Technical Reports - 2024
Disentangled Visual Generative Models (EECS-2024-65)
Dave Epstein
Enhancing QUIC: Quality-of-Service LLM Serving and MASQUE Proxy Scheduling (EECS-2024-64)
Rithvik Chuppala
VLM Guided Exploration via Image Subgoal Synthesis (EECS-2024-62)
Arjun Bhorkar
SonicSim: Socket-based Hardware Co-Simulation With Inter-process Communication (EECS-2024-61)
Richard Yan
Advancements in Efficient Training Strategies for Modern Deep Learning: From Implicit Deep Learning to Language Models and Beyond (EECS-2024-60)
Tanmay Gautam
Hardware Accelerator for Convolutional Restricted Boltzmann Machines (EECS-2024-59)
Junghoon Han
Structure and Representation in Neural Networks (EECS-2024-56)
Daniel Filan
THOUGHTSCULPT: Reasoning with Intermediate Revision and Search (EECS-2024-55)
Yizhou Chi
Towards A Machine Capable of Learning And Discovering Everything (EECS-2024-54)
Hao Liu
Bottom-Up and Top-Down Attention in Deep Vision Models (EECS-2024-49)
Baifeng Shi
Sky Computing with Intercloud Brokers (EECS-2024-48)
Zhanghao Wu
Learning and Decision-Making in Complex Environments (EECS-2024-46)
Alexander Wei
Towards Guaranteed Safe AI: A Framework for Ensuring Robust and Reliable AI Systems (EECS-2024-45)
David Dalrymple, Joar Skalse, Yoshua Bengio, Stuart J. Russell, Max Tegmark, Sanjit A. Seshia, Steve Omohundro, Christian Szegedy, Alessandro Abate, Joseph Halpern, Clark Barrett, Ding Zhao, Ben Goldhaber and Nora Ammann
RideGuard: Towards Privacy-Preserving Analytics for Mobility Applications (EECS-2024-44)
Arun Sundaresan
Pairwise Proximal Policy Optimization: Large Language Models Alignment via Comparative RL (EECS-2024-43)
Tianhao Wu
Magnetoelasticity for Integration of Quantum Defects (EECS-2024-42)
Adi Jung
Optical Fiber-based γ-Photon Biosensor for Real-Time Pre-clinical Evaluation of Cancer-Targeting Radiopharmaceuticals (EECS-2024-41)
Rahul Lall
Transformers on Dynamical Systems - An Exploration of In-context Learning (EECS-2024-40)
Wentinn Liao
Modeling System-level Iron Homeostasis in the Human Brain over the Lifespan (EECS-2024-39)
Zoe Cohen
Magnetic Susceptibility of Alzheimer’s Disease Brain Altered by Neurodegeneration (EECS-2024-38)
Maruf Ahmed
Probabilistic Ising Architectures for Combinatorial Optimization, Machine Learning and Neuromorphic Computing (EECS-2024-37)
Saavan Patel
Magnetic Susceptibility of Alzheimer’s Disease Brain Altered by Neurodegeneration (EECS-2024-36)
Maruf Ahmed
Advances in Zero-Knowledge Proofs: Bridging the Gap between Theory and Practice (EECS-2024-35)
Tiancheng Xie
Integrated Signal Processing for Massive MIMO Systems (EECS-2024-30)
Yue Dai
A Wireless Image Sensor for Real-Time, In Vivo Fluorescence Microscopy in Cancer Therapy (EECS-2024-29)
Rozhan Rabbani
Development of in vitro bioelectronic implant aging (EECS-2024-28)
Jacob Sporrer
Browsing in the Library of Babel: Leveraging Evolutionary Information to Improve Protein Modeling (EECS-2024-27)
Neil Thomas
Neural Circuit Dynamics Estimation and Control (EECS-2024-26)
Sang Min Han
Iron in Alzheimer’s Disease: Analysis of the UK Biobank Dataset (EECS-2024-25)
Laurance Lau
