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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)
2023
MAGNETIC FLOW CYTOMETERS (MFCS) ACHIEVED BY A 2D OSCILLATOR ARRAY FOR RARE CELL TRACKING AND MULTI-SITE DETECTION
Tang, Hao
2023
What In-Context Learning “Learns” In-Context: Disentangling Task Recognition and Task Learning
Pan, Jane
2023
On the Manipulability of Tournament Rules by Throwing Matches
Sathyanarayanan, Sacheth
2023
Bayesian Filtering for Neural Networks
Bencomo, Gianluca Michele
2023
Counter-Based Summarization of Recursive Procedures
Pimpalkhare, Nikhil
2023
QUICstep: Circumventing QUIC-based Censorship
Jia, Watson
2023
Constructing Printable Surfaces with View-Dependent Appearance
Perroni-Scharf, Maxine Alexandra
2023
Spatial Birth-Death Point Process Models for Controllable Morphogenesis
Wantlin, Kathryn
2023
MOVES-Style Autonomous Transit Network Design, Economic, and Operational Analysis
Dragomir, Christopher Marius
2023
DIFFERENTIATING BETWEEN DRIVER AND PASSENGER MUTATIONS IN CANCER GENOMES
Velasco II, Alfredo
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Bencomo, Gianluca Michele
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Dragomir, Christopher Marius
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Ekpo, Promise Osaine
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Jia, Watson
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Pan, Jane
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Perroni-Scharf, Maxine Alexandra
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Pimpalkhare, Nikhil
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Premkumar, Anjali
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Prihar, Arjun Jarnail Singh
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Computer science
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Machine Learning
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Electrical engineering
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large language models
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machine learning
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3D printing
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Adversarial Defense
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