Fabio Anselmi

34 papers A* 1B 1Journal 30Unranked 1
YearRankTypeTitle / Venue / Authors
2026 J jnl
Implicit bias as a Gauge correction: Theory and Inverse Design.
CoRR
Nicola Aladrah, Emanuele Ballarin, Matteo Biagetti, Alessio Ansuini, Alberto d'Onofrio, Fabio Anselmi
2026 J jnl
Local search, semantics, and genetic programming: a global analysis.
Soft Comput.
Fabio Anselmi, Mauro Castelli, Alberto d'Onofrio, Luca Manzoni, Luca Mariot, Martina Saletta
2026 J jnl
The Interplay Between Non-Instantaneous Dynamics of mRNA and Bounded Extrinsic Stochastic Perturbations for a Self-Enhancing Transcription Factor.
Entropy
Lorenzo Cabriel, Giulio Caravagna, Sebastiano de Franciscis, Fabio Anselmi, Alberto d'Onofrio
2025 J jnl
Driving enhanced exciton transfer by automatic differentiation.
Mach. Learn. Sci. Technol.
Emanuele Ballarin, Diana A. Chisholm, Andrea Smirne, M. Paternostro, Fabio Anselmi, S. Donadi
2025 B conf
Frequency maps reveal the correlation between Adversarial Attacks and Implicit Bias.
IJCNN
Lorenzo Basile, Nikos Karantzas, Alberto d'Onofrio, Luca Manzoni, Luca Bortolussi, Alex Rodriguez, Fabio Anselmi
2025 J jnl
Increasing the quantum tunneling probability through a learned ancilla-assisted protocol.
Quantum Mach. Intell.
Renzo Testa, Alejandro Rodriguez-Garcia, Alberto d'Onofrio, Andrea Trombettoni, Fabio Benatti, Fabio Anselmi
2025 A* conf
Intrinsic Dimension Correlation: uncovering nonlinear connections in multimodal representations.
ICLR
Lorenzo Basile, Santiago Acevedo, Luca Bortolussi, Fabio Anselmi, Alex Rodriguez
2025 — ed.
Joint Proceedings of the Thematic Workshops at Ital-IA 2025 colocated with the 5th National Conference on Artificial Intelligence, organized by CINI (Ital-IA 2025), Trieste, Italy, June 23-24, 2025.
Ital-IA
Luca Manzoni, Luca Bortolussi, Giulia Cisotto, Fabio Anselmi
2025 J jnl
The Spectral Bias of Shallow Neural Network Learning is Shaped by the Choice of Non-linearity.
CoRR
Justin Sahs, Ryan Pyle, Fabio Anselmi, Ankit B. Patel
2024 J jnl
Editorial: Symmetry as a guiding principle in artificial and brain neural networks, volume II.
Frontiers Comput. Neurosci.
Fabio Anselmi, Ankit B. Patel
2024 J jnl
Intrinsic Dimension Correlation: uncovering nonlinear connections in multimodal representations.
CoRR
Lorenzo Basile, Santiago Acevedo, Luca Bortolussi, Fabio Anselmi, Alex Rodriguez
2024 J jnl
Translational symmetry in convolutions with localized kernels causes an implicit bias toward high frequency adversarial examples.
Frontiers Comput. Neurosci.
Josue Ortega Caro, Yilong Ju, Ryan Pyle, Sourav Dey, Wieland Brendel, Fabio Anselmi, Ankit B. Patel
2023 J jnl
A Bayesian method to infer copy number clones from single-cell RNA and ATAC sequencing.
PLoS Comput. Biol.
Lucrezia Patruno, Salvatore Milite, Riccardo Bergamin, Nicola Calonaci, Alberto d'Onofrio, Fabio Anselmi, Marco Antoniotti, Alex Graudenzi, Giulio Caravagna
2023 J jnl
Data Symmetries and Learning in Fully Connected Neural Networks.
IEEE Access
Fabio Anselmi, Luca Manzoni, Alberto d'Onofrio, Alex Rodriguez, Giulio Caravagna, Luca Bortolussi, Francesca Cairoli
2023 J jnl
Generative abstraction of Markov population processes.
Theor. Comput. Sci.
Francesca Cairoli, Fabio Anselmi, Alberto d'Onofrio, Luca Bortolussi
2023 J jnl
Local Search, Semantics, and Genetic Programming: a Global Analysis.
