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Alberto Bernacchia
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2020 – today
- 2024
- [c14]Sattar Vakili, Farhang Nabiei, Da-shan Shiu, Alberto Bernacchia:
Reward-Free Kernel-Based Reinforcement Learning. ICML 2024 - 2023
- [c13]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: 453-469 - [c12]Ushnish Sengupta, Chinkuo Jao, Alberto Bernacchia, Sattar Vakili, Da-shan Shiu:
Generative Diffusion Models for Radio Wireless Channel Modelling and Sampling. GLOBECOM 2023: 4779-4784 - [c11]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 - [c10]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: 7009-7024 - [c9]Sattar Vakili, Danyal Ahmed, Alberto Bernacchia, Ciara Pike-Burke:
Delayed Feedback in Kernel Bandits. ICML 2023: 34779-34792 - [c8]Sattar Vakili
, Michael Bromberg, Jezabel R. Garcia, Da-Shan Shiu, Alberto Bernacchia:
Information Gain and Uniform Generalization Bounds for Neural Kernel Models. ISIT 2023: 555-560 - [i14]Sattar Vakili, Danyal Ahmed, Alberto Bernacchia, Ciara Pike-Burke:
Delayed Feedback in Kernel Bandits. CoRR abs/2302.00392 (2023) - [i13]Sing-Yuan Yeh, Fu-Chieh Chang, Chang-Wei Yueh, Pei-Yuan Wu, Alberto Bernacchia, Sattar Vakili:
Sample Complexity of Kernel-Based Q-Learning. CoRR abs/2302.00727 (2023) - [i12]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 abs/2306.00501 (2023) - [i11]Ushnish Sengupta, Chinkuo Jao, Alberto Bernacchia, Sattar Vakili, Da-shan Shiu:
Generative Diffusion Models for Radio Wireless Channel Modelling and Sampling. CoRR abs/2308.05583 (2023) - [i10]Guoxuan Xia, Duolikun Danier, Ayan Das, Stathi Fotiadis, Farhang Nabiei, Ushnish Sengupta, Alberto Bernacchia:
Score Normalization for a Faster Diffusion Exponential Integrator Sampler. CoRR abs/2311.00157 (2023) - 2022
- [c7]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: 6394-6401 - [c6]Sattar Vakili, Jonathan Scarlett, Da-Shan Shiu, Alberto Bernacchia:
Improved Convergence Rates for Sparse Approximation Methods in Kernel-Based Learning. ICML 2022: 21960-21983 - [i9]Sattar Vakili, Jonathan Scarlett, Da-Shan Shiu, Alberto Bernacchia:
Improved Convergence Rates for Sparse Approximation Methods in Kernel-Based Learning. CoRR abs/2202.04005 (2022) - 2021
- [c5]Alberto Bernacchia:
Meta-learning with negative learning rates. ICLR 2021 - [c4]Sattar Vakili, Nacime Bouziani, Sepehr Jalali, Alberto Bernacchia, Da-Shan Shiu:
Optimal Order Simple Regret for Gaussian Process Bandits. NeurIPS 2021: 21202-21215 - [c3]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: 28067-28079 - [i8]Alberto Bernacchia:
Meta-learning with negative learning rates. CoRR abs/2102.00940 (2021) - [i7]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 abs/2103.04691 (2021) - [i6]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 abs/2103.08463 (2021) - [i5]Ta-Chu Kao, Kristopher T. Jensen, Alberto Bernacchia, Guillaume Hennequin:
Natural continual learning: success is a journey, not (just) a destination. CoRR abs/2106.08085 (2021) - [i4]Sattar Vakili, Nacime Bouziani
Optimal Order Simple Regret for Gaussian Process Bandits. CoRR abs/2108.09262 (2021) - [i3]Sattar Vakili, Michael Bromberg, Da-Shan Shiu, Alberto Bernacchia:
Uniform Generalization Bounds for Overparameterized Neural Networks. CoRR abs/2109.06099 (2021) - 2020
- [c2]Virginia Rutten, Alberto Bernacchia, Maneesh Sahani, Guillaume Hennequin:
Non-reversible Gaussian processes for identifying latent dynamical structure in neural data. NeurIPS 2020 - [i2]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 abs/2012.06462 (2020)
2010 – 2019
- 2018
- [c1]Alberto Bernacchia, Máté Lengyel, Guillaume Hennequin:
Exact natural gradient in deep linear networks and its application to the nonlinear case. NeurIPS 2018: 5945-5954 - 2013
- [j2]Alberto Bernacchia, Xiao-Jing Wang:
Decorrelation by Recurrent Inhibition in Heterogeneous Neural Circuits. Neural Comput. 25(7): 1732-1767 (2013) - 2012
- [j1]Adriano Barra, Alberto Bernacchia, Enrica Santucci, Pierluigi Contucci
On the equivalence of Hopfield networks and Boltzmann Machines. Neural Networks 34: 1-9 (2012) - 2011
- [i1]Adriano Barra, Alberto Bernacchia, Enrica Santucci, Pierluigi Contucci:
On the equivalence of Hopfield Networks and Restricted Boltzmann Machines. CoRR abs/1105.2790 (2011)
Coauthor Index
aka: Da-shan Shiu
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