Antonio Orvieto
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
24
Venues
9
Active years
2019–2026
Best venue rank
A*
Where they publish
Papers
24 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | ACL | GitChameleon 2.0: Evaluating AI Code Generation Against Python Library Version Incompatibilities. | Diganta Misra, Nizar Islah, Victor May, Brice Rauby, Zihan Wang, Justine Gehring, Antonio Orvieto, Muawiz Sajjad Chaudhary, Eilif B. Muller, Irina Rish, Samira Ebrahimi Kahou, Massimo Caccia |
| 2025 | COLT | An uncertainty principle for Linear Recurrent Neural Networks. | Alexandre Franois, Antonio Orvieto, Francis R. Bach |
| 2025 | EMNLP | (Almost) Free Modality Stitching of Foundation Models. | Jaisidh Singh, Diganta Misra, Boris Knyazev, Antonio Orvieto |
| 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 |
| 2025 | ICLR | Geometric Inductive Biases of Deep Networks: The Role of Data and Architecture. | Sajad Movahedi, Antonio Orvieto, Seyed-Mohsen Moosavi-Dezfooli |
| 2025 | ICML | When, Where and Why to Average Weights? | Niccol Ajroldi, Antonio Orvieto, Jonas Geiping |
| 2025 | ICML | Generalized Interpolating Discrete Diffusion. | Dimitri von Rtte, Janis Fluri, Yuhui Ding, Antonio Orvieto, Bernhard Schlkopf, Thomas Hofmann |
| 2024 | AISTATS | SDEs for Minimax Optimization. | Enea Monzio Compagnoni, Antonio Orvieto, Hans Kersting, Frank Proske, Aurlien Lucchi |
| 2024 | ICML | Recurrent Distance Filtering for Graph Representation Learning. | Yuhui Ding, Antonio Orvieto, Bobby He, Thomas Hofmann |
| 2024 | ICML | Universality of Linear Recurrences Followed by Non-linear Projections: Finite-Width Guarantees and Benefits of Complex Eigenvalues. | Antonio Orvieto, Soham De, Caglar Gulcehre, Razvan Pascanu, Samuel L. Smith |
| 2023 | AISTATS | Explicit Regularization in Overparametrized Models via Noise Injection. | Antonio Orvieto, Anant Raj, Hans Kersting, Francis R. Bach |
| 2023 | CVPR | Achieving a Better Stability-Plasticity Trade-off via Auxiliary Networks in Continual Learning. | Sanghwan Kim, Lorenzo Noci, Antonio Orvieto, 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 | Resurrecting Recurrent Neural Networks for Long Sequences. | Antonio Orvieto, Samuel L. Smith, Albert Gu, Anushan Fernando, aglar Glehre, Razvan Pascanu, Soham De |
| 2023 | IJCNN | On the effectiveness of Randomized Signatures as Reservoir for Learning Rough Dynamics. | Enea Monzio Compagnoni, Anna Scampicchio, Luca Biggio, Antonio Orvieto, Thomas Hofmann, Josef Teichmann |
| 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 | ICML | Anticorrelated Noise Injection for Improved Generalization. | Antonio Orvieto, Hans Kersting, Frank Proske, Francis R. Bach, Aurlien Lucchi |
| 2021 | AISTATS | Momentum Improves Optimization on Riemannian Manifolds. | Foivos Alimisis, Antonio Orvieto, Gary Bcigneul, Aurlien Lucchi |
| 2021 | AISTATS | Revisiting the Role of Euler Numerical Integration on Acceleration and Stability in Convex Optimization. | Peiyuan Zhang, Antonio Orvieto, Hadi Daneshmand, Thomas Hofmann, Roy S. Smith |
| 2021 | ICLR | Learning explanations that are hard to vary. | Giambattista Parascandolo, Alexander Neitz, Antonio Orvieto, Luigi Gresele, Bernhard Schlkopf |
| 2020 | AISTATS | A Continuous-time Perspective for Modeling Acceleration in Riemannian Optimization. | Foivos Alimisis, Antonio Orvieto, Gary Bcigneul, Aurlien Lucchi |
| 2020 | ICML | An Accelerated DFO Algorithm for Finite-sum Convex Functions. | Yuwen Chen, Antonio Orvieto, Aurlien Lucchi |
| 2019 | UAI | The Role of Memory in Stochastic Optimization. | Antonio Orvieto, Jonas Kohler, Aurlien Lucchi |