yusuke1997/dblp-id-title huggingface dataset:
Practical Parallel Self-testing of Bell States via Magic Rectangles
Finitely presented monoids with linear Dehn function need not have regular cross-sections
Efficient Evaluation of the Probability Density Function of a Wrapped Normal Distribution
Optimal Measurement Policy for Predicting UAV Network Topology
Neural Operator for Accelerating Coronal Magnetic Field Model
Incomplete Air Mixing Reduces the Efficiency of Commercial Buildings Behaving as Virtual Batteries
Clock synchronization over networks using sawtooth models
Neumann Series-based Neural Operator for Solving Inverse Medium Problem
Learning image transformations without training examples
A Type-Theoretical Definition of Weak ω-Categories
Newton's method for nonlinear mappings into vector bundles Part II: Application to variational problems
Minimal resolving sets for the hypercube
Development of a multi-sensor perceptual system for mobile robot and EKF-based localization
Joint power and resource allocation of D2D communication with low-resolution ADC
On Numerical Error Propagation with Sensitivity
A Moral Imperative: The Need for Continual Superalignment of Large Language Models
Think Outside the Code: Brainstorming Boosts Large Language Models in Code Generation
Optimizing Search API Queries for Twitter Topic Classifiers Using a Maximum Set Coverage Approach
A Fuzzy Approach for Pertinent Information Extraction from Web Resources
Is calibration a fairness requirement? An argument from the point of view of moral philosophy and decision theory
Simple Recurrence Improves Masked Language Models
Translate to Adapt: RGB-D Scene Recognition across Domains
Three-Stream Joint Network for Zero-Shot Sketch-Based Image Retrieval
Caching Strategies for Information Centric Networking: Opportunities and Challenges
Queueing Analysis in Multiuser Multi-Packet Transmission Systems Using Spatial Multiplexing
Negotiating Highway Interchange Traffic with a Decentralized Instability-Driven CBF-based Algorithm
Fruit Quality and Defect Image Classification with Conditional GAN Data Augmentation
Solving Cold-Start Problem in Large-scale Recommendation Engines: A Deep Learning Approach
Interpretability-Driven Sample Selection Using Self Supervised Learning For Disease Classification And Segmentation
Predicting the Future of the CMS Detector: Crystal Radiation Damage and Machine Learning at the LHC
PSGR: Pixel-wise Sparse Graph Reasoning for COVID-19 Pneumonia Segmentation in CT Images
Mapping an Audience Centric World Wide Web: A Departure From Hyperlink Analysis
CATSNet: a context-aware network for Height Estimation in a Forested Area based on Pol-TomoSAR data
Towards Unified Music Emotion Recognition across Dimensional and Categorical Models
Review of Learning-Assisted Power System Optimization
Fuzzified advanced robust hashes for identification of digital and physical objects
Human Motion Synthesis_ A Diffusion Approach for Motion Stitching and In-Betweening
Application of Deep Reinforcement Learning to At-the-Money S&P 500 Options Hedging
Image Encryption and Decryption in A Modification of ElGamal Cryptosystem in MATLAB
Exascale Workflow Applications and Middleware: An ExaWorks Retrospective
Language Grounded Multi-agent Communication for Ad-hoc Teamwork
AVA-ActiveSpeaker: An Audio-Visual Dataset for Active Speaker Detection
AI's Impact on Traditional Software Development
Advancements and Challenges in Object-Centric Process Mining: A Systematic Literature Review
Nonlinear Fokker-Planck Acceleration for Forward-Peaked Transport Problems in Slab Geometry
Ethics Readiness of Technology: The case for aligning ethical approaches with technological maturity
The importance of evaluating the complete automated knowledge-based planning pipeline
Overview of the Plagiarism Detection Task at PAN 2025
Kullback-Leibler and Renyi divergences in reproducing kernel Hilbert space and Gaussian process settings
Approximation of the Proximal Operator of the ℓ ∞ Norm Using a Neural Network
POPPINS : A Population-Based Digital Spiking Neuromorphic Processor with Integer Quadratic Integrate-and-Fire Neurons
Towards Low-Resource Alignment to Diverse Perspectives with Sparse Feedback
Lawformer: A Pre-trained Language Model for Chinese Legal Long Documents
Dynamic Pricing based Near-Optimal Resource Allocation for Elastic Edge Offloading
Adaptive Bayesian Very Short-Term Wind Power Forecasting Based on the Generalised Logit Transformation
Extended Formulations for Sparsity Matroids
Tuning support vector machines and boosted trees using optimization algorithms
Combining Knowledge Graph and LLMs for Enhanced Zero-shot Visual Question Answering
VISION Datasets: A Benchmark for Vision-based InduStrial InspectiON
Explaining the Reputational Risks of AI-Mediated Communication: Messages Labeled as AI-Assisted Are Viewed as Less Diagnostic of the Sender's Moral Character
Training Socially Aligned Language Models in Simulated Human Society
From Proof to Program: Characterizing Tool-Induced Reasoning Hallucinations in Large Language Models
AI, how can humans communicate better with you?
