| Structural consistency and controllability for diverse colorization S Messaoud, D Forsyth, AG Schwing Proceedings of the European Conference on Computer Vision (ECCV), 596-612, 2018 | 48 | 2018 |
| DeepQAMVS: Query-Aware Hierarchical Pointer Networks for Multi-Video Summarization S Messaoud, I Lourentzou, A Boughoula, M Zehni, Z Zhao, C Zhai, ... arXiv preprint arXiv:2105.06441, 2021 | 11 | 2021 |
| Accelerating genomic data parsing on field programmable gate arrays S Messaoud, T Ogasawara US Patent 20,180,068,000, 2018 | 11 | 2018 |
| Reaction–diffusion modelling for microphysiometry on cellular specimens D Grundl, X Zhang, S Messaoud, C Pfister, F Demmel, MS Mommer, ... Medical & biological engineering & computing 51, 387-395, 2013 | 10 | 2013 |
| Optimal Architecture Synthesis for Aircraft Electrical Power Systems S Messaoud T.U. Munich – U.C. Berkeley,, 2013 | 8 | 2013 |
| Impact of adversarial training on robustness and generalizability of language models E Altinisik, H Sajjad, HT Sencar, S Messaoud, S Chawla arXiv preprint arXiv:2211.05523, 2022 | 7 | 2022 |
| Medical Record Problem List Generation MV Devarakonda, S Messaoud, CH Tsou US Patent 20,180,349,555, 2018 | 6 | 2018 |
| Can We Learn Heuristics For Graphical Model Inference Using Reinforcement Learning? S Messaoud, M Kumar, AG Schwing CVPR 2020 (Oral), 2020 | 4 | 2020 |
| A3T: accuracy aware adversarial training E Altinisik, S Messaoud, HT Sencar, S Chawla Machine Learning 112 (9), 3191-3210, 2023 | 3 | 2023 |
| Translating discrete time Simulink to SIGNAL S Messaoud Virginia Tech, 2014 | 2 | 2014 |
| Toward more scalable structured models S Messaoud University of Illinois at Urbana-Champaign, 2021 | 1 | 2021 |
| Automatic Problem Identification by Disease Category Using Deep Learning CH Tsou, S Messaoud, JJ Liang, MV Devarakonda | 1 | 2016 |
| Accelerating SAM to BAM Parsing on FPGA S Messaoud https://www.researchgate.net/publication …, 2015 | 1 | 2015 |
| Validation study of a finite element model for reaction and diffusion using electro-chemical and mathematical methods S Messaoud Heinz-Nixdorf Lehstuhl für Medizinische Elektronik, Bachelorarbeit, TU …, 2011 | 1 | 2011 |
| : ENERGY-BASED REINFORCEMENT LEARNING WITH STEIN SOFT ACTOR CRITIC S Messaoud, B Mokeddem, Z Xue, L Pang, B An, H Chen, S Chawla NeurIPS 2023 Foundation Models for Decision Making Workshop, 2023 | | 2023 |
| SMAAT: Scalable Manifold-Aware Adversarial Training for Large Language Models E Altinisik, S Messaoud, HT Sencar, H Sajjad, S Chawla | | 2023 |
| Accelerating genomic data parsing on field programmable gate arrays S Messaoud, T Ogasawara US Patent 11,328,793, 2022 | | 2022 |
| DeepQAMVS: Query-Aware Hierarchical Pointer Networks for Multi-Video Summarization S Messaoud, I Lourentzou, A Boughoula, M Zehni, Z Zhao, C Zhai, ... ACM SIGIR 2021, 2021 | | 2021 |
| UNSUPERVISED ANALYSIS OF TRANSCRIPTOMIC DATA FOR DEMYSTIFYING THE CAUSE OF ALZHEIMER’S DISEASE Y Varatharajah, MA Younkin, X Wang, N Ertekin-Taner, S Messaoud Alzheimer's & dementia: the journal of the Alzheimer's Association, 2018 | | 2018 |
| G-CRF VAE: A Structured Output Space Variational Auto-Encoder with Deep Gaussian Conditional Random Fields for Diverse and Globally Consistent Colorization S Messaoud, D Forsyth, AG Schwing WiML Workshop, NeurIPS 2017, https://safamessaoud.web.illinois.edu/wp, 2017 | | 2017 |
Alexander SchwingUniversity of Illinois at Urbana-ChampaignVerified email at illinois.edu
