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ORCIDPeyman Tavallali
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- affiliation: California Institute of Technology, Pasadena, CA, USA
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2020 – today
- 2024
[j6]Pooya Tavallali, Peyman Tavallali, Mukesh Singhal:
Correction: K-means tree: an optimal clustering tree for unsupervised learning. J. Supercomput. 80(6): 8551 (2024)- [i11]Kshama Dwarakanath, Svitlana Vyetrenko, Peyman Tavallali, Tucker Balch:
ABIDES-Economist: Agent-Based Simulation of Economic Systems with Learning Agents. CoRR abs/2402.09563 (2024) - 2022
- [j5]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: 111608 (2022) - [j4]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): 41697-41710 (2022) - [c4]Kshama Dwarakanath, Danial Dervovic, Peyman Tavallali, Svitlana Vyetrenko, Tucker Balch:
Optimal Stopping with Gaussian Processes. ICAIF 2022: 497-505 - [c3]Alberto Candela, Jason Swope, Steve A. Chien, Hui Su, Peyman Tavallali:
Dynamic Targeting for Improved Tracking of Storm Features. IGARSS 2022: 5313-5316 - [c2]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 Deal, Caitlyn Cooke:
Autonomous Capabilities and Command and Data Handling Design for the Smart Remote Sensing of Cloud Ice. IGARSS 2022: 7119-7122 - [i10]Matthieu Darcy, Boumediene Hamzi, Giulia Livieri, Houman Owhadi, Peyman Tavallali:
One-Shot Learning of Stochastic Differential Equations with Computational Graph Completion. CoRR abs/2209.12086 (2022) - [i9]Kshama Dwarakanath, Danial Dervovic, Peyman Tavallali, Svitlana S. Vyetrenko, Tucker Balch:
Optimal Stopping with Gaussian Processes. CoRR abs/2209.14738 (2022) - 2021
- [j3]Pooya Tavallali, Peyman Tavallali, Mukesh Singhal:
K-means tree: an optimal clustering tree for unsupervised learning. J. Supercomput. 77(5): 5239-5266 (2021) - [i8]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 abs/2102.05867 (2021) - [i7]Peyman Tavallali, Hamed Hamze Bajgiran, Danial J. Esaid, Houman Owhadi:
Decision Theoretic Bootstrapping. CoRR abs/2103.09982 (2021) - [i6]Aryan Naim, Joseph Bowkett, Sisir Karumanchi, Peyman Tavallali, Brett Kennedy:
Deterministic Iteratively Built KD-Tree with KNN Search for Exact Applications. CoRR abs/2106.03799 (2021) - [i5]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 abs/2108.10517 (2021) - 2020
- [c1]Pooya Tavallali, Peyman Tavallali, Mohammad Reza Khosravi, Mukesh Singhal:
Interpretable Synthetic Reduced Nearest Neighbor: An Expectation Maximization Approach. ICIP 2020: 1921-1925
2010 – 2019
- 2018
- [i4]Peyman Tavallali, Gary B. Doran Jr., Lukas Mandrake:
Discrete linear-complexity reinforcement learning in continuous action spaces for Q-learning algorithms. CoRR abs/1807.06957 (2018) - 2017
- [i3]Peyman Tavallali, Hana Koorehdavoudi, Joanna Krupa:
Intrinsic Frequency Analysis and Fast Algorithms. CoRR abs/1708.00465 (2017) - 2015
- [j2]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: 618-652 (2015) - 2014
- [j1]Peyman Tavallali, Thomas Y. Hou, Zuoqiang Shi:
Extraction of Intrawave Signals Using the Sparse Time-Frequency Representation Method. Multiscale Model. Simul. 12(4): 1458-1493 (2014) - 2013
- [i2]Thomas Y. Hou, Zuoqiang Shi, Peyman Tavallali:
Convergence of a data-driven time-frequency analysis method. CoRR abs/1303.7048 (2013) - [i1]Thomas Y. Hou, Zuoqiang Shi, Peyman Tavallali:
Sparse Time Frequency Representations and Dynamical Systems. CoRR abs/1312.0202 (2013)
Coauthor Index
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last updated on 2024-04-24 22:51 CEST by the dblp team
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