Alberto Bernacchia

According to our database¹, Alberto Bernacchia authored at least 23 papers between 2011 and 2024.

Collaborative distances:

Dijkstra number² of five.
Erdős number³ of four.

Timeline

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On csauthors.net:

Bibliography

2024

Reward-Free Kernel-Based Reinforcement Learning.

[BibT_eX]

[DOI]

Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023

Score Normalization for a Faster Diffusion Exponential Integrator Sampler.

[BibT_eX]

[DOI]

CoRR, 2023

Information Gain and Uniform Generalization Bounds for Neural Kernel Models.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Symposium on Information Theory, 2023

Delayed Feedback in Kernel Bandits.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2023

Image generation with shortest path diffusion.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2023

Fisher-Legendre (FishLeg) optimization of deep neural networks.

[BibT_eX]

[DOI]

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Generative Diffusion Models for Radio Wireless Channel Modelling and Sampling.

[BibT_eX]

[DOI]

Proceedings of the IEEE Global Communications Conference, 2023

Sample Complexity of Kernel-Based Q-Learning.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

2022

Improved Convergence Rates for Sparse Approximation Methods in Kernel-Based Learning.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2022

How to Distribute Data across Tasks for Meta-Learning?

[BibT_eX]

[DOI]

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Uniform Generalization Bounds for Overparameterized Neural Networks.

[BibT_eX]

[DOI]

CoRR, 2021

Natural continual learning: success is a journey, not (just) a destination.

[BibT_eX]

[DOI]

CoRR, 2021

How to distribute data across tasks for meta-learning?

[BibT_eX]

[DOI]

CoRR, 2021

Meta-Learning with MAML on Trees.

[BibT_eX]

[DOI]

CoRR, 2021

Optimal Order Simple Regret for Gaussian Process Bandits.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Natural continual learning: success is a journey, not (just) a destination.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Meta-learning with negative learning rates.

[BibT_eX]

[DOI]

Alberto Bernacchia

Proceedings of the 9th International Conference on Learning Representations, 2021

2020

Cyclic orthogonal convolutions for long-range integration of features.

[BibT_eX]

[DOI]

CoRR, 2020

Non-reversible Gaussian processes for identifying latent dynamical structure in neural data.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

2018

Exact natural gradient in deep linear networks and its application to the nonlinear case.

[BibT_eX]

[DOI]

Alberto Bernacchia

Máté Lengyel

Guillaume Hennequin

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

2013

Decorrelation by Recurrent Inhibition in Heterogeneous Neural Circuits.

[BibT_eX]

[DOI]

Alberto Bernacchia

Xiao-Jing Wang

Neural Comput., 2013

2012

On the equivalence of Hopfield networks and Boltzmann Machines.

[BibT_eX]

[DOI]

Neural Networks, 2012

2011

On the equivalence of Hopfield Networks and Restricted Boltzmann Machines

[BibT_eX]

[DOI]

CoRR, 2011

Alberto Bernacchia

Timeline

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On csauthors.net:

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