2 citations · 2 across the 2 of their papers we have counts for
8 papers · 1 filter
Mixture-of-Experts Graph Transformers for Interpretable Particle Collision Detection
Donatella Genovese, Alessandro Sgroi, Alessio Devoto +6
The Large Hadron Collider at CERN produces immense volumes of complex data from high-energy particle collisions, demanding sophisticated analytical techniques for effective interpr…
Universal Properties of Activation Sparsity in Modern Large Language Models
Filip Szatkowski, Patryk BÄdkowski, Alessio Devoto +5
Activation sparsity is an intriguing property of deep neural networks that has been extensively studied in ReLU-based models, due to its advantages for efficiency, robustness, and…
Adaptive Semantic Token Communication for Transformer-based Edge Inference
Alessio Devoto, Jary Pomponi, Mattia Merluzzi +2
This paper presents an adaptive framework for edge inference based on a dynamically configurable transformer-powered deep joint source channel coding (DJSCC) architecture. Motivate…
Goal-oriented Communications based on Recursive Early Exit Neural Networks
Jary Pomponi, Mattia Merluzzi, Alessio Devoto +3
This paper presents a novel framework for goal-oriented semantic communications leveraging recursive early exit models. The proposed approach is built on two key components. First,…
Adaptive Computation Modules: Granular Conditional Computation For Efficient Inference
Bartosz Wójcik, Alessio Devoto, Karol Pustelnik +2
While transformer models have been highly successful, they are computationally inefficient. We observe that for each layer, the full width of the layer may be needed only for a sma…
Enhancing High-Energy Particle Physics Collision Analysis through Graph Data Attribution Techniques
A. Verdone, A. Devoto, C. Sebastiani +5
The experiments at the Large Hadron Collider at CERN generate vast amounts of complex data from high-energy particle collisions. This data presents significant challenges due to it…