Technical Reports - 2023
Ethos: Designing Algorithmic Mechanisms for Increased Fairness, Stakeholder Empowerment, and Systemic Accountability (EECS-2023-294)
Liya Mulugeta
Optimization-Based Mappers and Lower Bounds for Tensor Problems (EECS-2023-293)
Grace Dinh
Improved Interior Point Methods for Some Structured Combinatorial Problems (EECS-2023-292)
Tarun Kathuria
Designing for Reliability in Algorithmic Systems (EECS-2023-289)
Samantha Robertson
Gaussian Entropy Inequalities (EECS-2023-288)
Efe Aras
Transformers on Dynamical Systems - An Exploration of In-context Learning (EECS-2023-287)
Saagar Sanghavi
A Modular Design Flow for NoC-embedded FPGAs (EECS-2023-284)
Tan Nguyen
Perceiving People over Long Periods: Algorithms, Architectures & Datasets (EECS-2023-282)
Karttikeya Mangalam
Optimized Receive Frontend Hardware for Magnetic Particle Imaging, Characterization Tools, and Biosensors (EECS-2023-281)
Quincy Huynh
Vision-Based Deep Reinforcement Learning for Autonomous Drone Flight (EECS-2023-280)
Varun Saran and Avideh Zakhor
High-Performance Grid-Tied Single-Phase Power Converter Design with Applications in Electric Vehicle Charging and Residential Photovoltaic Systems (EECS-2023-279)
Kelly Fernandez
Switching Schemes for Hybrid Switched-Capacitor DC-DC Power Converters (EECS-2023-276)
Maggie Blackwell
An Integrated Circuit Design Framework for Human, Computer, and ML Designers (EECS-2023-275)
Dan Fritchman
Efficient Resource Management for Machine Learning (EECS-2023-273)
Romil Bhardwaj
Phonon-protected superconducting qubits (EECS-2023-269)
Mutasem Odeh
A Deserialization Architecture for GC Languages (EECS-2023-268)
Ethan Wu and Viansa Schmulbach
Algorithm Design for Safe and Efficient Societal-Scale Navigation (EECS-2023-267)
Chih-Yuan Chiu
Implicit Modeling for 3D Applications (EECS-2023-266)
Shizhan Zhu
Simplicial Reaction Networks and Dynamics on Graphs (EECS-2023-265)
Rachel Lawrence
Toward Usable Programming Systems for Geospatial Analysis and Visualization (EECS-2023-264)
Parker Ziegler
Scale-MAE: A Scale-Aware Masked Autoencoder for Multiscale Geospatial Representation Learning (EECS-2023-263)
Ritwik Gupta, Colorado Reed, Shufan Li, Sarah Brockman, Christopher Funk, Brian Clipp, Kurt Keutzer, Salvatore Candido, Matt Uyttendaele and Trevor Darrell
Integrated Low-Power Wireless Systems for the Next Generation of IoT, Sensors and Microrobots (EECS-2023-262)
Alex Moreno
Learned Formal Proof Strengthening for Efficient Hardware Verification (EECS-2023-260)
Minwoo Kang, Azade Nova, Eshan Singh, Geetheeka Sharron Bathini and Yuriy Viktorov
Recent Developments in Robust Statistics (EECS-2023-259)
Yeshwanth Cherapanamjeri
Generating Optimal Molecules with Synthesizability and 3D Equivariant Conformational Constraints (EECS-2023-257)
Enabling Non-Experts to Develop Distributed Trust Applications (EECS-2023-256)
Nicholas Ngai
High-Fidelity 3D Mesh Reconstruction of Humans and Objects (EECS-2023-254)
Shubham Goel
Sparsity-aware communication for distributed graph neural network training (EECS-2023-253)
Ujjaini Mukhopadhyay
Text-to-Image Model for Protein Localization Prediction (EECS-2023-251)
Emaad Khwaja
Wearable Humidity Sensor for Continuous Sweat Rate Monitoring (EECS-2023-250)
Ashwin Aggarwal, Manik Dautta, Luis Fernando Ayala-Cardona, Aalaya Wudaru and Ali Javey
DreamSheets: Spreadsheets as Exploratory User Interface for Text-To-Image Models (EECS-2023-248)
Frederick Kim, J.D. Zamfirescu-Pereira and Shm Almeda