On the Detection of Aircraft Single Engine Taxi using Deep Learning Models
An Efficient Algorithm for Generating Minimal Unique-Cause MC/DC Test cases for Singular Boolean Expressions
DyBBT: Dynamic Balance via Bandit inspired Targeting for Dialog Policy with Cognitive Dual-Systems
Smooth min-entropy lower bounds for approximation chains
A Machine Learning Approach for Design of Frequency Selective Surface based Radar Absorbing Material via Image Prediction
System Optimization in Synchronous Federated Training: A Survey
A deep learning method for multi-material diffusion problems based on physics-informed neural networks
Linear-Quadratic Dynamic Games as Receding-Horizon Variational Inequalities
PlanGEN: A Multi-Agent Framework for Generating Planning and Reasoning Trajectories for Complex Problem Solving
OpenUS: A Fully Open-Source Foundation Model for Ultrasound Image Analysis via Self-Adaptive Masked Contrastive Learning
Improved community structure detection using a modified fine tuning strategy
PROUD: PaRetO-gUided Diffusion Model for Multi-objective Generation
Improved low-resource Somali speech recognition by semi-supervised acoustic and language model training
Artificial Intelligence Powered Identification of Potential Antidiabetic Compounds in Ficus religiosa
Decomposition of forging dies for machining planning
Towards Generalized Proactive Defense against Face Swapping with Contour-Hybrid Watermark
Overcoming Dimensional Collapse in Self-supervised Contrastive Learning for Medical Image Segmentation
Conflict Detection for Edits on Extended Feature Models using Symbolic Graph Transformation
ReFace: Improving Clothes-Changing Re-Identification With Face Features
Grounding Hierarchical Reinforcement Learning Models for Knowledge Transfer
Towards a General Theory of Simultaneous Diophantine Approximation of Formal Power Series: Multidimensional Linear Complexity
Learning to Shape Rewards using a Game of Switching Controls
Exploiting Nanoelectronic Properties of Memory Chips for Prevention of IC Counterfeiting
Minimization of Handoff latency by co-ordinate evaluation method using GPS based map
f-Domain-Adversarial Learning: Theory and Algorithms
Variance Suppression: Balanced Training Process in Deep Learning
The quantum Wasserstein distance of order 1
Assimilative Causal Inference
A framework for cost-constrained genome rearrangement under Double Cut and Join
Best arm identification via Bayesian gap-based exploration
An Instance Selection Algorithm for Big Data in High imbalanced datasets based on LSH
Deep Reinforcement Learning with Smooth Policy
Metabolic Flux Analysis in Isotope Labeling Experiments using the Adjoint Approach
FAST: Frequency-Aware Spatio-Textual Indexing for In-Memory Continuous Filter Query Processing
QUIDAM: A Framework for Quantization-Aware DNN Accelerator and Model Co-Exploration
Recovery of Architecture Module Views using an Optimized Algorithm Based on Design Structure Matrices
Institutional Metaphors for Designing Large-Scale Distributed AI versus AI Techniques for Running Institutions
A Nonlinear Adaptive Filter Based on the Model of Simple Multilinear Functionals
Message passing for probabilistic models on networks with loops
Follow the STARs: Dynamic ω-Regular Shielding of Learned Policies
Driving Datasets Literature Review
Accelerating Distributed Optimization: A Primal-Dual Perspective on Local Steps
A Colorful and Robust Measure for FDFAs
CEMG: Collaborative-Enhanced Multimodal Generative Recommendation
Separating the Human Touch from AI-Generated Text using Higher Criticism: An Information-Theoretic Approach
Relative Information Loss - An Introduction
