- Seyed Roozbeh Razavi Rohani, Saeed Hedayatian, Mahdieh Soleymani Baghshah:
BIMRL: Brain Inspired Meta Reinforcement Learning. CoRR abs/2210.16530 (2022) - 2021
- Faezeh Faez, Yassaman Ommi, Mahdieh Soleymani Baghshah, Hamid R. Rabiee:
Deep Graph Generators: A Survey. IEEE Access 9: 106675-106702 (2021) - Ehsan Montahaei, Danial Alihosseini, Mahdieh Soleymani Baghshah:
DGSAN: Discrete generative self-adversarial network. Neurocomputing 448: 364-379 (2021) - Mahdi Soleymani, Ramy E. Ali, Hessam Mahdavifar, Amir Salman Avestimehr:
List-Decodable Coded Computing: Breaking the Adversarial Toleration Barrier. IEEE J. Sel. Areas Inf. Theory 2(3): 867-878 (2021) - Mahdi Soleymani, Mohammad Vahid Jamali, Hessam Mahdavifar:
Coded Computing via Binary Linear Codes: Designs and Performance Limits. IEEE J. Sel. Areas Inf. Theory 2(3): 879-892 (2021) - Mahdi Soleymani, Hessam Mahdavifar, Amir Salman Avestimehr:
Analog Lagrange Coded Computing. IEEE J. Sel. Areas Inf. Theory 2(1): 283-295 (2021) - Alireza Roshanzamir, Hamid Aghajan, Mahdieh Soleymani Baghshah:
Transformer-based deep neural network language models for Alzheimer's disease risk assessment from targeted speech. BMC Medical Informatics Decis. Mak. 21(1): 92 (2021) - Mahdi Soleymani, Hessam Mahdavifar:
Distributed Multi-User Secret Sharing. IEEE Trans. Inf. Theory 67(1): 164-178 (2021) - Adeleh Bitarafan, Mahdi Nikdan, Mahdieh Soleymani Baghshah:
3D Image Segmentation With Sparse Annotation by Self-Training and Internal Registration. IEEE J. Biomed. Health Informatics 25(7): 2665-2672 (2021) - Ruchika Verma, Neeraj Kumar, Abhijeet Patil, Nikhil Cherian Kurian, Swapnil Rane, Simon Graham, Quoc Dang Vu, Mieke Zwager, Shan-E-Ahmed Raza, Nasir M. Rajpoot, Xiyi Wu, Huai Chen, Yijie Huang, Lisheng Wang, Hyun Jung, G. Thomas Brown, Yanling Liu, Shuolin Liu, Seyed Alireza Fatemi Jahromi, Ali Asghar Khani, Ehsan Montahaei, Mahdieh Soleymani Baghshah, Hamid Behroozi, Pavel Semkin, Alexandr Rassadin, Prasad Dutande, Romil Lodaya, Ujjwal Baid, Bhakti Baheti, Sanjay N. Talbar, Amirreza Mahbod, Rupert Ecker, Isabella Ellinger, Zhipeng Luo, Bin Dong, Zhengyu Xu, Yuehan Yao, Shuai Lv, Ming Feng, Kele Xu, Hasib Zunair, Abdessamad Ben Hamza, Steven M. Smiley, Tang-Kai Yin, Qi-Rui Fang, Shikhar Srivastava, Dwarikanath Mahapatra, Lubomira Trnavska, Hanyun Zhang, Priya Lakshmi Narayanan, Justin Law, Yinyin Yuan, Abhiroop Tejomay, Aditya Mitkari, Dinesh Koka, Vikas Ramachandra, Lata Kini, Amit Sethi:
MoNuSAC2020: A Multi-Organ Nuclei Segmentation and Classification Challenge. IEEE Trans. Medical Imaging 40(12): 3413-3423 (2021) - Seyed Ahmad Soleymani, Shidrokh Goudarzi, Mohammad Hossein Anisi, Mahdi Zareei, Abdul Hanan Abdullah, Nazri Kama:
A security and privacy scheme based on node and message authentication and trust in fog-enabled VANET. Veh. Commun. 29: 100335 (2021) - Hassan Hafez-Kolahi, Behrad Moniri, Shohreh Kasaei, Mahdieh Soleymani Baghshah:
Rate-Distortion Analysis of Minimum Excess Risk in Bayesian Learning. ICML 2021: 3998-4007 - Abed Soleymani, Ali Torabi, Mahdi Tavakoli:
