Publications

Marion Ullmo. Emulation and prediction of cosmic web simulations through deep learning. Cosmology and Extra-Galactic Astrophysics [astro-ph.CO]. Université Paris-Saclay, 2022. English. ⟨NNT : 2022UPASP012⟩. ⟨tel-03663099⟩

Dominique Laurent, Nicolas Spyratos. Consistent Query Answering without Repairs in Tables with Nulls and Functional Dependencies. CY Cergy Paris Université – Laboratoire ETIS. 2023. ⟨hal-03931310⟩

Loris Felardos, Jérôme Hénin, Guillaume Charpiat. Designing losses for data-free training of normalizing flows on Boltzmann distributions. 2023. ⟨hal-03936982⟩

Wenzhuo Liu, Mouadh Yagoubi, David Danan, Marc Schoenauer. Multi-Fidelity Transfer Learning for accurate data-based PDE approximation. Machine Learning and the Physical Sciences workshop, NeurIPS 2022, Nov 2022, New Orleans, United States. ⟨hal-03878200v2⟩

Sarah Hartley, Guillaume Bao, Marine Zagdoun, Sylvain Chevallier, Frédéric Lofaso, et al.. Noninvasive Vagus Nerve Stimulation: A New Therapeutic Approach for Pharmacoresistant Restless Legs Syndrome. Neuromodulation, 2022, ⟨10.1016/j.neurom.2022.10.046⟩. ⟨hal-03921967⟩

Mathurin Videau, Alessandro Leite, Olivier Teytaud, Marc Schoenauer. Multi-Objective Genetic Programming for Explainable Reinforcement Learning. Proc. EuroGP 2022, Apr 2022, Madrid, France. pp.278-293, ⟨10.1007/978-3-031-02056-8_18⟩. ⟨hal-03886307⟩

Shuyu Dong, Kento Uemura, Akito Fujii, Shuang Chang, Yusuke Koyanagi, et al.. High-Dimensional Causal Discovery: Learning from Inverse Covariance via Independence-based Decomposition. 2022. ⟨hal-03885791⟩

Cyril Furtlehner. Free Dynamics of Feature Learning Processes. 2022. ⟨hal-03878500⟩

Wenzhuo Liu, Mouadh Yagoubi, David Danan, Marc Schoenauer. Multi-Fidelity Transfer Learning for accurate database PDE approximation. NeurIPS 2022 – workshop Machine Learning and the Physical Sciences., Dec 2022, New Orleans, United States. ⟨hal-03867135v2⟩

Jérémy Guez, Guillaume Achaz, François Bienvenu, Jean Cury, Bruno Toupance, et al.. Cultural transmission of reproductive success impacts genomic diversity, coalescent tree topologies and demographic inferences. 2022. ⟨hal-03875721⟩

Onofrio Semeraro, Remy Hosseinkhan Boucher, Amine Saibi, Michele Alessandro Bucci, Lionel Mathelin. Optimal control for shear flows using Reinforcement Learning. IUTAM Symposium on Data-driven modeling and optimization in fluid mechanics, Jun 2022, Aarhus, Denmark. ⟨hal-03854596⟩

Rémy Hosseinkhan Boucher, Amine Saibi, Michele Alessandro Bucci, Onofrio Semeraro, Lionel Mathelin. Exploration strategies for control of chaotic dynamical systems using reinforcement learning. European Drag Reduction and Flow Control Meeting – EDRFCM 2022, Sep 2022, Paris, France. ⟨hal-03854602⟩

Adrien Pavao, Zhengying Liu, Isabelle Guyon. Filtering participants improves generalization in competitions and benchmarks. ESANN 2022 – European Symposium on Artificial Neural Networks, Oct 2022, Bruges, Belgium. ⟨hal-03869648⟩

Francesco Saverio Pezzicoli, Guillaume Charpiat, François P. Landes. SE(3)-equivariant Graph Neural Networks for Learning Glassy Liquids Representations. 2022. ⟨hal-03868206⟩

Matthieu Dorier, Romain Egele, Prasanna Balaprakash, Jaehoon Koo, Sandeep Madireddy, et al.. HPC Storage Service Autotuning Using Variational- Autoencoder -Guided Asynchronous Bayesian Optimization. CLUSTER 2022 – IEEE International Conference on Cluster Computing (CLUSTER), Sep 2022, Heidelberg, Germany. pp.381-393, ⟨10.1109/CLUSTER51413.2022.00049⟩. ⟨hal-03864478⟩