Quantifying Stablecoin Stability and Decentralized Autonomous Organization (DAO) Autonomy (EECS-2023-247)
Kornrapat Pongmala
On Problem Specification and Self-Referential Claims (EECS-2023-246)
Michael Dennis
Distributional Interpretation of Control Strategies for a Multiplicative Observation Noise System (EECS-2023-245)
Moses Won
Neural Prosthetic with In-sensor Shared Control (EECS-2023-244)
Alisha Menon
Robot Planning and Execution with Unreliable Models (EECS-2023-243)
Ellis Ratner
Leveraging Speaker Context for Natural Language Processing (EECS-2023-242)
Samee Ibraheem
Fully Integrated Electronic-Biophotonic System-on-Chip for Real-Time Label-Free Molecular Sensing (EECS-2023-241)
Christos Adamopoulos
Sensing Systems Using Large Area Printed Organic Electronics (EECS-2023-240)
Mahsa Sadeghi and Ana Claudia Arias
The perpetual motion machine of AI-generated data and the distraction of “ChatGPT as scientist” (EECS-2023-239)
Jennifer Listgarten
Ordering Interventions for Hardware Security (EECS-2023-238)
Viansa Schmulbach
Sequential Self-assembly of DNA-based Nanoscale Platform for the Fabrication of Nanophotonics (EECS-2023-237)
Myoungseok Kim and Grigory Tikhomirov
Hardness of Approximation for 2 → 4 Norms through Quantum Reductions (EECS-2023-236)
Rohit Agarwal, Axel Li, Anthony Maltsev and Anirba Sarkar
Packed Memory Arrays for Dynamic Graphs in the Distributed Memory Setting (EECS-2023-235)
Rohit Agarwal, Alec James and Joshua You
The Unprecedented Risks and Opportunities of Extended Reality Motion Data (EECS-2023-232)
Vivek Nair
Human-Centric Reward Design (EECS-2023-231)
Yu Qing Du
Specifying and Generating Abstract Models for Formal Security Analysis (EECS-2023-230)
Adwait Godbole, Kevin Cheang, Yatin Manerkar and Sanjit A. Seshia
Constrained machine learning: algorithms and models (EECS-2023-229)
Geoffrey Negiar
Scheduling Image Processing Algorithms in Halide for x86, AVX and RISC-V RVV Targets (EECS-2023-228)
Sonali Naphade
Precise Pulse Discrimination for Space-Based Timing Front Ends (EECS-2023-227)
Lydia Lee
Synthesizing Complex-Valued MRI data from Magnitude-Only Images (EECS-2023-225)
nikhil deveshwar
Formal Specification and Verification of Secure Information Flow for Hardware Platforms (EECS-2023-224)
Kevin Cheang
Reinforcement Learning from Static Datasets: Algorithms, Analysis, and Applications (EECS-2023-223)
Aviral Kumar
Accelerating Electronic Structure Calculations with Machine Learning (EECS-2023-222)
Daniel Rothchild, Aditi Krishnapriyan and Joseph Gonzalez
CS 375: A Climate-First Approach to Training Student Teaching Assistants (EECS-2023-221)
Victor Huang
Instance-dependent Optimality in Statistical Decision-making (EECS-2023-220)
Wenlong Mou
Offline Data-Driven Optimization: Benchmarks, Algorithms and Applications (EECS-2023-219)
Xinyang Geng
Hybrid Switched-Capacitor Converter Design: State-Space Dynamical Modeling and Passive Device Characterization (EECS-2023-218)
Nathan Brooks and Robert Pilawa-Podgurski
Exploratory Design and Control of an Over-Actuated Drone (EECS-2023-217)
Riddhi Bagadiaa
Feedforward MLSE Equalization for High Speed Serial Links (EECS-2023-215)
Paul Kwon
Simulation-Based Testing, Validation, and Training with Probabilistic Programming (EECS-2023-214)
Edward Kim
Design Methodologies and Automated Generation of Ultra High Speed Wireline SerDes Transmitters (EECS-2023-213)
Ayan Biswas
Efficient Clustering Frameworks for Federated Learning Systems (EECS-2023-212)
Jichan Chung, Avishek Ghosh, Dong Yin, Kangwook Lee and Kannan Ramchandran
