José Miguel Hernández-Lobato
Orcid: 0000-0001-7610-949XAffiliations:
- University of Cambridge, Cambridge, UK
According to our database1,
José Miguel Hernández-Lobato
authored at least 170 papers
between 2006 and 2024.
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Bibliography
2024
Introducing instance label correlation in multiple instance learning. Application to cancer detection on histopathological images.
Pattern Recognit., February, 2024
Series of Hessian-Vector Products for Tractable Saddle-Free Newton Optimisation of Neural Networks.
Trans. Mach. Learn. Res., 2024
Best Practices for Multi-Fidelity Bayesian Optimization in Materials and Molecular Research.
CoRR, 2024
CoRR, 2024
CoRR, 2024
CoRR, 2024
CoRR, 2024
Improving Linear System Solvers for Hyperparameter Optimisation in Iterative Gaussian Processes.
CoRR, 2024
CoRR, 2024
CoRR, 2024
Proceedings of the Forty-first International Conference on Machine Learning, 2024
Proceedings of the Forty-first International Conference on Machine Learning, 2024
Proceedings of the Forty-first International Conference on Machine Learning, 2024
Feature Attribution with Necessity and Sufficiency via Dual-stage Perturbation Test for Causal Explanation.
Proceedings of the Forty-first International Conference on Machine Learning, 2024
Proceedings of the Twelfth International Conference on Learning Representations, 2024
Proceedings of the Twelfth International Conference on Learning Representations, 2024
RECOMBINER: Robust and Enhanced Compression with Bayesian Implicit Neural Representations.
Proceedings of the Twelfth International Conference on Learning Representations, 2024
2023
J. Open Source Softw., July, 2023
Trans. Mach. Learn. Res., 2023
Trans. Mach. Learn. Res., 2023
Leveraging Task Structures for Improved Identifiability in Neural Network Representations.
CoRR, 2023
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Proceedings of the Eleventh International Conference on Learning Representations, 2023
Meta-learning Adaptive Deep Kernel Gaussian Processes for Molecular Property Prediction.
Proceedings of the Eleventh International Conference on Learning Representations, 2023
Sampling-based inference for large linear models, with application to linearised Laplace.
Proceedings of the Eleventh International Conference on Learning Representations, 2023
2022
J. Chem. Inf. Model., 2022
Bayesian Experimental Design for Computed Tomography with the Linearised Deep Image Prior.
CoRR, 2022
Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022
Missing Data Imputation and Acquisition with Deep Hierarchical Models and Hamiltonian Monte Carlo.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
Action-Sufficient State Representation Learning for Control with Structural Constraints.
Proceedings of the International Conference on Machine Learning, 2022
Proceedings of the International Conference on Machine Learning, 2022
Proceedings of the International Conference on Machine Learning, 2022
Proceedings of the Tenth International Conference on Learning Representations, 2022
Scalable One-Pass Optimisation of High-Dimensional Weight-Update Hyperparameters by Implicit Differentiation.
Proceedings of the Tenth International Conference on Learning Representations, 2022
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022
2021
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
Proceedings of the 38th International Conference on Machine Learning, 2021
Proceedings of the 38th International Conference on Machine Learning, 2021
Proceedings of the 38th International Conference on Machine Learning, 2021
Proceedings of the 9th International Conference on Learning Representations, 2021
Proceedings of the 9th International Conference on Learning Representations, 2021
Proceedings of the 9th International Conference on Learning Representations, 2021
Proceedings of the 9th International Conference on Learning Representations, 2021
Proceedings of the I (Still) Can't Believe It's Not Better! Workshop at NeurIPS 2021, 2021
Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021
2020
Combining deep generative and discriminative models for Bayesian semi-supervised learning.
Pattern Recognit., 2020
CoRR, 2020
FIT: a Fast and Accurate Framework for Solving Medical Inquiring and Diagnosing Tasks.
CoRR, 2020
Excursion Search for Constrained Bayesian Optimization under a Limited Budget of Failures.
CoRR, 2020
CoRR, 2020
Sample-Efficient Optimization in the Latent Space of Deep Generative Models via Weighted Retraining.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020
Compressing Images by Encoding Their Latent Representations with Relative Entropy Coding.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020
Results and Insights from Diagnostic Questions: The NeurIPS 2020 Education Challenge.
Proceedings of the NeurIPS 2020 Competition and Demonstration Track, 2020
A comprehensive methodology to determine optimal coherence interfaces for many-accelerator SoCs.
Proceedings of the ISLPED '20: ACM/IEEE International Symposium on Low Power Electronics and Design, 2020
Proceedings of the 37th International Conference on Machine Learning, 2020
Proceedings of the 37th International Conference on Machine Learning, 2020
2019
CoRR, 2019
Icebreaker: Element-wise Active Information Acquisition with Bayesian Deep Latent Gaussian Model.
CoRR, 2019
Interpretable Outcome Prediction with Sparse Bayesian Neural Networks in Intensive Care.
CoRR, 2019
Determining Optimal Coherency Interface for Many-Accelerator SoCs Using Bayesian Optimization.
