Daniele Paliotta
PhD student @ University of Geneva.
Hi 👋 ! My name is Daniele. I am PhD student in the Machine Learning Group at the University of Geneva, under the supervision of François Fleuret.
Currently, I am doing an internship researching efficient LLMs and transformer alternatives with Tri Dao at Together AI.
In a previous life, I have worked as a software engineer, I have done machine learning at Truelayer, and I have played in Capture the Flag competitions.
I am also a triathlete, an avid reader, and a guitar player. You can follow me on Twitter, or find me on Linkedin.
selected publications
- Graph Neural Networks Go Forward-Forward2023
- Fast Causal Attention with Dynamic Sparsity2023
- Faster Causal Attention Over Large Sequences Through Sparse Flash Attention2023
- SUPA: A Lightweight Diagnostic Simulator for Machine Learning in Particle Physics2022