Trusted Execution Environments in RISC-V
Neurosymbolic Reasoning for Mathematical Domains
Learning Discrete Stochastic Models of Eukaryotic Transcription
Non-Convex Optimization for Deep Neural Networks
Dynamically Regulating Gene Expression Using Recombinases
Adapting PRIMERA for Query-Based Multi-Document Summarization
Onsite Synthesis of Quantum Materials for Device Integration
Learning to Initialize Constraint-Based TAMP
Security Solutions for Anti-Counterfeiting of Agricultural Seeds
Improving Transfer Learning in Machine Learning for Healthcare
Improving In-Hospital Mortality Prediction Algorithms: Study and Evaluation on HiRID Data
Fast Object Detection and Localization via Probabilistic Inverse Graphics
Knowledge-Enhanced Protein Language Models for Therapeutics
Scaling and Accelerating Hardware Simulation
Improved Computer Vision Benchmarks with Human Psychophysics Experiments
Detection of Speech Impairment Associated with Cleft Lip and Palate
TinyFL: Federated Learning on Edge Devices
Developing a Scaled-Up, Handheld Permanent Magnet MR Imager
Programmable Smart Devices for Gastrointestinal-Based Drug Delivery and Health Monitoring
Improved Smart Vaccine Allocation Systems
Composable Building Blocks for Distributed Applications
Enabling On-the-Fly Learning for Resource-Constrained Robots
Transfer Learning through Latent Representations of Exteroceptive Signals
Predicting Response of Pediatric IBD Patients to Drug Therapies
Designing an FM System for Passive Underwater Temperature Sensing.
Inference of Transcriptional Regulation by Analysis of Single-Cell Pseudotemporal Trajectories
A Recurrent Network Approach to G-Computation for Sepsis Treatment Outcome Prediction under Dynamic Treatment Strategies in the ICUs
Cracking the Code of Pattern Selection in Drying Suspensions
Formal verification of a distributed lock service
Learning Local Navigation for Quadruped Locomotion using Human Guidance
Bioresorbable Osmotic Pump for Long-Term Contraception
Identifying and Removing Bias from Data in Decision Making Systems
Dark Patterns, Privacy, and Policy Conformance.
Acoustic-Cue-Based Speech Analysis for Recognition: Nasalization
Investigating the Conceptual Limitations of Diffusion Models and its Philosophical Significance
Optogenetic Investigation of the Gut-Brain Axis in Parkinson’s Disease
Evaluation of Teaching To Defer with Explanations
Online HD Map Generation For Autonomous Vehicles
More Than One Model for Learning: A Computational Investigation
Survival Prediction using Self-Supervised Multimodal Pretraining
Using Machine Learning Models on Heart Rate Levels to Detect Stress
Polygenic Dissection of Phenotypic Heterogeneity in Alzheimer’s Disease
Improving Techniques in Meta-Learning
Causal Representation Learning for Predicting Drug Effects on Gene Expression.
Exploring Security Vulnerabilities in Modern Processors
Fairness in Natural Language Generation
Learning Generalizable Control Policies for Soft Robots from Self-Supervised Morphological Features
Improving Intravital SLAM Microscopy Using Event Detection
Let's Work Together...or Not!
Robust OCR Pipelines for Automated Key-Value Pair Extraction and Document Classification
Transforming Datacenter Applications to Microsecond Latency with Continuous Profile-Guided Optimization
Print by Numbers: Digitalizing Printmaking
Wind Tunnel Wall Correction Methods
Enhancing the Response of Thin-Film Piezoelectric Speakers with Perovskite Materials
Application of Spatial Transcriptomics to Ovarian Cancer
Mechanical Circulatory Support's Hemodynamic Effect on the Aorta and Clotting
Visualizing Predictive Evolutions of the Latent Space
High Temperature GaN Device Characterization and Simulation Framework
Short Range Recovery Planning for Autonomous Vehicles in Offroad Environments
Rotation-Enabled Multi-Tip Active Probe Atomic Force Microscopy (ReMAP AFM)
Visualizing and Predicting Human Behavior
Integrating Gene Expression Datasets Using Machine Learning
Single-Cell Dissection of Human Microglia across Age, Sex, and CNS Diseases
Integrated Optical Phased Array for Independent Amplitude and Phase Control
Zero-Shot Knowledge Transfer with Compositional Learning
Large Scale Additive Manufacturing of Low-Cost Homes from Recycled Polymer
Towards an AI Policy Toolkit
Risks in the AI Deployment Supply Chain
Understanding Vision-and-Language Processing in the Brain
Robot Swarms for 3D Printing
Improving Gene Regulatory Network Inference from Single-Cell RNA Data Using Data Diffusion-Based Imputation
Neural Video Conferencing
Measuring Benchmark Value
Motion Planning with Graph of Convex Sets for Mobile Manipulators
A Superconducting Cage Mechanism for Multi-Axial Magnetic Field Stabilization in a Surface-Electrode ion Trap
Pseudo-Determinism in Sublinear and Parallel Algorithms
Development of an Integrated Photovoltaic-Powered Electrodialysis Reversal Desalination and Low-Pressure Drip Irrigation System
Presence of Causal Concept-based Interpretability in Network Dissection
Manifold Learning for Fetal Heart Rate Detection
Laser Aperture Optimization with Machine Learning
Probabilistic Generative Modeling of Protein Structure and Sequence
Optimizing Microbial Desalination Cells: Coupling Clean Energy Technology with Water Desalination
Simultaneous Imaging of Label-Free Autofluorophores for Cancer Diagnosis
Tactile Localization for Drone Navigation in Adverse Conditions
Promoting Accessible AI through Visual Rule Interfaces in the Context of an Educational Game
Immune Hub Analysis Using Spatial Sequencing Data for Colorectal Cancer
Towards Better Social Media Regulation