Paola Tubaro. Social networks and resilience in emerging labor markets. E. Lazega, T.A.B. Snijders, R. Wittek. A Research Agenda for Social Networks and Social Resilience, Edward Elgar, pp.45-57, 2022, 978 1 80392 577 6. ⟨hal-03850444⟩

Romain Egele, Joceran Gouneau, Venkatram Vishwanath, Isabelle Guyon, Prasanna Balaprakash. Asynchronous Distributed Bayesian Optimization at HPC Scale. 2022. ⟨hal-03864504⟩

Matthieu Nastorg, Marc Schoenauer, Guillaume Charpiat, Thibault Faney, Jean-Marc Gratien, et al.. DS-GPS : A Deep Statistical Graph Poisson Solver. NeurIPS 2022 – Machine Learning and the Physical Sciences, workshop, Dec 2022, New-Orleans, United States. ⟨hal-03864015⟩

Adriano Barra, Giovanni Catania, Aurélien Decelle, Beatriz Seoane. Thermodynamics of bidirectional associative memories. 2022. ⟨hal-03859276⟩

Wenzhuo Liu, Mouadh Yagoubi, Marc Schoenauer. Multi-resolution Graph Neural Networks for PDE Approximation. ICANN 2021 – 30th International Conference on Artificial Neural Networks, Sep 2021, Bratislava, Slovakia. pp.151-163, ⟨10.1007/978-3-030-86365-4_13⟩. ⟨hal-03448278⟩

Guillaume Bied, Solal Nathan, Elia Pérennes, Victor Alfonso Naya, Philippe Caillou, et al.. Recommender system in a non-stationary context: recommending job ads in pandemic times. FEAST workshop ECML-PKDD 2022, Sep 2022, Grenoble, France. ⟨hal-03831247⟩

Diviyan Kalainathan, Olivier Goudet, Isabelle Guyon, David Lopez-Paz, Michèle Sebag. Structural Agnostic Modeling: Adversarial Learning of Causal Graphs. Journal of Machine Learning Research, 2022. ⟨hal-03831338⟩

Léonard Blier. Sur certaines méthodes raisonnées pour l'apprentissage par renforcement profond. Apprentissage [cs.LG]. Université Paris-Saclay, 2022. Français. ⟨NNT : 2022UPASG040⟩. ⟨tel-03829500⟩

Shuyu Dong, Michèle Sebag. From graphs to DAGs: a low-complexity model and a scalable algorithm. ECML-PKDD 2022 – European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, Sep 2022, Grenoble, France. ⟨hal-03798964⟩

Nicolas Béreux, Aurélien Decelle, Cyril Furtlehner, Beatriz Seoane. Learning a Restricted Boltzmann Machine using biased Monte Carlo sampling. SciPost Physics, In press. ⟨hal-03795598⟩

Aurélien Decelle. Fundamental problems in Statistical Physics XV: Lecture on Machine Learning. Physica A: Statistical Mechanics and its Applications, 2022, pp.128154. ⟨10.1016/j.physa.2022.128154⟩. ⟨hal-03795587⟩

Erik Aurell, Jean Barbier, Aurélien Decelle, Roberto Mulet. The mighty force: statistical inference and high-dimensional statistics. Spin Glass Theory & Far Beyond – Replica Symmetry Breaking after 40 Years, World Scientific, In press, ⟨10.48550/arXiv.2205.00750⟩. ⟨hal-03795572⟩

Georgios Zervakis, Emmanuel Vincent, Miguel Couceiro, Marc Schoenauer, Esteban Marquer. An analogy based approach for solving target sense verification. NLPIR 2022 – 6th International Conference on Natural Language Processing and Information Retrieval, Dec 2022, Bangkok, Thailand. ⟨hal-03792071⟩

Isabelle Hoxha, Clark Bäker, Sylvain Chevallier, Stefan Glasauer, Michel-Ange Amorim. Generating stimulus anticipation from stimulus and prediction history. BC 2022 – Bernstein Conference, Sep 2022, Berlin, Germany. ⟨10.12751/nncn.bc2022.049⟩. ⟨hal-03786876⟩

