Peyman Tavallali

Affiliations:
  • California Institute of Technology, Pasadena, CA, USA


According to our database1, Peyman Tavallali authored at least 19 papers between 2013 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
ABIDES-Economist: Agent-Based Simulation of Economic Systems with Learning Agents.
CoRR, 2024

2022
An EM-based optimization of synthetic reduced nearest neighbor model towards multiple modalities representation with human interpretability.
Multim. Tools Appl., 2022

Uncertainty quantification of the 4th kind; optimal posterior accuracy-uncertainty tradeoff with the minimum enclosing ball.
J. Comput. Phys., 2022

One-Shot Learning of Stochastic Differential Equations with Computational Graph Completion.
CoRR, 2022

Autonomous Capabilities and Command and Data Handling Design for the Smart Remote Sensing of Cloud Ice.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2022

Dynamic Targeting for Improved Tracking of Storm Features.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2022

Optimal Stopping with Gaussian Processes.
Proceedings of the 3rd ACM International Conference on AI in Finance, 2022

2021
K-means tree: an optimal clustering tree for unsupervised learning.
J. Supercomput., 2021

Uncertainty Quantification of the 4th kind; optimal posterior accuracy-uncertainty tradeoff with the minimum enclosing ball.
CoRR, 2021

Deterministic Iteratively Built KD-Tree with KNN Search for Exact Applications.
CoRR, 2021

Decision Theoretic Bootstrapping.
CoRR, 2021

Adversarial Poisoning Attacks and Defense for General Multi-Class Models Based On Synthetic Reduced Nearest Neighbors.
CoRR, 2021

2020
Interpretable Synthetic Reduced Nearest Neighbor: An Expectation Maximization Approach.
Proceedings of the IEEE International Conference on Image Processing, 2020

2018
Discrete linear-complexity reinforcement learning in continuous action spaces for Q-learning algorithms.
CoRR, 2018

2017
Intrinsic Frequency Analysis and Fast Algorithms.
CoRR, 2017

2015
The ghost solid methods for the elastic-plastic solid-solid interface and the ϑ-criterion.
J. Comput. Phys., 2015

2014
Extraction of Intrawave Signals Using the Sparse Time-Frequency Representation Method.
Multiscale Model. Simul., 2014

2013
Convergence of a data-driven time-frequency analysis method
CoRR, 2013

Sparse Time Frequency Representations and Dynamical Systems.
CoRR, 2013


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