Daniele Paliotta

According to our database1, Daniele Paliotta authored at least 11 papers between 2022 and 2026.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
Leveraging the True Depth of LLMs.
Trans. Mach. Learn. Res., 2026

2025
M1: Towards Scalable Test-Time Compute with Mamba Reasoning Models.
CoRR, April, 2025

Thinking Slow, Fast: Scaling Inference Compute with Distilled Reasoners.
CoRR, February, 2025

2024
Understanding and Minimising Outlier Features in Neural Network Training.
CoRR, 2024

The Mamba in the Llama: Distilling and Accelerating Hybrid Models.
Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

Understanding and Minimising Outlier Features in Transformer Training.
Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

2023
Faster Causal Attention Over Large Sequences Through Sparse Flash Attention.
CoRR, 2023

Graph Neural Networks Go Forward-Forward.
CoRR, 2023

SUPA: A Lightweight Diagnostic Simulator for Machine Learning in Particle Physics.
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.
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.
CoRR, 2022


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