Sparse Time Frequency Representations and Dynamical Systems. - Thomas Y. Hou 001; Zuoqiang Shi; Peyman Tavallali (CoRR, 2013)

Convergence of a data-driven time-frequency analysis method - Thomas Y. Hou 001; Zuoqiang Shi; Peyman Tavallali (CoRR, 2013)

Extraction of Intrawave Signals Using the Sparse Time-Frequency Representation Method. - Peyman Tavallali; Thomas Y. Hou 001; Zuoqiang Shi (Multiscale Model. Simul., 2014)

The ghost solid methods for the elastic-plastic solid-solid interface and the ϑ-criterion. - Abouzar Kaboudian; Peyman Tavallali; B. C. Khoo (J. Comput. Phys., 2015)

Intrinsic Frequency Analysis and Fast Algorithms. - Peyman Tavallali; Hana Koorehdavoudi; Joanna Krupa (CoRR, 2017)

Discrete linear-complexity reinforcement learning in continuous action spaces for Q-learning algorithms. - Peyman Tavallali; Gary B. Doran Jr.; Lukas Mandrake (CoRR, 2018)

Interpretable Synthetic Reduced Nearest Neighbor: An Expectation Maximization Approach. - Pooya Tavallali; Peyman Tavallali; Mohammad Reza Khosravi; Mukesh Singhal (ICIP, 2020)

Adversarial Poisoning Attacks and Defense for General Multi-Class Models Based On Synthetic Reduced Nearest Neighbors. - Pooya Tavallali; Vahid Behzadan; Peyman Tavallali; Mukesh Singhal (CoRR, 2021)

Decision Theoretic Bootstrapping. - Peyman Tavallali; Hamed Hamze Bajgiran; Danial J. Esaid; Houman Owhadi (CoRR, 2021)

Deterministic Iteratively Built KD-Tree with KNN Search for Exact Applications. - Aryan Naim; Joseph Bowkett; Sisir Karumanchi; Peyman Tavallali; Brett Kennedy (CoRR, 2021)

Uncertainty Quantification of the 4th kind; optimal posterior accuracy-uncertainty tradeoff with the minimum enclosing ball. - Hamed Hamze Bajgiran; Pau Batlle Franch; Houman Owhadi; Clint Scovel; Mahdy Shirdel; Michael Stanley; Peyman Tavallali (CoRR, 2021)

K-means tree: an optimal clustering tree for unsupervised learning. - Pooya Tavallali; Peyman Tavallali; Mukesh Singhal (J. Supercomput., 2021)

Optimal Stopping with Gaussian Processes. - Kshama Dwarakanath; Danial Dervovic; Peyman Tavallali; Svitlana Vyetrenko; Tucker Balch (ICAIF, 2022)

Dynamic Targeting for Improved Tracking of Storm Features. - Alberto Candela; Jason Swope; Steve A. Chien; Hui Su; Peyman Tavallali (IGARSS, 2022)

Autonomous Capabilities and Command and Data Handling Design for the Smart Remote Sensing of Cloud Ice. - Mehmet Ogut; Xavier Bosch-Lluis; Pekka Kangaslahti; Isaac Ramos-Pérez; Joan Francesc Muñoz-Martín; Joelle Cooperrider; Qing Yue; Jason Swope; Peyman Tavallali; Steve A. Chien; Omkar Pradhan; William R. Deal; et al. (IGARSS, 2022)

One-Shot Learning of Stochastic Differential Equations with Computational Graph Completion. - Matthieu Darcy; Boumediene Hamzi; Giulia Livieri; Houman Owhadi; Peyman Tavallali (CoRR, 2022)

Uncertainty quantification of the 4th kind; optimal posterior accuracy-uncertainty tradeoff with the minimum enclosing ball. - Hamed Hamze Bajgiran; Pau Batlle; Houman Owhadi; Mostafa Samir; Clint Scovel; Mahdy Shirdel; Michael Stanley; Peyman Tavallali (J. Comput. Phys., 2022)

An EM-based optimization of synthetic reduced nearest neighbor model towards multiple modalities representation with human interpretability. - Pooya Tavallali; Peyman Tavallali; Mohammad Reza Khosravi; Mukesh Singhal (Multim. Tools Appl., 2022)

ABIDES-Economist: Agent-Based Simulation of Economic Systems with Learning Agents. - Kshama Dwarakanath; Svitlana Vyetrenko; Peyman Tavallali; Tucker Balch (CoRR, 2024)

Correction: K-means tree: an optimal clustering tree for unsupervised learning. - Pooya Tavallali; Peyman Tavallali; Mukesh Singhal (J. Supercomput., 2024)