| 2026 | AAAI | Loss-Guided Auxiliary Agents for Overcoming Mode Collapse in GFlowNets. | Idriss Malek, Aya Laajil, Abhijith Sharma, Eric Moulines, Salem Lahlou |
| 2025 | AISTATS | Federated UCBVI: Communication-Efficient Federated Regret Minimization with Heterogeneous Agents. | Safwan Labbi, Daniil Tiapkin, Lorenzo Mancini, Paul Mangold, Eric Moulines |
| 2025 | AISTATS | Refined Analysis of Constant Step Size Federated Averaging and Federated Richardson-Romberg Extrapolation. | Paul Mangold, Alain Oliviero Durmus, Aymeric Dieuleveut, Sergey Samsonov, Eric Moulines |
| 2025 | COLING | Atlas-Chat: Adapting Large Language Models for Low-Resource Moroccan Arabic Dialect. | Guokan Shang, Hadi Abdine, Yousef Khoubrane, Amr Mohamed, Yassine Abbahaddou, Sofiane Ennadir, Imane Momayiz, Xuguang Ren, Eric Moulines, Preslav Nakov, Michalis Vazirgiannis, Eric P. Xing |
| 2025 | ICLR | From Risk to Uncertainty: Generating Predictive Uncertainty Measures via Bayesian Estimation. | Nikita Kotelevskii, Vladimir Kondratyev, Martin Takc, Eric Moulines, Maxim Panov |
| 2025 | ICLR | Variational Diffusion Posterior Sampling with Midpoint Guidance. | Badr Moufad, Yazid Janati, Lisa Bedin, Alain Oliviero Durmus, Randal Douc, Eric Moulines, Jimmy Olsson |
| 2025 | ICLR | Probabilistic Conformal Prediction with Approximate Conditional Validity. | Vincent Plassier, Alexander Fishkov, Mohsen Guizani, Maxim Panov, Eric Moulines |
| 2025 | ICLR | Nonasymptotic Analysis of Stochastic Gradient Descent with the Richardson-Romberg Extrapolation. | Marina Sheshukova, Denis Belomestny, Alain Oliviero Durmus, Eric Moulines, Alexey Naumov, Sergey Samsonov |
| 2025 | ICML | Prediction-Aware Learning in Multi-Agent Systems. | Aymeric Capitaine, Etienne Boursier, Eric Moulines, Michael I. Jordan, Alain Oliviero Durmus |
| 2025 | ICML | A Mixture-Based Framework for Guiding Diffusion Models. | Yazid Janati, Badr Moufad, Mehdi Abou El Qassime, Alain Oliviero Durmus, Eric Moulines, Jimmy Olsson |
| 2025 | ICML | Scaffold with Stochastic Gradients: New Analysis with Linear Speed-Up. | Paul Mangold, Alain Oliviero Durmus, Aymeric Dieuleveut, Eric Moulines |
| 2025 | ICML | Finite-Sample Convergence Bounds for Trust Region Policy Optimization in Mean Field Games. | Antonio Ocello, Daniil Tiapkin, Lorenzo Mancini, Mathieu Laurire, Eric Moulines |
| 2025 | ICML | Rectifying Conformity Scores for Better Conditional Coverage. | Vincent Plassier, Alexander Fishkov, Victor Dheur, Mohsen Guizani, Souhaib Ben Taieb, Maxim Panov, Eric Moulines |
| 2024 | AISTATS | Queuing dynamics of asynchronous Federated Learning. | Louis Leconte, Matthieu Jonckheere, Sergey Samsonov, Eric Moulines |
| 2024 | AISTATS | Efficient Conformal Prediction under Data Heterogeneity. | Vincent Plassier, Nikita Kotelevskii, Aleksandr Rubashevskii, Fedor Noskov, Maksim Velikanov, Alexander Fishkov, Samuel Horvth, Martin Takc, Eric Moulines, Maxim Panov |
| 2024 | COLT | Improved High-Probability Bounds for the Temporal Difference Learning Algorithm via Exponential Stability. | Sergey Samsonov, Daniil Tiapkin, Alexey Naumov, Eric Moulines |
| 2024 | ICASSP | FAVANO: Federated Averaging with Asynchronous Nodes. | Louis Leconte, Van Minh Nguyen, Eric Moulines |
