| Smarts: An open-source scalable multi-agent rl training school for autonomous driving M Zhou, J Luo, J Villella, Y Yang, D Rusu, J Miao, W Zhang, M Alban, ... Conference on robot learning, 264-285, 2021 | 233 | 2021 |
| Robust locally-linear controllable embedding E Banijamali, R Shu, M Ghavamzadeh, H Bui, A Ghodsi International Conference on Artificial Intelligence and Statistics (AISTATS …, 2017 | 113 | 2017 |
| Online algorithms for sum-product networks with continuous variables P Jaini, A Rashwan, H Zhao, Y Liu, E Banijamali, Z Chen, P Poupart Conference on probabilistic graphical models, 228-239, 2016 | 31 | 2016 |
| Fast Spectral Clustering Using Autoencoders and Landmarks E Banijamali, A Ghodsi International Conference on Image Analysis and Recognition (ICIAR) 2017, 2017 | 21 | 2017 |
| Generative Mixture of Networks E Banijamali, A Ghodsi, P Poupart International Joint Conference on Neural Networks (IJCNN) 2017, 2017 | 18 | 2017 |
| JADE: Joint Autoencoders for Dis-Entanglement E Banijamali, AH Karimi, A Wong, A Ghodsi NIPS 2017 workshop on Learning Disentangled Representations, 2017 | 16 | 2017 |
| AdaZeta: Adaptive zeroth-order tensor-train adaption for memory-efficient large language models fine-tuning Y Yang, K Zhen, E Banijamal, A Mouchtaris, Z Zhang arXiv preprint arXiv:2406.18060, 2024 | 13 | 2024 |
| Deep Variational Sufficient Dimensionality Reduction E Banijamali, AH Karimi, A Ghodsi Third workshop on Bayesian Deep Learning (NeurIPS 2018), 2018 | 12 | 2018 |
| Optimizing over a restricted policy class in Markov decision processes E Banijamali, Y Abbasi-Yadkori, M Ghavamzadeh, N Vlassis International Conference on Artificial Intelligence and Statistics (AISTATS …, 2018 | 12* | 2018 |
| Gabor Barcodes for Medical Image Retrieval M Nouredanesh, HR Tizhoosh, E Banijamali International Conference on Image Processing (ICIP) 2016, 2016 | 12 | 2016 |
| Radon-Gabor Barcodes for Medical Image Retrieval M Nouredanesh, HR Tizhoosh, E Banijamali, J Tung International Conference on Pattern Recognition (ICPR) 2016, 2016 | 9 | 2016 |
| Neural Relational Inference with Node-Specific Information E Banijamali International Conference on Learning Representations, ICLR, 2022 | 6 | 2022 |
| Self-supervised simultaneous multi-step prediction of road dynamics and cost map E Amirloo, M Rohani, E Banijamali, J Luo, P Poupart Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 4 | 2021 |
| Prediction by Anticipation: An Action-Conditional Prediction Method based on Interaction Learning E Banijamali, M Rohani, E Amirloo, J Luo, P Poupart Proceedings of the IEEE/CVF International Conference on Computer Vision, 2021 | 4 | 2021 |
| Semi-supervised representation learning based on probabilistic labeling E Banijamali, A Ghodsi NeurIPS 2019 workshop on Machine Learning with Guarantees, 2016 | 4 | 2016 |
| System and method for managing flexible control of vehicles by diverse agents in autonomous driving simulation J Luo, J Villella, M Rohani, R David, M Alban, SE Banijamali US Patent 11,458,983, 2022 | 3 | 2022 |
| On The effect of self-interference in Gaussian two-way channels with erased outputs E Banijamali, K Moshksar, AK Khandani International Symposium on Information Theory (ISIT) 2013, 2800-2804, 2013 | 3 | 2013 |
| Pyramid dynamic inference: Encouraging faster inference via early exit boosting E Banijamali, P Kharazmi, S Eghbali, J Wang, C Chung, S Choudhary ICASSP 2023-2023 IEEE International Conference on Acoustics, Speech and …, 2023 | 2 | 2023 |
| Methods and systems for observation prediction in autonomous vehicles E Banijamali, M Rohani US Patent App. 17/022,771, 2021 | 2 | 2021 |
| Disentangling Dynamics and Content for Control and Planning E Banijamali, A Khajenezhad, A Ghodsi, M Ghavamzadeh NIPS 2017 workshop on Learning Disentangled Representations, 2017 | 2 | 2017 |
Ali GhodsiProfessor of Statistics and Computer Science, University of Waterloo確認したメール アドレス: uwaterloo.ca