Suchergebnisse - Lin, Ryan

CAT: Curvature-Adaptive Transformers for Geometry-Aware Learning von Lin, Ryan Y., Ojha, Siddhartha, Bai, Nicholas

Volltext

Same or Not? Enhancing Visual Perception in Vision-Language Models von Marsili, Damiano, Mehta, Aditya, Lin, Ryan Y., Gkioxari, Georgia

Volltext

Team, Then Trim: An Assembly-Line LLM Framework for High-Quality Tabular Data Generation von Zhang, Congjing, Lin, Ryan Feng, Bao, Ruoxuan, Huang, Shuai

Volltext

Strategic Collusion of LLM Agents: Market Division in Multi-Commodity Competitions von Lin, Ryan Y., Ojha, Siddhartha, Cai, Kevin, Chen, Maxwell F.

Volltext

Causal Discovery Should Embrace the Wisdom of the Crowd von Lin, Ryan Feng, Wei, Yuantao, Liao, Huiling, Qian, Xiaoning, Huang, Shuai

Volltext

An Analysis of the Riemann Problem for a $2 \times 2$ System of Keyfitz-Kranzer Type Conservation Laws Using Shadow Waves and Dafermos Regularization von Culver, Josh, Ayres, Aubrey, Halloran, Evan, Lin, Ryan, Peng, Emily, Tsikkou, Charis

Volltext

An Analysis of the Riemann Problem for a $2 \times 2$ System of Keyfitz-Kranzer Type Balance Laws With a Time-Dependent Source Term von Culver, Josh, Ayres, Aubrey, Halloran, Evan, Lin, Ryan, Peng, Emily, Tsikkou, Charis

Volltext

CrowdLLM: Building LLM-Based Digital Populations Augmented with Generative Models von Lin, Ryan Feng, Tian, Keyu, Zheng, Hanming, Zhang, Congjing, Zeng, Li, Huang, Shuai

Volltext

Enabling Automatic Differentiation with Mollified Graph Neural Operators von Lin, Ryan Y., Berner, Julius, Duruisseaux, Valentin, Pitt, David, Leibovici, Daniel, Kossaifi, Jean, Azizzadenesheli, Kamyar, Anandkumar, Anima

Volltext