| 2025 | AISTATS | Unbiased and Sign Compression in Distributed Learning: Comparing Noise Resilience via SDEs. | Enea Monzio Compagnoni, Rustem Islamov, Frank Norbert Proske, Aurlien Lucchi |
| 2025 | AISTATS | Cubic regularized subspace Newton for non-convex optimization. | Jim Zhao, Nikita Doikov, Aurlien Lucchi |
| 2025 | ICLR | Adaptive Methods through the Lens of SDEs: Theoretical Insights on the Role of Noise. | Enea Monzio Compagnoni, Tianlin Liu, Rustem Islamov, Frank Norbert Proske, Antonio Orvieto, Aurlien Lucchi |
| 2024 | AISTATS | SDEs for Minimax Optimization. | Enea Monzio Compagnoni, Antonio Orvieto, Hans Kersting, Frank Proske, Aurlien Lucchi |
| 2024 | ICML | Characterizing Overfitting in Kernel Ridgeless Regression Through the Eigenspectrum. | Tin Sum Cheng, Aurlien Lucchi, Anastasis Kratsios, David Belius |
| 2024 | ICML | Initial Guessing Bias: How Untrained Networks Favor Some Classes. | Emanuele Francazi, Aurlien Lucchi, Marco Baity-Jesi |
| 2023 | ICCV | Mastering Spatial Graph Prediction of Road Networks. | Sotiris Anagnostidis, Aurlien Lucchi, Thomas Hofmann |
| 2023 | ICML | An SDE for Modeling SAM: Theory and Insights. | Enea Monzio Compagnoni, Luca Biggio, Antonio Orvieto, Frank Norbert Proske, Hans Kersting, Aurlien Lucchi |
| 2023 | ICML | A Theoretical Analysis of the Learning Dynamics under Class Imbalance. | Emanuele Francazi, Marco Baity-Jesi, Aurlien Lucchi |
| 2022 | AISTATS | A Globally Convergent Evolutionary Strategy for Stochastic Constrained Optimization with Applications to Reinforcement Learning. | Youssef Diouane, Aurlien Lucchi, Vihang Prakash Patil |
| 2022 | AISTATS | Vanishing Curvature in Randomly Initialized Deep ReLU Networks. | Antonio Orvieto, Jonas Kohler, Dario Pavllo, Thomas Hofmann, Aurlien Lucchi |
| 2022 | AISTATS | Faster Single-loop Algorithms for Minimax Optimization without Strong Concavity. | Junchi Yang, Antonio Orvieto, Aurlien Lucchi, Niao He |
| 2022 | ICLR | Generalization Through the Lens of Leave-One-Out Error. | Gregor Bachmann, Thomas Hofmann, Aurlien Lucchi |
| 2022 | ICLR | Phenomenology of Double Descent in Finite-Width Neural Networks. | Sidak Pal Singh, Aurlien Lucchi, Thomas Hofmann, Bernhard Schlkopf |
| 2022 | ICML | Anticorrelated Noise Injection for Improved Generalization. | Antonio Orvieto, Hans Kersting, Frank Proske, Francis R. Bach, Aurlien Lucchi |
| 2021 | AAAI | Scalable Graph Networks for Particle Simulations. | Karolis Martinkus, Aurlien Lucchi, Nathanal Perraudin |
| 2021 | AISTATS | Momentum Improves Optimization on Riemannian Manifolds. | Foivos Alimisis, Antonio Orvieto, Gary Bcigneul, Aurlien Lucchi |
| 2021 | AISTATS | Direct-Search for a Class of Stochastic Min-Max Problems. | Sotirios-Konstantinos Anagnostidis, Aurlien Lucchi, Youssef Diouane |
| 2021 | ICCV | Learning Generative Models of Textured 3D Meshes from Real-World Images. | Dario Pavllo, Jonas Kohler, Thomas Hofmann, Aurlien Lucchi |
| 2021 | ICML | Neural Symbolic Regression that scales. | Luca Biggio, Tommaso Bendinelli, Alexander Neitz, Aurlien Lucchi, Giambattista Parascandolo |
| 2020 | AISTATS | A Continuous-time Perspective for Modeling Acceleration in Riemannian Optimization. | Foivos Alimisis, Antonio Orvieto, Gary Bcigneul, Aurlien Lucchi |
| 2020 | ECCV | Controlling Style and Semantics in Weakly-Supervised Image Generation. | Dario Pavllo, Aurlien Lucchi, Thomas Hofmann |
| 2020 | ICML | An Accelerated DFO Algorithm for Finite-sum Convex Functions. | Yuwen Chen, Antonio Orvieto, Aurlien Lucchi |
| 2020 | ICML | Randomized Block-Diagonal Preconditioning for Parallel Learning. | Celestine Mendler-Dnner, Aurlien Lucchi |