Object-Centric Perception for Real-World Robotics (EECS-2024-24)
Nikhil Mishra
Enhancing Emotional Expression in Text-to-Speech Models through Reinforcement Learning with AI Feedback (EECS-2024-23)
Roshan Nagaram
Interactive Imitation Learning as Reinforcement Learning (EECS-2024-22)
Perry Dong
Pairwise Proximal Policy Optimization: Large Language Models Alignment via Comparative RL (EECS-2024-21)
Tianhao Wu, Banghua Zhu, Ruoyu Zhang, Zhaojin Wen, Kannan Ramchandran and Jiantao Jiao
Advancements in Efficient Training Strategies for Modern Deep Learning: From Implicit Deep Learning to Language Models and Beyond (EECS-2024-20)
Tanmay Gautam
Counting Counts: Overcoming Counting Challenges in Image Generation using Reinforcement Learning (EECS-2024-19)
Shaan Gill
Solving Matrix Sensing to Optimality under Realistic Settings (EECS-2024-18)
Ziye Ma
RLIF: Interactive Imitation Learning as Reinforcement Learning (EECS-2024-17)
Jianlan Luo, Perry Dong, Simon Zhai, Yi Ma and Sergey Levine
Task Distribution Aware Psychomotor Skill Training with Probabilistic Programs and Bayesian Knowledge Tracing in Virtual Reality (EECS-2024-16)
Edward Kim, Alton Sturgis, Zachary Pardos, Kyle Cui, James Hu, Yunzhong Xiao, Boxi Fu, Daniel He, Issac Gonzalez, Alberto L. Sangiovanni-Vincentelli, Sanjit A. Seshia and Björn Hartmann
Understanding, Building, and Evaluating Models for Context Aware Conditional Natural Language Generation (EECS-2024-15)
David Chan
Fairness and representation in satellite-based poverty maps: Evidence of urban-rural disparities and their impacts on downstream policy (EECS-2024-14)
Emily Aiken
Versatile Geometrical Sweeps (EECS-2024-13)
Monica Tang and Carlo H. Séquin
SMT-Based Dynamic Multi-Robot Task Allocation (EECS-2024-12)
Victoria Tuck, Pei-Wei Chen, Georgios Fainekos, Bardh Hoxha, Hideki Okamoto, S. Shankar Sastry and Sanjit A. Seshia
Can LLMs Perform Verified Lifting of Code? (EECS-2024-11)
Sahil Bhatia, Jie Qiu, Sanjit A. Seshia and Alvin Cheung
New Perspectives on Adversarially Robust Machine Learning Systems (EECS-2024-10)
Chawin Sitawarin
Controlling Long-Form Large Language Model Outputs (EECS-2024-9)
Kevin Yang
Controlling Long-Form Large Language Model Outputs (EECS-2024-8)
Kevin Yang
Magnetic Resonance Imaging and Modeling of Brain Magnetic Susceptibility (EECS-2024-7)
Jingjia Chen
Better Embedded Design Tools with Automated Reasoning (EECS-2024-5)
Rohit Ramesh
Application-Integrated Record-Replay of Distributed Systems (EECS-2024-4)
Narek Galstyan
Towards a Distributed OS for Data-Intensive Cloud Applications (EECS-2024-3)
Stephanie Wang
Topics in the Theory of Learning (EECS-2024-2)
Jonathan Shafer
Systems for Machine Learning on Edge Devices (EECS-2024-1)
Shishir Patil
Real-Time, Streamable Differentiable DSP Vocoder for Articulatory Synthesis ()
Drake Lin
Scalable and Efficient Systems for Large Deep Learning Models ()
Lianmin Zheng
Printed Interlayers for Organic Solar Cells ()
Sophie Koh
BeeGees: Stayin' Alive in Chained BFT ()
Neil Giridharan, Florian Suri-Payer, Matthew Ding, Heidi Howard, Ittai Abraham and Natacha Crooks
Scaling of Single-Mode Operation in Lasers ()
Rushin Contractor