| 2025 | ICLR | Zero-shot Model-based Reinforcement Learning using Large Language Models. | Abdelhakim Benechehab, Youssef Attia El Hili, Ambroise Odonnat, Oussama Zekri, Albert Thomas, Giuseppe Paolo, Maurizio Filippone, Ievgen Redko, Balzs Kgl |
| 2025 | ICML | AdaPTS: Adapting Univariate Foundation Models to Probabilistic Multivariate Time Series Forecasting. | Abdelhakim Benechehab, Vasilii Feofanov, Giuseppe Paolo, Albert Thomas, Maurizio Filippone, Balzs Kgl |
| 2024 | ICML | Position: A Call for Embodied AI. | Giuseppe Paolo, Jonas Gonzalez-Billandon, Balzs Kgl |
| 2021 | ICLR | Model-based micro-data reinforcement learning: what are the crucial model properties and which model to choose? | Balzs Kgl, Gabriel Hurtado, Albert Thomas |
| 2017 | ICLR | De novo drug design with deep generative models : an empirical study. | Mehdi Cherti, Balzs Kgl, Akin Kazaki |
| 2017 | ICLR | Out-of-class novelty generation: an experimental foundation. | Mehdi Cherti, Balzs Kgl, Akin Kazaki |
| 2017 | ICTAI | Out-of-Class Novelty Generation : An Experimental Foundation. | Mehdi Cherti, Balzs Kgl, Akin Kazaki |
| 2016 | ESANN | How machine learning won the Higgs boson challenge. | Claire Adam-Bourdarios, Glen Cowan, Ccile Germain, Isabelle Guyon, Balzs Kgl, David Rousseau |
| 2014 | COLT | Open Problem: A (missing) boosting-type convergence result for AdaBoost.MH with factorized multi-class classifiers. | Balzs Kgl |
| 2013 | ICML | Collaborative hyperparameter tuning. | Rmi Bardenet, Mtys Brendel, Balzs Kgl, Michle Sebag |
| 2013 | ICML | Gossip-based distributed stochastic bandit algorithms. | Balzs Szrnyi, Rbert Busa-Fekete, Istvn Hegeds, Rbert Ormndi, Mrk Jelasity, Balzs Kgl |
| 2012 | EuroPar | Peer-to-Peer Multi-class Boosting. | Istvn Hegeds, Rbert Busa-Fekete, Rbert Ormndi, Mrk Jelasity, Balzs Kgl |
| 2012 | ICML | Fast classification using sparse decision DAGs. | Rbert Busa-Fekete, Djalel Benbouzid, Balzs Kgl |
| 2010 | ICML | Surrogating the surrogate: accelerating Gaussian-process-based global optimization with a mixture cross-entropy algorithm. | Rmi Bardenet, Balzs Kgl |
| 2010 | ICML | Fast boosting using adversarial bandits. | Rbert Busa-Fekete, Balzs Kgl |
| 2010 | ISNN | Palmprint Classification Using Wavelets and AdaBoost. | Guangyi Chen, Wei-Ping Zhu, Balzs Kgl, Rbert Busa-Fekete |
| 2009 | ICML | Boosting products of base classifiers. | Balzs Kgl, Rbert Busa-Fekete |
| 2008 | CCGRID | Grid Differentiated Services: A Reinforcement Learning Approach. | Julien Perez, Ccile Germain-Renaud, Balzs Kgl, Charles Loomis |
| 2007 | SMC | Palmprint classification using contourlets. | Guangyi Chen, Balzs Kgl |
| 2007 | SMC | Feature extraction using Radon, wavelet and fourier transform. | Guangyi Chen, Balzs Kgl |
| 2003 | COLT | Robust Regression by Boosting the Median. | Balzs Kgl |
| 2001 | COLT | Data-Dependent Margin-Based Generalization Bounds for Classification. | Balzs Kgl, Tams Linder, Gbor Lugosi |
| 2000 | ICPR | Piecewise Linear Skeletonization Using Principal Curves. | Balzs Kgl, Adam Krzyzak |
| 2000 | ICPR | Radial Basis Function Networks and Complexity Regularization in Function Learning and Classification. | Balzs Kgl, Adam Krzyzak, Heinrich Niemann |
| 1998 | ICPR | Radial basis function networks in nonparametric classification and function learning. | Balzs Kgl, Adam Krzyzak, Heinrich Niemann |