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Hi! PARIS Papers Accepted at ICASSP & ICLR 2025

In April 2025, Hi! PARIS researchers were recognized at two major international conferences in Artificial Intelligence.

From April 6 to 11, the IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP) highlighted breakthroughs in signal processing, audio, and speech technologies.

Later, from April 24 to 28, the International Conference on Learning Representations (ICLR), the premier gathering for experts advancing the field of representation learning brought together leading minds in machine learning and deep learning. Across both events, 41 research papers by Hi! PARIS-affiliated teams were accepted, underscoring the center’s commitment to cutting-edge, interdisciplinary research in AI and data science. 

Congratulations to our researchers!

List of papers accepted at ICASSP and ICLR 2025

Conference Title Hi! PARIS Authors All Authors
ICLR 2025 Probabilistic Conformal Prediction with Approximate Conditional Validity Eric Moulines Vincent Plassier, Alexander Fishkov, Mohsen Guizani, Maxim Panov, Eric Moulines
ICLR 2025 From Risk to Uncertainty: Generating Predictive Uncertainty Measures via Bayesian Estimation Eric Moulines Nikita Kotelevskii, Vladimir Kondratyev, Martin Takáč, Eric Moulines, Maxim Panov
ICLR 2025 Variational Diffusion Posterior Sampling with Midpoint Guidance Yazid Janati el idrissi, Lisa Bedin, Alain Oliviero Durmus, randal douc, Eric Moulines Badr MOUFAD, Yazid Janati el idrissi, Lisa Bedin, Alain Oliviero Durmus, randal douc, Eric Moulines, Jimmy Olsson
ICLR 2025 Nonasymptotic Analysis of Stochastic Gradient Descent with the Richardson–Romberg Extrapolation Alain Oliviero Durmus, Eric Moulines Marina Sheshukova, Denis Belomestny, Alain Oliviero Durmus, Eric Moulines, Aleksei Naumov, Sergey Samsonov
ICLR 2025 Imputation for prediction: beware of diminishing returns Gael Varoquaux Marine Le Morvan, Gael Varoquaux
ICLR 2025 Learned Reference-based Diffusion Sampler for Multi-Modal Distributions Alain Oliviero Durmus Maxence Noble, Louis Grenioux, Marylou Gabrié, Alain Oliviero Durmus
ICLR 2025 Denoising Levy Probabilistic Models Alain Oliviero Durmus Dario Shariatian, Umut Simsekli, Alain Oliviero Durmus
ICLR 2025 Watermark Anything With Localized Messages Alain Oliviero Durmus Tom Sander, Pierre Fernandez, Alain Oliviero Durmus, Teddy Furon, Matthijs Douze
ICLR 2025 Building Blocks of Differentially Private Training Aymeric Dieuleveut Mahmoud Hegazy, Aymeric Dieuleveut
ICLR 2025 Tailoring Mixup to Data for Calibration Florence d'Alché-Buc Quentin Bouniot, Pavlo Mozharovskyi, Florence d'Alché-Buc
ICLR 2025 Restyling Unsupervised Concept Based Interpretable Networks with Generative Models Florence d'Alché-Buc Jayneel Parekh, Quentin Bouniot, Pavlo Mozharovskyi, Alasdair Newson, Florence d'Alché-Buc
ICLR 2025 Long-time Asymptotics of Noisy SVGD Outside the Population Limit Pascal Bianchi Victor Priser, Pascal Bianchi, Adil Salim
ICLR 2025 Solving Differential Equations with Constrained Learning Luiz Chamon Viggo Moro, Luiz Chamon
ICLR 2025 Simple ReFlow: Improved Techniques for Fast Flow Models Marco Cuturi Beomsu Kim, Yu-Guan Hsieh, Michal Klein, Marco Cuturi, Jong Chul YE, Bahjat Kawar, James Thornton
ICLR 2025 Controlling Language and Diffusion Models by Transporting Activations Marco Cuturi Pau Rodriguez, Arno Blaas, Michal Klein, Luca Zappella, Nicholas Apostoloff, Marco Cuturi, Xavier Suau
ICLR 2025 Disentangled Representation Learning with the Gromov-Monge Gap Marco Cuturi Théo Uscidda, Luca Eyring, Karsten Roth, Fabian Theis, Zeynep Akata, Marco Cuturi
ICLR 2025 An Illustrated Guide to Automatic Sparse Differentiation Guillaume Dalle Adrian Hill, Guillaume Dalle, Alexis Montoison
ICLR 2025 Towards Understanding Why Label Smoothing Degrades Selective Classification and How to Fix It Gianni Franchi Guoxuan Xia, Olivier Laurent, Gianni Franchi, Christos-Savvas Bouganis
