Rayan Krishnan

According to our database, Rayan Krishnan authored at least 9 papers between 2020 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

FormalProofBench: Can Models Write Graduate Level Math Proofs That Are Formally Verified?

Nikil Ravi, Kexing Ying, Vasilii Nesterov, Rayan Krishnan, Elif Uskuplu, Bingyu Xia, Janitha Aswedige, Langston Nashold

CoRR, March, 2026

Vibe Code Bench: Evaluating AI Models on End-to-End Web Application Development.

Hung Tran, Langston Nashold, Rayan Krishnan, Antoine Bigeard, Alex Gu

Proceedings of the ACM Conference on AI and Agentic Systems, 2026

2025

Finance Agent Benchmark: Benchmarking LLMs on Real-world Financial Research Tasks.

Antoine Bigeard, Langston Nashold, Rayan Krishnan, Shirley Wu

CoRR, August, 2025

2023

Evaluating progress in automatic chest X-ray radiology report generation.

Feiyang Yu, Mark Endo, Rayan Krishnan, Ian Pan, Andy Tsai, Eduardo Pontes Reis, Eduardo Kaiser Ururahy Nunes Fonseca, Henrique Min Ho Lee, Zahra Shakeri Hossein Abad, Andrew Y. Ng, Curtis P. Langlotz, Vasantha Kumar Venugopal, Pranav Rajpurkar

Patterns, September, 2023

2021

CheXbreak: Misclassification Identification for Deep Learning Models Interpreting Chest X-rays.

Emma Chen, Andy Kim, Rayan Krishnan, Jin Long, Andrew Y. Ng, Pranav Rajpurkar

Proceedings of the Machine Learning for Healthcare Conference, 2021

Retrieval-Based Chest X-Ray Report Generation Using a Pre-trained Contrastive Language-Image Model.

Mark Endo, Rayan Krishnan, Viswesh Krishna, Andrew Y. Ng, Pranav Rajpurkar

Proceedings of the Machine Learning for Health, 2021

2020

Using LSTM and SARIMA Models to Forecast Cluster CPU Usage.

Langston Nashold, Rayan Krishnan

CoRR, 2020

CheXphoto: 10, 000+ Smartphone Photos and Synthetic Photographic Transformations of Chest X-rays for Benchmarking Deep Learning Robustness.

Nick A. Phillips, Pranav Rajpurkar, Mark Sabini, Rayan Krishnan, Sharon Zhou, Anuj Pareek, Nguyet Minh Phu, Chris Wang, Andrew Y. Ng, Matthew P. Lungren

CoRR, 2020

CheXphoto: 10, 000+ Photos and Transformations of Chest X-rays for Benchmarking Deep Learning Robustness.

Nick A. Phillips, Pranav Rajpurkar, Mark Sabini, Rayan Krishnan, Sharon Zhou, Anuj Pareek, Nguyet Minh Phu, Chris Wang, Mudit Jain, Du Nguyen Duong, Steven Q. H. Truong, Andrew Y. Ng, Matthew P. Lungren

Proceedings of the Machine Learning for Health Workshop, 2020