Large-Scale Spectrum Occupancy Learning via Tensor Decomposition and LSTM Networks. - Mohsen Joneidi; Ismail Alkhouri; Nazanin Rahnavard (CoRR, 2019)

Steady-State Policy Synthesis in Multichain Markov Decision Processes. - George K. Atia; Andre Beckus; Ismail Alkhouri; Alvaro Velasquez (IJCAI, 2020)

Adversarial Perturbation Attacks on GLRT-Based Detectors. - Ismail Alkhouri; George K. Atia; Wasfy Mikhael (ISCAS, 2020)

Adversarial Attacks on Hierarchical Composite Classifiers VIA Convex Programming. - Ismail Alkhouri; George K. Atia (MLSP, 2020)

A Minimax Approach to Perturbation Attacks on Hierarchical Image Classifiers. - Ismail Alkhouri; Zaid Matloub; George K. Atia; Wasfy Mikhael (MWSCAS, 2020)

Verifiable Planning in Expected Reward Multichain MDPs. - George K. Atia; Andre Beckus; Ismail Alkhouri; Alvaro Velasquez (CoRR, 2020)

Dynamic Automaton-Guided Reward Shaping for Monte Carlo Tree Search. - Alvaro Velasquez; Brett Bissey; Lior Barak; Andre Beckus; Ismail Alkhouri; Daniel Melcer; George K. Atia (AAAI, 2021)

Adversarial Attacks on Coarse-to-Fine Classifiers. - Ismail R. Alkhouri; George K. Atia (ICASSP, 2021)

Targeted Attacks in Hierarchical Settings via Convex Programming. - Ismail R. Alkhouri; George K. Atia (IJCNN, 2021)

Adversarial Perturbation Attacks on Nested Dichotomies Classification Systems. - Ismail R. Alkhouri; Alvaro Velasquez; George K. Atia (MLSP, 2021)

Adversarial Attacks on Multi-Level Fault Detection and Diagnosis Systems. - Akram S. Awad; Ismail R. Alkhouri; George K. Atia (MLSP, 2021)

Steady-State Planning in Expected Reward Multichain MDPs. - George K. Atia; Andre Beckus; Ismail Alkhouri; Alvaro Velasquez (J. Artif. Intell. Res., 2021)

On the Coarse Robustness of Classifiers. - Ismail R. Alkhouri; Stanley Bak; Alvaro Velasquez; George K. Atia (IEEECONF, 2022)

Multi-Agent Tree Search with Dynamic Reward Shaping. - Alvaro Velasquez; Brett Bissey; Lior Barak; Daniel Melcer; Andre Beckus; Ismail Alkhouri; George K. Atia (ICAPS, 2022)

Controller Synthesis for Omega-Regular and Steady-State Specifications. - Alvaro Velasquez; Ismail Alkhouri; Andre Beckus; Ashutosh Trivedi 001; George K. Atia (AAMAS, 2022)

Synthesis of Adversarial Samples in Two-Stage Classifiers. - Ismail R. Alkhouri; Alvaro Velasquez; George K. Atia (ICASSP, 2022)

A Differentiable Approach to the Maximum Independent Set Problem Using Graph-Based Neural Network Structures. - Ismail R. Alkhouri; George K. Atia; Alvaro Velasquez (MLSP, 2022)

BOSS: Bidirectional One-Shot Synthesis of Adversarial Examples. - Ismail R. Alkhouri; Alvaro Velasquez; George K. Atia (MLSP, 2022)

The Minimum Value State Problem in Actor-Critic Networks. - Alvaro Velasquez; Ismail R. Alkhouri; Brett Bissey; Lior Barak; George K. Atia (MLSP, 2022)

A Differentiable Approach to Combinatorial Optimization using Dataless Neural Networks. - Ismail R. Alkhouri; George K. Atia; Alvaro Velasquez (CoRR, 2022)

A differentiable approach to the maximum independent set problem using dataless neural networks. - Ismail R. Alkhouri; George K. Atia; Alvaro Velasquez (Neural Networks, 2022)

A Non-Targeted Attack Approach for the Coarse Misclassification Problem. - Ismail R. Alkhouri; Alvaro Velasquez; George K. Atia (IJCNN, 2023)

A Discriminative Approach To Unsupervised Domain Adaptation in Coarse-To-Fine Classifiers. - Ismail R. Alkhouri; Akram S. Awad; Connor Hatfield; George K. Atia (MLSP, 2023)

