Résultats de recherche auteurs

1

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

Publié 2025

Fuente: arXiv

Tipo de material: Preprint

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

Publié 2025

Fuente: arXiv

Tipo de material: Preprint

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

Publié 2026

Fuente: arXiv

Tipo de material: Preprint

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

Publié 2024

Fuente: arXiv

Tipo de material: Preprint

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

Publié 2026

Fuente: arXiv

Tipo de material: Preprint

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

Publié 2025

Fuente: arXiv

Tipo de material: Preprint

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

Publié 2025

Fuente: arXiv

Tipo de material: Preprint

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

Publié 2025

Fuente: arXiv

Tipo de material: Preprint

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

Publié 2025

Fuente: arXiv

Tipo de material: Preprint

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

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

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

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

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

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

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

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

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

Résultats de la recherche - Lin, Ryan

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

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

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

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

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

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

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

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

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

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