Unsupervised Learning of Invariant Representations in Hierarchical Architectures. - Fabio Anselmi; Joel Z. Leibo; Lorenzo Rosasco; Jim Mutch; Andrea Tacchetti; Tomaso A. Poggio (CoRR, 2013)

On Invariance and Selectivity in Representation Learning. - Fabio Anselmi; Lorenzo Rosasco; Tomaso A. Poggio (CoRR, 2015)

Deep Convolutional Networks are Hierarchical Kernel Machines. - Fabio Anselmi; Lorenzo Rosasco; Cheston Tan; Tomaso A. Poggio (CoRR, 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)

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)

Unsupervised learning of invariant representations. - Fabio Anselmi; Joel Z. Leibo; Lorenzo Rosasco; Jim Mutch; Andrea Tacchetti; Tomaso A. Poggio (Theor. Comput. Sci., 2016)

Genuine Personality Recognition from Highly Constrained Face Images. - Fabio Anselmi; Nicoletta Noceti; Lorenzo Rosasco; Robert Ward (ICIAP (1), 2019)

A computational model for grid maps in neural populations. - Fabio Anselmi; Benedetta Franceschiello; Micah M. Murray; Lorenzo Rosasco (CoRR, 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; Micah M. Murray; Benedetta Franceschiello (J. Comput. Neurosci., 2020)

Representation Learning in Sensory Cortex: A Theory. - Fabio Anselmi; Tomaso A. Poggio (IEEE Access, 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)

Editorial: Symmetry as a guiding principle in artificial and brain neural networks. - Fabio Anselmi; Ankit B. Patel (Frontiers Comput. Neurosci., 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)

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)

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)

Relating Implicit Bias and Adversarial Attacks through Intrinsic Dimension. - Lorenzo Basile; Nikos Karantzas; Alberto d'Onofrio; Luca Bortolussi; Alex Rodriguez; Fabio Anselmi (CoRR, 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)

Robust deep learning object recognition models rely on low frequency information in natural images. - Zhe Li 002; Josue Ortega Caro; Evgenia Rusak; Wieland Brendel; Matthias Bethge; Fabio Anselmi; Ankit B. Patel; Andreas S. Tolias; Xaq Pitkow (PLoS Comput. Biol., 2023)

Generative abstraction of Markov population processes. - Francesca Cairoli; Fabio Anselmi; Alberto d'Onofrio; Luca Bortolussi (Theor. Comput. Sci., 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., 2023)

Editorial: Symmetry as a guiding principle in artificial and brain neural networks, volume II. - Fabio Anselmi; Ankit B. Patel (Frontiers Comput. Neurosci., 2024)

Translational symmetry in convolutions with localized kernels causes an implicit bias toward high frequency adversarial examples. - Josue Ortega Caro; Yilong Ju; Ryan Pyle; Sourav Dey; Wieland Brendel; Fabio Anselmi; Ankit B. Patel (Frontiers Comput. Neurosci., 2024)

Intrinsic Dimension Correlation: uncovering nonlinear connections in multimodal representations. - Lorenzo Basile; Santiago Acevedo; Luca Bortolussi; Fabio Anselmi; Alex Rodriguez (ICLR, 2025)

The Spectral Bias of Shallow Neural Network Learning is Shaped by the Choice of Non-linearity. - Justin Sahs; Ryan Pyle; Fabio Anselmi; Ankit B. Patel (CoRR, 2025)