Suddhasattwa Das

11 papers Journal 11
YearRankTypeTitle / Venue / Authors
2026 J jnl
Physics-informed machine learning for reconstruction of dynamical systems with invariant measure score matching.
CoRR
Yongsheng Chen, Suddhasattwa Das, Wei Guo, Xinghui Zhong
2025 J jnl
Image denoising as a conditional expectation.
CoRR
Sajal Chakroborty, Suddhasattwa Das
2025 J jnl
Limits of Learning Dynamical Systems.
SIAM Rev.
Tyrus Berry, Suddhasattwa Das
2024 J jnl
The Categorical Basis of Dynamical Entropy.
Appl. Categorical Struct.
Suddhasattwa Das
2023 J jnl
Conditional expectation using compactification operators.
CoRR
Suddhasattwa Das
2023 J jnl
Koopman-Theoretic Modeling of Quasiperiodically Driven Systems: Example of Signalized Traffic Corridor.
IEEE Trans. Syst. Man Cybern. Syst.
Suddhasattwa Das, Shakib Mustavee, Shaurya Agarwal, Samiul Hasan
2023 J jnl
Learning Theory for Dynamical Systems.
SIAM J. Appl. Dyn. Syst.
Tyrus Berry, Suddhasattwa Das
2021 J jnl
A Linear Dynamical Perspective on Epidemiology: Interplay Between Early COVID-19 Outbreak and Human Mobility.
CoRR
Shakib Mustavee, Shaurya Agarwal, Chinwendu Enyioha, Suddhasattwa Das
2020 J jnl
An information-geometric approach to feature extraction and moment reconstruction in dynamical systems.
CoRR
Suddhasattwa Das, Dimitrios Giannakis, Eniko Szekely
2017 J jnl
Multichaos from Quasiperiodicity.
SIAM J. Appl. Dyn. Syst.
Suddhasattwa Das, James A. Yorke
2012 J jnl
Accuracy Enhancement in a Fuzzy Expert Decision Making System Through Appropriate Determination of Membership Functions and Its Application in a Medical Diagnostic Decision Making System.
J. Medical Syst.
Suddhasattwa Das, Shubhajit Roy Chowdhury, Hiranmay Saha