Towards Operating Underactuated Robotic Systems by Going With the Flow (EECS-2023-211)
Marius Wiggert
Geometry of Local-spectral Expanders (EECS-2023-210)
Siqi Liu
Enhancing Visual Media Through Reflection and Recomposition (EECS-2023-209)
Jeremy Warner
Contributions to the Statistical Foundation of Data-Driven Control (EECS-2023-207)
Alex Devonport
Multimodal Long-Term Video Understanding (EECS-2023-206)
Medhini Gulganjalli Narasimhan
Rapid Adaptation for Robot Control (EECS-2023-205)
Ashish Kumar
Compositional Proofs of Information Flow Properties for Hardware-Software Platforms (EECS-2023-204)
Kevin Cheang, Adwait Godbole, Yatin A. Manerkar and Sanjit A. Seshia
Evaluating and Optimizing Distributed Energy Resources (EECS-2023-203)
Utkarsha Agwan
Vision and Language Understanding Through Generative Modeling (EECS-2023-202)
SETH PARK
Phase Transitions in Inference (EECS-2023-201)
Sidhanth Mohanty
Aligning Robot Representations with Humans (EECS-2023-200)
Andreea Bobu
Data-Centric Machine Learning for Human-Centric Applications (EECS-2023-198)
Hari Prasanna Das
Algorithms for Suture Placement and Seed Placement: Planar Geometric Optimization for Surgery and Agriculture (EECS-2023-196)
Varun Kamat
Five Field Kono Solver: Simplicity Brought to Solving Complexity (EECS-2023-195)
Andrew Lee
Rethinking System Design for Expressive Cryptography (EECS-2023-194)
Sam Kumar
Scalable Binding (EECS-2023-192)
Allan Jabri
Toward Trustworthy Scientific Inquiry and Design with Machine Learning (EECS-2023-191)
Clara Wong-Fannjiang
Deep Generative Models for Decision-Making and Control (EECS-2023-190)
Michael Janner
Scalable Representations for Vision and Robotics (EECS-2023-189)
Tete Xiao
Towards Practical SQL Equivalence Reasoning (EECS-2023-188)
Shuxian Wang
Perception Stack for Indy Autonomous Challenge and Reinforcement Learning in Simulation Autonomous Racing (EECS-2023-187)
Tianlun Zhang
Techniques for Solving and Visualizing Large Games (EECS-2023-186)
Cameron Cheung
Towards Enabling Deployment of Lingua Franca on Distributed Embedded Devices (EECS-2023-185)
Anirudh Rengarajan
Cloudless and Mixclaves (EECS-2023-184)
Vikranth Srivatsa
Enhancing GAN-based Vocoders with Contrastive Learning (EECS-2023-183)
Haoming Guo, Gerald Friedland and Gopala Krishna Anumanchipalli
Improve Model Inference Cost with Image Gridding (EECS-2023-182)
Shreyas Krishnaswamy
Towards Robust and Scalable Large Language Models (EECS-2023-180)
Paras Jain
Going Beyond Hyperscaler Clouds in the Sky Ecosystem with SkyPilot (EECS-2023-179)
Edward Zeng
Magnetic Resonance Image Reconstruction with Greater Fidelity and Efficiency (EECS-2023-178)
Ke Wang
Computer Science at UC Berkeley: The Consequences and Considerations of Running Courses at Scale (EECS-2023-177)
Alex Schedel
Pretrained Representations for Embodied AI (EECS-2023-176)
Sasha Sax
Modeling EOL Degradation for NBTI Reliability of Low EOT Negative Capacitance p-SOI MOSFETs (EECS-2023-175)
Neeraj Shenoy
Neural Software Abstractions (EECS-2023-172)
Michael Chang
HOLMES: Efficient Distribution Testing for Secure Collaborative Learning (EECS-2023-171)
Ian Chang, Katerina Sotiraki, Weikeng Chen, Murat Kantarcioglu and Raluca Ada Popa
Enhancing NLP Model Performance Through Data Filtering (EECS-2023-170)
Sibo Ma
Respiratory and Cardiac Motion Correction Using the Beat Pilot Tone (EECS-2023-169)
Katie Lamar
An Architectural Power Model for Networks on Chip (EECS-2023-168)
Animesh Agrawal
Smash: A Dictionary-Free String Distance Metric that Considers Acronyms, Abbreviations, and Typos (EECS-2023-167)
