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Decision Sciences
Decision Sciences 논문 리뷰
Decision Sciences 분야 주요 연구 논문을 연구 동기·방법·결과로 구조화한 AI 논문 리뷰 목록입니다.
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필터
5,756개의 결과
DAK-UCB: Diversity-Aware Prompt Routing for LLMs and Generative Models
Donya Jafari, Farzan Farnia
arXiv (Cornell University)
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2026
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0 회 인용
Decentralized Identity in Practice: Benchmarking Latency, Cost, and Privacy
Abylay Satybaldy, Kamil Tylinski 외 1명
arXiv (Cornell University)
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2026
|
0 회 인용
Deep Learning for Financial Time Series: A Large-Scale Benchmark of Risk-Adjusted Performance
Adir Saly-Kaufmann, Kieran Wood 외 2명
arXiv (Cornell University)
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2026
|
0 회 인용
Deep Reinforcement Learning for Optimum Order Execution: Mitigating Risk and Maximizing Returns
Khabbab Zakaria, Jayapaulraj Jerinsh 외 4명
arXiv (Cornell University)
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2026
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0 회 인용
Designing Agentic AI-Based Screening for Portfolio Investment
Mehmet Caner, Agostino Capponi 외 2명
arXiv (Cornell University)
|
2026
|
0 회 인용
Differentiating through Stochastic Differential Equations: A Primer
Rishi Leburu, Levon Nurbekyan 외 1명
arXiv (Cornell University)
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2026
|
0 회 인용
Distributionally balanced sampling designs
Anton Grafström, Wilmer Prentius
arXiv (Cornell University)
|
2026
|
0 회 인용
Dual Representation of Minimum Divergence Under Integral Constraints
Shubhanshu Shekhar, Shubhada Agrawal
arXiv (Cornell University)
|
2026
|
0 회 인용
Dynamic slippage control and rejection feedback in spot FX market making
Alexander Barzykin
arXiv (Cornell University)
|
2026
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0 회 인용
Efficient and Effective Table-Centric Table Union Search in Data Lakes
Yongkang Sun, Zhihao Ding 외 3명
arXiv (Cornell University)
|
2026
|
0 회 인용
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