| 2024 | ICLR | Monte Carlo guided Denoising Diffusion models for Bayesian linear inverse problems. | Gabriel Cardoso, Yazid Janati El Idrissi, Sylvain Le Corff, Eric Moulines |
| 2024 | ICLR | Demonstration-Regularized RL. | Daniil Tiapkin, Denis Belomestny, Daniele Calandriello, Eric Moulines, Alexey Naumov, Pierre Perrault, Michal Valko, Pierre Mnard |
| 2024 | ICML | Theoretical Guarantees for Variational Inference with Fixed-Variance Mixture of Gaussians. | Tom Huix, Anna Korba, Alain Oliviero Durmus, Eric Moulines |
| 2024 | ICML | Incentivized Learning in Principal-Agent Bandit Games. | Antoine Scheid, Daniil Tiapkin, Etienne Boursier, Aymeric Capitaine, Eric Moulines, Michael I. Jordan, El-Mahdi El-Mhamdi, Alain Oliviero Durmus |
| 2023 | AISTATS | ASkewSGD : An Annealed interval-constrained Optimisation method to train Quantized Neural Networks. | Louis Leconte, Sholom Schechtman, Eric Moulines |
| 2023 | AISTATS | Federated Averaging Langevin Dynamics: Toward a unified theory and new algorithms. | Vincent Plassier, Eric Moulines, Alain Durmus |
| 2023 | ICML | State and parameter learning with PARIS particle Gibbs. | Gabriel Cardoso, Yazid Janati El Idrissi, Sylvain Le Corff, Eric Moulines, Jimmy Olsson |
| 2023 | ICML | On Sampling with Approximate Transport Maps. | Louis Grenioux, Alain Oliviero Durmus, Eric Moulines, Marylou Gabri |
| 2023 | ICML | Quantile Credit Assignment. | Thomas Mesnard, Wenqi Chen, Alaa Saade, Yunhao Tang, Mark Rowland, Theophane Weber, Clare Lyle, Audrunas Gruslys, Michal Valko, Will Dabney, Georg Ostrovski, Eric Moulines, Rmi Munos |
| 2023 | ICML | Conformal Prediction for Federated Uncertainty Quantification Under Label Shift. | Vincent Plassier, Mehdi Makni, Aleksandr Rubashevskii, Eric Moulines, Maxim Panov |
| 2023 | ICML | Fast Rates for Maximum Entropy Exploration. | Daniil Tiapkin, Denis Belomestny, Daniele Calandriello, Eric Moulines, Rmi Munos, Alexey Naumov, Pierre Perrault, Yunhao Tang, Michal Valko, Pierre Mnard |
| 2022 | AISTATS | QLSD: Quantised Langevin Stochastic Dynamics for Bayesian Federated Learning. | Maxime Vono, Vincent Plassier, Alain Durmus, Aymeric Dieuleveut, Eric Moulines |
| 2022 | ALT | Minimization by Incremental Stochastic Surrogate Optimization for Large Scale Nonconvex Problems. | Belhal Karimi, Hoi-To Wai, Eric Moulines, Ping Li |
| 2022 | ICML | Diffusion bridges vector quantized variational autoencoders. | Max Cohen, Guillaume Quispe, Sylvain Le Corff, Charles Ollion, Eric Moulines |
| 2022 | ICML | From Dirichlet to Rubin: Optimistic Exploration in RL without Bonuses. | Daniil Tiapkin, Denis Belomestny, Eric Moulines, Alexey Naumov, Sergey Samsonov, Yunhao Tang, Michal Valko, Pierre Mnard |
| 2021 | AISTATS | On Riemannian Stochastic Approximation Schemes with Fixed Step-Size. | Alain Durmus, Pablo Jimnez, Eric Moulines, Salem Said |
| 2021 | COLT | On the Stability of Random Matrix Product with Markovian Noise: Application to Linear Stochastic Approximation and TD Learning. | Alain Durmus, Eric Moulines, Alexey Naumov, Sergey Samsonov, Hoi-To Wai |
| 2021 | ICASSP | Geom-Spider-EM: Faster Variance Reduced Stochastic Expectation Maximization for Nonconvex Finite-Sum Optimization. | Gersende Fort, Eric Moulines, Hoi-To Wai |