Joshua Wu
Improving Parking Lot Efficiency through Autonomous Control and Assignment Strategies: A Microscopic Traffic Simulation Analysis (EECS-2023-166)
Alex Wong
Liberating the Siloed Gateway: Application-Agnostic Connectivity and Interaction for the Internet of Things (EECS-2023-165)
Thomas Zachariah
Discussion-like Lab Sections for the UC Berkeley CS61C: Great Ideas in Computer Architecture Course (EECS-2023-164)
Connor (Cece) McMahon
Transferable Generative Models (EECS-2023-161)
Ajay Jain
Sequential Decision Making under Uncertainty: Optimality Guarantees, Compositional Learning, and Applications to Robotics and Ecology (EECS-2023-160)
Michael Lim
Pulsed Electroluminescent Devices for Emission Across Energy and Length Scales (EECS-2023-158)
Vivian Wang
Exploring the Encoding Scheme of the Brain by Generating Images on Axes in a Common Space (EECS-2023-157)
Jackson Gao
An Investigation of Gender Bias in Pair Programming (EECS-2023-155)
Asli Akalin
Control and Simulation of Power Electronic Dominated Power Systems (EECS-2023-154)
Ciaran Roberts
Scaling Part Models: Challenges and Solutions for Robustness on Large Datasets (EECS-2023-153)
Nabeel Hingun
Safe and Efficient Robot Learning by Biasing Exploration Towards Expert Demonstrations (EECS-2023-152)
Albert Wilcox
Autograding in CS 61B (EECS-2023-151)
Ethan Ordentlich
Towards Efficient and Robust Out-of-Distribution Deep Learning with Implicit Models (EECS-2023-150)
Ashwin Ganesh
On Imitating Proprietary Language Models (EECS-2023-149)
Arnav Gudibande
Treating Models Better for Language-agnostic Understanding (EECS-2023-148)
Brian Yu
Bridging the Gap between Humans and Machines in 3D Object Perception (EECS-2023-147)
Jasmine Collins
Embeddings for Optimization Modulo Theories Learned by Graph Neural Network Guided Solvers are Robust to Logical Space Perturbations (EECS-2023-143)
Chirag Sharma
Implementation of an Open-Source Generator for LPDDR4X Memory Controller (EECS-2023-142)
Reza Sajadiany
Exploring the Limits of Small Language Models (EECS-2023-141)
Nicholas Lee, Kurt Keutzer and Gopala Krishna Anumanchipalli
Contrastive Learning for Combinatorial Optimization (EECS-2023-140)
Mohamed Elgharbawy
Ising Machines: Theory and Practice (EECS-2023-138)
Naomi Sagan and Jaijeet Roychowdhury
A Composable Mixed-Signal Generator Framework with Applications to an SRAM Compiler (EECS-2023-137)
Rahul Kumar
An Exploration into 3D Generative Models with Nerfstudio (EECS-2023-132)
Terrance Wang
Reference-Free Image Quality Metric for Degradation and Reconstruction Artifacts (EECS-2023-130)
Han Cui
Probabilistic State Estimation to Enable Manipulation and Interactive Perception for Robotic Cable Untangling and Object Search (EECS-2023-129)
Kaushik Shivakumar and Ken Goldberg
Object and Scene Reconstruction using Neural Radiance Fields (EECS-2023-128)
Matthew Tancik
ShengJi+: Playing Tractor with Deep Reinforcement Learning (EECS-2023-127)
Jerry Shan
Layerwise Training of Deep Neural Networks (EECS-2023-126)
Elicia Ye, Tianyu Pang, Alex Zhao, Yefan Zhou, Yaoqing Yang, Michael Mahoney and Kannan Ramchandran
Query Aware Synthetic Data Generation (EECS-2023-124)
Zoey Sun
Perception for Real-World Robotic Applications (EECS-2023-122)
YuXuan Liu and Pieter Abbeel
AlphaGarden: Leveraging Simulation in Developing an Autonomous Real-Sim-Real Pipeline for Polyculture Gardening (EECS-2023-120)
Rishi Parikh
Learned Token Pruning for Efficient Transformer Inference (EECS-2023-119)
