3.9k citations
- University of California, BerkeleyUS67 papers
- Stanford UniversityUS37 papers
- University of San FranciscoUS31 papers
- Harvard UniversityUS22 papers
- University of California, Los AngelesUS19 papers
- University of California SystemUS19 papers
- University of PennsylvaniaUS18 papers
- University of WashingtonUS17 papers
- Lawrence Berkeley National LaboratoryUS15 papers
- Johns Hopkins UniversityUS13 papers
- Stanford MedicineUS13 papers
- University of Wisconsin–MadisonUS13 papers
320 papers
Individual Vanadium Dopants Form Deep In-Gap States in Monolayer WS2
Tianhui Zhu, Carlos A. Gonzalez, Shihao Tu +11
Point defects in atomically thin materials have a strong impact on physical properties and those that induce in-gap states are advantageous for quantum information science and engi…
Clinical Reasoning Graphs: Structured Evaluation of LLM Diagnostic Reasoning Reveals Competence Without Consistency
Nisarg A. Patel
Modern large language models (LLMs) reach 60-70% diagnostic accuracy on complex clinical case benchmarks, but accuracy alone cannot distinguish stable clinically-grounded reasoning…
abx_amr_simulator: A simulation environment for antibiotic prescribing policy optimization under antimicrobial resistance
Joyce Lee, Seth Blumberg
Antimicrobial resistance (AMR) poses a global health threat, reducing the effectiveness of antibiotics and complicating clinical decision-making. To address this challenge, we intr…
ORGAN: Object-Centric Representation Learning using Cycle Consistent Generative Adversarial Networks
Joël Küchler, Ellen van Maren, Vaiva Vasiliauskaitė +3
Although data generation is often straightforward, extracting information from data is more difficult. Object-centric representation learning can extract information from images in…
Embedded vs. Situated: An Evaluation of AR Facial Training Feedback
Avinash Ajit Nargund, Andrea M. Park, Tobias Höllerer +1
While augmented reality (AR) research demonstrates benefits of embedded visualizations for gross motor training, its applicability to facial exercises remains under-explored. Provi…
Human-AI Co-design for Clinical Prediction Models
Jean Feng, Avni Kothari, Patrick Vossler +6
Developing safe, effective, and practically useful clinical prediction models (CPMs) traditionally requires iterative collaboration between clinical experts, data scientists, and i…