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2020 – today
- 2024
[c10]Kai Lion, Lorenzo Noci, Thomas Hofmann, Gregor Bachmann:
How Good is a Single Basin? AISTATS 2024: 4015-4023- [c9]Blake Bordelon, Lorenzo Noci, Mufan Bill Li, Boris Hanin, Cengiz Pehlevan:
Depthwise Hyperparameter Transfer in Residual Networks: Dynamics and Scaling Limit. ICLR 2024 - [i14]Kai Lion, Lorenzo Noci, Thomas Hofmann, Gregor Bachmann:
How Good is a Single Basin? CoRR abs/2402.03187 (2024) - [i13]Lorenzo Noci, Alexandru Meterez, Thomas Hofmann, Antonio Orvieto:
Why do Learning Rates Transfer? Reconciling Optimization and Scaling Limits for Deep Learning. CoRR abs/2402.17457 (2024) - [i12]Bobby He, Lorenzo Noci, Daniele Paliotta, Imanol Schlag, Thomas Hofmann:
Understanding and Minimising Outlier Features in Neural Network Training. CoRR abs/2405.19279 (2024) - 2023
- [c8]Sanghwan Kim, Lorenzo Noci, Antonio Orvieto, Thomas Hofmann:
Achieving a Better Stability-Plasticity Trade-off via Auxiliary Networks in Continual Learning. CVPR 2023: 11930-11939 - [c7]Sotiris Anagnostidis, Gregor Bachmann, Lorenzo Noci, Thomas Hofmann:
The Curious Case of Benign Memorization. ICLR 2023 - [c6]Sotiris Anagnostidis, Dario Pavllo, Luca Biggio, Lorenzo Noci, Aurélien Lucchi, Thomas Hofmann:
Dynamic Context Pruning for Efficient and Interpretable Autoregressive Transformers. NeurIPS 2023 - [c5]Lorenzo Noci, Chuning Li, Mufan Bill Li, Bobby He, Thomas Hofmann, Chris J. Maddison, Dan Roy:
The Shaped Transformer: Attention Models in the Infinite Depth-and-Width Limit. NeurIPS 2023 - [i11]Sanghwan Kim, Lorenzo Noci, Antonio Orvieto, Thomas Hofmann:
Achieving a Better Stability-Plasticity Trade-off via Auxiliary Networks in Continual Learning. CoRR abs/2303.09483 (2023) - [i10]Sotiris Anagnostidis, Dario Pavllo, Luca Biggio, Lorenzo Noci, Aurélien Lucchi, Thomas Hofmann:
Dynamic Context Pruning for Efficient and Interpretable Autoregressive Transformers. CoRR abs/2305.15805 (2023) - [i9]Lorenzo Noci, Chuning Li, Mufan Bill Li, Bobby He, Thomas Hofmann, Chris J. Maddison, Daniel M. Roy:
The Shaped Transformer: Attention Models in the Infinite Depth-and-Width Limit. CoRR abs/2306.17759 (2023) - [i8]Blake Bordelon, Lorenzo Noci, Mufan Bill Li, Boris Hanin, Cengiz Pehlevan:
Depthwise Hyperparameter Transfer in Residual Networks: Dynamics and Scaling Limit. CoRR abs/2309.16620 (2023) - [i7]Gul Sena Altintas, Gregor Bachmann, Lorenzo Noci, Thomas Hofmann:
Disentangling Linear Mode-Connectivity. CoRR abs/2312.09832 (2023) - 2022
- [c4]Gregor Bachmann, Lorenzo Noci, Thomas Hofmann:
How Tempering Fixes Data Augmentation in Bayesian Neural Networks. ICML 2022: 1244-1260 - [c3]Lorenzo Noci, Sotiris Anagnostidis, Luca Biggio, Antonio Orvieto, Sidak Pal Singh, Aurélien Lucchi:
Signal Propagation in Transformers: Theoretical Perspectives and the Role of Rank Collapse. NeurIPS 2022 - [i6]Gregor Bachmann, Lorenzo Noci, Thomas Hofmann:
How Tempering Fixes Data Augmentation in Bayesian Neural Networks. CoRR abs/2205.13900 (2022) - [i5]Lorenzo Noci, Sotiris Anagnostidis, Luca Biggio, Antonio Orvieto, Sidak Pal Singh, Aurélien Lucchi
:
Signal Propagation in Transformers: Theoretical Perspectives and the Role of Rank Collapse. CoRR abs/2206.03126 (2022) - [i4]Sotiris Anagnostidis, Gregor Bachmann, Lorenzo Noci, Thomas Hofmann:
The Curious Case of Benign Memorization. CoRR abs/2210.14019 (2022) - 2021
- [c2]Lorenzo Noci, Kevin Roth, Gregor Bachmann, Sebastian Nowozin, Thomas Hofmann:
Disentangling the Roles of Curation, Data-Augmentation and the Prior in the Cold Posterior Effect. NeurIPS 2021: 12738-12748 - [c1]Lorenzo Noci, Gregor Bachmann, Kevin Roth, Sebastian Nowozin, Thomas Hofmann:
Precise characterization of the prior predictive distribution of deep ReLU networks. NeurIPS 2021: 20851-20862 - [i3]Lorenzo Noci, Kevin Roth, Gregor Bachmann, Sebastian Nowozin, Thomas Hofmann:
Disentangling the Roles of Curation, Data-Augmentation and the Prior in the Cold Posterior Effect. CoRR abs/2106.06596 (2021) - [i2]Lorenzo Noci, Gregor Bachmann, Kevin Roth, Sebastian Nowozin, Thomas Hofmann:
Precise characterization of the prior predictive distribution of deep ReLU networks. CoRR abs/2106.06615 (2021) - 2020
- [i1]Mario Arduini, Lorenzo Noci, Federico Pirovano, Ce Zhang, Yash Raj Shrestha, Bibek Paudel:
Adversarial Learning for Debiasing Knowledge Graph Embeddings. CoRR abs/2006.16309 (2020)
Coauthor Index
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last updated on 2024-08-08 19:19 CEST by the dblp team
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