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08/30/2023
Training Towards Critical Use: Learning to Situate AI Predictions Relative to Human Knowledge
A growing body of research has explored how to support humans in making ...
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06/16/2023
Drag-guided diffusion models for vehicle image generation
Denoising diffusion models trained at web-scale have revolutionized imag...
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05/26/2023
Surrogate Modeling of Car Drag Coefficient with Depth and Normal Renderings
Generative AI models have made significant progress in automating the cr...
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12/11/2022
Towards a Learner-Centered Explainable AI: Lessons from the learning sciences
In this short paper, we argue for a refocusing of XAI around human learn...
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05/04/2022
Second-Order Sensitivity Analysis for Bilevel Optimization
In this work we derive a second-order approach to bilevel optimization, ...
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02/09/2022
Understanding and Shifting Preferences for Battery Electric Vehicles
Identifying personalized interventions for an individual is an important...
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01/15/2022
Finding Label and Model Errors in Perception Data With Learned Observation Assertions
ML is being deployed in complex, real-world scenarios where errors have ...
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12/07/2021
Accelerating Understanding of Scientific Experiments with End to End Symbolic Regression
We consider the problem of learning free-form symbolic expressions from ...
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03/29/2021
Certified Control: An Architecture for Verifiable Safety of Autonomous Vehicles
Widespread adoption of autonomous cars will require greater confidence i...
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07/31/2020
Back-propagation through Signal Temporal Logic Specifications: Infusing Logical Structure into Gradient-Based Methods
This paper presents a technique, named STLCG, to compute the quantitativ...
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06/29/2020
Heteroskedastic and Imbalanced Deep Learning with Adaptive Regularization
Real-world large-scale datasets are heteroskedastic and imbalanced – lab...
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10/30/2019
Automatic Testing and Falsification with Dynamically Constrained Reinforcement Learning
We consider the problem of using reinforcement learning to train adversa...
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09/12/2019
Better AI through Logical Scaffolding
We describe the concept of logical scaffolds, which can be used to impro...
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06/18/2019