Peyman Tavallali

Publication Activity (10 Years)

Years Active: 2013-2024
Publications (10 Years): 17

Top Topics

Nearest Neighbor

Top Venues

J. Comput. Phys.

J. Supercomput.

Publications

Kshama Dwarakanath, Svitlana Vyetrenko, Peyman Tavallali, Tucker Balch
ABIDES-Economist: Agent-Based Simulation of Economic Systems with Learning Agents. CoRR (2024)
Pooya Tavallali, Peyman Tavallali, Mukesh Singhal
Correction: K-means tree: an optimal clustering tree for unsupervised learning. J. Supercomput. 80 (6) (2024)
Mehmet Ogut, Xavier Bosch-Lluis, Pekka Kangaslahti, Isaac Ramos-Pérez, Joan Francesc Muñoz-Martín, Joelle Cooperrider, Qing Yue, Jason Swope, Peyman Tavallali, Steve Chien, Omkar Pradhan, William Deal, Caitlyn Cooke
Autonomous Capabilities and Command and Data Handling Design for the Smart Remote Sensing of Cloud Ice. IGARSS (2022)
Kshama Dwarakanath, Danial Dervovic, Peyman Tavallali, Svitlana S. Vyetrenko, Tucker Balch
Optimal Stopping with Gaussian Processes. CoRR (2022)
Pooya Tavallali, Peyman Tavallali, Mohammad Reza Khosravi, Mukesh Singhal
An EM-based optimization of synthetic reduced nearest neighbor model towards multiple modalities representation with human interpretability. Multim. Tools Appl. 81 (29) (2022)
Hamed Hamze Bajgiran, Pau Batlle, Houman Owhadi, Mostafa Samir, Clint Scovel, Mahdy Shirdel, Michael Stanley, Peyman Tavallali
Uncertainty quantification of the 4th kind; optimal posterior accuracy-uncertainty tradeoff with the minimum enclosing ball. J. Comput. Phys. 471 (2022)
Matthieu Darcy, Boumediene Hamzi, Giulia Livieri, Houman Owhadi, Peyman Tavallali
One-Shot Learning of Stochastic Differential Equations with Computational Graph Completion. CoRR (2022)
Kshama Dwarakanath, Danial Dervovic, Peyman Tavallali, Svitlana Vyetrenko, Tucker Balch
Optimal Stopping with Gaussian Processes. ICAIF (2022)
Alberto Candela, Jason Swope, Steve Chien, Hui Su, Peyman Tavallali
Dynamic Targeting for Improved Tracking of Storm Features. IGARSS (2022)
Aryan Naim, Joseph Bowkett, Sisir Karumanchi, Peyman Tavallali, Brett Kennedy
Deterministic Iteratively Built KD-Tree with KNN Search for Exact Applications. CoRR (2021)
Hamed Hamze Bajgiran, Pau Batlle Franch, Houman Owhadi, Clint Scovel, Mahdy Shirdel, Michael Stanley, Peyman Tavallali
Uncertainty Quantification of the 4th kind; optimal posterior accuracy-uncertainty tradeoff with the minimum enclosing ball. CoRR (2021)
Pooya Tavallali, Vahid Behzadan, Peyman Tavallali, Mukesh Singhal
Adversarial Poisoning Attacks and Defense for General Multi-Class Models Based On Synthetic Reduced Nearest Neighbors. CoRR (2021)
Pooya Tavallali, Peyman Tavallali, Mukesh Singhal
K-means tree: an optimal clustering tree for unsupervised learning. J. Supercomput. 77 (5) (2021)
Peyman Tavallali, Hamed Hamze Bajgiran, Danial J. Esaid, Houman Owhadi
Decision Theoretic Bootstrapping. CoRR (2021)
Pooya Tavallali, Peyman Tavallali, Mohammad Reza Khosravi, Mukesh Singhal
Interpretable Synthetic Reduced Nearest Neighbor: An Expectation Maximization Approach. ICIP (2020)
Peyman Tavallali, Gary B. Doran Jr., Lukas Mandrake
Discrete linear-complexity reinforcement learning in continuous action spaces for Q-learning algorithms. CoRR (2018)
Peyman Tavallali, Hana Koorehdavoudi, Joanna Krupa
Intrinsic Frequency Analysis and Fast Algorithms. CoRR (2017)
Abouzar Kaboudian, Peyman Tavallali, B. C. Khoo
The ghost solid methods for the elastic-plastic solid-solid interface and the ϑ-criterion. J. Comput. Phys. 302 (2015)
Peyman Tavallali, Thomas Y. Hou, Zuoqiang Shi
Extraction of Intrawave Signals Using the Sparse Time-Frequency Representation Method. Multiscale Model. Simul. 12 (4) (2014)
Thomas Y. Hou, Zuoqiang Shi, Peyman Tavallali
Convergence of a data-driven time-frequency analysis method CoRR (2013)
Thomas Y. Hou, Zuoqiang Shi, Peyman Tavallali
Sparse Time Frequency Representations and Dynamical Systems. CoRR (2013)