| 2021 | ICML | Counterfactual Credit Assignment in Model-Free Reinforcement Learning. | Thomas Mesnard, Theophane Weber, Fabio Viola, Shantanu Thakoor, Alaa Saade, Anna Harutyunyan, Will Dabney, Thomas S. Stepleton, Nicolas Heess, Arthur Guez, Eric Moulines, Marcus Hutter, Lars Buesing, Rmi Munos |
| 2021 | ICML | DG-LMC: A Turn-key and Scalable Synchronous Distributed MCMC Algorithm via Langevin Monte Carlo within Gibbs. | Vincent Plassier, Maxime Vono, Alain Durmus, Eric Moulines |
| 2021 | ICML | Monte Carlo Variational Auto-Encoders. | Achille Thin, Nikita Kotelevskii, Arnaud Doucet, Alain Durmus, Eric Moulines, Maxim Panov |
| 2020 | COLT | Finite Time Analysis of Linear Two-timescale Stochastic Approximation with Markovian Noise. | Maxim Kaledin, Eric Moulines, Alexey Naumov, Vladislav Tadic, Hoi-To Wai |
| 2020 | ICML | Fast and Consistent Learning of Hidden Markov Models by Incorporating Non-Consecutive Correlations. | Robert Mattila, Cristian R. Rojas, Eric Moulines, Vikram Krishnamurthy, Bo Wahlberg |
| 2019 | COLT | Non-asymptotic Analysis of Biased Stochastic Approximation Scheme. | Belhal Karimi, Blazej Miasojedow, Eric Moulines, Hoi-To Wai |
| 2017 | COLT | Sampling from a log-concave distribution with compact support with proximal Langevin Monte Carlo. | Nicolas Brosse, Alain Durmus, Eric Moulines, Marcelo Pereyra |
| 2017 | ICASSP | Parallelized Stochastic Gradient Markov Chain Monte Carlo algorithms for non-negative matrix factorization. | Umut Simsekli, Alain Durmus, Roland Badeau, Gal Richard, Eric Moulines, A. Taylan Cemgil |
| 2017 | ICASSP | Fast and privacy preserving distributed low-rank regression. | Hoi-To Wai, Anna Scaglione, Jean Lafond, Eric Moulines |
| 2016 | ICASSP | D-FW: Communication efficient distributed algorithms for high-dimensional sparse optimization. | Jean Lafond, Hoi-To Wai, Eric Moulines |
| 2016 | ICASSP | On the LP-convergence of a Girsanov theorem based particle filter. | Simo Srkk, Eric Moulines |
| 2015 | DSAA | The sexy job in the next ten years will be statisticians. | Eric Moulines |
| 2014 | PIMRC | Coverage mapping using spatial interpolation with field measurements. | Hajer Braham, Sana Ben Jemaa, Berna Sayra, Gersende Fort, Eric Moulines |
| 2014 | WCNC | Active antenna systems for centralized self-optimization of capacity in LTE-A. | Yasir Khan, Berna Sayra, Eric Moulines |
| 2014 | WiOpt | Low complexity spatial interpolation for cellular coverage analysis. | Hajer Braham, Sana Ben Jemaa, Berna Sayra, Gersende Fort, Eric Moulines |
| 2013 | PIMRC | Centralized self-optimization of pilot powers for load balancing in LTE. | Yasir Khan, Berna Sayra, Eric Moulines |
| 2013 | VTC | Surrogate Based Centralized SON: Application to Interference Mitigation in LTE-A HetNets. | Yasir Khan, Berna Sayra, Eric Moulines |
| 2013 | VTC | Surrogate Based Centralized Automated Optimization Applied to LTE Mobility Load Balancing. | Yasir Khan, Berna Sayra, Eric Moulines |
| 2012 | SIGCOMM | Improving coverage estimation for cellular networks with spatial bayesian prediction based on measurements. | Berna Sayra, Janne Riihijrvi, Petri Mhnen, Sana Ben Jemaa, Eric Moulines, Sebastien Grimoud |
