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Kailas Vodrahalli

Observed names: Vodrahalli, Kailas, Vodrahalli, Kailas, Author
ORCID: 0000-0002-9849-3055
Observed ORCID: 0000-0002-9849-3055
OpenAlex ID: A5044367578
Disparities in dermatology AI performance on a diverse, curated clinical image set
2022 · Roxana Daneshjou, Kailas Vodrahalli, et al. · Science Advances · 545
Can Large Language Models Provide Useful Feedback on Research Papers? A Large-Scale Empirical Analysis
2024 · Weixin Liang, Yuhui Zhang, et al. · NEJM AI · 254
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Harmless Interpolation of Noisy Data in Regression
2019 · Vidya Muthukumar, Kailas Vodrahalli, et al. · IEEE International Symposium on Information Theory (ISIT) · 127
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Serverless linear algebra
2020 · Vaishaal Shankar, Karl Krauth, et al. · ACM Symposium on Cloud Computing (SoCC) · 98
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Do Humans Trust Advice More if it Comes from AI?
2022 · Kailas Vodrahalli, Roxana Daneshjou, et al. · Proceedings of the AAAI/ACM Conference on AI Ethics and Society · 63
Are All Training Examples Created Equal? An Empirical Study
2018 · Vodrahalli, Kailas, Li, Ke, et al. · arXiv (Cornell University) · 43
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3D computer vision based on machine learning with deep neural networks: A review
2017 · Kailas Vodrahalli, Achintya K. Bhowmik · Journal of the Society for Information Display · 42
Development and Clinical Evaluation of an Artificial Intelligence Support Tool for Improving Telemedicine Photo Quality
2023 · Kailas Vodrahalli, Justin Ko, et al. · JAMA Dermatology · 30
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TrueImage: A Machine Learning Algorithm to Improve the Quality of Telehealth Photos
2020 · Kailas Vodrahalli, Roxana Daneshjou, et al. · Pacific Symposium on Biocomputing (PSB) · 28
Uncalibrated Models Can Improve Human-AI Collaboration
2022 · Kailas Vodrahalli, Tobias Gerstenberg, et al. · neural information processing systems · 19
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Do Humans Trust Advice More if it Comes from AI? An Analysis of Human-AI Interactions
2021 · Vodrahalli, Kailas, Daneshjou, Roxana, et al. · arXiv (Cornell University) · 16
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Adversarial Training Helps Transfer Learning via Better Representations
2021 · Deng, Zhun, Zhang, Linjun, et al. · arXiv (Cornell University) · 16
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Disparities in Dermatology AI: Assessments Using Diverse Clinical Images
2021 · Daneshjou, Roxana, Vodrahalli, Kailas, et al. · arXiv (Cornell University) · 12
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Predicting Visuo-Motor Diseases From Eye Tracking Data
2021 · Kailas Vodrahalli, Maciej Filipkowski, et al. · Pacific Symposium on Biocomputing (PSB) · 10
Some new numeric results concerning the Witsenhausen Counterexample
2018 · Vignesh Subramanian, Laura Brink, et al. · Allerton Conference on Communication, Control, and Computing · 5
Predicting Visuo-Motor Diseases From Eye Tracking Data.
2022 · Kailas Vodrahalli, Maciej Filipkowski, et al. · PubMed · 3
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Blind Interactive Learning of Modulation Schemes: Multi-Agent Cooperation Without Co-Design
2020 · Anant Sahai, Joshua Sanz, et al. · IEEE Access · 3
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Learning to Communicate in a Noisy Environment.
2019 · Anant Sahai, Joshua Sanz, et al. · arXiv (Cornell University) · 3
Learning to Communicate with Limited Co-design
2019 · Anant Sahai, Joshua Sanz, et al. · Allerton Conference on Communication, Control, and Computing · 2
ArtWhisperer: A Dataset for Characterizing Human-AI Interactions in Artistic Creations
2023 · Vodrahalli, Kailas, Zou, James · arXiv (Cornell University) · 1
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Development and Clinical Evaluation of an AI Support Tool for Improving Telemedicine Photo Quality
2022 · Vodrahalli, Kailas, Ko, Justin, et al. · arXiv (Cornell University) · 1
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37‐1: Invited Paper: 3D Computer Vision Based on Machine Learning with Deep Neural Networks
2018 · Kailas Vodrahalli, Achintya K. Bhowmik · SID Symposium Digest of Technical Papers · 1
Learning a Canonical Basis of Human Preferences from Binary Ratings
2025 · Vodrahalli, Kailas, Wei, Wei, et al. · arXiv (Cornell University)
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Better Knowledge Retention through Metric Learning
2020 · Li, Ke, Peng, Shichong, et al. · arXiv (Cornell University)
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Works count: 27
Citation count: 1,323
H-index: 12
I10-index: 14
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