Paola Tubaro. Learners in the loop: hidden human skills in machine intelligence. Sociologia del Lavoro, 2022, 163, pp.110-129. ⟨10.3280/SL2022-163006⟩. ⟨hal-03787017⟩

Herilalaina Rakotoarison. Some contributions to AutoML : hyper-parameter optimization and meta-learning. Artificial Intelligence [cs.AI]. Université Paris-Saclay, 2022. English. ⟨NNT : 2022UPASG044⟩. ⟨tel-03783610⟩

Manh Hung Nguyen, Lisheng Sun-Hosoya, Nathan Grinsztajn, Isabelle Guyon. Meta-learning from Learning Curves: Challenge Design and Baseline Results. IJCNN 2022 – International Joint Conference on Neural Networks, Jul 2022, Padua, Italy. pp.1-8. ⟨hal-03740118⟩

Dustin Carrión-Ojeda, Hong Chen, Adrian El Baz, Sergio Escalera, Chaoyu Guan, et al.. NeurIPS'22 Cross-Domain MetaDL competition: Design and baseline results. Meta-Knowledge Transfer/Communication in Different Systems, Sep 2022, Grenoble, France. ⟨hal-03765151⟩

Tamon Nakano, Michele Alessandro Bucci, Jean-Marc Gratien, Thibault Faney, Guillaume Charpiat. Machine learning model for gas-liquid interface reconstruction in CFD numerical simulations. 2022. ⟨hal-03721729⟩

Manh Hung Nguyen, Lisheng Sun, Nathan Grinsztajn, Isabelle Guyon. Meta-learning from Learning Curves Challenge: Lessons learned from the First Round and Design of the Second Round. 2022. ⟨hal-03725313⟩

Gaëtan Serré, Eva Boguslawski, Benjamin Donnot, Adrien Pavão, Isabelle Guyon, et al.. Reinforcement learning for Energies of the future and carbon neutrality: a Challenge Design. SSCI 2022 – IEEE Symposium Series on Computational Intelligence, IEEE, Dec 2022, Singapour, Singapore. ⟨hal-03726294v2⟩

Giancarlo Fissore. Generative modeling : statistical physics of Restricted Boltzmann Machines, learning with missing information and scalable training of Linear Flows. Disordered Systems and Neural Networks [cond-mat.dis-nn]. Université Paris-Saclay, 2022. English. ⟨NNT : 2022UPASG028⟩. ⟨tel-03710286⟩

Zhen Xu, Sergio Escalera, Adrien Pavao, Magali Richard, Wei-Wei Tu, et al.. Codabench: Flexible, Easy-to-Use and Reproducible Meta-Benchmark Platform. Patterns, 2022. ⟨hal-03374222v4⟩

Théophile Sanchez. Reconstructing our past ˸ deep learning for population genetics. Neural and Evolutionary Computing [cs.NE]. Université Paris-Saclay, 2022. English. ⟨NNT : 2022UPASG032⟩. ⟨tel-03701132⟩

Adrian El Baz, Ihsan Ullah, Edesio Alcobaça, André C. P. L. F. Carvalho, Hong Chen, et al.. Lessons learned from the NeurIPS 2021 MetaDL challenge: Backbone fine-tuning without episodic meta-learning dominates for few-shot learning image classification. NeurIPS 2021 Competition and Demonstration Track, Dec 2021, On-line, United States. ⟨hal-03688638⟩

Adrian Alan Pol, Gianluca Cerminara, Cécile Germain, Maurizio Pierini, Agrima Seth. Detector Monitoring with Artificial Neural Networks at the CMS Experiment at the CERN Large Hadron Collider. Computing and Software for Big Science, Springer, 2019, 3 (1), ⟨10.1007/s41781-018-0020-1⟩. ⟨hal-02427998⟩

Paola Tubaro. Whose intelligence is artificial intelligence?. Global Dialogue, International Sociological Association, 2020, pp.38-39. ⟨hal-03029735⟩

Paola Tubaro. Les « petites mains » derrière le mirage de l’automation. La vie de la recherche scientifique, Sncs Fsu, 2020, pp.76-77. ⟨hal-03029739⟩

Luigi Gresele, Giancarlo Fissore, Adrián Javaloy, Bernhard Schölkopf, Aapo Hyvärinen. Relative gradient optimization of the Jacobian term in unsupervised deep learning. NeurIPS 2020 – 34h Conference on Neural Information Processing Systems, Dec 2020, Vancouver / Virtuel, Canada. ⟨hal-02978662⟩

