Alberto Bernacchia

Neuroscience · Life Sciences

13h-index3.0kcitations57works0.02yr avg
OpenAlex↗Google Scholar↗

Accepting Students?

No reports yet. Know if this professor is taking students?

Research Topics

Neural dynamics and brain function(21), Domain Adaptation and Few-Shot Learning(9), Neural Networks and Applications(8), Machine Learning and Data Classification(7), Neural and Behavioral Psychology Studies(5)

Publications57 total

Reinforcement Learning Using known Invariances
arXiv (Cornell University)·2025Open Access
Bayesian Optimization from Human Feedback: Near-Optimal Regret Bounds
arXiv (Cornell University)·2025Open Access
Near-Optimal Sample Complexity in Reward-Free Kernel-Based Reinforcement Learning
arXiv (Cornell University)·2025Open Access
Efficient Model Compression Techniques with FishLeg
arXiv (Cornell University)·2024Open Access
Exact, Tractable Gauss-Newton Optimization in Deep Reversible Architectures Reveal Poor Generalization
arXiv (Cornell University)·2024Open Access
Exact, Tractable Gauss-Newton Optimization in Deep Reversible Architectures Reveal Poor Generalization
2024
Generative Diffusion Models for Radio Wireless Channel Modelling and Sampling
2023· 12 cited
Score Normalization for a Faster Diffusion Exponential Integrator Sampler
2023Open Access
Generative Diffusion Models for Radio Wireless Channel Modelling and Sampling
arXiv (Cornell University)·2023Open Access
Information Gain and Uniform Generalization Bounds for Neural Kernel Models
2023· 1 cited
Image generation with shortest path diffusion
arXiv (Cornell University)·2023Open Access
Sample Complexity of Kernel-Based Q-Learning
arXiv (Cornell University)·2023Open Access
Delayed Feedback in Kernel Bandits
arXiv (Cornell University)·2023Open Access
Hierarchical Representations in Dense Passage Retrieval for Question-Answering
2023· 1 citedOpen Access
How to Distribute Data across Tasks for Meta-Learning?
Proceedings of the AAAI Conference on Artificial Intelligence·2022· 9 citedOpen Access
Adaptive erasure of spurious sequences in sensory cortical circuits
Neuron·2022· 7 citedOpen Access
Data for computing sequentiality
Zenodo (CERN European Organization for Nuclear Research)·2022Open Access
Data for computing sequentiality
2022Open Access
Improved Convergence Rates for Sparse Approximation Methods in Kernel-Based Learning
arXiv (Cornell University)·2022· 2 citedOpen Access
Uniform Generalization Bounds for Overparameterized Neural Networks
arXiv (Cornell University)·2021Open Access
page 1 of 3Next →

Frequent Co-authors

Da-shan Shiu(11), Xiao‐Jing Wang(8), Guillaume Hennequin(8), Sattar Vakili(8), Jezabel Garcia(8), Jamie McGowan(6), Da-shan Shiu(5), Michael Bromberg(5), Federica Freddi(5), John D. Murray(4), Rishidev Chaudhuri(3), Ushnish Sengupta(3), Alexandru Cioba(3), Georgios Batzolis(3), Tim Nieradzik(3), Alexandru Cioba(3), Ranulfo Romo(2), Hyojung Seo(2), Daeyeol Lee(2), Joshua B. Burt(2)