Data-Driven Planning of Plug-in Hybrid Electric Taxi Charging Stations in Urban Environments: A Case in the Central Area of Beijing
Cyber Physical Aquaponic System (CyPhA): a CPS Testbed
Accelerating Diffusion Models with One-to-Many Knowledge Distillation
Towards Stable Co-saliency Detection and Object Co-segmentation
A Two-Step Time of Arrival Estimation Algorithm for Impulse Radio Ultra Wideband Systems
Fiducial Marker Splatting for High-Fidelity Robotics Simulations
Anomaly Detection using Edge Computing in Video Surveillance System: Review
Crowdsourcing Lexical Diversity
Politics, Inequality, and the Robustness of Shared Infrastructure Systems
Unsupervised Few-shot Learning via Deep Laplacian Eigenmaps
Efficient randomized algorithms for the fixed Tucker-rank problem of Tucker decomposition with adaptive shifts
A Survey on Spatio-Temporal Knowledge Graph Models
Dissipative search of an unstructured database
Extremely Dense Point Correspondences using a Learned Feature Descriptor
Stealtooth: Breaking Bluetooth Security Abusing Silent Automatic Pairing
A principled approach for weighted multilayer network aggregation
A Large-Scale Empirical Study on Industrial Fake Apps
Segment Relevance Estimation for Audio Analysis and Weakly-Labelled Classification
Synthetic Augmentation and Feature-based Filtering for Improved Cervical Histopathology Image Classification
Text Image Generation for Low-Resource Languages with Dual Translation Learning
GLYFE: Review and Benchmark of Personalized Glucose Predictive Models in Type-1 Diabetes
The α-κ-μ Shadowed Fading Distribution: Statistical Characterization and Applications
Weighted sparse recovery with expanders
Domain-stratified Training for Cross-organ and Cross-scanner Adenocarcinoma Segmentation in the COSAS 2024 Challenge
DeepTag: inferring all-cause diagnoses from clinical notes in under-resourced medical domain
Robust Attack Graph Generation
TBSS++: A novel computational method for Tract-Based Spatial Statistics
Fast reconstruction approaches for photoacoustic tomography with smoothing Sobolev/Matérn priors
An RNN-Survival Model to Decide Email Send Times
Load Balancing with Reduced Unnecessary Handoff in Energy Efficient Macro/Femto-cell based BWA Networks
Using Deep Image Prior to Assist Variational Selective Segmentation Deep Learning Algorithms
Representation-Level Counterfactual Calibration for Debiased Zero-Shot Recognition
Statistical complexity of software systems represented as multi-layer networks
Representing Signs as Signs: One-Shot ISLR to Facilitate Functional Sign Language Technologies
Neuro-mimetic Task-free Unsupervised Online Learning with Continual Self-Organizing Maps
Metareview-informed Explainable Cytokine Storm Detection during CAR-T cell Therapy
A Category-Theoretic Perspective on Higher-Order Approximation Fixpoint Theory (Extended Version)
D-Lite: Navigation-Oriented Compression of 3D Scene Graphs under Communication Constraints
CADSpotting: Robust Panoptic Symbol Spotting on Large-Scale CAD Drawings
RetailSynth: Synthetic Data Generation for Retail AI Systems Evaluation
Causal Concept Embedding Models: Beyond Causal Opacity in Deep Learning
Performance Evaluation of Incremental K-means Clustering Algorithm
Strict Self-Assembly of Fractals using Multiple Hands
Numerical modelling of variable density shallow water flows with friction term
Comparison of Unsupervised Metrics for Evaluating Judicial Decision Extraction
GIRAFE: Glottal Imaging Dataset for Advanced Segmentation, Analysis, and Facilitative Playbacks Evaluation
Multi-feature Fusion for Image Retrieval Using Constrained Dominant Sets
Knowledge Graph Extension by Entity Type Recognition
