Vincent ADAM
Vincent ADAM
Machine Learning Researcher at Secondmind.ai
Adresse e-mail validée de secondmind.ai - Page d'accueil
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VBA: a probabilistic treatment of nonlinear models for neurobiological and behavioural data
J Daunizeau, V Adam, L Rigoux
PLoS Comput Biol 10 (1), e1003441, 2014
2142014
Perceptual bias reveals slow-updating in autism and fast-forgetting in dyslexia
I Lieder, V Adam, O Frenkel, S Jaffe-Dax, M Sahani, M Ahissar
Nature neuroscience 22 (2), 256-264, 2019
512019
Prior context in audition informs binding and shapes simple features
C Chambers, S Akram, V Adam, C Pelofi, M Sahani, S Shamma, ...
Nature communications 8 (1), 1-11, 2017
332017
Language facilitates introspection: Verbal mind-wandering has privileged access to consciousness
M Bastian, S Lerique, V Adam, MS Franklin, JW Schooler, J Sackur
Consciousness and Cognition 49, 86-97, 2017
292017
Banded matrix operators for Gaussian Markov models in the automatic differentiation era
N Durrande, V Adam, L Bordeaux, S Eleftheriadis, J Hensman
The 22nd International Conference on Artificial Intelligence and Statistics …, 2019
172019
Scalable transformed additive signal decomposition by non-conjugate Gaussian Process Inference
V Adam, J Hensman, M Sahani
Proceedings of the 2016 IEEE 26th International Workshop on Machine Learning …, 2016
162016
A framework for interdomain and multioutput Gaussian processes
M van der Wilk, V Dutordoir, ST John, A Artemev, V Adam, J Hensman
arXiv preprint arXiv:2003.01115, 2020
122020
Disentangled skill embeddings for reinforcement learning
JC Petangoda, S Pascual-Diaz, V Adam, P Vrancx, J Grau-Moya
arXiv preprint arXiv:1906.09223, 2019
72019
Doubly sparse variational Gaussian processes
V Adam, S Eleftheriadis, A Artemev, N Durrande, J Hensman
International Conference on Artificial Intelligence and Statistics, 2874-2884, 2020
62020
Scalable GAM using sparse variational Gaussian processes
V Adam, N Durrande, ST John
arXiv preprint arXiv:1812.11106, 2018
22018
Discrete flow posteriors for variational inference in discrete dynamical systems
L Aitchison, V Adam, SC Turaga
arXiv preprint arXiv:1805.10958, 2018
22018
Structured Variational Inference for Coupled Gaussian Processes
V Adam
https://arxiv.org/abs/1711.01131, 2017
22017
Bellman: A Toolbox for Model-Based Reinforcement Learning in TensorFlow
J McLeod, H Stojic, V Adam, D Kim, J Grau-Moya, P Vrancx, F Leibfried
arXiv preprint arXiv:2103.14407, 2021
2021
Sparse Algorithms for Markovian Gaussian Processes
W Wilkinson, A Solin, V Adam
International Conference on Artificial Intelligence and Statistics, 1747-1755, 2021
2021
Non-linear regression models for behavioral and neural data analysis
V Adam, A Hyafil
arXiv preprint arXiv:2002.00920, 2020
2020
Probabilistic models of contextual effects in Auditory Pitch Perception
V Adam
UCL (University College London), 2018
2018
Seizure Detection Challenge The Fitzgerald team solution
V Adam, J Soldado-Magraner, W Jitkritum, H Strathmann, ...
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