EPFL papers @ ICLR 2025

© 2025 EPFL
The following EPFL papers have been accepted to ICLR 2025 (The Thirteenth International Conference on Learning Representations).
The conference will be held from April 24-28, 2025 in Singapore.
Below is a list of ICLR 2025 papers with at least one EPFL author:
- Adversarial Training for Defense Against Label Poisoning Attacks by Melis Ilayda Bal, Volkan Cevher, Michael Muehlebach
- Certified Robustness Under Bounded Levenshtein Distance by Elias Abad Rocamora, Grigorios Chrysos, Volkan Cevher
- Faster Inference of Flow-Based Generative Models via Improved Data-Noise Coupling by Aram Davtyan, Leello Tadesse Dadi, Volkan Cevher, Paolo Favaro
- Efficient Interpolation between Extragradient and Proximal Methods for Weak MVIs by Thomas Pethick, Ioannis Mavrothalassitis, Volkan Cevher
- Addressing Label Shift in Distributed Learning via Entropy Regularization by Zhiyuan Wu, Changkyu Choi, Xiangcheng Cao, Volkan Cevher, Ali Ramezani-Kebrya
- How Gradient descent balances features: A dynamical analysis for two-layer neural networks by Zhenyu Zhu, Fanghui Liu, Volkan Cevher
- Quantum-PEFT: Ultra parameter-efficient fine-tuning by Toshiaki Koike-Akino, Francesco Tonin, Yongtao Wu, Zhengqing Wu, Leyla Naz Candogan, Volkan Cevher
- Loss Landscape of Shallow ReLU-like Neural Networks: Stationary Points, Saddle Escaping, and Network Embedding by Zhengqing Wu, Berfin Simsek, François Gaston Ged
- Intrinsic User-Centric Interpretability through Global Mixture of Experts by Vinitra Swamy, Syrielle Montariol, Julian Blackwell, Jibril Frej, Martin Jaggi, Tanja Käser
- Jailbreaking Leading Safety-Aligned LLMs with Simple Adaptive Attacks by Maksym Andriushchenko, Francesco Croce, Nicolas Flammarion
- Does Refusal Training in LLMs Generalize to the Past Tense? by Maksym Andriushchenko, Nicolas Flammarion
- Is In-Context Learning Sufficient for Instruction Following in LLMs? by Hao Zhao, Maksym Andriushchenko, Francesco Croce, Nicolas Flammarion
- Adversarially Robust Out-of-Distribution Detection Using Lyapunov-Stabilized Embeddings by Hossein Mirzaei, Mackenzie W Mathis
- Beyond Auto-Regression: Fast LLMs via Self-Distillation Through Time by Justin Deschenaux, Caglar Gulcehre
- LiNeS: Post-training Layer Scaling Prevents Forgetting and Enhances Model Merging by Ke Wang, Nikolaos Dimitriadis, Alessandro Favero, Guillermo Ortiz-Jimenez, François Fleuret, Pascal Frossard
- Pareto Low-Rank Adapters: Efficient Multi-Task Learning with Preferences by Nikolaos Dimitriadis, Pascal Frossard, François Fleuret
- Improved Algorithms for Kernel Matrix-Vector Multiplication by Piotr Indyk, Michael Kapralov, Kshiteej Sheth, Tal Wagner
- Probing the Latent Hierarchical Structure of Data via Diffusion Models by Antonio Sclocchi, Alessandro Favero, Noam Itzhak Levi, Matthieu Wyart
- CoTFormer: A Chain of Thought Driven Architecture with Budget-Adaptive Computation Cost at Inference by Amirkeivan Mohtashami, Matteo Pagliardini, Martin Jaggi
- The AdEMAMix Optimizer: Better, Faster, Older by Matteo Pagliardini, Pierre Ablin, David Grangier
