Farsad, Nariman
- Deep Learning for Joint Source-Channel Coding of Text
2018/02/19 by Farsad, Nariman, Rao, Milind, Goldsmith, Andrea · 10 citations
#Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Information Theory (cs.IT) #Machine Learning (cs.LG)
- A Novel Experimental Platform for In-Vessel Multi-Chemical Molecular Communications
2017/04/16 by Farsad, Nariman, Pan, David, Goldsmith, Andrea · 5 citations
#Artificial Intelligence (cs.AI) #Emerging Technologies (cs.ET) #FOS: Computer and information sciences #Information Theory (cs.IT) #Machine Learning (cs.LG)
- A Survey on Modulation Techniques in Molecular Communication via Diffusion
2020/11/25 by Kuran, Mehmet Sukru, Yilmaz, H. Birkan, Demirkol, Ilker +2 · 5 citations
#Emerging Technologies (cs.ET) #FOS: Computer and information sciences #Information Theory (cs.IT)
- Two-Way Molecular Communications
2019/03/19 by Jong Woo Kwak, Kwak, Jong Woo, H. Birkan Yilmaz +7 · 2 voices
Computer Science · #Emerging Technologies (cs.ET) #FOS: Computer and information sciences #cs.ET
- Channel and Noise Models for Nonlinear Molecular Communication Systems
2013/11/25 by Farsad, Nariman, Kim, Na-Rae, Eckford, Andrew W. +1 · 2 citations
#Emerging Technologies (cs.ET) #FOS: Computer and information sciences
- Machine Learning based Channel Modeling for Molecular MIMO Communications
2017/04/04 by Lee, Changmin, Yilmaz, H. Birkan, Chae, Chan-Byoung +2 · 2 citations
#Emerging Technologies (cs.ET) #FOS: Computer and information sciences
- Meta-World+: An Improved, Standardized, RL Benchmark
2025/05/16 by Reginald McLean, Evangelos Chatzaroulas, McLean, Reginald +21 · 10 citations
Computer Science · #Artificial Intelligence (cs.AI) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning and Data Classification #Reinforcement Learning in Robotics
- Video-Language Critic: Transferable Reward Functions for Language-Conditioned Robotics
2024/05/30 by Alakuijala, Minttu, McLean, Reginald, Woungang, Isaac +4 · 4 citations
#Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Robotics (cs.RO)
- ViterbiNet: A Deep Learning Based Viterbi Algorithm for Symbol Detection
2019/05/26 by Shlezinger, Nir, Farsad, Nariman, Eldar, Yonina C. +1 · 2 citations
#FOS: Computer and information sciences #FOS: Electrical engineering #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Signal Processing (eess.SP) #electronic engineering #information engineering
- Multi-Task Reinforcement Learning Enables Parameter Scaling
2025/03/07 by Reginald McLean, Evangelos Chatzaroulas, McLean, Reginald +9 · 1 voice · 4 citations
Engineering · #Digital Transformation in Industry #Scheduling and Optimization Algorithms #cs.AI #cs.LG
- A Molecular Communication Link for Monitoring in Confined Environments
2014/03/27 by Qiu, Song, Guo, Weisi, Wang, Siyi +2 · 1 citation
#Emerging Technologies (cs.ET) #FOS: Computer and information sciences
- Data-Driven Factor Graphs for Deep Symbol Detection
2020/01/31 by Shlezinger, Nir, Farsad, Nariman, Eldar, Yonina C. +1 · 1 citation
#FOS: Computer and information sciences #FOS: Electrical engineering #Information Theory (cs.IT) #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Signal Processing (eess.SP) #electronic engineering #information engineering
- Data-Driven Symbol Detection via Model-Based Machine Learning
2020/02/14 by Farsad, Nariman, Shlezinger, Nir, Goldsmith, Andrea J. +1 · 1 citation
#FOS: Computer and information sciences #FOS: Electrical engineering #Information Theory (cs.IT) #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Signal Processing (eess.SP) #electronic engineering #information engineering
- Communication System Design and Analysis for Asynchronous Molecular Timing Channels
2018/12/08 by Farsad, Nariman, Murin, Yonathan, Guo, Weisi +3 · 1 citation
#FOS: Computer and information sciences #FOS: Electrical engineering #Information Theory (cs.IT) #Signal Processing (eess.SP) #electronic engineering #information engineering
- Neural Capacity Estimators: How Reliable Are They?
2021/11/14 by Mirkarimi, Farhad, Rini, Stefano, Farsad, Nariman · 1 citation
#FOS: Computer and information sciences #FOS: Electrical engineering #Information Theory (cs.IT) #Machine Learning (cs.LG) #Signal Processing (eess.SP) #electronic engineering #information engineering