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Publication search results
found 100 matches
- 2024
- Mohammadreza Soltaninia, Junpeng Zhan:
Quantum Neural Networks for Solving Power System Transient Simulation Problem. CoRR abs/2405.11427 (2024) - 2022
- Cat P. Le, Mohammadreza Soltani, Juncheng Dong, Vahid Tarokh:
Fisher Task Distance and its Application in Neural Architecture Search. IEEE Access 10: 47235-47249 (2022) - Mohammadreza Soltaniyeh, Richard P. Martin, Santosh Nagarakatte:
An Accelerator for Sparse Convolutional Neural Networks Leveraging Systolic General Matrix-matrix Multiplication. ACM Trans. Archit. Code Optim. 19(3): 42:1-42:26 (2022) - Juncheng Dong, Suya Wu, Mohammadreza Soltani, Vahid Tarokh:
Multi-Agent Adversarial Attacks for Multi-Channel Communications. AAMAS 2022: 1580-1582 - Mohammadreza Soltani, Suya Wu, Yuerong Li, Jie Ding, Vahid Tarokh:
On The Energy Statistics of Feature Maps in Pruning of Neural Networks with Skip-Connections. DCC 2022: 482 - Juncheng Dong, Simiao Ren, Yang Deng, Omar Khatib, Jordan M. Malof, Mohammadreza Soltani, Willie Padilla, Vahid Tarokh:
Blaschke Product Neural Networks (BPNN): A Physics-Infused Neural Network for Phase Retrieval of Meromorphic Functions. ICLR 2022 - Cat Phuoc Le, Juncheng Dong, Mohammadreza Soltani, Vahid Tarokh:
Task Affinity with Maximum Bipartite Matching in Few-Shot Learning. ICLR 2022 - Mohammadreza Soltaniyeh, Veronica Lagrange Moutinho dos Reis, Matthew Bryson, Xuebin Yao, Richard P. Martin, Santosh Nagarakatte:
Near-Storage Processing for Solid State Drive Based Recommendation Inference with SmartSSDs®. ICPE 2022: 177-186 - Juncheng Dong, Suya Wu, Mohammadreza Soltani, Vahid Tarokh:
Multi-Agent Adversarial Attacks for Multi-Channel Communications. CoRR abs/2201.09149 (2022) - Shyam Venkatasubramanian, Chayut Wongkamthong, Mohammadreza Soltani, Bosung Kang, Sandeep Gogineni, Ali Pezeshki, Muralidhar Rangaswamy, Vahid Tarokh:
Toward Data-Driven STAP Radar. CoRR abs/2201.10712 (2022) - Mohammadreza Soltani, Suya Wu, Yuerong Li, Jie Ding, Vahid Tarokh:
On The Energy Statistics of Feature Maps in Pruning of Neural Networks with Skip-Connections. CoRR abs/2201.11209 (2022) - 2021
- Saeid Parvandeh, Mohammadreza Boroomand, Fahimeh Boroumand, Pariya Soltani:
A modified single and multi-objective bacteria foraging optimisation for the solution of quadratic assignment problem. Int. J. Bio Inspired Comput. 17(1): 1-13 (2021) - Mohammad Reza Majma, Emad Soltani Nejad:
SEMTE: scalable and extended modular traffic engineering in software-defined data center networks. Photonic Netw. Commun. 42(3): 143-166 (2021) - Mohammadreza Soltani, Suya Wu, Yuerong Li, Robert J. Ravier, Jie Ding, Vahid Tarokh:
Compressing Deep Networks Using Fisher Score of Feature Maps. DCC 2021: 371 - Mohammadreza Soltaniyeh, Veronica Lagrange Moutinho dos Reis, Matthew Bryson, Richard P. Martin, Santosh Nagarakatte:
Near-Storage Acceleration of Database Query Processing with SmartSSDs. FCCM 2021: 265 - Cat P. Le, Mohammadreza Soltani, Robert J. Ravier, Vahid Tarokh:
Task-Aware Neural Architecture Search. ICASSP 2021: 4090-4094 - Chris Cannella, Mohammadreza Soltani, Vahid Tarokh:
Projected Latent Markov Chain Monte Carlo: Conditional Sampling of Normalizing Flows. ICLR 2021 - Yang Deng, Juncheng Dong, Simiao Ren, Omar Khatib, Mohammadreza Soltani, Vahid Tarokh, Willie Padilla, Jordan M. Malof:
Benchmarking Data-driven Surrogate Simulators for Artificial Electromagnetic Materials. NeurIPS Datasets and Benchmarks 2021 - Cat P. Le, Mohammadreza Soltani, Robert J. Ravier, Vahid Tarokh:
Neural Architecture Search From Task Similarity Measure. CoRR abs/2103.00241 (2021) - Cat P. Le, Mohammadreza Soltani, Robert J. Ravier, Trevor Standley, Silvio Savarese, Vahid Tarokh:
Neural Architecture Search From Fréchet Task Distance. CoRR abs/2103.12827 (2021) - Anna K. Yanchenko, Mohammadreza Soltani, Robert J. Ravier, Sayan Mukherjee, Vahid Tarokh:
Towards Explainable Convolutional Features for Music Audio Modeling. CoRR abs/2106.00110 (2021) - Mohammadreza Soltaniyeh, Richard P. Martin, Santosh Nagarakatte:
SPOTS: An Accelerator for Sparse CNNs Leveraging General Matrix-Matrix Multiplication. CoRR abs/2107.13386 (2021) - Cat P. Le, Juncheng Dong, Mohammadreza Soltani, Vahid Tarokh:
Task Affinity with Maximum Bipartite Matching in Few-Shot Learning. CoRR abs/2110.02399 (2021) - Juncheng Dong, Simiao Ren, Yang Deng, Omar Khatib, Jordan M. Malof, Mohammadreza Soltani, Willie Padilla, Vahid Tarokh:
Blaschke Product Neural Networks (BPNN): A Physics-Infused Neural Network for Phase Retrieval of Meromorphic Functions. CoRR abs/2111.13311 (2021) - Raghav Mehta, Angelos Filos, Ujjwal Baid, Chiharu Sako, Richard McKinley, Michael Rebsamen, Katrin Dätwyler, Raphael Meier, Piotr Radojewski, Gowtham Krishnan Murugesan, Sahil S. Nalawade, Chandan Ganesh, Benjamin C. Wagner, Fang F. Yu, Baowei Fei, Ananth J. Madhuranthakam, Joseph A. Maldjian, Laura Alexandra Daza, Catalina Gómez Caballero, Pablo Arbeláez, Chengliang Dai, Shuo Wang, Hadrien Raynaud, Yuanhan Mo, Elsa D. Angelini, Yike Guo, Wenjia Bai, Subhashis Banerjee, Linmin Pei, Murat Ak, Sarahi Rosas-González, Ilyess Zemmoura, Clovis Tauber, Minh H. Vu, Tufve Nyholm, Tommy Löfstedt, Laura Mora Ballestar, Verónica Vilaplana, Hugh McHugh, Gonzalo D. Maso Talou, Alan Wang, Jay B. Patel, Ken Chang, Katharina Hoebel, Mishka Gidwani, Nishanth Thumbavanam Arun, Sharut Gupta, Mehak Aggarwal, Praveer Singh, Elizabeth R. Gerstner, Jayashree Kalpathy-Cramer, Nicolas Boutry, Alexis Huard, Lasitha Vidyaratne, Md Monibor Rahman, Khan M. Iftekharuddin, Joseph Chazalon, Élodie Puybareau, Guillaume Tochon, Jun Ma, Mariano Cabezas, Xavier Lladó, Arnau Oliver, Liliana Valencia, Sergi Valverde, Mehdi Amian, Mohammadreza Soltaninejad, Andriy Myronenko, Ali Hatamizadeh, Xue Feng, Quan Dou, Nicholas J. Tustison, Craig H. Meyer, Nisarg A. Shah, Sanjay N. Talbar, Marc-André Weber, Abhishek Mahajan, András Jakab, Roland Wiest, Hassan M. Fathallah-Shaykh, Arash Nazeri, Mikhail Milchenko, Daniel S. Marcus, Aikaterini Kotrotsou, Rivka Colen, John B. Freymann, Justin S. Kirby, Christos Davatzikos, Bjoern H. Menze, Spyridon Bakas, Yarin Gal, Tal Arbel:
QU-BraTS: MICCAI BraTS 2020 Challenge on Quantifying Uncertainty in Brain Tumor Segmentation - Analysis of Ranking Metrics and Benchmarking Results. CoRR abs/2112.10074 (2021) - 2020
- Mohammadreza Soltaninejad, Craig J. Sturrock, Marcus Griffiths, Tony P. Pridmore, Michael P. Pound:
Three Dimensional Root CT Segmentation Using Multi-Resolution Encoder-Decoder Networks. IEEE Trans. Image Process. 29: 6667-6679 (2020) - Mohammadreza Soltaninejad, Tony P. Pridmore, Michael P. Pound:
Efficient MRI Brain Tumor Segmentation Using Multi-resolution Encoder-Decoder Networks. BrainLes@MICCAI (2) 2020: 30-39 - Marko Angjelichinoski, Mohammadreza Soltani, John S. Choi, Bijan Pesaran, Vahid Tarokh:
Deep James-Stein Neural Networks For Brain-Computer Interfaces. ICASSP 2020: 1339-1343 - Chris Cannella, Jie Ding, Mohammadreza Soltani, Yi Zhou, Vahid Tarokh:
Perception-Distortion Trade-Off with Restricted Boltzmann Machines. ICASSP 2020: 4022-4026 - Mohammadreza Soltani, Suya Wu, Jie Ding, Robert J. Ravier, Vahid Tarokh:
On the Information of Feature Maps and Pruning of Deep Neural Networks. ICPR 2020: 6988-6995
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