Peyman Tavallali

22 papers B 1C 2Journal 18Unranked 1

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Data-efficient Kernel Methods for Learning Hamiltonian Systems. CoRR Yasamin Jalalian, Mostafa Samir, Boumediene Hamzi, Peyman Tavallali, Houman Owhadi
2024	J	`jnl`	ABIDES-Economist: Agent-Based Simulation of Economic Systems with Learning Agents. CoRR Kshama Dwarakanath, Svitlana Vyetrenko, Peyman Tavallali, Tucker Balch
2024	J	`jnl`	Correction: K-means tree: an optimal clustering tree for unsupervised learning. J. Supercomput. Pooya Tavallali, Peyman Tavallali, Mukesh Singhal
2022	J	`jnl`	An EM-based optimization of synthetic reduced nearest neighbor model towards multiple modalities representation with human interpretability. Multim. Tools Appl. Pooya Tavallali, Peyman Tavallali, Mohammad Reza Khosravi, Mukesh Singhal
2022	C	`conf`	Autonomous Capabilities and Command and Data Handling Design for the Smart Remote Sensing of Cloud Ice. IGARSS 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, Caitlyn Cooke
2022	C	`conf`	Dynamic Targeting for Improved Tracking of Storm Features. IGARSS Alberto Candela, Jason Swope, Steve A. Chien, Hui Su, Peyman Tavallali
2022	J	`jnl`	One-Shot Learning of Stochastic Differential Equations with Computational Graph Completion. CoRR Matthieu Darcy, Boumediene Hamzi, Giulia Livieri, Houman Owhadi, Peyman Tavallali
2022	—	`conf`	Optimal Stopping with Gaussian Processes. ICAIF Kshama Dwarakanath, Danial Dervovic, Peyman Tavallali, Svitlana Vyetrenko, Tucker Balch
2022	J	`jnl`	Optimal Stopping with Gaussian Processes. CoRR Kshama Dwarakanath, Danial Dervovic, Peyman Tavallali, Svitlana S. Vyetrenko, Tucker Balch
2022	J	`jnl`	Uncertainty quantification of the 4th kind; optimal posterior accuracy-uncertainty tradeoff with the minimum enclosing ball. J. Comput. Phys. Hamed Hamze Bajgiran, Pau Batlle, Houman Owhadi, Mostafa Samir, Clint Scovel, Mahdy Shirdel, Michael Stanley, Peyman Tavallali
2021	J	`jnl`	Adversarial Poisoning Attacks and Defense for General Multi-Class Models Based On Synthetic Reduced Nearest Neighbors. CoRR Pooya Tavallali, Vahid Behzadan, Peyman Tavallali, Mukesh Singhal
2021	J	`jnl`	Decision Theoretic Bootstrapping. CoRR Peyman Tavallali, Hamed Hamze Bajgiran, Danial J. Esaid, Houman Owhadi
2021	J	`jnl`	Deterministic Iteratively Built KD-Tree with KNN Search for Exact Applications. CoRR Aryan Naim, Joseph Bowkett, Sisir Karumanchi, Peyman Tavallali, Brett Kennedy
2021	J	`jnl`	K-means tree: an optimal clustering tree for unsupervised learning. J. Supercomput. Pooya Tavallali, Peyman Tavallali, Mukesh Singhal
2021	J	`jnl`	Uncertainty Quantification of the 4th kind; optimal posterior accuracy-uncertainty tradeoff with the minimum enclosing ball. CoRR Hamed Hamze Bajgiran, Pau Batlle Franch, Houman Owhadi, Clint Scovel, Mahdy Shirdel, Michael Stanley, Peyman Tavallali
2020	B	`conf`	Interpretable Synthetic Reduced Nearest Neighbor: An Expectation Maximization Approach. ICIP Pooya Tavallali, Peyman Tavallali, Mohammad Reza Khosravi, Mukesh Singhal
2018	J	`jnl`	Discrete linear-complexity reinforcement learning in continuous action spaces for Q-learning algorithms. CoRR Peyman Tavallali, Gary B. Doran Jr., Lukas Mandrake
2017	J	`jnl`	Intrinsic Frequency Analysis and Fast Algorithms. CoRR Peyman Tavallali, Hana Koorehdavoudi, Joanna Krupa
2015	J	`jnl`	The ghost solid methods for the elastic-plastic solid-solid interface and the ϑ-criterion. J. Comput. Phys. Abouzar Kaboudian, Peyman Tavallali, B. C. Khoo
2014	J	`jnl`	Extraction of Intrawave Signals Using the Sparse Time-Frequency Representation Method. Multiscale Model. Simul. Peyman Tavallali, Thomas Y. Hou, Zuoqiang Shi
2013	J	`jnl`	Convergence of a data-driven time-frequency analysis method CoRR Thomas Y. Hou, Zuoqiang Shi, Peyman Tavallali
2013	J	`jnl`	Sparse Time Frequency Representations and Dynamical Systems. CoRR Thomas Y. Hou, Zuoqiang Shi, Peyman Tavallali