IEEE Comput. Archit. Lett., 2019
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019
Successor Uncertainties: Exploration and Uncertainty in Temporal Difference Learning.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019
Icebreaker: Element-wise Efficient Information Acquisition with a Bayesian Deep Latent Gaussian Model.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019
Proceedings of the 36th International Conference on Machine Learning, 2019
Proceedings of the 36th International Conference on Machine Learning, 2019
Proceedings of the 36th International Conference on Machine Learning, 2019
Proceedings of the 7th International Conference on Learning Representations, 2019
Proceedings of the 7th International Conference on Learning Representations, 2019
Proceedings of the 7th International Conference on Learning Representations, 2019
Proceedings of the Deep Generative Models for Highly Structured Data, 2019
Proceedings of the 7th International Conference on Learning Representations, 2019
Proceedings of the Symposium on Advances in Approximate Bayesian Inference, 2019
2018
Successor Uncertainties: exploration and uncertainty in temporal difference learning.
CoRR, 2018
Fixing Variational Bayes: Deterministic Variational Inference for Bayesian Neural Networks.
CoRR, 2018
Taking Gradients Through Experiments: LSTMs and Memory Proximal Policy Optimization for Black-Box Quantum Control.
Proceedings of the High Performance Computing, 2018
Inference in Deep Gaussian Processes using Stochastic Gradient Hamiltonian Monte Carlo.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018
Decomposition of Uncertainty in Bayesian Deep Learning for Efficient and Risk-sensitive Learning.
Proceedings of the 35th International Conference on Machine Learning, 2018
Proceedings of the 6th International Conference on Learning Representations, 2018
Proceedings of the 26th European Symposium on Artificial Neural Networks, 2018
2017
Decomposition of Uncertainty for Active Learning and Reliable Reinforcement Learning in Stochastic Systems.
CoRR, 2017
Proceedings of the 2017 IEEE/ACM International Symposium on Low Power Electronics and Design, 2017
Proceedings of the 34th International Conference on Machine Learning, 2017
Sequence Tutor: Conservative Fine-Tuning of Sequence Generation Models with KL-control.
Proceedings of the 34th International Conference on Machine Learning, 2017
Parallel and Distributed Thompson Sampling for Large-scale Accelerated Exploration of Chemical Space.
Proceedings of the 34th International Conference on Machine Learning, 2017
Learning and Policy Search in Stochastic Dynamical Systems with Bayesian Neural Networks.
Proceedings of the 5th International Conference on Learning Representations, 2017
2016
A General Framework for Constrained Bayesian Optimization using Information-based Search.
J. Mach. Learn. Res., 2016
CoRR, 2016
Automatic chemical design using a data-driven continuous representation of molecules.
CoRR, 2016
Proceedings of the 43rd ACM/IEEE Annual International Symposium on Computer Architecture, 2016
Proceedings of the 33nd International Conference on Machine Learning, 2016
Proceedings of the 33nd International Conference on Machine Learning, 2016
Proceedings of the 33nd International Conference on Machine Learning, 2016
Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016
Proceedings of the 19th International Conference on Artificial Intelligence and Statistics, 2016
2015
Mach. Learn., 2015
Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015
Proceedings of the 32nd International Conference on Machine Learning, 2015
Proceedings of the 32nd International Conference on Machine Learning, 2015
Proceedings of the 32nd International Conference on Machine Learning, 2015
2014
Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014
Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014
Proceedings of the 31th International Conference on Machine Learning, 2014
Proceedings of the 31th International Conference on Machine Learning, 2014
Proceedings of the 31th International Conference on Machine Learning, 2014
2013
Generalized spike-and-slab priors for Bayesian group feature selection using expectation propagation.
J. Mach. Learn. Res., 2013
Proceedings of the Advances in Neural Information Processing Systems 26: 27th Annual Conference on Neural Information Processing Systems 2013. Proceedings of a meeting held December 5-8, 2013
Proceedings of the Advances in Neural Information Processing Systems 26: 27th Annual Conference on Neural Information Processing Systems 2013. Proceedings of a meeting held December 5-8, 2013
Proceedings of the 30th International Conference on Machine Learning, 2013
Proceedings of the 30th International Conference on Machine Learning, 2013
Proceedings of the 46th Hawaii International Conference on System Sciences, 2013
2012
Proceedings of the Advances in Neural Information Processing Systems 25: 26th Annual Conference on Neural Information Processing Systems 2012. Proceedings of a meeting held December 3-6, 2012
Proceedings of the Advances in Neural Information Processing Systems 25: 26th Annual Conference on Neural Information Processing Systems 2012. Proceedings of a meeting held December 3-6, 2012
2011
Proceedings of the Advances in Neural Information Processing Systems 24: 25th Annual Conference on Neural Information Processing Systems 2011. Proceedings of a meeting held 12-14 December 2011, 2011
Proceedings of the IJCAI 2011, 2011
2010
Pattern Recognit. Lett., 2010
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2010
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2010
2008
2007
Regulator Discovery from Gene Expression Time Series of Malaria Parasites: a Hierachical Approach.
Proceedings of the Advances in Neural Information Processing Systems 20, 2007
Proceedings of the Artificial Neural Networks, 2007
2006
Proceedings of the Intelligent Data Engineering and Automated Learning, 2006
Proceedings of the Artificial Neural Networks, 2006