Sehoon Kim, Sheng Shen, David Thorsley, Amir Gholami, Woosuk Kwon, Joseph Hassoun and Kurt Keutzer
LoopNeRF: Exploring Temporal Compression for 3D Video Textures (EECS-2023-118)
Alexander Kristoffersen
Flextensions: Exploring the Impact of Flexible Extensions (EECS-2023-117)
Fuzail Shakir
Efficient Visualization Recommendation under Updates (EECS-2023-116)
Todd Yu
Toward Platform-based Building Design (EECS-2023-111)
Wendy Lin
STraP: Self-Training for Proteins (EECS-2023-110)
Arbaaz Muslim and Nilah Ioannidis
Codon Usage Bias Regulates the Dynamics of Protein Translation (EECS-2023-109)
Frank Liu, Yun S. Song, Dasheng Bi, Daniel Erdmann-Pham and Sanjit Batra
Generative Models of Images and Neural Networks (EECS-2023-108)
Bill Peebles
Autonomous Learning for Industrial Manipulation: Enhancing Grasping and Insertion Tasks through Scalable Data Collection (EECS-2023-107)
Letian Fu
Recent Advances in Urban Mobility: Analyzing Efficiency, Equity and Safety (EECS-2023-106)
Akhil Shetty
Making Reversible Transformers Accurate, Efficient, and Fast (EECS-2023-104)
Tyler Zhu
Ashera; Neural Guided Optimization Modulo Theory (EECS-2023-103)
Justin Wong, Pei-Wei Chen, Tianjun Zhang, Joseph Gonzalez, Yuandong Tian and Sanjit A. Seshia
Conservative Objective Models for Biological Sequence Design (EECS-2023-102)
Sathvik Kolli
Active Reinforcement Learning for Robust Building Control (EECS-2023-101)
Austin Jang
Generative Models for Image and Long Video Synthesis (EECS-2023-100)
Tim Brooks
Benchmarks for RL on Goal-directed Language Tasks with LLMs (EECS-2023-98)
Charles Sun
Novel Non-Volatile Memory Devices and Applications (EECS-2023-97)
Tsegereda Esatu
Investigating Training Dynamics of Transformer Models on Algorithmically Generated In-Context Learning Datasets (EECS-2023-96)
Harry Zhao
Generalizing Perception Systems Applied to Untangling Long Cables (EECS-2023-95)
Vainavi Viswanath
A Predator-Prey Perspective on the Tumor Microbiome (EECS-2023-94)
Michael Lam
Hardware Software Co-design and Architectural Optimization of Deep Learning Models for Natural Language Processing (EECS-2023-92)
Thanakul Wattanawong and Kurt Keutzer
Mapspace Optimization for Tensor Computations with Bayesian Learning (EECS-2023-91)
J V Iniyaal Kannan
Solving Ising Model Optimization Problems with Restricted Boltzmann Machines on Google Tensor Processing Units (TPUs) (EECS-2023-90)
Kaitlyn Chan
Perceptive Hexapod Legged Locomotion for Climbing Joist Environments (EECS-2023-89)
Zixian Zang and Avideh Zakhor
Robust Machine Learning for the Control of Real-world Robotic Systems (EECS-2023-88)
Tyler Westenbroek
Geometry-Inspired Sampling Algorithms and Random Graphs (EECS-2023-87)
Elizabeth Yang
Test-Time Training (EECS-2023-86)
Yu Sun
Leveraging Machine Learning for Quantum Circuit Optimization (EECS-2023-84)
Mathias Weiden
Performance and comparison of current sequence-based models on individual gene expression prediction (EECS-2023-83)
Connie Huang
Exploring alternative designs for a computational hyperspectral imager for microscopy (EECS-2023-82)
Yashovardhan Raniwala
Co-Designing for Transparency: Lessons from Building a Document Organization Tool for the Criminal Justice Domain (EECS-2023-81)
Hellina Hailu Nigatu, Lisa Pickoff-White, John F. Canny and Sarah Chasins
Performative Prediction: Theory and Practice (EECS-2023-80)
Juan Perdomo
High Performance Hybrid Switched-Capacitor Converters for Aerospace Applications (EECS-2023-79)
Sam Coday and Robert Pilawa-Podgurski
Similarity-Based Representation Learning (EECS-2023-78)