| 2011 | ALT | On Upper-Confidence Bound Policies for Switching Bandit Problems. | Aurlien Garivier, Eric Moulines |
| 2011 | ICASSP | CLT for eigen-inference methods in cognitive radios. | Jianfeng Yao, Romain Couillet, Jamal Najim, Eric Moulines, Mrouane Debbah |
| 2011 | VTC | Best Sensor Selection for an Iterative REM Construction. | Sebastien Grimoud, Berna Sayra, Sana Ben Jemaa, Eric Moulines |
| 2010 | IGARSS | Detecting aircraft with a low resolution infrared sensor. | Jrmie Jakubowicz, Sidonie Lefebvre, Eric Moulines |
| 2009 | ICASSP | On the error exponents for detecting randomly sampled noisy diffusion processes. | Walid Hachem, Eric Moulines, Jamal Najim, Franois Roueff |
| 2008 | GLOBECOM | Opportunistic Spectrum Access: Online Search of Optimality. | Afef Ben Hadj Alaya-Feki, Berna Sayra, Eric Moulines, Alain Le Cornec |
| 2008 | PIMRC | Informed spectrum usage in cognitive radio networks: Interference cartography. | Afef Ben Hadj Alaya-Feki, Sana Ben Jemaa, Berna Sayra, Paul Houz, Eric Moulines |
| 2008 | VTC | Semi Dynamic Parameter Tuning for Optimized Opportunistic Spectrum Access. | Afef Ben Hadj Alaya-Feki, Berna Sayra, Alain Le Cornec, Eric Moulines |
| 2008 | WiMob | Opportunistic Spectrum Access with IEEE 802.11 in IEEE P1900.4 Framework. | Afef Ben Hadj Alaya-Feki, Berna Sayra, Paul Houz, Eric Moulines |
| 2006 | ICASSP | Recursive Em Algorithm with Applications to Doa Estimation. | Olivier Capp, Maurice Charbit, Eric Moulines |
| 2006 | ICASSP | Source Localization from Quantized Time of Arrival Measurements. | Nadir Castaeda, Maurice Charbit, Eric Moulines |
| 2006 | ICASSP | Energy Spectrum Reconstruction for HPGe Detectors Using Analytical Pile-Up Correction. | Thomas Trigano, Franois Roueff, Eric Moulines, Antoine Souloumiac, Thierry Montagu |
| 2005 | ICASSP | Modeling, identification, and control of large-scale dynamical systems. | Simon Haykin, Alfred O. Hero III, Eric Moulines |
| 2001 | ICASSP | An adaptive broadband estimator of the fractional differencing coefficient. | Clifford M. Hurvich, Eric Moulines, Philippe Soulier |
| 2001 | VTC | Training-based channel estimation and de-noising for the UMTS TDD mode. | Samson Lasaulce, Philippe Loubaton, Eric Moulines, Soodesh Buljore |
| 2000 | ICASSP | Performance of a subspace based semi-blind technique in the UMTS TDD mode context. | Samson Lasaulce, Philippe Loubaton, Eric Moulines |
| 1999 | ICASSP | Application of blind second order statistics MIMO identification methods to the blind CDMA forward link channel estimation. | Philippe Loubaton, Eric Moulines |
| 1999 | ICASSP | Blind knowledge based algorithms based on second order statistics. | Lisa Perros-Meilhac, Pierre Duhamel, Pascal Chevalier, Eric Moulines |
| 1998 | ICASSP | Quasi-Newton method for maximum likelihood estimation of hidden Markov models. | Olivier Capp, Vincent Buchoux, Eric Moulines |
| 1998 | ICASSP | Polynomial quasi-harmonic models for speech analysis and synthesis. | Gilles Fa, Eric Moulines, Olivier Capp, Frdric Bimbot |
| 1998 | ICASSP | On a perturbation approach for the analysis of stochastic tracking algorithms. | Eric Moulines, Pierre Priouret, Rafik Aguech |
