Vincent Adam

Publication Activity (10 Years)

Years Active: 2014-2024
Publications (10 Years): 18

Top Topics

Gaussian Process

Variational Inference

Top Venues

Publications

Prakhar Verma, Vincent Adam, Arno Solin
Variational Gaussian Process Diffusion Processes. AISTATS (2024)
Prakhar Verma, Vincent Adam, Arno Solin
Variational Gaussian Process Diffusion Processes. CoRR (2023)
Vincent Adam, Paul E. Chang, Mohammad Emtiyaz Khan, Arno Solin
Dual Parameterization of Sparse Variational Gaussian Processes. NeurIPS (2021)
Vincent Adam, Paul E. Chang, Mohammad Emtiyaz Khan, Arno Solin
Dual Parameterization of Sparse Variational Gaussian Processes. CoRR (2021)
John McLeod, Hrvoje Stojic, Vincent Adam, Dongho Kim, Jordi Grau-Moya, Peter Vrancx, Felix Leibfried
Bellman: A Toolbox for Model-Based Reinforcement Learning in TensorFlow. CoRR (2021)
William J. Wilkinson, Arno Solin, Vincent Adam
Sparse Algorithms for Markovian Gaussian Processes. AISTATS (2021)
William J. Wilkinson, Arno Solin, Vincent Adam
Sparse Algorithms for Markovian Gaussian Processes. CoRR (2021)
Vincent Adam, Stefanos Eleftheriadis, Artem Artemev, Nicolas Durrande, James Hensman
Doubly Sparse Variational Gaussian Processes. AISTATS (2020)
Vincent Adam, Stefanos Eleftheriadis, Nicolas Durrande, Artem Artemev, James Hensman
Doubly Sparse Variational Gaussian Processes. CoRR (2020)
Mark van der Wilk, Vincent Dutordoir, S. T. John, Artem Artemev, Vincent Adam, James Hensman
A Framework for Interdomain and Multioutput Gaussian Processes. CoRR (2020)
Janith C. Petangoda, Sergio Pascual-Diaz, Vincent Adam, Peter Vrancx, Jordi Grau-Moya
Disentangled Skill Embeddings for Reinforcement Learning. CoRR (2019)
Nicolas Durrande, Vincent Adam, Lucas Bordeaux, Stefanos Eleftheriadis, James Hensman
Banded Matrix Operators for Gaussian Markov Models in the Automatic Differentiation Era. AISTATS (2019)
Nicolas Durrande, Vincent Adam, Lucas Bordeaux, Stefanos Eleftheriadis, James Hensman
Banded Matrix Operators for Gaussian Markov Models in the Automatic Differentiation Era. CoRR (2019)
Laurence Aitchison, Vincent Adam, Srinivas C. Turaga
Discrete flow posteriors for variational inference in discrete dynamical systems. CoRR (2018)
Vincent Adam, Nicolas Durrande, S. T. John
Scalable GAM using sparse variational Gaussian processes. CoRR (2018)
Itay Lieder, Vincent Adam, Maneesh Sahani, Merav Ahissar
Modelling the dynamics of integrating context into perception: in good and in poor readers. CogSci (2017)
Vincent Adam
Structured Variational Inference for Coupled Gaussian Processes. CoRR (2017)
Vincent Adam, James Hensman, Maneesh Sahani
Scalable transformed additive signal decomposition by non-conjugate Gaussian process inference. MLSP (2016)
Jean Daunizeau, Vincent Adam, Lionel Rigoux
VBA: A Probabilistic Treatment of Nonlinear Models for Neurobiological and Behavioural Data. PLoS Comput. Biol. 10 (1) (2014)