On the Robustness of AlphaFold: A COVID-19 Case Study. - Ismail Alkhouri; Sumit Kumar Jha 001; Andre Beckus; George K. Atia; Alvaro Velasquez; Rickard Ewetz; Arvind Ramanathan; Susmit Jha (CoRR, 2023)

Robust MRI Reconstruction by Smoothed Unrolling (SMUG). - Shijun Liang; Van Hoang Minh Nguyen; Jinghan Jia; Ismail Alkhouri; Sijia Liu 001; Saiprasad Ravishankar (CoRR, 2023)

Improving Efficiency of Diffusion Models via Multi-Stage Framework and Tailored Multi-Decoder Architectures. - Huijie Zhang; Yifu Lu; Ismail Alkhouri; Saiprasad Ravishankar; Dogyoon Song; Qing Qu 001 (CoRR, 2023)

Optimal Deterministic Controller Synthesis from Steady-State Distributions. - Alvaro Velasquez; Ismail Alkhouri; K. Subramani 001; Piotr Wojciechowski 002; George K. Atia (J. Autom. Reason., 2023)

Fooling the Big Picture in Classification Tasks. - Ismail Alkhouri; George K. Atia; Wasfy Mikhael (Circuits Syst. Signal Process., 2023)

Improving Training Efficiency of Diffusion Models via Multi-Stage Framework and Tailored Multi-Decoder Architecture. - Huijie Zhang; Yifu Lu; Ismail Alkhouri; Saiprasad Ravishankar; Dogyoon Song; Qing Qu 001 (CVPR, 2024)

Diffusion-Based Adversarial Purification for Robust Deep Mri Reconstruction. - Ismail Alkhouri; Shijun Liang; Rongrong Wang; Qing Qu 001; Saiprasad Ravishankar (ICASSP, 2024)

Image Reconstruction Via Autoencoding Sequential Deep Image Prior. - Ismail Alkhouri; Shijun Liang; Evan Bell; Qing Qu 001; Rongrong Wang; Saiprasad Ravishankar (NeurIPS, 2024)

Decoupled Data Consistency with Diffusion Purification for Image Restoration. - Xiang Li; Soo Min Kwon; Ismail R. Alkhouri; Saiprasad Ravishankar; Qing Qu 001 (CoRR, 2024)

Dataless Quadratic Neural Networks for the Maximum Independent Set Problem. - Ismail Alkhouri; Cedric Le Denmat; Yingjie Li; Cunxi Yu; Jia Liu; Rongrong Wang; Alvaro Velasquez (CoRR, 2024)

SITCOM: Step-wise Triple-Consistent Diffusion Sampling for Inverse Problems. - Ismail Alkhouri; Shijun Liang; Cheng-Han Huang; Jimmy Dai; Qing Qu 001; Saiprasad Ravishankar; Rongrong Wang (CoRR, 2024)

Structure-Preserving Network Compression Via Low-Rank Induced Training Through Linear Layers Composition. - Ismail Alkhouri; Xitong Zhang; Rongrong Wang (Trans. Mach. Learn. Res., 2024)

Imperceptible Attacks on Fault Detection and Diagnosis Systems in Smart Buildings. - Ismail R. Alkhouri; Akram S. Awad; Qun Zhou Sun; George K. Atia (IEEE Trans. Ind. Informatics, 2024)

Controller synthesis for linear temporal logic and steady-state specifications. - Alvaro Velasquez; Ismail Alkhouri; Andre Beckus; Ashutosh Trivedi 001; George K. Atia (Auton. Agents Multi Agent Syst., 2024)

Exploring the Predictive Capabilities of AlphaFold Using Adversarial Protein Sequences. - Ismail R. Alkhouri; Sumit Kumar Jha 001; Andre Beckus; George K. Atia; Susmit Jha; Rickard Ewetz; Alvaro Velasquez (IEEE Trans. Artif. Intell., 2024)

Sequential Diffusion-Guided Deep Image Prior for Medical Image Reconstruction. - Shijun Liang; Ismail Alkhouri; Qing Qu 001; Rongrong Wang; Saiprasad Ravishankar (ICASSP, 2025)

UGoDIT: Unsupervised Group Deep Image Prior Via Transferable Weights. - Shijun Liang; Ismail R. Alkhouri; Siddhant Gautam; Qing Qu 001; Saiprasad Ravishankar (CoRR, 2025)

A Dataless Reinforcement Learning Approach to Rounding Hyperplane Optimization for Max-Cut. - Gabriel Malikal; Ismail Alkhouri; Alvaro Velasquez; Adam M. Alessio; Saiprasad Ravishankar (CoRR, 2025)