Daniele Paliotta

According to our database1, Daniele Paliotta authored at least 11 papers between 2022 and 2025.

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

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

Leveraging the true depth of LLMs.
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 38: 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 38: 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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