Luca Biggio

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 24

Top Topics

Symbolic Regression

Synthetic Datasets

Top Venues

Publications

Freya Behrens, Luca Biggio, Lenka Zdeborová
Understanding Counting in Small Transformers: The Interplay between Attention and Feed-Forward Layers. CoRR (2024)
Sotiris Anagnostidis, Dario Pavllo, Luca Biggio, Lorenzo Noci, Aurélien Lucchi, Thomas Hofmann
Dynamic Context Pruning for Efficient and Interpretable Autoregressive Transformers. CoRR (2023)
Enea Monzio Compagnoni, Luca Biggio, Antonio Orvieto, Frank Norbert Proske, Hans Kersting, Aurélien Lucchi
An SDE for Modeling SAM: Theory and Insights. ICML (2023)
Elior Benarous, Sotiris Anagnostidis, Luca Biggio, Thomas Hofmann
Harnessing Synthetic Datasets: The Role of Shape Bias in Deep Neural Network Generalization. CoRR (2023)
Enea Monzio Compagnoni, Anna Scampicchio, Luca Biggio, Antonio Orvieto, Thomas Hofmann, Josef Teichmann
On the effectiveness of Randomized Signatures as Reservoir for Learning Rough Dynamics. IJCNN (2023)
Tommaso Bendinelli, Luca Biggio, Pierre-Alexandre Kamienny
Controllable Neural Symbolic Regression. CoRR (2023)
Tommaso Bendinelli, Luca Biggio, Pierre-Alexandre Kamienny
Controllable Neural Symbolic Regression. ICML (2023)
Enea Monzio Compagnoni, Antonio Orvieto, Luca Biggio, Hans Kersting, Frank Norbert Proske, Aurélien Lucchi
An SDE for Modeling SAM: Theory and Insights. CoRR (2023)
Tommaso Bendinelli, Luca Biggio, Daniel Nyfeler, Abhigyan Ghosh, Peter Tollan, Moritz Alexander Kirschmann, Olga Fink
Gemtelligence: Accelerating Gemstone classification with Deep Learning. CoRR (2023)
Venkat Nemani, Luca Biggio, Xun Huan, Zhen Hu, Olga Fink, Anh Tran, Yan Wang, Xiaoping Du, Xiaoge Zhang, Chao Hu
Uncertainty Quantification in Machine Learning for Engineering Design and Health Prognostics: A Tutorial. CoRR (2023)
Dimitri von Rütte, Luca Biggio, Yannic Kilcher, Thomas Hofmann
FIGARO: Controllable Music Generation using Learned and Expert Features. ICLR (2023)
Sotiris Anagnostidis, Dario Pavllo, Luca Biggio, Lorenzo Noci, Aurélien Lucchi, Thomas Hofmann
Dynamic Context Pruning for Efficient and Interpretable Autoregressive Transformers. NeurIPS (2023)
Sotiris Anagnostidis, Arne Thomsen, Tomasz Kacprzak, Tilman Tröster, Luca Biggio, Alexandre Refregier, Thomas Hofmann
Cosmology from Galaxy Redshift Surveys with PointNet. CoRR (2022)
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 (2022)
Dimitri von Rütte, Luca Biggio, Yannic Kilcher, Thomas Hoffman
FIGARO: Generating Symbolic Music with Fine-Grained Artistic Control. CoRR (2022)
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)
Enea Monzio Compagnoni, Luca Biggio, Antonio Orvieto, Thomas Hofmann, Josef Teichmann
Randomized Signature Layers for Signal Extraction in Time Series Data. CoRR (2022)
Luca Biggio, Tommaso Bendinelli, Chetan S. Kulkarni, Olga Fink
Dynaformer: A Deep Learning Model for Ageing-aware Battery Discharge Prediction. CoRR (2022)
Luca Biggio, Alexander Wieland, Manuel Arias Chao, Iason Kastanis, Olga Fink
Uncertainty-aware Remaining Useful Life predictor. CoRR (2021)
Luca Biggio, Alexander Wieland, Manuel Arias Chao, Iason Kastanis, Olga Fink
Uncertainty-Aware Prognosis via Deep Gaussian Process. IEEE Access 9 (2021)
Luca Biggio, Tommaso Bendinelli, Alexander Neitz, Aurélien Lucchi, Giambattista Parascandolo
Neural Symbolic Regression that scales. ICML (2021)
Luca Biggio, Tommaso Bendinelli, Alexander Neitz, Aurélien Lucchi, Giambattista Parascandolo
Neural Symbolic Regression that Scales. CoRR (2021)
Luca Biggio, Iason Kastanis
Self-supervised pre-training on industrial time-series. SDS (2021)
Luca Biggio, Iason Kastanis
Prognostics and Health Management of Industrial Assets: Current Progress and Road Ahead. Frontiers Artif. Intell. 3 (2020)