Yi Liu, Andreea Bobu and Anca Dragan
Deformation in Robotics: Applications in Tactile Sensing and Grasp Planning (EECS-2023-76)
Isabella Huang
Learning Low-Dimensional Structure via Closed-Loop Transcription: Equilibria and Optimization (EECS-2023-74)
Druv Pai
Learning to Design Protein and DNA Libraries (EECS-2023-73)
Akosua Busia
Preliminary Studies on Defending Image Adversarial Attacks with Domain Adaptation Algorithms (EECS-2023-72)
Zheng Zhang
Structure-Driven Algorithm Design in Optimization and Machine Learning (EECS-2023-71)
Tianyi Lin
Dropout Reduces Underfitting (EECS-2023-70)
Oscar Xu
Mixclave Networks: Building Mixnets with Hardware Enclaves (EECS-2023-67)
Mark Theis
Amorphous Pt 1-x Ge x for Spintronics Applications: Growth and Characterization (EECS-2023-66)
Megumi Tanaka
Prediction and Statistical Inference in Feedback Loops (EECS-2023-65)
Tijana Zrnic
AI Safety: Model Trojaning and Benchmarking (EECS-2023-64)
Akul Arora
Photorealistic Reconstruction from First Principles (EECS-2023-63)
Sara Fridovich-Keil
IDQL: Implicit Q-Learning as an Actor-Critic Method with Diffusion Policies (EECS-2023-62)
Philippe Hansen-Estruch, Ilya Kostrikov, Michael Janner, Kuba Grudzien and Sergey Levine
VectorFusion: Text-to-SVG by Abstracting Pixel-Based Diffusion Models (EECS-2023-61)
Amber Xie, Ajay Jain and Pieter Abbeel
Hydrogel Actuated Carbon Fiber Microelectrode Array (EECS-2023-59)
Oliver Chen
Computational methods for regulating transcription and translation (EECS-2023-58)
Sanjit Batra
Printed Biodegradable Wireless Soil Nitrate Sensor Nodes (EECS-2023-57)
Carol Baumbauer
Ear EEG: Sensors and Systems for User-generic Neural Hearables (EECS-2023-56)
Ryan Kaveh
Optical Voltage Sensing: Micro- to Kilo-Scale (EECS-2023-55)
Jordan Edmunds
Generic architectures for efficient Hyper-Dimensional Computing (EECS-2023-54)
Sohum Datta
The impact of information-aware routing on road traffic (EECS-2023-52)
Theophile Cabannes
A Two-regime Model Of Network Pruning: Metrics And Scaling Laws (EECS-2023-51)
Yefan Zhou, Steven Gunarso, Chen Wang, Yaoqing Yang and Michael Mahoney
Passive Radio Frequency Beamformer Using Transmission-Line Transformers And Tunable Capacitors (EECS-2023-50)
Matthew Anderson, Ali Niknejad and Jan M. Rabaey
GeneDrive.jl: A Julian Approach to Simulating Biological Dynamics and Control (EECS-2023-49)
Valeri Vasquez, Murat Arcak and David Anthoff
Diversity in Dialogue Generation (EECS-2023-48)
Katherine Stasaski
High Speed Software Radio on General Purpose CPUs (EECS-2023-47)
Christopher Yarp
Intensity Based Visualization of Pulmonary Biomarkers on Ultrashort Echo Time (UTE) MRI (EECS-2023-46)
Darren Hsu
Multiphoton Magnetic Resonance Imaging (EECS-2023-45)
Victor Han
Scaling Phased Array Receivers to Massive MIMO and Wide Bandwidth with Analog Baseband Beamforming (EECS-2023-44)
Emily Naviasky
Understanding Radiative Recombination in Two Dimensional Semiconductors (EECS-2023-42)
Shiekh Zia Uddin
Analog Optical Links: Modeling and Implementation (EECS-2023-41)
Sidney Buchbinder
Millimeter-Wave Receiver and Package Design Close to the Device Activity Limits (EECS-2023-40)
Nima Baniasadi
Modeling, Designing, and Measuring EUV Photomasks (EECS-2023-37)
Stuart Sherwin
Analog Generators for SerDes Clock Generation and Distribution (EECS-2023-36)
Zhongkai Wang and Elad Alon
Realization of a Fully Integrated Electronic-Photonic Sensor-Receiver Array for Endoscopic Ultrasound (EECS-2023-35)
Panagiotis Zarkos
Ansor: Generating High-Performance Tensor Programs for Deep Learning (EECS-2023-34)