Georgios Zervakis, Emmanuel Vincent, Miguel Couceiro, Marc Schoenauer. On Refining BERT Contextualized Embeddings using Semantic Lexicons. ECML PKDD 2021 – Machine Learning with Symbolic Methods and Knowledge Graphs co-located with European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, Sep 2021, Online, Spain. ⟨hal-03318571⟩

François Gonard, Marc Schoenauer, Michèle Sebag. Algorithm Selector and Prescheduler in the ICON challenge. El-Ghazali Talbi; Amir Nakib. Bioinspired heuristic optimization , Springer Verlag, In press, Computational Intelligence. ⟨hal-01663174⟩

yann Ollivier, Ludovic Arnold, Anne Auger, Nikolaus Hansen. Information-Geometric Optimization Algorithms: A Unifying Picture via Invariance Principles. Journal of Machine Learning Research, Microtome Publishing, 2017, 18 (18), pp.1-65. ⟨hal-01515898⟩

Nihar Shah, Behzad Tabibian, Krikamol Muandet, Isabelle Guyon, Ulrike von Luxburg. Design and Analysis of the NIPS 2016 Review Process. Journal of Machine Learning Research, Microtome Publishing, 2018, 19, pp.1 – 34. ⟨hal-01991580⟩

Corentin Tallec, yann Ollivier. Unbiased online recurrent optimization. International Conference On Learning Representation, Apr 2018, Vancouver, Canada. ⟨hal-01972587⟩

Antonio A. Casilli, Paola Tubaro, Clément Le Ludec, Marion Coville, Maxime Besenval, et al.. Le Micro-Travail en France. Derrière l'automatisation, de nouvelles précarités au travail ?. [Rapport de recherche] Projet de recherche DiPLab. 2019. ⟨hal-02139528⟩

Nayat Sanchez-Pi, Luis Marti, André Abreu, Olivier Bernard, Colomban de Vargas, et al.. Artificial Intelligence, Machine Learning and Modeling for Understanding the Oceans and Climate Change. NeurIPS 2020 Workshop – Tackling Climate Change with Machine Learning, Dec 2020, Santiago / Virtual, Chile. ⟨hal-03138712⟩

Aurélien Decelle, Tony Bonnaire, Nabila Aghanim. Cascade of phase transitions for multiscale clustering. Physical Review E , American Physical Society (APS), 2021, 103 (1), ⟨10.1103/PhysRevE.103.012105⟩. ⟨hal-03477663⟩

Nayat Sanchez-Pi, Luis Marti, Julien Salomon, Jacques Sainte-Marie, Olivier Bernard, et al.. OcéanIA: AI, Data, and Models for Understanding the Ocean and Climate Change. pp.1-64, 2021. ⟨hal-03274323v2⟩

Philippe Caillou, Sébastien Rey-Coyrehourcq, Nicolas Marilleau, Arnaud Banos. Exploring Complex Models in NetLogo. Arnaud Banos; Christophe Lang; Nicolas Marilleau. Agent-based Spatial Simulation with NetLogo, Volume 2 Advanced Concepts, 2, 2016, 9781785481574. ⟨10.1016/B978-1-78548-157-4.50006-6⟩. ⟨hal-01680536⟩

yoann Isaac, Quentin Barthélemy, Cedric Gouy-Pailler, Michèle Sebag, Jamal Atif. Multi-dimensional signal approximation with sparse structured priors using split Bregman iterations. Signal Processing, Elsevier, 2017, 130, pp.389-402. ⟨10.1016/j.sigpro.2016.07.013⟩. ⟨hal-01448305⟩

Antonio A. Casilli, Paola Tubaro. Réprimer les sites «pro-anorexie» : une fausse bonne idée . Libération, SARL Libération, 2017, pp.1-2. ⟨hal-01577074⟩

Imène Brigui-Chtioui, Philippe Caillou, Elsa Negre. Intelligent Digital Learning: Agent-Based Recommender System. ICMLC 2017 – 9th International Conference on Machine Learning and Computing, Feb 2017, Singapore, Singapore. ⟨10.1145/3055635.3056592⟩. ⟨hal-01680527⟩

