Paliotta, Daniele

12 publications

TMLR 2026 Leveraging the True Depth of LLMs Ramón Calvo González, Daniele Paliotta, Matteo Pagliardini, Martin Jaggi, François Fleuret

ICLRW 2025 Leveraging the True Depth of LLMs Ramón Calvo González, Daniele Paliotta, Matteo Pagliardini, Martin Jaggi, François Fleuret

ICLRW 2025 Thinking Slow, Fast: Scaling Inference Compute with Distilled Reasoners Daniele Paliotta, Junxiong Wang, Matteo Pagliardini, Kevin Li, Aviv Bick, Albert Gu, François Fleuret, Tri Dao

NeurIPS 2024 The Mamba in the Llama: Distilling and Accelerating Hybrid Models Junxiong Wang, Daniele Paliotta, Avner May, Alexander M. Rush, Tri Dao

ICMLW 2024 The Mamba in the Llama: Distilling and Accelerating Hybrid Models Junxiong Wang, Daniele Paliotta, Avner May, Alexander M Rush, Tri Dao

ICMLW 2024 Understanding and Minimising Outlier Features in Neural Network Training Bobby He, Lorenzo Noci, Daniele Paliotta, Imanol Schlag, Thomas Hofmann

ICMLW 2024 Understanding and Minimising Outlier Features in Neural Network Training Bobby He, Lorenzo Noci, Daniele Paliotta, Imanol Schlag, Thomas Hofmann

NeurIPS 2024 Understanding and Minimising Outlier Features in Transformer Training Bobby He, Lorenzo Noci, Daniele Paliotta, Imanol Schlag, Thomas Hofmann

NeurIPS 2023 Fast Attention over Long Sequences with Dynamic Sparse Flash Attention Matteo Pagliardini, Daniele Paliotta, Martin Jaggi, François Fleuret

ICMLW 2023 Fast Causal Attention with Dynamic Sparsity Daniele Paliotta, Matteo Pagliardini, Martin Jaggi, François Fleuret

NeurIPSW 2023 Graph Neural Networks Go Forward-Forward Daniele Paliotta, Mathieu Alain, Bálint Máté, François Fleuret

NeurIPS 2023 SUPA: A Lightweight Diagnostic Simulator for Machine Learning in Particle Physics Atul Kumar Sinha, Daniele Paliotta, Bálint Máté, John Raine, Tobias Golling, François Fleuret