Vincent Adam - RankMe

20 papers A* 1A 4B 1Journal 13Unranked 1

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Reward Models Inherit Value Biases from Pretraining. CoRR Brian R. Christian, Jessica A. F. Thompson, Elle Michelle Yang, Vincent Adam, Hannah Rose Kirk, Christopher Summerfield, Tsvetomira Dumbalska
2024	A	`conf`	Variational Gaussian Process Diffusion Processes. AISTATS Prakhar Verma, Vincent Adam, Arno Solin
2023	J	`jnl`	Variational Gaussian Process Diffusion Processes. CoRR Prakhar Verma, Vincent Adam, Arno Solin
2021	J	`jnl`	Bellman: A Toolbox for Model-Based Reinforcement Learning in TensorFlow. CoRR John McLeod, Hrvoje Stojic, Vincent Adam, Dongho Kim, Jordi Grau-Moya, Peter Vrancx, Felix Leibfried
2021	A*	`conf`	Dual Parameterization of Sparse Variational Gaussian Processes. NeurIPS Vincent Adam, Paul E. Chang, Mohammad Emtiyaz Khan, Arno Solin
2021	J	`jnl`	Dual Parameterization of Sparse Variational Gaussian Processes. CoRR Vincent Adam, Paul E. Chang, Mohammad Emtiyaz Khan, Arno Solin
2021	A	`conf`	Sparse Algorithms for Markovian Gaussian Processes. AISTATS William J. Wilkinson, Arno Solin, Vincent Adam
2021	J	`jnl`	Sparse Algorithms for Markovian Gaussian Processes. CoRR William J. Wilkinson, Arno Solin, Vincent Adam
2020	J	`jnl`	A Framework for Interdomain and Multioutput Gaussian Processes. CoRR Mark van der Wilk, Vincent Dutordoir, S. T. John, Artem Artemev, Vincent Adam, James Hensman
2020	A	`conf`	Doubly Sparse Variational Gaussian Processes. AISTATS Vincent Adam, Stefanos Eleftheriadis, Artem Artemev, Nicolas Durrande, James Hensman
2020	J	`jnl`	Doubly Sparse Variational Gaussian Processes. CoRR Vincent Adam, Stefanos Eleftheriadis, Nicolas Durrande, Artem Artemev, James Hensman
2019	A	`conf`	Banded Matrix Operators for Gaussian Markov Models in the Automatic Differentiation Era. AISTATS Nicolas Durrande, Vincent Adam, Lucas Bordeaux, Stefanos Eleftheriadis, James Hensman
2019	J	`jnl`	Banded Matrix Operators for Gaussian Markov Models in the Automatic Differentiation Era. CoRR Nicolas Durrande, Vincent Adam, Lucas Bordeaux, Stefanos Eleftheriadis, James Hensman
2019	J	`jnl`	Disentangled Skill Embeddings for Reinforcement Learning. CoRR Janith C. Petangoda, Sergio Pascual-Diaz, Vincent Adam, Peter Vrancx, Jordi Grau-Moya
2018	J	`jnl`	Discrete flow posteriors for variational inference in discrete dynamical systems. CoRR Laurence Aitchison, Vincent Adam, Srinivas C. Turaga
2018	J	`jnl`	Scalable GAM using sparse variational Gaussian processes. CoRR Vincent Adam, Nicolas Durrande, S. T. John
2017	B	`conf`	Modelling the dynamics of integrating context into perception: in good and in poor readers. CogSci Itay Lieder, Vincent Adam, Maneesh Sahani, Merav Ahissar
2017	J	`jnl`	Structured Variational Inference for Coupled Gaussian Processes. CoRR Vincent Adam
2016	—	`conf`	Scalable transformed additive signal decomposition by non-conjugate Gaussian process inference. MLSP Vincent Adam, James Hensman, Maneesh Sahani
2014	J	`jnl`	VBA: A Probabilistic Treatment of Nonlinear Models for Neurobiological and Behavioural Data. PLoS Comput. Biol. Jean Daunizeau, Vincent Adam, Lionel Rigoux