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Seyed Ershad Banijamali
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2020 – today
- 2024
- [c13]Yifan Yang, Kai Zhen, Ershad Banijamali, Athanasios Mouchtaris, Zheng Zhang:
AdaZeta: Adaptive Zeroth-Order Tensor-Train Adaption for Memory-Efficient Large Language Models Fine-Tuning. EMNLP 2024: 977-995 - [i15]Yifan Yang, Kai Zhen, Ershad Banijamali, Athanasios Mouchtaris, Zheng Zhang:
AdaZeta: Adaptive Zeroth-Order Tensor-Train Adaption for Memory-Efficient Large Language Models Fine-Tuning. CoRR abs/2406.18060 (2024) - 2023
- [c12]Ershad Banijamali, Pegah Kharazmi, Sepehr Eghbali, Jixuan Wang, Clement Chung, Samridhi Choudhary:
Pyramid Dynamic Inference: Encouraging Faster Inference Via Early Exit Boosting. ICASSP 2023: 1-5 - 2022
- [c11]Ershad Banijamali:
Neural Relational Inference with Node-Specific Information. ICLR 2022 - 2021
- [b1]Seyedershad Banijamali:
Prediction and Planning in Dynamical Systems with Underlying Markov Decision Processes. University of Waterloo, Ontario, Canada, 2021 - [c10]Elmira Amirloo Abolfathi, Mohsen Rohani, Ershad Banijamali, Jun Luo, Pascal Poupart:
Self-Supervised Simultaneous Multi-Step Prediction of Road Dynamics and Cost Map. CVPR 2021: 8494-8503 - [c9]Ershad Banijamali, Mohsen Rohani, Elmira Amirloo Abolfathi, Jun Luo, Pascal Poupart:
Prediction by Anticipation: An Action-Conditional Prediction Method based on Interaction Learning. ICCV 2021: 15601-15610 - [i14]Elmira Amirloo Abolfathi, Mohsen Rohani, Ershad Banijamali, Jun Luo, Pascal Poupart:
Self-Supervised Simultaneous Multi-Step Prediction of Road Dynamics and Cost Map. CoRR abs/2103.01039 (2021) - 2020
- [i13]Ming Zhou, Jun Luo, Julian Villela, Yaodong Yang, David Rusu, Jiayu Miao, Weinan Zhang, Montgomery Alban, Iman Fadakar, Zheng Chen, Aurora Chongxi Huang, Ying Wen, Kimia Hassanzadeh, Daniel Graves, Dong Chen, Zhengbang Zhu, Nhat M. Nguyen, Mohamed Elsayed, Kun Shao, Sanjeevan Ahilan, Baokuan Zhang, Jiannan Wu, Zhengang Fu, Kasra Rezaee, Peyman Yadmellat, Mohsen Rohani, Nicolas Perez Nieves, Yihan Ni, Seyedershad Banijamali, Alexander I. Cowen-Rivers, Zheng Tian, Daniel Palenicek
, Haitham Bou-Ammar, Hongbo Zhang, Wulong Liu, Jianye Hao, Jun Wang:
SMARTS: Scalable Multi-Agent Reinforcement Learning Training School for Autonomous Driving. CoRR abs/2010.09776 (2020) - [i12]Ershad Banijamali, Mohsen Rohani, Elmira Amirloo Abolfathi, Jun Luo, Pascal Poupart:
Prediction by Anticipation: An Action-Conditional Prediction Method based on Interaction Learning. CoRR abs/2012.13478 (2020)
2010 – 2019
- 2019
- [c8]Ershad Banijamali, Yasin Abbasi-Yadkori, Mohammad Ghavamzadeh, Nikos Vlassis:
Optimizing over a Restricted Policy Class in MDPs. AISTATS 2019: 3042-3050 - 2018
- [c7]Ershad Banijamali, Rui Shu, Mohammad Ghavamzadeh, Hung Bui, Ali Ghodsi:
Robust Locally-Linear Controllable Embedding. AISTATS 2018: 1751-1759 - [i11]Ershad Banijamali, Yasin Abbasi-Yadkori, Mohammad Ghavamzadeh, Nikos Vlassis:
Optimizing over a Restricted Policy Class in Markov Decision Processes. CoRR abs/1802.09646 (2018) - [i10]Ershad Banijamali, Amir-Hossein Karimi, Ali Ghodsi:
Deep Variational Sufficient Dimensionality Reduction. CoRR abs/1812.07641 (2018) - 2017
- [c6]Ershad Banijamali, Ali Ghodsi:
Fast Spectral Clustering Using Autoencoders and Landmarks. ICIAR 2017: 380-388 - [c5]Ershad Banijamali, Ali Ghodsi, Pascal Poupart:
Generative mixture of networks. IJCNN 2017: 3753-3760 - [i9]Ershad Banijamali, Ali Ghodsi, Pascal Poupart:
Generative Mixture of Networks. CoRR abs/1702.03307 (2017) - [i8]Ershad Banijamali, Ali Ghodsi:
Fast Spectral Clustering Using Autoencoders and Landmarks. CoRR abs/1704.02345 (2017) - [i7]Ershad Banijamali, Rui Shu, Mohammad Ghavamzadeh, Hung Bui, Ali Ghodsi:
Robust Locally-Linear Controllable Embedding. CoRR abs/1710.05373 (2017) - [i6]Ershad Banijamali, Amir-Hossein Karimi, Alexander Wong, Ali Ghodsi:
JADE: Joint Autoencoders for Dis-Entanglement. CoRR abs/1711.09163 (2017) - [i5]Ershad Banijamali, Ahmad Khajenezhad, Ali Ghodsi, Mohammad Ghavamzadeh:
Disentangling Dynamics and Content for Control and Planning. CoRR abs/1711.09165 (2017) - 2016
- [c4]Mina Nouredanesh, Hamid R. Tizhoosh, Ershad Banijamali:
Gabor barcodes for medical image retrieval. ICIP 2016: 2490-2493 - [c3]Mina Nouredanesh, Hamid R. Tizhoosh, Ershad Banijamali, James Tung:
Radon-Gabor barcodes for medical image retrieval. ICPR 2016: 1309-1314 - [c2]Priyank Jaini, Abdullah Rashwan, Han Zhao, Yue Liu, Ershad Banijamali, Zhitang Chen, Pascal Poupart:
Online Algorithms for Sum-Product Networks with Continuous Variables. Probabilistic Graphical Models 2016: 228-239 - [i4]Ershad Banijamali:
Gaussian Two-Way Channels With Discrete Inputs and Quantized Outputs. CoRR abs/1605.00979 (2016) - [i3]Ershad Banijamali, Ali Ghodsi:
Semi-Supervised Representation Learning based on Probabilistic Labeling. CoRR abs/1605.03072 (2016) - [i2]Mina Nouredanesh, Hamid R. Tizhoosh, Ershad Banijamali:
Gabor Barcodes for Medical Image Retrieval. CoRR abs/1605.04478 (2016) - [i1]Mina Nouredanesh, Hamid R. Tizhoosh, Ershad Banijamali, James Tung:
Radon-Gabor Barcodes for Medical Image Retrieval. CoRR abs/1609.05118 (2016) - 2013
- [c1]Seyed Ershad Banijamali, Kamyar Moshksar, Amir K. Khandani:
On The effect of self-interference in Gaussian two-way channels with erased outputs. ISIT 2013: 2800-2804
Coauthor Index
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