Arnab Ganguly

11 papers C 2Journal 8Unranked 1
YearRankTypeTitle / Venue / Authors
2025 J jnl
Nonparametric learning of stochastic differential equations from sparse and noisy data.
CoRR
Arnab Ganguly, Riten Mitra, Jinpu Zhou
2023 J jnl
Infinite-dimensional optimization and Bayesian nonparametric learning of stochastic differential equations.
J. Mach. Learn. Res.
Arnab Ganguly, Riten Mitra, Jinpu Zhou
2022 J jnl
Infinite-dimensional optimization and Bayesian nonparametric learning of stochastic differential equations.
CoRR
Arnab Ganguly, Riten Mitra, Jinpu Zhou
2016 J jnl
A Variational Approach to Path Estimation and Parameter Inference of Hidden Diffusion Processes.
J. Mach. Learn. Res.
Tobias Sutter, Arnab Ganguly, Heinz Koeppl
2016 C conf
Efficient simulation of multiscale reaction networks: A multilevel partitioning approach.
ACC
Derya Altintan, Arnab Ganguly, Heinz Koeppl
2015 J jnl
A variational approach to path estimation and parameter inference of hidden diffusion processes.
CoRR
Tobias Sutter, Arnab Ganguly, Heinz Koeppl
2015 C conf
Error bound and simulation algorithm for piecewise deterministic approximations of stochastic reaction systems.
ACC
Arnab Ganguly, Derya Altintan, Heinz Koeppl
2015 J jnl
Jump-Diffusion Approximation of Stochastic Reaction Dynamics: Error Bounds and Algorithms.
Multiscale Model. Simul.
Arnab Ganguly, Derya Altintan, Heinz Koeppl
2013 J jnl
Markov chain aggregation and its applications to combinatorial reaction networks
CoRR
Arnab Ganguly, Tatjana Petrov, Heinz Koeppl
2012 J jnl
Hybrid spatial Gillespie and particle tracking simulation.
Bioinform.
Michael Klann, Arnab Ganguly, Heinz Koeppl
2011 — conf
Model Decomposition and Stochastic Fragments.
SASB
Tatjana Petrov, Arnab Ganguly, Heinz Koeppl