2024 Papers

Randomized Rounding Approaches to Online Allocation, Sequencing, and Matching

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Efficient Data Distribution Estimation for Accelerated Federated Learning

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CBF-Based STL Motion Planning for Social Navigation in Crowded Environment ⋆

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Metadata-Driven Federated Learning of Connectional Brain Templates in Non-IID Multi-Domain Scenarios

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Data-driven identification of stable differential operators using constrained regression

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An Active Parameter Learning Approach to The Identification of Safe Regions

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PAGE: Domain-Incremental Adaptation with Past-Agnostic Generative Replay for Smart Healthcare

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LINEAR: Learning Implicit Neural Representation With Explicit Physical Priors for Accelerated Quantitative T 1𝜌 Mapping

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Cloudy with a Chance of Green: Measuring the Predictability of 18,009 Traffic Lights in Hamburg

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Enhancing Security Using Random Binary Weights in Privacy-Preserving Federated Learning

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NPC: Neural Predictive Control for Fuel-Efficient Autonomous Trucks

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SkelCap: Automated Generation of Descriptive Text from Skeleton Keypoint Sequences

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A LIGHTWEIGHT FRAMEWORK FOR ADAPTIVE RETRIEVAL IN CODE COMPLETION WITH CRITIQUE MODEL

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A Comparative Analysis of Transformer and LSTM Models for Detecting Suicidal Ideation on Reddit

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Exploring How Non-Prehensile Manipulation Expands Capability in Robots Experiencing Multi-Joint Failure

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Adaptive Control for Triadic Human-Robot-FES Collaboration in Gait Rehabilitation: A Pilot Study

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Future of Home-living: Designing Smart Spaces for Modern Domestic Life

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PPS-QMIX:Periodically Parameter Sharing for Accelerating Convergence of Multi-Agent Reinforcement Learning

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Advancing Autonomous Driving Perception: Analysis of Sensor Fusion and Computer Vision Techniques

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ASYMPTOTIC ERROR DISTRIBUTION OF ACCELERATED EXPONENTIAL EULER METHOD FOR PARABOLIC SPDES

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Efficiently Scheduling Parallel DAG Tasks on Identical Multiprocessors *

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Effectively Leveraging Momentum Terms in Stochastic Line Search Frameworks for Fast Optimization of Finite-Sum Problems

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Effects of Common Regularization Techniques on Open-Set Recognition

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CLASSLA-Express: a Train of CLARIN.SI Workshops on Language Resources and Tools with Easily Expanding Route

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Removal of clouds from satellite images using time compositing techniques Project work by

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BadSAD: Clean-Label Backdoor Attacks against Deep Semi-Supervised Anomaly Detection

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ARBITRARY ORDER APPROXIMATIONS AT CONSTANT COST FOR TIMOSHENKO BEAM NETWORK MODELS

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Simulación de la distribución de alimento en el cultivo de camarón

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SS Linear Fusion Model: Hyperspectral Imaging Efficient Spatial and Spectral Linear Model with Bidirectional Feature Learning

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DEEP LEARNING FOR AUTOMATED DETECTION OF BREAST CANCER IN DEEP ULTRAVIOLET FLUORESCENCE IMAGES WITH DIFFUSION PROBABILISTIC MODEL

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Practical Boolean Decomposition for Delay-driven LUT Mapping

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Thwarting Cybersecurity Attacks with Explainable Concept Drift

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Equitable coloring of sparse graphs *

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Monolithic Silicon-Photonics Linear-Algebra Accelerators Enabling Next-Gen Massive MIMO

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A Modular Conditional Diffusion Framework for Image Reconstruction

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Improving Dialogue Agents by Decomposing One Global Explicit Annotation with Local Implicit Multimodal Feedback

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Enhancing News Summarization with ELearnFit through Efficient In-Context Learning and Efficient Fine-Tuning

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Differentiable Rendering as a Way to Program Cable-Driven Soft Robots

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> REPLACE THIS LINE WITH YOUR MANUSCRIPT ID NUMBER (DOUBLE-CLICK HERE TO EDIT) < A Neural-Network-Embedded Equivalent Circuit Model for Lithium-ion Battery State Estimation

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Towards Memory-Efficient Traffic Policing in Time-Sensitive Networking

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LASERS: LAtent Space Encoding for Representations with Sparsity for Generative Modeling

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Fast Online Movement Optimization of Aerial Base Stations Based on Global Connectivity Map

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Complexity of graph evolutions *

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Polynomial Calculus sizes over the Boolean and Fourier bases are incomparable

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Grasping Object: Challenges and Innovations in Robotics and Virtual Reality

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Foundation Model Makes Clustering A Better Initialization For Cold-Start Active Learning

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Approximating dynamical correlation functions with constant depth quantum circuits

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POAM: Probabilistic Online Attentive Mapping for Efficient Robotic Information Gathering

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A Macroscopic Pedestrian Model with Variable Maximal Density

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Data-driven Viscosity Solver for Fluid Simulation

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