Fabio Anselmi

Scuola Internazionale Superiore di Studi Avanzati — Italy

Neuroscience · Life Sciences

21h-index1.7kcitations76works1.32yr avg
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Research Topics

Neural dynamics and brain function(13), Neural Networks and Applications(12), Visual perception and processing mechanisms(8), Face Recognition and Perception(8), Adversarial Robustness in Machine Learning(7)

Publications76 total

Decoherence Cancellation through Noise Interference
Physical Review Letters·2026Open Access
Data-Informed Inversion Model (DIIM): a framework to retrieve marine optical constituents using a three-stream irradiance model
Geoscientific model development·2025Open Access
Increasing the quantum tunneling probability through a learned ancilla-assisted protocol
Quantum Machine Intelligence·2025Open Access
Frequency maps reveal the correlation between Adversarial Attacks and Implicit Bias
2025
Driving enhanced exciton transfer by automatic differentiation
Machine Learning Science and Technology·2025· 1 citedOpen Access
The Spectral Bias of Shallow Neural Network Learning is Shaped by the Choice of Non-linearity
arXiv (Cornell University)·2025Open Access
Interpreting convolutional neural networks' low-dimensional approximation to quantum spin systems
Physical Review Research·2025Open Access
Editorial: Symmetry as a guiding principle in artificial and brain neural networks, volume II
Frontiers in Computational Neuroscience·2024· 1 citedOpen Access
Data-Informed Inversion Model (DIIM): a framework to retrieve marine optical constituents in the BOUSSOLE site using a three-stream irradiance model
2024Open Access
Intrinsic Dimension Correlation: uncovering nonlinear connections in multimodal representations
arXiv (Cornell University)·2024· 1 citedOpen Access
Translational symmetry in convolutions with localized kernels causes an implicit bias toward high frequency adversarial examples
Frontiers in Computational Neuroscience·2024· 2 citedOpen Access
Computational validation of clonal and subclonal copy number alterations from bulk tumor sequencing using CNAqc
Genome biology·2024· 11 citedOpen Access
A Bayesian method to infer copy number clones from single-cell RNA and ATAC sequencing
PLoS Computational Biology·2023· 4 citedOpen Access
Machine Learning Catalysis of Quantum Tunneling
arXiv (Cornell University)·2023Open Access
Generative abstraction of Markov population processes
Theoretical Computer Science·2023· 3 cited
Catalysis of quantum tunneling by ancillary system learning
arXiv (Cornell University)·2023Open Access
Local Search, Semantics, and Genetic Programming: a Global Analysis
arXiv (Cornell University)·2023Open Access
Frequency maps reveal the correlation between Adversarial Attacks and Implicit Bias
arXiv (Cornell University)·2023Open Access
A Bayesian method to infer copy number clones from single-cell RNA and ATAC sequencing
2023· 3 citedOpen Access
Robust deep learning object recognition models rely on low frequency information in natural images
PLoS Computational Biology·2023· 23 citedOpen Access
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Frequent Co-authors

Tomaso Poggio(17), Lorenzo Rosasco(14), Joel Z. Leibo(8), Fabio Mammano(6), Ankit Patel(6), Alberto d’Onofrio(6), Jim Mutch(5), Andrea Tacchetti(5), Wieland Brendel(5), Giulio Caravagna(5), Giulia Crispino(4), Josue Ortega(4), Riccardo Bergamin(4), Nicola Calonaci(4), Salvatore Milite(4), Ryan Pyle(4), Saida Ortolano(3), Howard M. Wiseman(3), Mario Bortolozzi(3), Antonella Viola(3)