- Task-Adaptive Pretrained Language Models via Clustered-Importance Sampling by David Grangier, Simin Fan, Skyler Seto, Pierre Ablin
- Effective Interplay between Sparsity and Quantization: From Theory to Practice by Simla Burcu Harma, Ayan Chakraborty, Elizaveta Kostenok, Danila Mishin, Dongho Ha, Babak Falsafi, Martin Jaggi, Ming Liu, Yunho Oh, Suvinay Subramanian, Amir Yazdanbakhsh
- Towards Self-Supervised Covariance Estimation in Deep Heteroscedastic Regression by Megh Shukla, Aziz Shameem, Mathieu Salzmann, Alexandre Alahi
- Attention with Markov: A Curious Case of Single-layer Transformers by Ashok Vardhan Makkuva, Marco Bondaschi, Alliot Nagle, Adway Girish, Hyeji Kim, Martin Jaggi, Michael Gastpar
- TopoLM: brain-like spatio-functional organization in a topographic language model by Neil Rathi, Johannes Mehrer, Badr AlKhamissi, Taha Osama A Binhuraib, Nicholas Blauch, Martin Schrimpf
- INCLUDE: Evaluating Multilingual Language Understanding with Regional Knowledge by Angelika Romanou, Negar Foroutan, Anna Sotnikova, Imanol Schlag, Marzieh Fadaee, Sara Hooker, Antoine Bosselut
- BigDocs: An Open and Permissively-Licensed Dataset for Training Multimodal Models on Document and Code Tasks by Juan A. Rodriguez, Xiangru Jian, Siba Smarak Panigrahi, David Vazquez, Sai Rajeswar
- SymmCD: Symmetry-Preserving Crystal Generation with Diffusion Models by Daniel Levy, Siba Smarak Panigrahi, Siamak Ravanbakhsh
- Large (Vision) Language Models are Unsupervised In-Context Learners by Artyom Gadetsky, Andrei Atanov, Yulun Jiang, Zhitong Gao, Ghazal Hosseini Mighan, Amir Zamir, Maria Brbic
- HyperFace: Generating Synthetic Face Recognition Datasets by Exploring Face Embedding Hypersphere by Hatef Otroshi Shahreza, Sébastien Marcel
- What to align in multimodal contrastive learning? by Benoit Dufumier, Javiera Castillo Navarro, Devis Tuia, Jean-Philippe Thiran
- Joint Fine-tuning and Conversion of Pretrained Speech and Language Models towards Linear Complexity by Mutian He, Philip N. Garner
- Selective induction Heads: How Transformers Select Causal Structures in Context by Francesco D'Angelo, Francesco Croce, Nicolas Flammarion
- Adaptive Gradient Clipping for Robust Federated Learning by Youssef Allouah, Rachid Guerraoui, Nirupam Gupta, Ahmed Jellouli, Geovani Rizk, John Stephan
- The Utility and Complexity of In- and Out-of-Distribution Machine Unlearning by Youssef Allouah, Joshua Kazdan, Rachid Guerraoui, Sanmi Koyejo
- LeFusion: Controllable Pathology Synthesis via Lesion-Focused Diffusion Models by Hantao Zhang, Yuhe Liu, Jiancheng Yang, Shouhong Wan, Xinyuan Wang, Wei Peng, Pascal Fua
- Enhancing Compositional Text-to-Image Generation with Reliable Random Seeds by Shuangqi Li, Hieu Le, Jingyi Xu, Mathieu Salzmann
- Long-Context Linear System Identification by Oğuz Kaan Yüksel, Mathieu Even, Nicolas Flammarion
- Controllable Context Sensitivity and the Knob Behind It by Julian Minder, Kevin Du, Niklas Stoehr, Giovanni Monea, Chris Wendler, Robert West, Ryan Cotterell
- Adversarially Robust Anomaly Detection through Spurious Negative Pair Mitigation by Hossein Mirzaei, Mojtaba Nafez, Jafar Habibi, Mohammad Sabokrou, Mohammad Hossein Rohban