Mohammad Mehrabi

Orcid: 0000-0002-3503-533X

According to our database1, Mohammad Mehrabi authored at least 14 papers between 2018 and 2024.

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

Timeline

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Bibliography

2024
Adversarial Robustness for Latent Models: Revisiting the Robust-Standard Accuracies Tradeoff.
Oper. Res., 2024

Off-Policy Evaluation in Markov Decision Processes under Weak Distributional Overlap.
CoRR, 2024

2023
Forecasting Air Quality in Kiev During 2022 Military Conflict Using Sentinel 5P and Optimized Machine Learning.
IEEE Trans. Geosci. Remote. Sens., 2023

A Model-free Closeness-of-influence Test for Features in Supervised Learning.
Proceedings of the International Conference on Machine Learning, 2023

2022
Error-Correction for Sparse Support Recovery Algorithms.
IEEE Trans. Inf. Theory, 2022

GRASP: A Goodness-of-Fit Test for Classification Learning.
CoRR, 2022

Over-the-Air Federated Learning Exploiting Channel Perturbation.
Proceedings of the 23rd IEEE International Workshop on Signal Processing Advances in Wireless Communication, 2022

2021
Fundamental Tradeoffs in Distributionally Adversarial Training.
Proceedings of the 38th International Conference on Machine Learning, 2021

2020
Optimizing an Adaptive Neuro-Fuzzy Inference System for Spatial Prediction of Landslide Susceptibility Using Four State-of-the-art Metaheuristic Techniques.
Sensors, 2020

A Spoof Surface Plasmon Polaritons (SSPPs) Based Dual-Band-Rejection Filter with Wide Rejection Bandwidth.
Sensors, 2020

2019
Modification of landslide susceptibility mapping using optimized PSO-ANN technique.
Eng. Comput., 2019

Online Debiasing for Adaptively Collected High-dimensional Data.
CoRR, 2019

2018
Investigating the Relationship Between Shallow Groundwater, Soil Moisture and Land Surface Temperature Using Remotely Sensed Data.
Proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018

Bounds on the Approximation Power of Feedforward Neural Networks.
Proceedings of the 35th International Conference on Machine Learning, 2018


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