Daniele Paliotta

According to our database, Daniele Paliotta authored at least 6 papers between 2022 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Understanding and Minimising Outlier Features in Neural Network Training.

Bobby He, Lorenzo Noci, Daniele Paliotta, Imanol Schlag, Thomas Hofmann

CoRR, 2024

2023

Faster Causal Attention Over Large Sequences Through Sparse Flash Attention.

Matteo Pagliardini, Daniele Paliotta, Martin Jaggi, François Fleuret

CoRR, 2023

Graph Neural Networks Go Forward-Forward.

Daniele Paliotta, Mathieu Alain, Bálint Máté, François Fleuret

CoRR, 2023

SUPA: A Lightweight Diagnostic Simulator for Machine Learning in Particle Physics.

Atul Kumar Sinha, Daniele Paliotta, Bálint Máté, John A. Raine, Tobias Golling, François Fleuret

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Fast Attention Over Long Sequences With Dynamic Sparse Flash Attention.

Matteo Pagliardini, Daniele Paliotta, Martin Jaggi, François Fleuret

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022

SUPA: A Lightweight Diagnostic Simulator for Machine Learning in Particle Physics.

Atul Kumar Sinha, Daniele Paliotta, Bálint Máté, Sebastian Pina-Otey, John A. Raine, Tobias Golling, François Fleuret

CoRR, 2022