activity
20202026
most citedICML Topological Deep Learning Challenge 2024: Beyond the Graph Domain

2 citations · 2 across the 2 of their papers we have counts for

collaborators

7 papers

cs.AI2026

Modularity is the Bedrock of Natural and Artificial Intelligence

Alessandro Salatiello

The remarkable performance of modern AI systems has been driven by unprecedented scales of data, computation, and energy -- far exceeding the resources required by human intelligen…

q-bio.NC2026

From Modules to Movement: Deconstructing the Modular Architecture of the Motor System

Alessandro Salatiello

Coordinating multi-articulated bodies to generate purposeful movement is a formidable computational challenge. Yet the human motor system performs this task robustly in dynamic, un…

cs.LG2025

Hierarchical Time Series Forecasting Via Latent Mean Encoding

Alessandro Salatiello, Stefan Birr, Manuel Kunz

Coherently forecasting the behaviour of a target variable across both coarse and fine temporal scales is crucial for profit-optimized decision-making in several business applicatio…

q-bio.NC2025

Neural mechanisms of predictive processing: a collaborative community experiment through the OpenScope program

Ido Aizenbud, Nicholas Audette, Ryszard Auksztulewicz +50

This review synthesizes advances in predictive processing within the sensory cortex. Predictive processing theorizes that the brain continuously predicts sensory inputs, refining n…

cs.LG20242 cited

ICML Topological Deep Learning Challenge 2024: Beyond the Graph Domain

Guillermo Bernárdez, Lev Telyatnikov, Marco Montagna +70

This paper describes the 2nd edition of the ICML Topological Deep Learning Challenge that was hosted within the ICML 2024 ELLIS Workshop on Geometry-grounded Representation Learnin…

cs.RO2021

Continuous Decoding of Daily-Life Hand Movements from Forearm Muscle Activity for Enhanced Myoelectric Control of Hand Prostheses

Alessandro Salatiello, Martin A. Giese

State-of-the-art motorized hand prostheses are endowed with actuators able to provide independent and proportional control of as many as six degrees of freedom (DOFs). The control…