Lianmin Zheng, Chengfan Jia, Minmin Sun, Zhao Wu, Cody Yu, Ali Ameri, Yida Wang, Jun Yang, Danyang Zhuo, Koushik Sen, Joseph Gonzalez and Ion Stoica
Optical Meta-structures for Exceptional Points, Bound States in the Continuum, and Polarization Control (EECS-2023-33)
Haoye Qin
Optical Beamforming Techniques for Solid-State Automotive LIDAR (EECS-2023-30)
Pavan Bhargava
Smart and Robust Biomedical Interfaces (EECS-2023-29)
Andy Zhou
An Implantable Radiation Detector for Cancer Radiotherapy (EECS-2023-27)
Kyoungtae Lee
High-performance FMCW LiDAR with MEMS Optical Beam Scanner (EECS-2023-26)
Xiaosheng Zhang
The hippocampal code - Towards understanding neural representations underlying spatial navigation (EECS-2023-25)
Archit Gupta
Eye Blink Classification for Ear EEG (EECS-2023-24)
Carolyn Schwendeman
In Silico Metabolic Modeling of Single Th17 Cells Reveals Regulators of Autoimmunity (EECS-2023-23)
Allon Wagner
Solution Processed Electronics for Flexible Hybrid Electronic Systems (EECS-2023-22)
Jonathan Ting
Photonic heat engines at thermodynamic limits (EECS-2023-21)
Zunaid Omair
Contextual Inquiry into Programmers’ Use of Mimi and Implications for Embedded DSL Design (EECS-2023-20)
Lisa Rennels and Sarah Chasins
Randomized Numerical Linear Algebra: A Perspective on the Field With an Eye to Software (EECS-2023-19)
Riley Murray, James Demmel, Michael W. Mahoney, N. Benjamin Erichson, Maksim Melnichenko, Osman Asif Malik, Laura Grigori, Piotr Luszczek, Michal Derezinski, Miles E. Lopes, Tianyu Liang, Hengrui Luo and Jack Dongarra
Data and Label Efficient Representation Learning (EECS-2023-18)
Colorado Reed
A Principled Intelligent Occupational Training of Psychomotor Skills in Virtual Reality (EECS-2023-17)
Edward Kim, Zachary Pardos, Sanjit A. Seshia and Björn Hartmann
Conversation Regression Testing: A Design Technique for Prototyping Generalizable Prompt Strategies for Pre-trained Language Models (EECS-2023-16)
J.D. Zamfirescu-Pereira, Björn Hartmann and Qian Yang
Algorithms for Context-Aided Variable Elimination (EECS-2023-15)
Inigo Incer, Albert Benveniste, Richard M. Murray, Alberto L. Sangiovanni-Vincentelli and Sanjit A. Seshia
Differentiable Subdivision Surface Fitting (EECS-2023-14)
Tianhao Xie, Brian A. Barsky, Sudhir Mudur and Tiberiu Popa
Latency-Aware Short-Term Video Action Anticipation and its Application in Trajectory Prediction (EECS-2023-13)
Harshayu Girase
Resource-Constrained Sensing as a Shared Utility (EECS-2023-12)
Joshua Adkins
Microscopy Slide Image Segmentation of Invasive Melanoma (EECS-2023-10)
Franklin Wang, Mike Wang and Avideh Zakhor
Microscopy Slide Image Segmentation of Invasive Melanoma (EECS-2023-9)
Franklin Wang, Mike Wang and Avideh Zakhor
Expanding the Capabilities of Voxelwise Modeling for Naturalistic Brain Decoding (EECS-2023-5)
Ryan Ong
Developing and Deploying Sim-to-Real Reinforcement Learning Techniques with Applications in Energy Systems (EECS-2023-4)
Lucas Spangher
Hardware Accelerators and Optimization Algorithms for Unconventional Computing (EECS-2023-3)
Philip Canoza
Katara: Synthesizing CRDTs with Verified Lifting (EECS-2023-2)
Shadaj Laddad, Conor Power, Mae Milano, Alvin Cheung and Joseph M. Hellerstein
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Unsupervised Online Learning for Seizure Detection and Prediction ()
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Automated and Process-Portable Generation of Data Converters ()
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