Daniele Paliotta

13 papers A* 4Journal 9
YearRankTypeTitle / Venue / Authors
2026 J jnl
Leveraging the True Depth of LLMs.
Trans. Mach. Learn. Res.
Ramón Calvo González, Daniele Paliotta, Matteo Pagliardini, Martin Jaggi, François Fleuret
2025 J jnl
Leveraging the true depth of LLMs.
CoRR
Ramón Calvo González, Daniele Paliotta, Matteo Pagliardini, Martin Jaggi, François Fleuret
2025 J jnl
M1: Towards Scalable Test-Time Compute with Mamba Reasoning Models.
CoRR
Junxiong Wang, Wen-Ding Li, Daniele Paliotta, Daniel Ritter, Alexander M. Rush, Tri Dao
2025 J jnl
Thinking Slow, Fast: Scaling Inference Compute with Distilled Reasoners.
CoRR
Daniele Paliotta, Junxiong Wang, Matteo Pagliardini, Kevin Y. Li, Aviv Bick, J. Zico Kolter, Albert Gu, François Fleuret, Tri Dao
2024 A* conf
The Mamba in the Llama: Distilling and Accelerating Hybrid Models.
NeurIPS
Junxiong Wang, Daniele Paliotta, Avner May, Alexander M. Rush, Tri Dao
2024 J jnl
The Mamba in the Llama: Distilling and Accelerating Hybrid Models.
CoRR
Junxiong Wang, Daniele Paliotta, Avner May, Alexander M. Rush, Tri Dao
2024 J jnl
Understanding and Minimising Outlier Features in Neural Network Training.
CoRR
Bobby He, Lorenzo Noci, Daniele Paliotta, Imanol Schlag, Thomas Hofmann
2024 A* conf
Understanding and Minimising Outlier Features in Transformer Training.
NeurIPS
Bobby He, Lorenzo Noci, Daniele Paliotta, Imanol Schlag, Thomas Hofmann
2023 A* conf
Fast Attention Over Long Sequences With Dynamic Sparse Flash Attention.
NeurIPS
Matteo Pagliardini, Daniele Paliotta, Martin Jaggi, François Fleuret
2023 J jnl
Faster Causal Attention Over Large Sequences Through Sparse Flash Attention.
CoRR
Matteo Pagliardini, Daniele Paliotta, Martin Jaggi, François Fleuret
2023 J jnl
Graph Neural Networks Go Forward-Forward.
CoRR
Daniele Paliotta, Mathieu Alain, Bálint Máté, François Fleuret
2023 A* conf
SUPA: A Lightweight Diagnostic Simulator for Machine Learning in Particle Physics.
NeurIPS
Atul Kumar Sinha, Daniele Paliotta, Bálint Máté, John A. Raine, Tobias Golling, François Fleuret
2022 J jnl
SUPA: A Lightweight Diagnostic Simulator for Machine Learning in Particle Physics.
CoRR
Atul Kumar Sinha, Daniele Paliotta, Bálint Máté, Sebastian Pina-Otey, John A. Raine, Tobias Golling, François Fleuret