Advances in Zero-Knowledge Proofs: Bridging the Gap between Theory and Practice
Tiancheng Xie [advisor: Dawn Song]
Bridging the Gap between Humans and Machines in 3D Object Perception
Jasmine Collins [advisor: Jitendra Malik and Bruno Olshausen]
Control and Simulation of Power Electronic Dominated Power Systems
Ciaran Roberts [advisor: Seth R. Sanders and Duncan Callaway]
Data and Label Efficient Representation Learning
Colorado Reed [advisor: Kurt Keutzer and Trevor Darrell]
Deep Generative Models for Decision-Making and Control
Michael Janner [advisor: Sergey Levine]
Deformation in Robotics: Applications in Tactile Sensing and Grasp Planning
Isabella Huang [advisor: Ruzena Bajcsy]
Efficient Zero-Knowledge Proofs: Theory and Practice
Jiaheng Zhang [advisor: Dawn Song]
Generative Models for Image and Long Video Synthesis
Tim Brooks [advisor: Alexei (Alyosha) Efros]
Generative Models of Images and Neural Networks
Bill Peebles [advisor: Alexei (Alyosha) Efros]
Geometry-Inspired Sampling Algorithms and Random Graphs
Elizabeth Yang [advisor: Satish Rao]
High Performance Hybrid Switched-Capacitor Converters for Aerospace Applications
Sam Coday [advisor: Robert Pilawa-Podgurski]
High-Fidelity 3D Mesh Reconstruction of Humans and Objects
Shubham Goel [advisor: Jitendra Malik and Angjoo Kanazawa]
Integrated Signal Processing for Massive MIMO Systems
Yue Dai [advisor: Borivoje Nikolic]
Learning to Design and Engineer Proteins from Evolution, 3D Structures, and Experiments
Chloe Hsu [advisor: Moritz Hardt and Jennifer Listgarten]
Learning to Design and Engineer Proteins from Evolution, 3D Structures, and Experiments
Chloe Hsu [advisor: Moritz Hardt and Jennifer Listgarten]
Learning to Design Protein and DNA Libraries
Akosua Busia [advisor: Michael Jordan and Jennifer Listgarten]
Liberating the Siloed Gateway: Application-Agnostic Connectivity and Interaction for the Internet of Things
Thomas Zachariah [advisor: Prabal Dutta]
Magnetic Resonance Image Reconstruction with Greater Fidelity and Efficiency
Ke Wang [advisor: Michael Lustig and Stella Yu]
Magnetic Resonance Imaging and Modeling of Brain Magnetic Susceptibility
Jingjia Chen [advisor: Chunlei Liu]
MEMS Mirror-Based High-Speed Spatial Light Modulators
Cem Yalcin [advisor: Rikky Muller]
Neural Software Abstractions
Michael Chang [advisor: Thomas Griffiths and Sergey Levine]
Novel Non-Volatile Memory Devices and Applications
Tsegereda Esatu [advisor: Tsu-Jae King Liu]
Object and Scene Reconstruction using Neural Radiance Fields
Matthew Tancik [advisor: Ren Ng and Angjoo Kanazawa]
Perception for Real-World Robotic Applications
YuXuan Liu [advisor: Pieter Abbeel]
Performative Prediction: Theory and Practice
Juan Perdomo [advisor: Peter Bartlett and Moritz Hardt]
Photorealistic Reconstruction from First Principles
Sara Fridovich-Keil [advisor: Benjamin Recht]
Prediction and Statistical Inference in Feedback Loops
Tijana Zrnic [advisor: Michael Jordan and Moritz Hardt]
Pretrained Representations for Embodied AI
Sasha Sax [advisor: Jitendra Malik]
Pulsed Electroluminescent Devices for Emission Across Energy and Length Scales
Vivian Wang [advisor: Ali Javey]
Recent Advances in Urban Mobility: Analyzing Efficiency, Equity and Safety
Akhil Shetty [advisor: Kameshwar Poolla]
Robust Machine Learning for the Control of Real-world Robotic Systems
Tyler Westenbroek [advisor: S. Shankar Sastry]
Sequential Decision Making under Uncertainty: Optimality Guarantees, Compositional Learning, and Applications to Robotics and Ecology
Michael Lim [advisor: Claire Tomlin]
Structure-Driven Algorithm Design in Optimization and Machine Learning
Tianyi Lin [advisor: Michael Jordan]
Test-Time Training
Yu Sun [advisor: Alexei (Alyosha) Efros and Moritz Hardt]
Toward Platform-based Building Design
Wendy Lin [advisor: Costas J. Spanos]
Towards Robust and Scalable Large Language Models
Paras Jain [advisor: Ion Stoica and Joseph Gonzalez]
Transferable Generative Models
Ajay Jain [advisor: Pieter Abbeel]