| 2025 | AISTATS | Level Set Teleportation: An Optimization Perspective. | Aaron Mishkin, Alberto Bietti, Robert M. Gower |
| 2025 | COLT | Learning Compositional Functions with Transformers from Easy-to-Hard Data. | Zixuan Wang, Eshaan Nichani, Alberto Bietti, Alex Damian, Daniel Hsu, Jason D. Lee, Denny Wu |
| 2025 | ICLR | Distributional Associations vs In-Context Reasoning: A Study of Feed-forward and Attention Layers. | Lei Chen, Joan Bruna, Alberto Bietti |
| 2025 | ICLR | Understanding Factual Recall in Transformers via Associative Memories. | Eshaan Nichani, Jason D. Lee, Alberto Bietti |
| 2025 | ICML | BAnG: Bidirectional Anchored Generation for Conditional RNA Design. | Roman Klypa, Alberto Bietti, Sergei Grudinin |
| 2025 | ICML | In-Context Denoising with One-Layer Transformers: Connections between Attention and Associative Memory Retrieval. | Matthew Smart, Alberto Bietti, Anirvan M. Sengupta |
| 2024 | ICLR | Scaling Laws for Associative Memories. | Vivien Cabannes, Elvis Dohmatob, Alberto Bietti |
| 2024 | ICML | Learning Associative Memories with Gradient Descent. | Vivien Cabannes, Berfin Simsek, Alberto Bietti |
| 2023 | ICASSP | On Minimal Variations for Unsupervised Representation Learning. | Vivien Cabannes, Alberto Bietti, Randall Balestriero |
| 2023 | ICML | The SSL Interplay: Augmentations, Inductive Bias, and Generalization. | Vivien Cabannes, Bobak Toussi Kiani, Randall Balestriero, Yann LeCun, Alberto Bietti |
| 2022 | AISTATS | Efficient Kernelized UCB for Contextual Bandits. | Houssam Zenati, Alberto Bietti, Eustache Diemert, Julien Mairal, Matthieu Martin, Pierre Gaillard |
| 2022 | ICLR | Approximation and Learning with Deep Convolutional Models: a Kernel Perspective. | Alberto Bietti |
| 2022 | ICML | Personalization Improves Privacy-Accuracy Tradeoffs in Federated Learning. | Alberto Bietti, Chen-Yu Wei, Miroslav Dudk, John Langford, Zhiwei Steven Wu |
| 2021 | ICLR | Deep Equals Shallow for ReLU Networks in Kernel Regimes. | Alberto Bietti, Francis R. Bach |
| 2021 | ICML | On Energy-Based Models with Overparametrized Shallow Neural Networks. | Carles Domingo-Enrich, Alberto Bietti, Eric Vanden-Eijnden, Joan Bruna |
| 2019 | ICML | A Kernel Perspective for Regularizing Deep Neural Networks. | Alberto Bietti, Grgoire Mialon, Dexiong Chen, Julien Mairal |
| 2015 | ICASSP | An online EM algorithm in hidden (semi-)Markov models for audio segmentation and clustering. | Alberto Bietti, Francis R. Bach, Arshia Cont |