| 1997 | ICASSP | Maximum likelihood for blind separation and deconvolution of noisy signals using mixture models. | Eric Moulines, Jean-Franois Cardoso, Elisabeth Gassiat |
| 1997 | ICASSP | Asymptotically invariant Gaussianity test for causal invertible time series. | Roxana Ojeda, Jean-Franois Cardoso, Eric Moulines |
| 1996 | ICASSP | Second order blind equalization in multiple input multiple output FIR systems: a weighted least squares approach. | Alexei Gorokhov, Philippe Loubaton, Eric Moulines |
| 1996 | ICASSP | Subspace methods for blind identification of SIMO-FIR systems. | Eric Moulines, Jean-Franois Cardoso, Alexei Gorokhov, Philippe Loubaton |
| 1995 | ICASSP | Prediction error methods for time-domain blind identification of multichannel FIR filters. | Karim Abed-Meraim, Pierre Duhamel, David Gesbert, Philippe Loubaton, Sylvie Mayrargue, Eric Moulines, Dirk T. M. Slock |
| 1995 | Interspeech | Statistical methods for voice quality transformation. | Yannis Stylianou, Olivier Capp, Eric Moulines |
| 1995 | Interspeech | High-quality speech modification based on a harmonic + noise model. | Yannis Stylianou, Jean Laroche, Eric Moulines |
| 1994 | ICASSP | Asymptotic performance of second order blind separation. | Karim Abed-Meraim, Adel Belouchrani, Jean-Franois Cardoso, Eric Moulines |
| 1994 | ICASSP | Subspace methods for the blind identification of multichannel FIR filters. | Eric Moulines, Pierre Duhamel, Jean-Franois Cardoso, Sylvie Mayrargue |
| 1993 | ICASSP | Minimum constrast estimation with applications to array processing. | Jean-Franois Cardoso, Eric Moulines |
| 1993 | ICASSP | HNS: Speech modification based on a harmonic+noise model. | Jean Laroche, Yannis Stylianou, Eric Moulines |
| 1992 | ICASSP | Low-delay frequency domain LMS algorithm. | Omar Ait Amrane, Eric Moulines, Maurice Charbit, Yves Grenier |
| 1992 | ICASSP | Direction finding algorithms using fourth order statistics: asymptotic performance analysis. | Eric Moulines, Jean-Franois Cardoso |
| 1991 | Interspeech | Voice tranformation using PSOLA technique. | Hlne Valbret, Eric Moulines, Jean-Pierre Tubach |
| 1990 | ICASSP | A real-time French text-to-speech system generating high-quality synthetic speech. | Eric Moulines, Franoise Emerard, Danielle Larreur, J. L. Le Saint-Milon, L. Le Faucheur, F. Marty, Francis Charpentier, Christel Sorin |
| 1989 | ICASSP | A diphone synthesis system based on time-domain prosodic modifications of speech. | Christian Hamon, Eric Moulines, Francis Charpentier |
| 1989 | Interspeech | Pitch-synchronous waveform processing techniques for text-to-speech synthesis using diphones. | Francis Charpentier, Eric Moulines |
| 1989 | Interspeech | Detection of the glottal closure by jumps in the statistical properties of the signal. | Renaud J. Di Francesco, Eric Moulines |
| 1988 | ICASSP | Text-to-speech algorithms based on FFT synthesis. | Francis Charpentier, Eric Moulines |
| 1987 | Interspeech | Text-to-speech synthesis in the French electronic mail environment. | Christel Sorin, Raymond Descout, Christian Benot, Franoise Emerard, C. Fluhr, Danielle Larreur, J. L. Le Saint-Milon, Eric Moulines, R. Peron |