| Rankmi: A mutual information maximizing ranking loss M Kemertas, L Pishdad, KG Derpanis, A Fazly Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 47 | 2020 |
| Approximate MMSE estimator for linear dynamic systems with Gaussian mixture noise L Pishdad, F Labeau IEEE Transactions on Automatic Control 62 (5), 2457-2463, 2016 | 23 | 2016 |
| Therapy control using motion prediction L Pishdad, RA Brooks US Patent 10,293,184, 2019 | 19 | 2019 |
| Analytic minimum mean-square error bounds in linear dynamic systems with Gaussian mixture noise statistics L Pishdad, F Labeau IEEE Access 8, 67990-67999, 2020 | 18* | 2020 |
| How coherent are neural models of coherence? L Pishdad, F Fancellu, R Zhang, A Fazly Proceedings of the 28th International Conference on Computational …, 2020 | 17 | 2020 |
| Therapy control using motion prediction based on cyclic motion model RA Brooks, M Moreau, L Pishdad US Patent 10,300,303, 2019 | 11 | 2019 |
| A new reduction scheme for Gaussian Sum Filters L Pishdad, F Labeau 2014 48th Asilomar Conference on Signals, Systems and Computers, 1351-1357, 2014 | 7 | 2014 |
| A fair optimization scheduling scheme for IEEE 802.16 networks in multimedia applications L Pishdad, HR Rabiee, N Mirarmandehi Journal of Visual Communication and Image Representation 21 (2), 167-174, 2010 | 6 | 2010 |
| SAGE: Saliency-guided mixup with optimal rearrangements A Ma, N Dvornik, R Zhang, L Pishdad, KG Derpanis, A Fazly arXiv preprint arXiv:2211.00113, 2022 | 5 | 2022 |
| Indoor positioning using particle filters with optimal importance function L Pishdad, F Labeau 2012 9th Workshop on Positioning, Navigation and Communication, 77-82, 2012 | 5 | 2012 |
| Optimal importance density for position location problem with non-Gaussian noise L Pishdad, F Labeau 2013 IEEE Wireless Communications and Networking Conference (WCNC), 2143-2148, 2013 | 4 | 2013 |
| Uncertainty-based cross-modal retrieval with probabilistic representations L Pishdad, R Zhang, KG Derpanis, A Jepson, A Fazly arXiv preprint arXiv:2204.09268, 2022 | 3 | 2022 |
| Apparatus for deep representation learning and method thereof M Kemertas, L Pishdad, K Derpanis, A Fazly US Patent 11,580,392, 2023 | 1 | 2023 |
| Self-Supervised Time Series Representation Learning with Temporal-Instance Similarity Distillation A Hajimoradlou, L Pishdad, F Tung, M Karpusha First Workshop on Pre-training: Perspectives, Pitfalls, and Paths Forward at …, 2022 | 1 | 2022 |
| An optimization based uplink scheduler for IEEE 802.16 networks L Pishdad, HR Rabiee 2008 International Conference on Computer and Electrical Engineering, 482-486, 2008 | 1 | 2008 |
| SYSTEMS AND METHODS FOR SELF-SUPPERVISED TIME-SERIES REPRESENTATION LEARNING F Tung, L Pishdad, A Iajimoradlou, M Karpusha US Patent App. 18/199,611, 2024 | | 2024 |
| Multi-modal artifical neural network and a self-supervised learning method for training same SH Dumpala, A Hajimoradlou, A Abdi, L Pishdad, M Karpusha, ... US Patent App. 18/179,214, 2023 | | 2023 |
| Therapy control using motion prediction L PISHDAD, RA BROOKS | | 2021 |
| Online Bayesian estimation for indoor localization and positioning L Pishdad McGill University (Canada), 2015 | | 2015 |
| Supplementary Materials RankMI: A Mutual Information Maximizing Ranking Loss M Kemertas, L Pishdad, KG Derpanis, A Fazly | | |