Flora Jay, Simon S. Boitard, Frederic Austerlitz. Reconstructing past history from whole-genomes: an ABC approach handling recombining data.. European Mathematical Genetics Meeting, Apr 2017, Tartu, Estonia. ⟨hal-01679379⟩

Hugo Jair Escalante, Isabelle Guyon, Sergio Escalera, Julio Jacques, Meysam Madadi, et al.. Design of an Explainable Machine Learning Challenge for Video Interviews. IJCNN 2017 – 30th International Joint Conference on Neural Networks, May 2017, Anchorage, AK, United States. pp.1-8, ⟨10.1109/IJCNN.2017.7966320⟩. ⟨hal-01668386⟩

Maryam Asadi-Aghbolaghi, Albert Clapes, Marco Bellantonio, Hugo Jair Escalante, Víctor Ponce-López, et al.. A Survey on Deep Learning Based Approaches for Action and Gesture Recognition in Image Sequences. FG 2017 – 12th IEEE Conference on Automatic Face and Gesture Recognition, May 2017, Washington, DC, United States. pp.476-483, ⟨10.1109/FG.2017.150⟩. ⟨hal-01668383⟩

Eirikur Agustsson, Radu Timofte, Sergio Escalera, Xavier Baró, Isabelle Guyon, et al.. Apparent and real age estimation in still images with deep residual regressors on APPA-REAL database. FG 2017 – 12th IEEE International Conference on Automatic Face and Gesture Recognition, May 2017, Washington DC, United States. pp.1-12. ⟨hal-01677892⟩

Olivier Bousquet, Sylvain Gelly, Karol Kurach, Marc Schoenauer, Michèle Sebag, et al.. Toward Optimal Run Racing: Application to Deep Learning Calibration. 2017. ⟨hal-01634381⟩

Carlos Fernando Crispim-Junior, Alvaro Gómez Uría, Carola Strumia, Michal Koperski, Alexandra Konig, et al.. Online recognition of daily activities by color-depth sensing and knowledge models. Sensors, MDPI, 2017, 17 (7), pp.1-15. ⟨10.3390/s17071528⟩. ⟨hal-01658438⟩

Diviyan Kalainathan, Olivier Goudet, Philippe Caillou, Michèle Sebag, Paola Tubaro. Conditions objectives de travail et ressenti des individus : le rôle du management. 2017, pp.12. ⟨hal-01742592⟩

Paola Tubaro. Social Networks: face-to-face and online ties at OuiShare Fest. 2017. ⟨hal-01666817⟩

Nacim Belkhir, Johann Dreo, Pierre Savéant, Marc Schoenauer. Per instance algorithm configuration of CMA-ES with limited budget. GECCO 2017 – Proceedings of the Genetic and Evolutionary Computation Conference , Jul 2017, Berlin, Germany. pp. 681-688. ⟨hal-01613753⟩

Luis Martí, Arsene Fansi-Tchango, Laurent Navarro, Marc Schoenauer. Progressively Adding Objectives: A Case Study in Anomaly Detection. Genetic and Evolutionary Computation Conference (GECCO 2017), Jul 2017, Berlin, Germany. ⟨10.1145/3071178.3071333⟩. ⟨hal-01525611⟩

Cécile Germain. Summary of the Weizmann workshop: Hammers & Nails – Machine Learning & HEP. 2017 – Hammers & Nails – Machine Learning & HEP, Jul 2017, Rehovot, Israel. pp.1-48, 2017. ⟨hal-01665940⟩

Maryam Asadi-Aghbolaghi, Albert Clapes, Marco Bellantonio, Hugo Escalante, Víctor Ponce-López, et al.. Deep learning for action and gesture recognition in image sequences: a survey . Gesture Recognition, Springer Verlag, pp.539-578, 2017. ⟨hal-01678006⟩

Emmanuel Maggiori, yuliya Tarabalka, Guillaume Charpiat, Pierre Alliez. Can Semantic Labeling Methods Generalize to Any City? The Inria Aerial Image Labeling Benchmark. IEEE International Symposium on Geoscience and Remote Sensing (IGARSS), Jul 2017, Fort Worth, United States. ⟨hal-01468452⟩

Frederic Austerlitz, Carla Aimé, Flora Jay. Inference of past historical events using ABC and MCMC methods on population genomics data sets. Applications to human populations. ESEB 2017 – Congress of the European Society for Evolutionary Biology, Aug 2017, Groningen, Netherlands. ⟨hal-01789205⟩

