Alberto Bernacchia

Publication Activity (10 Years)

Years Active: 2011-2023
Publications (10 Years): 26

Top Topics

Gaussian Process

Image Generation

Delayed Feedback

Generalization Bounds

Top Venues

Publications

Ushnish Sengupta, Chinkuo Jao, Alberto Bernacchia, Sattar Vakili, Da-shan Shiu
Generative Diffusion Models for Radio Wireless Channel Modelling and Sampling. GLOBECOM (2023)
Sattar Vakili, Michael Bromberg, Jezabel R. Garcia, Da-Shan Shiu, Alberto Bernacchia
Information Gain and Uniform Generalization Bounds for Neural Kernel Models. ISIT (2023)
Sing-Yuan Yeh, Fu-Chieh Chang, Chang-Wei Yueh, Pei-Yuan Wu, Alberto Bernacchia, Sattar Vakili
Sample Complexity of Kernel-Based Q-Learning. AISTATS (2023)
Jezabel R. Garcia, Federica Freddi, Stathi Fotiadis, Maolin Li, Sattar Vakili, Alberto Bernacchia, Guillaume Hennequin
Fisher-Legendre (FishLeg) optimization of deep neural networks. ICLR (2023)
Ushnish Sengupta, Chinkuo Jao, Alberto Bernacchia, Sattar Vakili, Da-shan Shiu
Generative Diffusion Models for Radio Wireless Channel Modelling and Sampling. CoRR (2023)
Sing-Yuan Yeh, Fu-Chieh Chang, Chang-Wei Yueh, Pei-Yuan Wu, Alberto Bernacchia, Sattar Vakili
Sample Complexity of Kernel-Based Q-Learning. CoRR (2023)
Guoxuan Xia, Duolikun Danier, Ayan Das, Stathi Fotiadis, Farhang Nabiei, Ushnish Sengupta, Alberto Bernacchia
Score Normalization for a Faster Diffusion Exponential Integrator Sampler. CoRR (2023)
Ayan Das, Stathi Fotiadis, Anil Batra, Farhang Nabiei, Fengting Liao, Sattar Vakili, Da-Shan Shiu, Alberto Bernacchia
Image generation with shortest path diffusion. ICML (2023)
Sattar Vakili, Danyal Ahmed, Alberto Bernacchia, Ciara Pike-Burke
Delayed Feedback in Kernel Bandits. ICML (2023)
Ayan Das, Stathi Fotiadis, Anil Batra, Farhang Nabiei, Feng-Ting Liao, Sattar Vakili, Da-shan Shiu, Alberto Bernacchia
Image generation with shortest path diffusion. CoRR (2023)
Sattar Vakili, Danyal Ahmed, Alberto Bernacchia, Ciara Pike-Burke
Delayed Feedback in Kernel Bandits. CoRR (2023)
Alexandru Cioba, Michael Bromberg, Qian Wang, Ritwik Niyogi, Georgios Batzolis, Jezabel R. Garcia, Da-Shan Shiu, Alberto Bernacchia
How to Distribute Data across Tasks for Meta-Learning? AAAI (2022)
Sattar Vakili, Jonathan Scarlett, Da-shan Shiu, Alberto Bernacchia
Improved Convergence Rates for Sparse Approximation Methods in Kernel-Based Learning. CoRR (2022)
Sattar Vakili, Jonathan Scarlett, Da-Shan Shiu, Alberto Bernacchia
Improved Convergence Rates for Sparse Approximation Methods in Kernel-Based Learning. ICML (2022)
Ta-Chu Kao, Kristopher T. Jensen, Gido van de Ven, Alberto Bernacchia, Guillaume Hennequin
Natural continual learning: success is a journey, not (just) a destination. NeurIPS (2021)
Alberto Bernacchia
Meta-learning with negative learning rates. ICLR (2021)
Jezabel R. Garcia, Federica Freddi, Feng-Ting Liao, Jamie McGowan, Tim Nieradzik, Da-Shan Shiu, Ye Tian, Alberto Bernacchia
Meta-Learning with MAML on Trees. CoRR (2021)
Sattar Vakili, Nacime Bouziani, Sepehr Jalali, Alberto Bernacchia, Da-Shan Shiu
Optimal Order Simple Regret for Gaussian Process Bandits. NeurIPS (2021)
Sattar Vakili, Michael Bromberg, Da-shan Shiu, Alberto Bernacchia
Uniform Generalization Bounds for Overparameterized Neural Networks. CoRR (2021)
Alexandru Cioba, Michael Bromberg, Qian Wang, Ritwik Niyogi, Georgios Batzolis, Da-Shan Shiu, Alberto Bernacchia
How to distribute data across tasks for meta-learning? CoRR (2021)
Ta-Chu Kao, Kristopher T. Jensen, Alberto Bernacchia, Guillaume Hennequin
Natural continual learning: success is a journey, not (just) a destination. CoRR (2021)
Sattar Vakili, Nacime Bouziani, Sepehr Jalali, Alberto Bernacchia, Da-Shan Shiu
Optimal Order Simple Regret for Gaussian Process Bandits. CoRR (2021)
Alberto Bernacchia
Meta-learning with negative learning rates. CoRR (2021)
Virginia Rutten, Alberto Bernacchia, Maneesh Sahani, Guillaume Hennequin
Non-reversible Gaussian processes for identifying latent dynamical structure in neural data. NeurIPS (2020)
Federica Freddi, Jezabel R. Garcia, Michael Bromberg, Sepehr Jalali, Da-Shan Shiu, Alvin Chua, Alberto Bernacchia
Cyclic orthogonal convolutions for long-range integration of features. CoRR (2020)
Alberto Bernacchia, Máté Lengyel, Guillaume Hennequin
Exact natural gradient in deep linear networks and its application to the nonlinear case. NeurIPS (2018)
Alberto Bernacchia, Xiao-Jing Wang
Decorrelation by Recurrent Inhibition in Heterogeneous Neural Circuits. Neural Comput. 25 (7) (2013)
Adriano Barra, Alberto Bernacchia, Enrica Santucci, Pierluigi Contucci
On the equivalence of Hopfield networks and Boltzmann Machines. Neural Networks 34 (2012)
Adriano Barra, Alberto Bernacchia, Enrica Santucci, Pierluigi Contucci
On the equivalence of Hopfield Networks and Restricted Boltzmann Machines CoRR (2011)