CoRR
Fabio Anselmi, Mauro Castelli, Alberto d'Onofrio, Luca Manzoni, Luca Mariot, Martina Saletta
2023 J jnl
Relating Implicit Bias and Adversarial Attacks through Intrinsic Dimension.
CoRR
Lorenzo Basile, Nikos Karantzas, Alberto d'Onofrio, Luca Bortolussi, Alex Rodriguez, Fabio Anselmi
2023 J jnl
Robust deep learning object recognition models rely on low frequency information in natural images.
PLoS Comput. Biol.
Zhe Li, Josue Ortega Caro, Evgenia Rusak, Wieland Brendel, Matthias Bethge, Fabio Anselmi, Ankit B. Patel, Andreas S. Tolias, Xaq Pitkow
2022 J jnl
Editorial: Symmetry as a guiding principle in artificial and brain neural networks.
Frontiers Comput. Neurosci.
Fabio Anselmi, Ankit B. Patel
2022 J jnl
Machine learning algorithms on eye tracking trajectories to classify patients with spatial neglect.
Comput. Methods Programs Biomed.
Benedetta Franceschiello, Tommaso Di Noto, Alexia Bourgeois, Micah M. Murray, Astrid Minier, Pierre Pouget, Jonas Richiardi, Paolo Bartolomeo, Fabio Anselmi
2022 J jnl
Representation Learning in Sensory Cortex: A Theory.
IEEE Access
Fabio Anselmi, Tomaso A. Poggio
2022 J jnl
Shallow Univariate ReLU Networks as Splines: Initialization, Loss Surface, Hessian, and Gradient Flow Dynamics.
Frontiers Artif. Intell.
Justin Sahs, Ryan Pyle, Aneel Damaraju, Josue Ortega Caro, Onur Tavaslioglu, Andy Lu, Fabio Anselmi, Ankit B. Patel
2022 J jnl
Understanding Robustness and Generalization of Artificial Neural Networks Through Fourier Masks.
Frontiers Artif. Intell.
Nikos Karantzas, Emma Besier, Josue Ortega Caro, Xaq Pitkow, Andreas S. Tolias, Ankit B. Patel, Fabio Anselmi
2022 J jnl
Understanding robustness and generalization of artificial neural networks through Fourier masks.
CoRR
Nikos Karantzas, Emma Besier, Josue Ortega Caro, Xaq Pitkow, Andreas S. Tolias, Ankit B. Patel, Fabio Anselmi
2020 J jnl
A computational model for grid maps in neural populations.
J. Comput. Neurosci.
Fabio Anselmi, Micah M. Murray, Benedetta Franceschiello
2019 J jnl
A computational model for grid maps in neural populations.
CoRR
Fabio Anselmi, Benedetta Franceschiello, Micah M. Murray, Lorenzo Rosasco
2019 — conf
Genuine Personality Recognition from Highly Constrained Face Images.
ICIAP (1)
Fabio Anselmi, Nicoletta Noceti, Lorenzo Rosasco, Robert Ward
2019 J jnl
Symmetry-adapted representation learning.
Pattern Recognit.
Fabio Anselmi, Georgios Evangelopoulos, Lorenzo Rosasco, Tomaso A. Poggio
2016 J jnl
Unsupervised learning of invariant representations.
Theor. Comput. Sci.
Fabio Anselmi, Joel Z. Leibo, Lorenzo Rosasco, Jim Mutch, Andrea Tacchetti, Tomaso A. Poggio
2016 J jnl
View-tolerant face recognition and Hebbian learning imply mirror-symmetric neural tuning to head orientation.
CoRR
Joel Z. Leibo, Qianli Liao, Winrich Freiwald, Fabio Anselmi, Tomaso A. Poggio
2015 J jnl
Deep Convolutional Networks are Hierarchical Kernel Machines.
CoRR
Fabio Anselmi, Lorenzo Rosasco, Cheston Tan, Tomaso A. Poggio
2015 J jnl
On Invariance and Selectivity in Representation Learning.
CoRR
Fabio Anselmi, Lorenzo Rosasco, Tomaso A. Poggio
2015 J jnl
The Invariance Hypothesis Implies Domain-Specific Regions in Visual Cortex.
PLoS Comput. Biol.
Joel Z. Leibo, Qianli Liao, Fabio Anselmi, Tomaso A. Poggio
2013 J jnl
Unsupervised Learning of Invariant Representations in Hierarchical Architectures.
CoRR
Fabio Anselmi, Joel Z. Leibo, Lorenzo Rosasco, Jim Mutch, Andrea Tacchetti, Tomaso A. Poggio