Fabio Anselmi

Publication Activity (10 Years)

Years Active: 2013-2024
Publications (10 Years): 19

Top Topics

Invariant Representation

Hebbian Learning

Top Venues

PLoS Comput. Biol.

Frontiers Artif. Intell.

Theor. Comput. Sci.

Publications

Lorenzo Basile, Santiago Acevedo, Luca Bortolussi, Fabio Anselmi, Alex Rodriguez
Intrinsic Dimension Correlation: uncovering nonlinear connections in multimodal representations. CoRR (2024)
Lucrezia Patruno, Salvatore Milite, Riccardo Bergamin, Nicola Calonaci, Alberto d'Onofrio, Fabio Anselmi, Marco Antoniotti, Alex Graudenzi, Giulio Caravagna
A Bayesian method to infer copy number clones from single-cell RNA and ATAC sequencing. PLoS Comput. Biol. 19 (11) (2023)
Zhe Li, Josue Ortega Caro, Evgenia Rusak, Wieland Brendel, Matthias Bethge, Fabio Anselmi, Ankit B. Patel, Andreas S. Tolias, Xaq Pitkow
Robust deep learning object recognition models rely on low frequency information in natural images. PLoS Comput. Biol. 19 (3) (2023)
Fabio Anselmi, Luca Manzoni, Alberto d'Onofrio, Alex Rodriguez, Giulio Caravagna, Luca Bortolussi, Francesca Cairoli
Data Symmetries and Learning in Fully Connected Neural Networks. IEEE Access 11 (2023)
Lorenzo Basile, Nikos Karantzas, Alberto d'Onofrio, Luca Bortolussi, Alex Rodriguez, Fabio Anselmi
Relating Implicit Bias and Adversarial Attacks through Intrinsic Dimension. CoRR (2023)
Fabio Anselmi, Mauro Castelli, Alberto d'Onofrio, Luca Manzoni, Luca Mariot, Martina Saletta
Local Search, Semantics, and Genetic Programming: a Global Analysis. CoRR (2023)
Francesca Cairoli, Fabio Anselmi, Alberto d'Onofrio, Luca Bortolussi
Generative abstraction of Markov population processes. Theor. Comput. Sci. 977 (2023)
Benedetta Franceschiello, Tommaso Di Noto, Alexia Bourgeois, Micah M. Murray, Astrid Minier, Pierre Pouget, Jonas Richiardi, Paolo Bartolomeo, Fabio Anselmi
Machine learning algorithms on eye tracking trajectories to classify patients with spatial neglect. Comput. Methods Programs Biomed. 221 (2022)
Nikos Karantzas, Emma Besier, Josue Ortega Caro, Xaq Pitkow, Andreas S. Tolias, Ankit B. Patel, Fabio Anselmi
Understanding robustness and generalization of artificial neural networks through Fourier masks. CoRR (2022)
Fabio Anselmi, Tomaso A. Poggio
Representation Learning in Sensory Cortex: A Theory. IEEE Access 10 (2022)
Nikos Karantzas, Emma Besier, Josue Ortega Caro, Xaq Pitkow, Andreas S. Tolias, Ankit B. Patel, Fabio Anselmi
Understanding Robustness and Generalization of Artificial Neural Networks Through Fourier Masks. Frontiers Artif. Intell. 5 (2022)
Fabio Anselmi, Ankit B. Patel
Editorial: Symmetry as a guiding principle in artificial and brain neural networks. Frontiers Comput. Neurosci. 16 (2022)
Justin Sahs, Ryan Pyle, Aneel Damaraju, Josue Ortega Caro, Onur Tavaslioglu, Andy Lu, Fabio Anselmi, Ankit B. Patel
Shallow Univariate ReLU Networks as Splines: Initialization, Loss Surface, Hessian, and Gradient Flow Dynamics. Frontiers Artif. Intell. 5 (2022)
Fabio Anselmi, Micah M. Murray, Benedetta Franceschiello
A computational model for grid maps in neural populations. J. Comput. Neurosci. 48 (2) (2020)
Fabio Anselmi, Georgios Evangelopoulos, Lorenzo Rosasco, Tomaso A. Poggio
Symmetry-adapted representation learning. Pattern Recognit. 86 (2019)
Fabio Anselmi, Benedetta Franceschiello, Micah M. Murray, Lorenzo Rosasco
A computational model for grid maps in neural populations. CoRR (2019)
Fabio Anselmi, Nicoletta Noceti, Lorenzo Rosasco, Robert Ward
Genuine Personality Recognition from Highly Constrained Face Images. ICIAP (1) (2019)
Joel Z. Leibo, Qianli Liao, Winrich Freiwald, Fabio Anselmi, Tomaso A. Poggio
View-tolerant face recognition and Hebbian learning imply mirror-symmetric neural tuning to head orientation. CoRR (2016)
Fabio Anselmi, Joel Z. Leibo, Lorenzo Rosasco, Jim Mutch, Andrea Tacchetti, Tomaso A. Poggio
Unsupervised learning of invariant representations. Theor. Comput. Sci. 633 (2016)
Fabio Anselmi, Lorenzo Rosasco, Tomaso A. Poggio
On Invariance and Selectivity in Representation Learning. CoRR (2015)
Joel Z. Leibo, Qianli Liao, Fabio Anselmi, Tomaso A. Poggio
The Invariance Hypothesis Implies Domain-Specific Regions in Visual Cortex. PLoS Comput. Biol. 11 (10) (2015)
Fabio Anselmi, Lorenzo Rosasco, Cheston Tan, Tomaso A. Poggio
Deep Convolutional Networks are Hierarchical Kernel Machines. CoRR (2015)
Fabio Anselmi, Joel Z. Leibo, Lorenzo Rosasco, Jim Mutch, Andrea Tacchetti, Tomaso A. Poggio
Unsupervised Learning of Invariant Representations in Hierarchical Architectures. CoRR (2013)