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ORCIDIsmail Alkhouri
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2020 – today
- 2024
[j7]Alvaro Velasquez, Ismail Alkhouri, Andre Beckus, Ashutosh Trivedi, George K. Atia:
Controller synthesis for linear temporal logic and steady-state specifications. Auton. Agents Multi Agent Syst. 38(1): 17 (2024)- [j6]Ismail R. Alkhouri
, Sumit Kumar Jha, Andre Beckus, George K. Atia, Susmit Jha, Rickard Ewetz, Alvaro Velasquez:
Exploring the Predictive Capabilities of AlphaFold Using Adversarial Protein Sequences. IEEE Trans. Artif. Intell. 5(7): 3384-3392 (2024) - [j5]Ismail R. Alkhouri, Akram S. Awad, Qun Zhou Sun, George K. Atia:
Imperceptible Attacks on Fault Detection and Diagnosis Systems in Smart Buildings. IEEE Trans. Ind. Informatics 20(2): 2167-2176 (2024) - [c21]Huijie Zhang, Yifu Lu, Ismail Alkhouri, Saiprasad Ravishankar, Dogyoon Song, Qing Qu:
Improving Training Efficiency of Diffusion Models via Multi-Stage Framework and Tailored Multi-Decoder Architecture. CVPR 2024: 7372-7381 - [c20]Ismail Alkhouri, Shijun Liang, Rongrong Wang, Qing Qu, Saiprasad Ravishankar:
Diffusion-Based Adversarial Purification for Robust Deep Mri Reconstruction. ICASSP 2024: 12841-12845 - [c19]Ismail Alkhouri, Shijun Liang, Evan Bell, Qing Qu, Rongrong Wang, Saiprasad Ravishankar:
Image Reconstruction Via Autoencoding Sequential Deep Image Prior. NeurIPS 2024 - [i12]Xiang Li, Soo Min Kwon, Ismail R. Alkhouri, Saiprasad Ravishankar, Qing Qu:
Decoupled Data Consistency with Diffusion Purification for Image Restoration. CoRR abs/2403.06054 (2024) - [i11]Xitong Zhang, Ismail R. Alkhouri, Rongrong Wang:
Structure-Preserving Network Compression Via Low-Rank Induced Training Through Linear Layers Composition. CoRR abs/2405.03089 (2024) - [i10]Ismail Alkhouri, Cedric Le Denmat, Yingjie Li, Cunxi Yu, Jia Liu, Rongrong Wang, Alvaro Velasquez:
Dataless Quadratic Neural Networks for the Maximum Independent Set Problem. CoRR abs/2406.19532 (2024) - [i9]Ismail Alkhouri, Shijun Liang, Cheng-Han Huang, Jimmy Dai, Qing Qu, Saiprasad Ravishankar, Rongrong Wang:
SITCOM: Step-wise Triple-Consistent Diffusion Sampling for Inverse Problems. CoRR abs/2410.04479 (2024) - 2023
- [j4]Ismail Alkhouri, George K. Atia, Wasfy Mikhael:
Fooling the Big Picture in Classification Tasks. Circuits Syst. Signal Process. 42(4): 2385-2415 (2023) - [j3]Alvaro Velasquez, Ismail Alkhouri, K. Subramani, Piotr Wojciechowski, George K. Atia:
Optimal Deterministic Controller Synthesis from Steady-State Distributions. J. Autom. Reason. 67(1): 7 (2023) - [c18]Ismail R. Alkhouri, Alvaro Velasquez, George K. Atia:
A Non-Targeted Attack Approach for the Coarse Misclassification Problem. IJCNN 2023: 1-7 - [c17]Ismail R. Alkhouri, Akram S. Awad, Connor Hatfield, George K. Atia:
A Discriminative Approach To Unsupervised Domain Adaptation in Coarse-To-Fine Classifiers. MLSP 2023: 1-6 - [i8]Ismail Alkhouri, Sumit Kumar Jha, Andre Beckus, George K. Atia, Alvaro Velasquez, Rickard Ewetz, Arvind Ramanathan, Susmit Jha:
On the Robustness of AlphaFold: A COVID-19 Case Study. CoRR abs/2301.04093 (2023) - [i7]Shijun Liang, Van Hoang Minh Nguyen, Jinghan Jia, Ismail Alkhouri, Sijia Liu, Saiprasad Ravishankar:
Robust MRI Reconstruction by Smoothed Unrolling (SMUG). CoRR abs/2312.07784 (2023) - [i6]Huijie Zhang, Yifu Lu, Ismail Alkhouri, Saiprasad Ravishankar, Dogyoon Song, Qing Qu:
Improving Efficiency of Diffusion Models via Multi-Stage Framework and Tailored Multi-Decoder Architectures. CoRR abs/2312.09181 (2023) - 2022
- [j2]Ismail R. Alkhouri, George K. Atia, Alvaro Velasquez:
A differentiable approach to the maximum independent set problem using dataless neural networks. Neural Networks 155: 168-176 (2022) - [c16]Ismail R. Alkhouri, Stanley Bak, Alvaro Velasquez, George K. Atia:
On the Coarse Robustness of Classifiers. IEEECONF 2022: 569-573 - [c15]Alvaro Velasquez, Brett Bissey, Lior Barak, Daniel Melcer, Andre Beckus, Ismail Alkhouri, George K. Atia:
Multi-Agent Tree Search with Dynamic Reward Shaping. ICAPS 2022: 652-661 - [c14]Alvaro Velasquez, Ismail Alkhouri, Andre Beckus, Ashutosh Trivedi, George K. Atia:
Controller Synthesis for Omega-Regular and Steady-State Specifications. AAMAS 2022: 1310-1318 - [c13]Ismail R. Alkhouri, Alvaro Velasquez, George K. Atia:
Synthesis of Adversarial Samples in Two-Stage Classifiers. ICASSP 2022: 4248-4252 - [c12]Ismail R. Alkhouri, George K. Atia, Alvaro Velasquez:
A Differentiable Approach to the Maximum Independent Set Problem Using Graph-Based Neural Network Structures. MLSP 2022: 1-6 - [c11]Ismail R. Alkhouri, Alvaro Velasquez, George K. Atia:
BOSS: Bidirectional One-Shot Synthesis of Adversarial Examples. MLSP 2022: 1-6 - [c10]Alvaro Velasquez, Ismail R. Alkhouri, Brett Bissey, Lior Barak, George K. Atia:
The Minimum Value State Problem in Actor-Critic Networks. MLSP 2022: 1-7 - [i5]Ismail R. Alkhouri, George K. Atia, Alvaro Velasquez:
A Differentiable Approach to Combinatorial Optimization using Dataless Neural Networks. CoRR abs/2203.08209 (2022) - 2021
- [j1]George K. Atia, Andre Beckus, Ismail Alkhouri, Alvaro Velasquez:
Steady-State Planning in Expected Reward Multichain MDPs. J. Artif. Intell. Res. 72: 1029-1082 (2021) - [c9]Alvaro Velasquez, Brett Bissey, Lior Barak, Andre Beckus, Ismail Alkhouri, Daniel Melcer, George K. Atia:
Dynamic Automaton-Guided Reward Shaping for Monte Carlo Tree Search. AAAI 2021: 12015-12023 - [c8]Ismail R. Alkhouri, George K. Atia:
Adversarial Attacks on Coarse-to-Fine Classifiers. ICASSP 2021: 2855-2859 - [c7]Ismail R. Alkhouri, George K. Atia:
Targeted Attacks in Hierarchical Settings via Convex Programming. IJCNN 2021: 1-8 - [c6]Ismail R. Alkhouri, Alvaro Velasquez, George K. Atia:
Adversarial Perturbation Attacks on Nested Dichotomies Classification Systems. MLSP 2021: 1-6 - [c5]Akram S. Awad, Ismail R. Alkhouri, George K. Atia:
Adversarial Attacks on Multi-Level Fault Detection and Diagnosis Systems. MLSP 2021: 1-6 - [i4]Alvaro Velasquez, Ashutosh Trivedi, Ismail Alkhouri, Andre Beckus, George K. Atia:
Controller Synthesis for Omega-Regular and Steady-State Specifications. CoRR abs/2106.02951 (2021) - [i3]Ismail Alkhouri, Alvaro Velasquez, George K. Atia:
BOSS: Bidirectional One-Shot Synthesis of Adversarial Examples. CoRR abs/2108.02756 (2021) - 2020
- [c4]George K. Atia, Andre Beckus, Ismail Alkhouri, Alvaro Velasquez:
Steady-State Policy Synthesis in Multichain Markov Decision Processes. IJCAI 2020: 4069-4075 - [c3]Ismail Alkhouri, George K. Atia, Wasfy Mikhael:
Adversarial Perturbation Attacks on GLRT-Based Detectors. ISCAS 2020: 1-5 - [c2]Ismail Alkhouri, George K. Atia:
Adversarial Attacks on Hierarchical Composite Classifiers VIA Convex Programming. MLSP 2020: 1-6 - [c1]Ismail Alkhouri, Zaid Matloub, George K. Atia, Wasfy Mikhael:
A Minimax Approach to Perturbation Attacks on Hierarchical Image Classifiers. MWSCAS 2020: 574-577 - [i2]George K. Atia, Andre Beckus, Ismail Alkhouri, Alvaro Velasquez:
Verifiable Planning in Expected Reward Multichain MDPs. CoRR abs/2012.02178 (2020)
2010 – 2019
- 2019
- [i1]Mohsen Joneidi, Ismail Alkhouri, Nazanin Rahnavard:
Large-Scale Spectrum Occupancy Learning via Tensor Decomposition and LSTM Networks. CoRR abs/1905.04392 (2019)
Coauthor Index
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