Vincent Adam

According to our database, Vincent Adam authored at least 14 papers between 2014 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

Variational Gaussian Process Diffusion Processes.

Prakhar Verma, Vincent Adam, Arno Solin

CoRR, 2023

2021

Bellman: A Toolbox for Model-Based Reinforcement Learning in TensorFlow.

John McLeod, Hrvoje Stojic, Vincent Adam, Dongho Kim, Jordi Grau-Moya, Peter Vrancx, Felix Leibfried

CoRR, 2021

Dual Parameterization of Sparse Variational Gaussian Processes.

Vincent Adam, Paul E. Chang, Mohammad Emtiyaz Khan, Arno Solin

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

Sparse Algorithms for Markovian Gaussian Processes.

William J. Wilkinson, Arno Solin, Vincent Adam

Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021

2020

A Framework for Interdomain and Multioutput Gaussian Processes.

Mark van der Wilk, Vincent Dutordoir, S. T. John, Artem Artemev, Vincent Adam, James Hensman

CoRR, 2020

Doubly Sparse Variational Gaussian Processes.

Vincent Adam, Stefanos Eleftheriadis, Artem Artemev, Nicolas Durrande, James Hensman

Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020

2019

Disentangled Skill Embeddings for Reinforcement Learning.

Janith C. Petangoda, Sergio Pascual-Diaz, Vincent Adam, Peter Vrancx, Jordi Grau-Moya

CoRR, 2019

Banded Matrix Operators for Gaussian Markov Models in the Automatic Differentiation Era.

Nicolas Durrande, Vincent Adam, Lucas Bordeaux, Stefanos Eleftheriadis, James Hensman

Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019

2018

Scalable GAM using sparse variational Gaussian processes.

Vincent Adam, Nicolas Durrande, S. T. John

CoRR, 2018

Discrete flow posteriors for variational inference in discrete dynamical systems.

Laurence Aitchison, Vincent Adam, Srinivas C. Turaga

CoRR, 2018

2017

Structured Variational Inference for Coupled Gaussian Processes.

Vincent Adam

CoRR, 2017

Modelling the dynamics of integrating context into perception: in good and in poor readers.

Itay Lieder, Vincent Adam, Maneesh Sahani, Merav Ahissar

Proceedings of the 39th Annual Meeting of the Cognitive Science Society, 2017

2016

Scalable transformed additive signal decomposition by non-conjugate Gaussian process inference.

Vincent Adam, James Hensman, Maneesh Sahani

Proceedings of the 26th IEEE International Workshop on Machine Learning for Signal Processing, 2016

2014

VBA: A Probabilistic Treatment of Nonlinear Models for Neurobiological and Behavioural Data.

Jean Daunizeau, Vincent Adam, Lionel Rigoux

PLoS Comput. Biol., 2014