ICLR 2025 Last-Iterate Convergence Properties of Regret-Matching Algorithms in Games Julien Grand-Clément Yang Cai, Gabriele Farina, Julien Grand-Clément, Christian Kroer, Chung-Wei Lee, Haipeng Luo, Weiqiang Zheng
ICLR 2025 Provable Convergence and Limitations of Geometric Tempering for Langevin Dynamics Anna Korba, Austin Stromme Omar Chehab, Anna Korba, Austin Stromme, Adrien Vacher
ICLR 2025 NextBestPath: Efficient 3D Mapping of Unseen Environments Vincent Lepetit Shiyao Li, Antoine Guedon, Clémentin Boittiaux, Shizhe Chen, Vincent Lepetit
ICLR 2025 Understanding Virtual Nodes: Oversquashing and Node Heterogeneity Johannes Lutzeyer Joshua Southern, Francesco Di Giovanni, Michael Bronstein, Johannes Lutzeyer
ICLR 2025 Restyling Unsupervised Concept Based Interpretable Networks with Generative Models Pavlo Mozharovskyi, Florence d'Alché-Buc Jayneel Parekh, Quentin Bouniot, Pavlo Mozharovskyi, Alasdair Newson, Florence d'Alché-Buc
ICLR 2025 Tailoring Mixup to Data for Calibration Pavlo Mozharovskyi, Florence d'Alché-Buc Quentin Bouniot, Pavlo Mozharovskyi, Florence d'Alché-Buc
ICLR 2025 AtomSurf: Surface Representation for Learning on Protein Structures Maks Ovsjanikov Vincent Mallet, Yangyang Miao, Souhaib Attaiki, Bruno Correia, Maks Ovsjanikov
ICLR 2025 Feature-Based Online Bilateral Trade Vianney Perchet Solenne Gaucher, Martino Bernasconi, Matteo Castiglioni, Andrea Celli, Vianney Perchet
Conference Title Hi! PARIS Authors All Authors
ICASSP 2025 A Hybrid Model for Weakly-Supervised Speech Dereverberation Mathieu Fontaine, Gaël Richard Louis Bahrman, Mathieu Fontaine, Gaël Richard
ICASSP 2025 AnCoGen: Analysis, Control and Generation of Speech with a Masked Autoencoder Gaël Richard Samir Sadok, Simon Leglaive, Laurent Girin, Gaël Richard, Xavier Alameda-Pineda
ICASSP 2025 Contrastive Knowledge Distillation for Embedding Refinement in Personalized Speech Enhancement Mathieu Fontaine, Slim Essid Thomas Serre, Mathieu Fontaine, Éric Benhaim, Slim Essid
ICASSP 2025 F-STRIPE: Fast Structure-Informed Positional Encoding for Symbolic Music Generation Gaël Richard Manvi Agarwal, Changhong Wang, Gaël Richard
ICASSP 2025 Investigating the Sensitivity of Pre-trained Audio Embeddings to Common Effects Gaël Richard Victor Deng, Changhong Wang, Gaël Richard, Brian McFee
ICASSP 2025 Learning Source Disentanglement in Neural Audio Codec Gaël Richard Xiaoyu Bie, Xubo Liu, Gaël Richard
ICASSP 2025 Masked Latent Prediction and Classification for Self-Supervised Audio Representation Learning Geoffroy Peeters, Slim Essid Aurian Quelennec, Pierre Chouteau, Geoffroy Peeters, Slim Essid
ICASSP 2025 Multiple Choice Learning for Efficient Speech Separation with Many Speakers David Perera, Gaël Richard, Slim Essid David Perera, François Derrida, Théo Mariotte, Gaël Richard, Slim Essid
ICASSP 2025 O-EENC-SD: Efficient Online End-to-End Neural Clustering for Speaker Diarization Mathieu Fontaine, Slim Essid Elio Gruttadauria, Mathieu Fontaine, Jonathan Le Roux, Slim Essid
ICASSP 2025 Perceptual Noise-Masking with Music through Deep Spectral Envelope Shaping Roland Badeau, Slim Essid Clémentine Berger, Roland Badeau, Slim Essid
ICASSP 2025 Re-Evaluating Privacy in Centralized and Decentralized Learning: An Information-Theoretical and Empirical Study Changlong Ji, Stephane Maag Changlong Ji, Richard Heusdens, Stephane Maag, Qiongxiu Li
ICASSP 2025 Standardization Status of MPEG Video-based Dynamic Mesh Coding (V-DMC) Marius Preda Wenjie Zou, Shizhuo Zhang, Fuzheng Yang, Marius Preda
ICASSP 2025 Targeted Data Poisoning for Black-Box Audio Datasets Ownership Verification El-Mahdi El-Mhamdi Wassim Wes Bouaziz, El-Mahdi El-Mhamdi, Nicolas Usunier
ICASSP 2025 Twenty-Five Years of MIR Research: Achievements, Practices, Evaluations, and Future Challenges Geoffroy Peeters Geoffroy Peeters, Zafar Rafii, Magdalena Fuentes, Zhiyao Duan, Emmanouil Benetos, Juhan Nam, Yuki Mitsufuji
ICASSP 2025 Zero-shot Musical Stem Retrieval with Joint-Embedding Predictive Architectures Geoffroy Peeters Alain Riou, Antonin Gagneré, Gaëtan Hadjeres, Stefan Lattner, Geoffroy Peeters