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- University of California, San FranciscoUS31 papers
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- Centre National de la Recherche ScientifiqueFR15 papers
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15 papers · 1 filter
Humanity's Last Exam
Long Phan, Alice Gatti, Ziwen Han +1167
Benchmarks are important tools for tracking the rapid advancements in large language model (LLM) capabilities. However, benchmarks are not keeping pace in difficulty: LLMs now achi…
Combinatorial Complexes: Bridging the Gap Between Cell Complexes and Hypergraphs
Mustafa Hajij, Ghada Zamzmi, Theodore Papamarkou +3
Graph-based signal processing techniques have become essential for handling data in non-Euclidean spaces. However, there is a growing awareness that these graph models might need t…
Bayesian Safety Validation for Failure Probability Estimation of Black-Box Systems
Robert J. Moss, Mykel J. Kochenderfer, Maxime Gariel +1
Estimating the probability of failure is an important step in the certification of safety-critical systems. Efficient estimation methods are often needed due to the challenges pose…
Lockout: Sparse Regularization of Neural Networks
Gilmer Valdes, Wilmer Arbelo, Yannet Interian +1
Many regression and classification procedures fit a parameterized function of predictor variables to data based on some loss criterion .…
CathAI: Fully Automated Interpretation of Coronary Angiograms Using Neural Networks
Robert Avram, Jeffrey E. Olgin, Alvin Wan +8
Coronary heart disease (CHD) is the leading cause of adult death in the United States and worldwide, and for which the coronary angiography procedure is the primary gateway for dia…
Multi-Stage Prototype Learning for Interpretable Time Series Classification
Bhavesh Kalisetti, Vincent Wang, Gaurav R. Ghosal +2
Deep learning methods are powerful tools in classifying multivariate time series data. Despite their high performance, these methods are hard to interpret, which diminishes their a…