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05/30/2023
Generating with Confidence: Uncertainty Quantification for Black-box Large Language Models
Large language models (LLMs) specializing in natural language generation...
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02/02/2023
Fast Online Value-Maximizing Prediction Sets with Conformal Cost Control
Many real-world multi-label prediction problems involve set-valued predi...
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05/25/2022
Conformal Prediction Intervals with Temporal Dependence
Cross-sectional prediction is common in many domains such as healthcare,...
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05/20/2022
Conformal Prediction with Temporal Quantile Adjustments
We develop Temporal Quantile Adjustment (TQA), a general method to const...
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02/15/2022
Taking a Step Back with KCal: Multi-Class Kernel-Based Calibration for Deep Neural Networks
Deep neural network (DNN) classifiers are often overconfident, producing...
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06/01/2021
Locally Valid and Discriminative Confidence Intervals for Deep Learning Models
Crucial for building trust in deep learning models for critical real-wor...
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03/05/2021
SCRIB: Set-classifier with Class-specific Risk Bounds for Blackbox Models
Despite deep learning (DL) success in classification problems, DL classi...
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02/25/2021
DeepSZ: Identification of Sunyaev-Zel'dovich Galaxy Clusters using Deep Learning
Galaxy clusters identified from the Sunyaev Zel'dovich (SZ) effect are a...
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10/31/2019
In-Place Zero-Space Memory Protection for CNN
Convolutional Neural Networks (CNN) are being actively explored for safe...
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04/24/2019
Exploring Memory Persistency Models for GPUs
Given its high integration density, high speed, byte addressability, and...
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06/24/2018