Fabio Anselmi

According to our database, Fabio Anselmi authored at least 21 papers between 2013 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

A Bayesian method to infer copy number clones from single-cell RNA and ATAC sequencing.

Lucrezia Patruno, Salvatore Milite, Riccardo Bergamin, Nicola Calonaci, Alberto d'Onofrio, Fabio Anselmi, Marco Antoniotti, Alex Graudenzi, Giulio Caravagna

PLoS Comput. Biol., November, 2023

Generative abstraction of Markov population processes.

Francesca Cairoli, Fabio Anselmi, Alberto d'Onofrio, Luca Bortolussi

Theor. Comput. Sci., October, 2023

Robust deep learning object recognition models rely on low frequency information in natural images.

Zhe Li, Josue Ortega Caro, Evgenia Rusak, Wieland Brendel, Matthias Bethge, Fabio Anselmi, Ankit B. Patel, Andreas S. Tolias, Xaq Pitkow

PLoS Comput. Biol., March, 2023

Local Search, Semantics, and Genetic Programming: a Global Analysis.

Fabio Anselmi, Mauro Castelli, Alberto d'Onofrio, Luca Manzoni, Luca Mariot, Martina Saletta

CoRR, 2023

Relating Implicit Bias and Adversarial Attacks through Intrinsic Dimension.

Lorenzo Basile, Nikos Karantzas, Alberto d'Onofrio, Luca Bortolussi, Alex Rodriguez, Fabio Anselmi

CoRR, 2023

Data Symmetries and Learning in Fully Connected Neural Networks.

Fabio Anselmi, Luca Manzoni, Alberto d'Onofrio, Alex Rodriguez, Giulio Caravagna, Luca Bortolussi, Francesca Cairoli

IEEE Access, 2023

2022

Shallow Univariate ReLU Networks as Splines: Initialization, Loss Surface, Hessian, and Gradient Flow Dynamics.

Justin Sahs, Ryan Pyle, Aneel Damaraju, Josue Ortega Caro, Onur Tavaslioglu, Andy Lu, Fabio Anselmi, Ankit B. Patel

Frontiers Artif. Intell., 2022

Understanding Robustness and Generalization of Artificial Neural Networks Through Fourier Masks.

Nikos Karantzas, Emma Besier, Josue Ortega Caro, Xaq Pitkow, Andreas S. Tolias, Ankit B. Patel, Fabio Anselmi

Frontiers Artif. Intell., 2022

Editorial: Symmetry as a guiding principle in artificial and brain neural networks.

Fabio Anselmi, Ankit B. Patel

Frontiers Comput. Neurosci., 2022

Machine learning algorithms on eye tracking trajectories to classify patients with spatial neglect.

Benedetta Franceschiello, Tommaso Di Noto, Alexia Bourgeois, Micah M. Murray, Astrid Minier, Pierre Pouget, Jonas Richiardi, Paolo Bartolomeo, Fabio Anselmi

Comput. Methods Programs Biomed., 2022

Representation Learning in Sensory Cortex: A Theory.

Fabio Anselmi, Tomaso A. Poggio

IEEE Access, 2022

2020

A computational model for grid maps in neural populations.

Fabio Anselmi, Micah M. Murray, Benedetta Franceschiello

J. Comput. Neurosci., 2020

2019

Symmetry-adapted representation learning.

Fabio Anselmi, Georgios Evangelopoulos, Lorenzo Rosasco, Tomaso A. Poggio

Pattern Recognit., 2019

A computational model for grid maps in neural populations.

Fabio Anselmi, Benedetta Franceschiello, Micah M. Murray, Lorenzo Rosasco

CoRR, 2019

Genuine Personality Recognition from Highly Constrained Face Images.

Fabio Anselmi, Nicoletta Noceti, Lorenzo Rosasco, Robert Ward

Proceedings of the Image Analysis and Processing - ICIAP 2019, 2019

2016

Unsupervised learning of invariant representations.

Fabio Anselmi, Joel Z. Leibo, Lorenzo Rosasco, Jim Mutch, Andrea Tacchetti, Tomaso A. Poggio

Theor. Comput. Sci., 2016

View-tolerant face recognition and Hebbian learning imply mirror-symmetric neural tuning to head orientation.

Joel Z. Leibo, Qianli Liao, Winrich Freiwald, Fabio Anselmi, Tomaso A. Poggio

CoRR, 2016

2015

The Invariance Hypothesis Implies Domain-Specific Regions in Visual Cortex.

Joel Z. Leibo, Qianli Liao, Fabio Anselmi, Tomaso A. Poggio

PLoS Comput. Biol., 2015

Deep Convolutional Networks are Hierarchical Kernel Machines.

Fabio Anselmi, Lorenzo Rosasco, Cheston Tan, Tomaso A. Poggio

CoRR, 2015

On Invariance and Selectivity in Representation Learning.

Fabio Anselmi, Lorenzo Rosasco, Tomaso A. Poggio

CoRR, 2015

2013

Unsupervised Learning of Invariant Representations in Hierarchical Architectures.

Fabio Anselmi, Joel Z. Leibo, Lorenzo Rosasco, Jim Mutch, Andrea Tacchetti, Tomaso A. Poggio

CoRR, 2013