4k citations
- Nvidia (United States)US22 papers
- University of TorontoCA11 papers
- Stanford UniversityUS8 papers
- University of California, MercedUS6 papers
- University of WashingtonUS6 papers
- Massachusetts Institute of TechnologyUS5 papers
- Duke UniversityUS4 papers
- Google (United States)US4 papers
- Nanyang Technological UniversitySG4 papers
- Texas A&M UniversityUS4 papers
- University of CopenhagenDK4 papers
- Imperial College LondonGB3 papers
Showing cs.AIShow all
3 papers · 1 filter
cs.AI2026
NVAITC AI Scientist: A Governed End-to-End Research System -- A Hypertension GWAS Case Study
Eddie Huang, Ken Liao, Iven Fu +14
Agentic research systems are emerging as a new paradigm for coordinating scientific workflows beyond isolated model inference, code generation, or statistical analysis. However, de…
cs.AI2021★ 8 cited
A Data-Centric Approach for Training Deep Neural Networks with Less Data
Mohammad Motamedi, Nikolay Sakharnykh, Tim Kaldewey
While the availability of large datasets is perceived to be a key requirement for training deep neural networks, it is possible to train such models with relatively little data. Ho…
cs.AI2019
Solving Markov Decision Processes with Reachability Characterization from Mean First Passage Times
Shoubhik Debnath, Lantao Liu, Gaurav Sukhatme
A new mechanism for efficiently solving the Markov decision processes (MDPs) is proposed in this paper. We introduce the notion of reachability landscape where we use the Mean Firs…