Discovering Visual Entities (EECS-2024-52)
Dave Epstein

THOUGHTSCULPT: Reasoning with Intermediate Revision and Search (EECS-2024-50)
Yizhou Chi, Kevin Yang and Daniel Klein

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

Towards A Machine Capable of Learning And Discovering Everything (EECS-2024-47)
Hao Liu

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

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