Scalable inference in SDEs by direct matching of the Fokker–Planck–Kolmogorov equation A Solin, E Tamir, P Verma
Advances in Neural Information Processing Systems 34, 417-429, 2021
21 2021 Memory-Based Dual Gaussian Processes for Sequential Learning PE Chang, P Verma, ST John, A Solin, ME Khan
International Conference on Machine Learning, 4035-4054, 2023
6 2023 Fantasizing with Dual GPs in Bayesian Optimization and Active Learning PE Chang, P Verma, ST John, V Picheny, H Moss, A Solin
arXiv preprint arXiv:2211.01053, 2022
6 2022 Variational Gaussian Process Diffusion Processes P Verma, V Adam, A Solin
International Conference on Artificial Intelligence and Statistics, 1909-1917, 2024
4 2024 PriorCVAE: scalable MCMC parameter inference with Bayesian deep generative modelling E Semenova, P Verma, M Cairney-Leeming, A Solin, S Bhatt, S Flaxman
arXiv preprint arXiv:2304.04307, 2023
3 2023 Sparse Gaussian processes for stochastic differential equations P Verma, A Vincent, A Solin
The Symbiosis of Deep Learning and Differential Equations, 2021
1 2021 Plan P Verma, SP Midigeshi, G Sinha, A Solin, N Natarajan, A Sharma
arXiv preprint arXiv:2410.20753, 2024
2024 Sequential Learning in GPs with Memory and Bayesian Leverage Score P Verma, PE Chang, A Solin, ME Khan
Continual Lifelong Learning Workshop at ACML 2022, 2022
2022 MAGEC: machine assisted geometry extraction and creation F Palnak, K Nikhal, P Verma, R Panchani, S Rohankar
Twelfth International Conference on Machine Vision (ICMV 2019) 11433, 811-815, 2020
2020 
Arno SolinAssistant Professor in Machine Learning, Aalto UniversityE-mail confirmado em aalto.fi
