67 citations
- Institut national de recherche en sciences et technologies du numériqueFR2 papers
- Stanford UniversityUS2 papers
- Akka Technologies (France)FR1 paper
- Amazon (United States)US1 paper
- California Southern UniversityUS1 paper
- Centre Inria de l'Université de RennesFR1 paper
- Comenius University BratislavaSK1 paper
- École Polytechnique Fédérale de LausanneCH1 paper
- Geometric (India)IN1 paper
- Institute of Scientific and Technical Information of ChinaCN1 paper
- Iowa State UniversityUS1 paper
- Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo"IT1 paper
Showing 2019Show all
3 papers · 1 filter
stat.ML2019★ 1 cited
New Computational and Statistical Aspects of Regularized Regression with Application to Rare Feature Selection and Aggregation
Amin Jalali, Adel Javanmard, Maryam Fazel
Prior knowledge on properties of a target model often come as discrete or combinatorial descriptions. This work provides a unified computational framework for defining norms that p…
stat.ML2019★ 2 cited
Learning Generative Models of Structured Signals from Their Superposition Using GANs with Application to Denoising and Demixing
Mohammadreza Soltani, Swayambhoo Jain, Abhinav Sambasivan
Recently, Generative Adversarial Networks (GANs) have emerged as a popular alternative for modeling complex high dimensional distributions. Most of the existing works implicitly as…
cs.LG2019★ 6 cited
Exploring applications of deep reinforcement learning for real-world autonomous driving systems
Victor Talpaert, Ibrahim Sobh, B Ravi Kiran +4
Deep Reinforcement Learning (DRL) has become increasingly powerful in recent years, with notable achievements such as Deepmind's AlphaGo. It has been successfully deployed in comme…