Benjamin Donnot, Isabelle Guyon, Marc Schoenauer, Patrick Panciatici, Antoine Marot. Introducing machine learning for power system operation support. IREP Symposium, Aug 2017, Espinho, Portugal. ⟨hal-01581719v2⟩

Emmanuel Maggiori, Guillaume Charpiat, Yuliya Tarabalka, Pierre Alliez. Recurrent Neural Networks to Correct Satellite Image Classification Maps. IEEE Transactions on Geoscience and Remote Sensing, Institute of Electrical and Electronics Engineers, 2017, 55 (9), pp.4962-4971. ⟨10.1109/TGRS.2017.2697453⟩. ⟨hal-01660764⟩

François Gonard, Marc Schoenauer, Michèle Sebag. ASAP.V2 and ASAP.V3: Sequential optimization of an Algorithm Selector and a Scheduler. Open Algorithm Selection Challenge 2017 , Sep 2017, Brussels, Belgium. pp.8-11. ⟨hal-01659700⟩

Yağmur Güçlütürk, Umut Güçlü, Xavier Baró, Hugo Jair Escalante, Isabelle Guyon, et al.. Multimodal First Impression Analysis with Deep Residual Networks. IEEE Transactions on Affective Computing, Institute of Electrical and Electronics Engineers, 2017, PP (99), pp.1-14. ⟨10.1109/TAFFC.2017.2751469⟩. ⟨hal-01668375⟩

Diviyan Kalainathan, Olivier Goudet, Philippe Caillou, Michèle Sebag, Paola Tubaro, et al.. Portraits de travailleurs: Comprendre la qualité de vie au travail. Presses des Mines; Note n. 19 de La Fabrique de l'Industrie, 2017, 978-2-35671-486-2. ⟨hal-01665423⟩

Victor Estrade, Cécile Germain, Isabelle Guyon, David Rousseau. Robust deep learning: A case study. JDSE 2017 – 2nd Junior Conference on Data Science and Engineering, Sep 2017, Orsay, France. pp.1-5, 2017. ⟨hal-01665938⟩

Théophile Sanchez, Guillaume Charpiat, Flora Jay. SPI-DNA: End-to-end Deep Learning Approach for Demographic History Inference. Paris-Saclay Junior Conference on Data Science and Engineering, Sep 2017, Orsay, France. ⟨hal-01679385⟩

Emmanuel Maggiori, yuliya Tarabalka, Guillaume Charpiat, Pierre Alliez. Polygonization of Remote Sensing Classification Maps by Mesh Approximation. ICIP 2017 – IEEE International Conference on Image Processing, Sep 2017, Beijing, China. pp.5. ⟨hal-01530460⟩

Vincent Berthier. Studies on stochastic optimisation and applications to the real world. Numerical Analysis [cs.NA]. Université Paris 11, 2017. English. ⟨tel-01668371⟩

Yağmur Güçlütürk, Umut Güçlü, Marc Perez, Hugo Jair Escalante Balderas, Xavier Baró, et al.. Visualizing Apparent Personality Analysis with Deep Residual Networks. International Conference on Computer Vision – ICCV 2017, Oct 2017, Venice, Italy. ⟨hal-01677962⟩

Jun Wan, Sergio Escalera, Gholamreza Anbarjafari, Hugo Escalante, Xavier Baró, et al.. Results and Analysis of ChaLearn LAP Multi-modal Isolated and Continuous Gesture Recognition, and Real versus Fake Expressed Emotions Challenges. International Conference on Computer Vision – ICCV 2017, Oct 2017, Venice, Italy. ⟨hal-01677974⟩

Edgar Galván-López, Lucia Vázquez-Mendoza, Marc Schoenauer, Leonardo Trujillo. On the Use of Dynamic GP Fitness Cases in Static and Dynamic Optimisation Problems. EA 2017- International Conference on Artificial Evolution, Evelyne Lutton, Oct 2017, Paris, France. pp.1-14. ⟨hal-01648365⟩

Thomas Schmitt, François Gonard, Philippe Caillou, Michèle Sebag. Language Modelling for Collaborative Filtering: Application to Job Applicant Matching. ICTAI 2017 – 29th IEEE International Conference on Tools with Artificial Intelligence, Nov 2017, Boston, United States. pp.1-8. ⟨hal-01659543⟩

