug 2017, Melbourne, Australia
Conference papers
hal-01549642v1
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TubeDETR: Spatio-Temporal Video Grounding with TransformersCVPR 2022 - IEEE/CVF Conference on Computer Vision and Pattern Recognition, Jun 2022, New Orleans, United States
Conference papers
hal-03625586v2
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NetVLAD: CNN architecture for weakly supervised place recognitionIEEE Transactions on Pattern Analysis and Machine Intelligence, 2017, XX
Journal articles
hal-01557234v1
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Learning Actionness via Long-range Temporal Order VerificationECCV 2020 - European Conference on Computer Vision, Aug 2020, Glasgow / Virtual, United Kingdom
Conference papers
hal-03048753v1
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Efficient Neighbourhood Consensus Networks via Submanifold Sparse ConvolutionsECCV 2020 - 16th European Conference on Computer Vision, Aug 2020, Glasgow / Virtual, United Kingdom
Conference papers
hal-02950617v1
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Black-box optimization of noisy functions with unknown smoothnessNeural 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 TranslationNIPS Workshop on end-to-end learning for speech and audio processing, Dec 2016, Barcelona, Spain
Conference papers
hal-01408086v1
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Difference of Convex Functions Programming Applied to Control with Expert Data2017
Preprints, Working Papers, ...
hal-01629653v1
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Reinforcement LearningA 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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Learning Compositional Neural Programs for Continuous Control2020
Preprints, Working Papers, ...
hal-03083161v1
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Revisiting Peng's Q(λ) for for modern reinforcement learningInternational Conference on Machine Learning, Jul 2021, Vienna / Virtual, Austria
Conference papers
hal-03289292v1
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Learning Nash Equilibrium for General-Sum Markov Games from Batch DataAISTATS 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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On two ways to use determinantal point processes for Monte Carlo integration -- Long versionNeurIPS 2019 - Thirty-third Conference on Neural Information Processing Systems, Jun 2019, Vancouver, Canada
Conference papers
hal-02277739v1
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Formalising planning and information search in naturalistic decision-makingNature Neuroscience, 2021, 24 (8), pp.1051-1064. ⟨10.1038/s41593-021-00866-w⟩
Journal articles
inserm-03354461v1
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Is the Bellman residual a bad proxy?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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Self-Educated Language Agent With Hindsight Experience Replay For Instruction Following2019
Preprints, Working Papers, ...
hal-02386585v1
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On two ways to use determinantal point processes for Monte Carlo integrationNEGDEPML 2019 - ICML Workshop on Negative Dependence in ML, Jun 2019, Long Beach, CA, United States
Conference papers
hal-02160382v1
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