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Princeton University Masters Theses, 2022-2024
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Princeton University Masters Theses, 2022-2024
Chemical and Biological Engineering
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Computer Science, 2023
Department of Mechanical and Aerospace Engineering, 2022
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Title
Author(s)
2024
Exploring LLM Insight Discovery: InsightBench and MCMC Prompting
Chhabria, Sabhya
2024
Learning Diverse Skills for Safe Reinforcement Learning
Cai, Haoyuan
2024
CONFINE: Conformal Prediction for Interpretable Neural Networks
Huang, Linhui
2024
Synthetic Data Generation for 6DOF Object Rearrangement
Defay, John A
2024
A Simulation-Based Approach for Studying Light Sheet Fluorescent Microscopy
Zhang, Juncheng
2024
Augmenting Concept-Labeled Datasets with Counterfactuals for Interpretability
Sinha, Prachi
2024
SUPPRESSING INTERFERENCE IN SPECTROSCOPIC SYSTEMS USING ABSORPTION MASKS
Mehta, Angela
2024
Diversity-Guided Sampling for Protein Sequence Design via Iterative Refinement
Ferragu, Constance
2024
Demonstrating the Effectiveness of a Cylindrical Top-Hat Electrostatic Analyzer in the Analysis of Ionized and Neutral Atoms in a Laboratory Ion Beam
Pardo Medina, Daniel
2024
Selecting Language Model Training Data Using Deep Textual Properties
Gupta, Aatmik
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Author
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Ahdab, Muhie Dean
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Ajith, Anirudh
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Bencomo, Gianluca Michele
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Cai, Haoyuan
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Chhabria, Sabhya
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Defay, John A
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Dragomir, Christopher Marius
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Ekpo, Promise Osaine
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Ferragu, Constance
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Computer science
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Artificial intelligence
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Machine Learning
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Applied physics
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Civil engineering
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Computer Vision
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28
2024
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2023
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2022