Yann Ollivier, Gaétan Marceau-Caron. Natural Langevin Dynamics for Neural Networks. GSI 2017 – 3rd conference on Geometric Science of Information, Nov 2017, Paris, France. pp.451-459, ⟨10.1007/978-3-319-68445-1_53⟩. ⟨hal-01655949⟩

Paola Tubaro. Les tensions entre sociologie et politique à l’aune d’une tentative de législation des sites web sur les troubles alimentaires . SociologieS, Toulouse : Association internationale des sociologues de langue française, 2017, pp.1-13. ⟨hal-01648305⟩

Théophile Sanchez, Guillaume Charpiat, Flora Jay. End-to-End Deep Learning Approach for Demographic History Inference. Human Evolution: Fossils, Ancient and Modern Genomes 2017, Nov 2017, Hinxton, Cambridge, United Kingdom. ⟨hal-01823543⟩

Antoine Marot, Sami Tazi, Benjamin Donnot, Patrick Panciatici. Large-scale power grid hierarchical segmentation based on power-flow affinities. 2017. ⟨hal-01633508v2⟩

A Decelle, G Fissore, Cyril Furtlehner. Spectral Dynamics of Learning Restricted Boltzmann Machines. EPL – Europhysics Letters, European Physical Society/EDP Sciences/Società Italiana di Fisica/IOP Publishing, 2017, 119, pp.60001. ⟨10.1209/0295-5075/119/60001⟩. ⟨hal-01652314⟩

Benjamin Donnot, Isabelle Guyon, Marc Schoenauer, Antoine Marot, Patrick Panciatici. Fast Power system security analysis with Guided Dropout, supplemental material. 2017. ⟨hal-01649938⟩

Emmanuel Maggiori, Yuliya Tarabalka, Guillaume Charpiat, Pierre Alliez. High-Resolution Semantic Labeling with Convolutional Neural Networks. IEEE Transactions on Geoscience and Remote Sensing, Institute of Electrical and Electronics Engineers, 2017. ⟨hal-01393279⟩

Alice Schoenauer Sebag, Marc Schoenauer, Michèle Sebag. Stochastic Gradient Descent: Going As Fast As Possible But Not Faster. OPTML 2017 : 10th NIPS Workshop on Optimization for Machine Learning, Alekh Agarwal (MSR, US), Ben Recht (UC Berkeley, US), Sashank J. Reddi (Google, US), Suvrit Sra (MIT, US), Dec 2017, Los Angeles, United States. pp.1-8. ⟨hal-01700460⟩

Victor Estrade, Cécile Germain, Isabelle Guyon, David Rousseau. Adversarial learning to eliminate systematic errors: a case study in High Energy Physics. NIPS 2017 – workshop Deep Learning for Physical Sciences, Dec 2017, Long Beach, United States. pp.1-5. ⟨hal-01665925⟩

Antonio A. Casilli, Paola Tubaro. Rethinking ethics in social-network research. 2017. ⟨hal-01666784⟩

Yann Ollivier, Corentin Tallec. Unbiasing Truncated Backpropagation Through Time. 2017. ⟨hal-01660627⟩

David Rousseau, Sabrina Amrouche, Paolo Calafiura, Victor Estrade, Steven Farrell, et al.. The TrackML Particle Tracking Challenge. 2018. ⟨hal-01680537v2⟩

Zhen Xu, Lanning Wei, Huan Zhao, Rex Ying, Quanming Yao, et al.. BRIDGING THE GAP OF AUTOGRAPH BETWEEN ACADEMIA AND INDUSTRY: ANALYSING AUTOGRAPH CHALLENGE AT KDD CUP 2020. 2022. ⟨hal-03629994⟩

Paola Tubaro, Antonio A Casilli. Human Listeners and Virtual Assistants: Privacy and Labor Arbitrage in the Production of Smart Technologies. Mark Graham, Fabian Ferrari. Digital Work in the Planetary Market, The MIT Press, 2022, 9780262369824. ⟨10.7551/mitpress/13835.003.0014⟩. ⟨hal-03688430⟩

yann Ollivier. Online Natural Gradient as a Kalman Filter. 2017. ⟨hal-01660622⟩