Publications

Browse publications based on research funded by Stanford HAI.

Explore Publications

International Conference on Learning Representations
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2022

Autonomous Reinforcement Learning: Formalism and Benchmarking

  • Archit Sharma, Kelvin Xu, Nikhil Sardana, Abhishek Gupta, Karol Hausman, Sergey Levine, Chelsea Finn
Journal of Medical Internet Research
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2022

Classifying Autism from Crowdsourced Semi-Structured Speech Recordings: A Machine

  • Nathan Chi, Peter Washington, Aaron Kline, Arman Husic, Cathy Hou, Chloe He, Kaitlyn Dunlap, Dennis Wall
arXiv
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2022

Domino: Discovering Systematic Errors with Cross-Modal Embeddings

  • Sabri Eyuboglu, Maya Varma, Khaled Saab, Jean-Benoit Delbrouck, Christopher Lee-Messer, Jared Dunnmon, James Zou, Christopher Re
International Conference on Learning Representations
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2022

Efficiently Modeling Long Sequences with Structured State Spaces

  • Albert Gu, Karan Goel, Christopher Re
Journal of Medical Internet Research
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2022

Identification of Social Engagement Indicators Associated With Autism Spectrum Disorder Using a Game-Based Mobile App: Comparative Study of Gaze Fixation and Visual Scanning Methods

  • Maya Varma, Peter Washington, Brianna Chrisman, Aaron Kline, Emilie Leblanc, Kelley Paskov, Nate Stockham, Jae-Yoon Jung, Min Woo Sun, Dennis P Wall
Medical Image Analysis
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2022

Multi-Label, Multi-Domain Learning Identifies Compounding Effects of HIV and Cognitive Impairment

  • Jiequan Zhang, Qingyu Zhao, Ehsan Adeli, Adolf Pfefferbaum, Edith Sullivan, Robert Paul, Victor Valcour, Kilian Pohl
arXiv
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2022

Reasoning over Public and Private Data in Retrieval-Based Systems

  • Simran Arora; Patrick Lewis; Angela Fan; Jacob Kahn; Christopher Ré
arXiv
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2022

Regional Negative Bias in Word Embeddings Predicts Racial Animus--but only via Name Frequency

  • Austin van Loon, Salvatore Giorgi, Robb Willer, Johannes Eichstaedt
Nature Machine Intelligence
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2022

The Perils of Machine Learning in Designing New Chemicals and Materials

  • Sadasivan Shankar; Richard Zare
Workshop on Predictive Intelligence in Medicine (PRIME)
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2021

Adversarial Bayesian Optimization for Quantifying Motion Artifact within MRI

  • Anastasia Butskova, Rain Juhl, Dzenan Zukic, Aashish Chaudhary, Kilian M. Pohl, Qingyu Zhao

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