A Low-cost Intrinsically Safe Mechanism for Physical Distancing Between Clinicians and Patients. ICRA 2021: 3677-3683 - Abed Soleymani, Xingyu Li, Mahdi Tavakoli:
Deep Neural Skill Assessment and Transfer: Application to Robotic Surgery Training. IROS 2021: 8822-8829 - Mahdi Soleymani, Ramy E. Ali, Hessam Mahdavifar, Amir Salman Avestimehr:
List-Decodable Coded Computing: Breaking the Adversarial Toleration Barrier. ISIT 2021: 1206-1211 - Mahdi Soleymani, Hessam Mahdavifar:
New Packings in Grassmannian Space. ISIT 2021: 807-812 - Mahdi Soleymani, Hessam Mahdavifar, Amir Salman Avestimehr:
Analog Privacy-Preserving Coded Computing. ISIT 2021: 1865-1870 - Abed Soleymani, Ali Akbar Sadat Asl, Mojtaba Yeganejou, Scott Dick, Mahdi Tavakoli, Xingyu Li:
Surgical Skill Evaluation From Robot-Assisted Surgery Recordings. ISMR 2021: 1-6 - Mahsa Ghorbani, Mojtaba Bahrami, Anees Kazi, Mahdieh Soleymani Baghshah, Hamid R. Rabiee, Nassir Navab:
GKD: Semi-supervised Graph Knowledge Distillation for Graph-Independent Inference. MICCAI (5) 2021: 709-718 - Mohammadamin Banayeeanzade, Rasoul Mirzaiezadeh, Hosein Hasani, Mahdieh Soleymani:
Generative vs. Discriminative: Rethinking The Meta-Continual Learning. NeurIPS 2021: 21592-21604 - Mahdi Soleymani, Ramy E. Ali, Hessam Mahdavifar, Amir Salman Avestimehr:
List-Decodable Coded Computing: Breaking the Adversarial Toleration Barrier. CoRR abs/2101.11653 (2021) - Sina Hajimiri, Aryo Lotfi, Mahdieh Soleymani Baghshah:
Semi-Supervised Disentanglement of Class-Related and Class-Independent Factors in VAE. CoRR abs/2102.00892 (2021) - Mahsa Ghorbani, Anees Kazi, Mahdieh Soleymani Baghshah, Hamid R. Rabiee, Nassir Navab:
RA-GCN: Graph Convolutional Network for Disease Prediction Problems with Imbalanced Data. CoRR abs/2103.00221 (2021) - Tohid Soleymani Aghdam, Seyed Mohammad Mahdi Alavi, Mehrdad Saif:
Structural Identifiability of Impedance Spectroscopy Fractional-Order Equivalent Circuit Models With Two Constant Phase Elements. CoRR abs/2103.00226 (2021) - Mahdi Soleymani, Mohammad Vahid Jamali, Hessam Mahdavifar:
Coded Computing via Binary Linear Codes: Designs and Performance Limits. CoRR abs/2103.01503 (2021) - Mahsa Ghorbani, Mojtaba Bahrami, Anees Kazi, Mahdieh Soleymani Baghshah, Hamid R. Rabiee, Nassir Navab:
GKD: Semi-supervised Graph Knowledge Distillation for Graph-Independent Inference. CoRR abs/2104.03597 (2021) - Hassan Hafez-Kolahi, Behrad Moniri, Shohreh Kasaei, Mahdieh Soleymani Baghshah:
Rate-Distortion Analysis of Minimum Excess Risk in Bayesian Learning. CoRR abs/2105.04180 (2021) - Maryam Soleymani, Mahdi Bonyani, Hadi Mahami, Farnad Nasirzadeh:
Construction material classification on imbalanced datasets for construction monitoring automation using Vision Transformer (ViT) architecture. CoRR abs/2108.09527 (2021) - Mahdi Soleymani, Ramy E. Ali, Hessam Mahdavifar, Amir Salman Avestimehr:
ApproxIFER: A Model-Agnostic Approach to Resilient and Robust Prediction Serving Systems. CoRR abs/2109.09868 (2021) - Matin Yousefabadi, Yassaman Ommi, Faezeh Faez, Amirmojtaba Sabour, Mahdieh Soleymani Baghshah, Hamid R. Rabiee:
CCGG: A Deep Autoregressive Model for Class-Conditional Graph Generation. CoRR abs/2110.03800 (2021)