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Journal Papers

  • Lieder I⁺, Adam V⁺, Frenkel O, Jaffe-Dax S, Sahani M, & Ahissar M (2019). Perceptual bias reveals slow-updating in autism and fast-forgetting in dyslexia. Nature neuroscience, 22(2), 256. doi:10.1038/s41593-018-0308-9

  • Chambers C, Akram S, Adam V, Pelofi C, Sahani M, Shamma S, Pressnitzer D (2017) Prior context in audition informs binding and shapes simple features. Nature Communications Nature, 8, 15027. doi:10.1038/ncomms15027

  • Bastian M, Lerique S, Adam ⁠V, Franklin M.S⁠, Schooler J.W, Sackur J (2017) Language facilitates introspection: Verbal mind-wandering has privileged access to consciousness Consciousness & Cognition. doi:10.1016/j.concog.2017.01.002

  • Daunizeau J, Adam V, Rigoux L (2014) VBA: A Probabilistic Treatment of Nonlinear Models for Neurobiological and Behavioural Data. PLoS Comput Biol 10(1): e1003441. doi:10.1371/journal.pcbi.1003441 [code]

Preprints

  • Verma P, Adam V, Solin A (2023), Variational Gaussian Process Diffusion Processes, [arxiv]

  • McLeod J, Stojic, H, Adam V, Kim D, Grau-Moya J, Vrancx P, Leibfried F (2021), Bellman: A Toolbox for Model-Based Reinforcement Learning in TensorFlow, [arxiv][code]

  • Van der Wilk M, Dutordoir V, John ST, Artemev A, Adam V, Hensman J (2020), A Framework for Interdomain and Multioutput Gaussian Processes, [arxiv]

Conference Papers

  • Adam V⁺, Chang E. P⁺, Khan M. E, Solin A (2021), Dual Parameterization of Sparse Variational Gaussian Processes, accepted at NeurIPS 2021. [arxiv]

  • Wilkinson W, Solin A, Adam V (2021), Sparse Algorithms for Markovian Gaussian Processes. Proceedings of the 24th International Conference on Artificial Intelligence and Statistics. [arxiv]

  • Adam V, Eleftheriadis S, Artemev A, Durrande N & Hensman J (2020), Doubly Sparse Variational Gaussian Processes. Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics. [arxiv]

  • Durrande N, Adam V, Bordeaux L, Eleftheriadis S & Hensman J (2019). Banded Matrix Operators for Gaussian Markov Models in the Automatic Differentiation Era. Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics. [link]

  • Petangoda J, Pascual-Diaz S, Adam V, Vrancx P, Grau-Moya J (2019). Disentangled Skill Embeddings for Reinforcement Learning. Workshop on Learning Transferable Skills, NeurIPS 2019. [link]

  • Adam V, Hensman J, Sahani M (2016). Scalable transformed additive signal decomposition by non-conjugate gaussian process inference. In 2016 IEEE 26th International Workshop on Machine Learning for Signal Processing (MLSP). [code]

  • Adam V, Structured Variational Inference for Coupled Gaussian Processes. arxiv e-prints 2017 [link][code], Workshop on Advances in Approximate Bayesian Inference, NIPS 2017.

Conference Posters

  • Lieder I, Adam V, Sahani M, Ahissar M (2017) Sensory history affects perception through online updating of prior expectations. Cosyne Abstracts 2017, Salt Lake City USA.

  • Adam V, Duncker L, Sahani M (2017) Continuous-time point-process GPFA using sparse variational methods. Cosyne Abstracts 2017, Salt Lake City USA.

  • Adam V, Chambers C, Sahani M, Pressnitzer D (2016) Pre-perceptual grouping accounts for contextual dependence in the perception of frequency shift. Cosyne Abstracts 2016, Salt Lake City USA.

  • Adam V, Soldado-Magraner J, Jitkrittum W, Strathmann H, Lakshminarayanan B, Ialongo A.D, Bohner G, Huh Ben.D, Goetz L, Dowling S, Serban I.V, Louis M (2015) Performance of synchrony and spectral-based features in early seizure detection: exploring feature combinations and effect of latency. International Workshop on Seizure Prediction (IWSP7). Award: Honourable Mention, [report]

  • Adam V, Sahani M (2014) Bayesian perception of the pitch of non-stationary natural sounds. Cosyne Abstracts 2014, Salt Lake City USA.