| 2019 | AISTATS | Local Saddle Point Optimization: A Curvature Exploitation Approach. | Leonard Adolphs, Hadi Daneshmand, Aurlien Lucchi, Thomas Hofmann |
| 2019 | AISTATS | Exponential convergence rates for Batch Normalization: The power of length-direction decoupling in non-convex optimization. | Jonas Moritz Kohler, Hadi Daneshmand, Aurlien Lucchi, Thomas Hofmann, Ming Zhou, Klaus Neymeyr |
| 2019 | ICCV | Topological Map Extraction From Overhead Images. | Zuoyue Li, Jan Dirk Wegner, Aurlien Lucchi |
| 2019 | UAI | The Role of Memory in Stochastic Optimization. | Antonio Orvieto, Jonas Kohler, Aurlien Lucchi |
| 2018 | ICLR | An Online Learning Approach to Generative Adversarial Networks. | Paulina Grnarova, Kfir Y. Levy, Aurlien Lucchi, Thomas Hofmann, Andreas Krause |
| 2018 | ICLR | Semantic Interpolation in Implicit Models. | Yannic Kilcher, Aurlien Lucchi, Thomas Hofmann |
| 2018 | ICML | Escaping Saddles with Stochastic Gradients. | Hadi Daneshmand, Jonas Moritz Kohler, Aurlien Lucchi, Thomas Hofmann |
| 2018 | ICML | A Distributed Second-Order Algorithm You Can Trust. | Celestine Dnner, Aurlien Lucchi, Matilde Gargiani, An Bian, Thomas Hofmann, Martin Jaggi |
| 2017 | ICML | Sub-sampled Cubic Regularization for Non-convex Optimization. | Jonas Moritz Kohler, Aurlien Lucchi |
| 2017 | WWW | Leveraging Large Amounts of Weakly Supervised Data for Multi-Language Sentiment Classification. | Jan Deriu, Aurlien Lucchi, Valeria De Luca, Aliaksei Severyn, Simon Mller, Mark Cieliebak, Thomas Hofmann, Martin Jaggi |
| 2016 | ICML | Starting Small - Learning with Adaptive Sample Sizes. | Hadi Daneshmand, Aurlien Lucchi, Thomas Hofmann |
| 2016 | WWW | Probabilistic Bag-Of-Hyperlinks Model for Entity Linking. | Octavian-Eugen Ganea, Marina Ganea, Aurlien Lucchi, Carsten Eickhoff, Thomas Hofmann |
| 2014 | MICCAI | Exploiting Enclosing Membranes and Contextual Cues for Mitochondria Segmentation. | Aurlien Lucchi, Carlos J. Becker, Pablo Mrquez-Neila, Pascal Fua |
| 2013 | CVPR | Learning for Structured Prediction Using Approximate Subgradient Descent with Working Sets. | Aurlien Lucchi, Yunpeng Li, Pascal Fua |
| 2013 | ICML | An Optimal Policy for Target Localization with Application to Electron Microscopy. | Raphael Sznitman, Aurlien Lucchi, Peter I. Frazier, Bruno Jedynak, Pascal Fua |
| 2013 | MICCAI | Flash Scanning Electron Microscopy. | Raphael Sznitman, Aurlien Lucchi, Marco Cantoni, Graham Knott, Pascal Fua |
| 2012 | ECCV | Structured Image Segmentation Using Kernelized Features. | Aurlien Lucchi, Yunpeng Li, Kevin Smith, Pascal Fua |
| 2012 | ECCV | Joint Image and Word Sense Discrimination for Image Retrieval. | Aurlien Lucchi, Jason Weston |
| 2012 | MICCAI | Efficient Scanning for EM Based Target Localization. | Raphael Sznitman, Aurlien Lucchi, Natasa Pjescic-Emedji, Graham Knott, Pascal Fua |
| 2011 | ICCV | Are spatial and global constraints really necessary for segmentation? | Aurlien Lucchi, Yunpeng Li, Xavier Boix Bosch, Kevin Smith, Pascal Fua |
| 2010 | MICCAI | A Fully Automated Approach to Segmentation of Irregularly Shaped Cellular Structures in EM Images. | Aurlien Lucchi, Kevin Smith, Radhakrishna Achanta, Vincent Lepetit, Pascal Fua |
| 2010 | TEI | An empirical evaluation of touch and tangible interfaces for tabletop displays. | Aurlien Lucchi, Patrick Jermann, Guillaume Zufferey, Pierre Dillenbourg |
| 2009 | TEI | TinkerSheets: using paper forms to control and visualize tangible simulations. | Guillaume Zufferey, Patrick Jermann, Aurlien Lucchi, Pierre Dillenbourg |