Segregation in the Falicov-Kimball model P Lemberger Journal of Physics A: Mathematical and General 25 (4), 715, 1992 | 94 | 1992 |
Ground states of the spinless Falicov-Kimball model. II C Gruber, J Jedrzejewski, P Lemberger Journal of statistical physics 66, 913-938, 1992 | 65 | 1992 |
Ground states of the spinless Falicov-Kimball model C Gruber, J Iwanski, J Jedrzejewski, P Lemberger Physical Review B 41 (4), 2198, 1990 | 49 | 1990 |
Big Data et machine learning: Manuel du data scientist P Lemberger, M Batty, M Morel, JL Raffaëlli Dunod, 2015 | 33 | 2015 |
Managing complexity of information systems: the value of simplicity PP Lemberger, M Morel John Wiley & Sons, 2013 | 21 | 2013 |
A primer on domain adaptation P Lemberger, I Panico arXiv preprint arXiv:2001.09994, 2020 | 20 | 2020 |
Big Data et Machine Learning-3e éd.: Les concepts et les outils de la data science P Lemberger, M Batty, M Morel, JL Raffaëlli Dunod, 2019 | 13 | 2019 |
Long-range order in a simple model of interacting fermions P Lemberger, N Macris letters in mathematical physics 28, 295-305, 1993 | 12 | 1993 |
On generalization and regularization in deep learning P Lemberger arXiv preprint arXiv:1704.01312, 2017 | 11 | 2017 |
Large-field versus small-field expansions and Sobolev inequalities P Lemberger Journal of statistical physics 79, 525-568, 1995 | 11 | 1995 |
Le traitement automatique des langues: comprendre les textes grâce à l'intelligence artificielle P Lemberger, FR Chaumartin Dunod, 2020 | 10 | 2020 |
Deep learning models for automatic summarization P Lemberger arXiv preprint arXiv:2005.11988, 2020 | 5 | 2020 |
Big Data et Machine Learning-2e éd. P Lemberger, M Batty, M Morel, JL Raffaëlli Dunod, 2016 | 5 | 2016 |
Phase diagrams of lattice systems with residual entropy. II. Low temperature expansion A Sütő, C Gruber, P Lemberger Journal of statistical physics 56, 261-290, 1989 | 5 | 1989 |
Complexity, Simplicity, and Abstraction P Lemberger, M Morel Managing Complexity of Information Systems, 17-76, 2012 | 1 | 2012 |
Explaining Text Classifiers with Counterfactual Representations P Lemberger, A Saillenfest arXiv preprint arXiv:2402.00711, 2024 | | 2024 |
Managing Complexity of Information Systems P Lemberger Wiley-Blackwell, 2023 | | 2023 |
Towards Scalable Adaptive Learning with Graph Neural Networks and Reinforcement Learning J Vassoyan, JJ Vie, P Lemberger arXiv preprint arXiv:2305.06398, 2023 | | 2023 |
Fair Evaluation of Graph Markov Neural Networks P Lemberger, A Saillenfest arXiv preprint arXiv:2304.01235, 2023 | | 2023 |
Reconciling Causality and Statistics P Lemberger, D Oblin arXiv preprint arXiv:2007.03940, 2020 | | 2020 |