Ismail Alkhouri

Rongrong Wang

CoRR, 2024

Dataless Quadratic Neural Networks for the Maximum Independent Set Problem.

[BibT_eX]

[DOI]

CoRR, 2024

Structure-Preserving Network Compression Via Low-Rank Induced Training Through Linear Layers Composition.

[BibT_eX]

[DOI]

Xitong Zhang

Rongrong Wang

CoRR, 2024

Decoupled Data Consistency with Diffusion Purification for Image Restoration.

[BibT_eX]

[DOI]

Xiang Li

Soo Min Kwon

Qing Qu

CoRR, 2024

Diffusion-Based Adversarial Purification for Robust Deep Mri Reconstruction.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2024

Improving Training Efficiency of Diffusion Models via Multi-Stage Framework and Tailored Multi-Decoder Architecture.

[BibT_eX]

[DOI]

Huijie Zhang

Yifu Lu

Dogyoon Song

Qing Qu

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

Fooling the Big Picture in Classification Tasks.

[BibT_eX]

[DOI]

Wasfy Mikhael

Circuits Syst. Signal Process., April, 2023

Optimal Deterministic Controller Synthesis from Steady-State Distributions.

[BibT_eX]

[DOI]

J. Autom. Reason., March, 2023

Improving Efficiency of Diffusion Models via Multi-Stage Framework and Tailored Multi-Decoder Architectures.

[BibT_eX]

[DOI]

Huijie Zhang

Yifu Lu

Dogyoon Song

Qing Qu

CoRR, 2023

Robust MRI Reconstruction by Smoothed Unrolling (SMUG).

[BibT_eX]

[DOI]

Shijun Liang

Van Hoang Minh Nguyen

Jinghan Jia

Sijia Liu

CoRR, 2023

On the Robustness of AlphaFold: A COVID-19 Case Study.

[BibT_eX]

[DOI]

CoRR, 2023

A Discriminative Approach To Unsupervised Domain Adaptation in Coarse-To-Fine Classifiers.

[BibT_eX]

[DOI]

Proceedings of the 33rd IEEE International Workshop on Machine Learning for Signal Processing, 2023

A Non-Targeted Attack Approach for the Coarse Misclassification Problem.

[BibT_eX]

[DOI]

Proceedings of the International Joint Conference on Neural Networks, 2023

2022

A differentiable approach to the maximum independent set problem using dataless neural networks.

[BibT_eX]

[DOI]

Neural Networks, 2022

A Differentiable Approach to Combinatorial Optimization using Dataless Neural Networks.

[BibT_eX]

[DOI]

CoRR, 2022

The Minimum Value State Problem in Actor-Critic Networks.

[BibT_eX]

[DOI]

Proceedings of the 32nd IEEE International Workshop on Machine Learning for Signal Processing, 2022

BOSS: Bidirectional One-Shot Synthesis of Adversarial Examples.

[BibT_eX]

[DOI]

Proceedings of the 32nd IEEE International Workshop on Machine Learning for Signal Processing, 2022

A Differentiable Approach to the Maximum Independent Set Problem Using Graph-Based Neural Network Structures.

[BibT_eX]

[DOI]

Proceedings of the 32nd IEEE International Workshop on Machine Learning for Signal Processing, 2022

Synthesis of Adversarial Samples in Two-Stage Classifiers.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2022

Controller Synthesis for Omega-Regular and Steady-State Specifications.

[BibT_eX]

[DOI]

Proceedings of the 21st International Conference on Autonomous Agents and Multiagent Systems, 2022

Multi-Agent Tree Search with Dynamic Reward Shaping.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Second International Conference on Automated Planning and Scheduling, 2022

On the Coarse Robustness of Classifiers.

[BibT_eX]

[DOI]

Proceedings of the 56th Asilomar Conference on Signals, Systems, and Computers, ACSSC 2022, Pacific Grove, CA, USA, October 31, 2022

2021

Steady-State Planning in Expected Reward Multichain MDPs.

[BibT_eX]

[DOI]

J. Artif. Intell. Res., 2021

Adversarial Attacks on Multi-Level Fault Detection and Diagnosis Systems.

[BibT_eX]

[DOI]

Akram S. Awad

Proceedings of the 2021 IEEE 31st International Workshop on Machine Learning for Signal Processing (MLSP), 2021

Adversarial Perturbation Attacks on Nested Dichotomies Classification Systems.

[BibT_eX]

[DOI]

Proceedings of the 2021 IEEE 31st International Workshop on Machine Learning for Signal Processing (MLSP), 2021

Targeted Attacks in Hierarchical Settings via Convex Programming.

[BibT_eX]

[DOI]

Proceedings of the International Joint Conference on Neural Networks, 2021

Adversarial Attacks on Coarse-to-Fine Classifiers.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2021

Dynamic Automaton-Guided Reward Shaping for Monte Carlo Tree Search.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Verifiable Planning in Expected Reward Multichain MDPs.

[BibT_eX]

[DOI]

CoRR, 2020

A Minimax Approach to Perturbation Attacks on Hierarchical Image Classifiers.

[BibT_eX]

[DOI]

Proceedings of the 63rd IEEE International Midwest Symposium on Circuits and Systems, 2020

Adversarial Attacks on Hierarchical Composite Classifiers VIA Convex Programming.

[BibT_eX]

[DOI]

Proceedings of the 30th IEEE International Workshop on Machine Learning for Signal Processing, 2020

Adversarial Perturbation Attacks on GLRT-Based Detectors.

[BibT_eX]

[DOI]

Wasfy Mikhael

Proceedings of the IEEE International Symposium on Circuits and Systems, 2020

Steady-State Policy Synthesis in Multichain Markov Decision Processes.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

2019

Large-Scale Spectrum Occupancy Learning via Tensor Decomposition and LSTM Networks.

[BibT_eX]

[DOI]

Mohsen Joneidi