ECE Department
UT Austin
| A. Lotfi Rezaabad, S. Kumar, J. Tamir, and S. Vishwanath, Few-Max: Few-Shot Domain Adaptation for Unsupervised Contrastive Representation Learning, Preprint, under review. (ArXiv) |
| A. Lotfi Rezaabad, R. Kalantari, S. Vishwanath, M. Zhou, and J. Tamir, Hyperbolic Graph Embedding with Enhanced Semi-Implicit Variational Inference, Proceedings of The 24th International Conference on Artificial Intelligence and Statistics, AISTATS 2021. (PMLR) |
| F. Sheikholeslami, A. Lotfi Rezaabad, and Zico Kolter, Provably robust classification of adversarial examples with detection, The Ninth International Conference on Learning Representations , ICLR 2021. (OpenReview) |
| A. Lotfi Rezaabad, and S. Vishwanath, Learning Representations by Maximizing Mutual Information in Variational Autoencoders, 2020 IEEE International Symposium on Information Theory, ISIT 2020.(IEEE) (ArXiv) |
| A. Lotfi Rezaabad, and S. Vishwanath, Long Short-Term Memory Spiking Networks and Their Applications, International Conference on Neuromorphic Systems 2020, ICON 2020.(ACM) (ArXiv) |
| A. Lotfi Rezaabad R. Peters, A. Shande, and S. Vishwanath, Phenotyping Patients with Asthma: Preprocessing, and Clustering Algorithms, 2020 Machine Learning for Healthcare Conference, Clinical Abstract, MLHC 2020.(MLHC 2020) |
| A. Lotfi Rezaabad, H. Beyranvand, J. A. Salehi and M. Maier, Ultra-Dense 5G Small Cell Deployment for Fiber and Wireless Backhaul-Aware Infrastructures, IEEE Transactions on Vehicular Technology, vol. 67, no. 12, Dec. 2018. (IEEE)(ArXiv) |
| A. Lotfi Rezaabad, S. Talebi, A. Chizari, Two quasi orthogonal space-time block codes with better performance and low complexity decoder, 10th International Symposium on Communication Systems, Networks and Digital Signal Processing, CSNDSP 2016. (IEEE)(ArXiv) |
| V. Amiri, M. Hosseini, A. Lotfi Rezaabad, S. Talebi, Performance enhancement of the Golden code by utilizing the ORIOL antenna, 8th International Symposium on Telecommunications IST 2016. (IEEE)(ArXiv) |