Cognitive Radio Networks: An Information Theoretic Perspective
Improved Lower Bounds for Sum Coloring via Clique Decomposition
A New Super-Resolution Measurement of Perceptual Quality and Fidelity
Transfer Learning through Greedy Subset Selection
OMG-Bench: A New Challenging Benchmark for Skeleton-based Online Micro Hand Gesture Recognition
Estimating Dataset Dimension via Singular Metrics under the Manifold Hypothesis: Application to Inverse Problems
Randomized Communication Without Network Knowledge
Accelerating Machine Learning Algorithms with Adaptive Sampling
Computing Free Convolutions via Contour Integrals
A Numerical Truncation Approximation with A Posteriori Error Bounds for the Solution of Poisson's Equation
Tracing OCaml Programs
Comprehensive Soccer Video Understanding: Towards Human-comparable Video Understanding System in Constrained Environment
Implicit learning to determine variable sound speed and the reconstruction operator in photoacoustic tomography
An application of machine learning to the motion response prediction of floating assets
Explore the Potential Performance of Vision-and-Language Navigation Model: a Snapshot Ensemble Method
Autonomous discovery of battery electrolytes with robotic experimentation and machine-learning
Functional Flexibility in Generative AI Interfaces: Text Editing with LLMs through Conversations, Toolbars, and Prompts
Aggregation by Provenance Types: A Technique for Summarising Provenance Graphs
Beyond Algorithmic Fairness: A Guide to Develop and Deploy Ethical AI-Enabled Decision-Support Tools
Hadamard Powers and the Identification of Mixtures of Products
WolBanking77: Wolof Banking Speech Intent Classification Dataset
Diffusion Models and Representation Learning: A Survey
Unified Task and Motion Planning using Object-centric Abstractions of Motion Constraints
Quantitative CLTs in Deep Neural Networks
Grid-Edge Energy-Flexible Technologies: A Comparative Analysis Across Generators, Loads, and Energy Storage Systems
Stabilizing the Richardson Algorithm by Controlling Chaos
SHADE: Semantic Hypernym Annotator for Domain-specific Entities - DnD Domain Use Case
Model Checking for Reinforcement Learning in Autonomous Driving: One Can Do More Than You Think!
UWB Device-Free Person Detection and Localization
Character-level Chinese Backpack Language Models
A Computer Vision System for Attention Mapping in SLAM based 3D Models
Difficulty-aware Glaucoma Classification with Multi-Rater Consensus Modeling
Temporal Concept Dynamics in Diffusion Models via Prompt-Conditioned Interventions
On some Foundational Aspects of Human-Centered Artificial Intelligence
Material data identification in generalized continua
On Applying Machine Learning/Object Detection Models for Analysing Digitally Captured Physical Prototypes from Engineering Design Projects
Revisiting the Learnability of Apple Tasting
Distributed Coverage Maximization via Sketching
Are you talking to ['xem'] or ['x', 'em']? On Tokenization and Addressing Misgendering in LLMs with Pronoun Tokenization Parity
Smooth Pseudo-Labeling
Evaluating Structured Decoding for Text-to-Table Generation: Evidence from Three Datasets
Error estimates of asymptotic-preserving neural networks in approximating stochastic linearized Boltzmann equation
Enhancing High-Energy Particle Physics Collision Analysis through Graph Data Attribution Techniques
On the conservation properties of the two-level linearized methods for Navier-Stokes equations
Multi-level Optimal Control with Neural Surrogate Models
Salient Object Detection: A Distinctive Feature Integration Model
Managing Data Lineage of O&G Machine Learning Models: The Sweet Spot for Shale Use Case
vLSM: Low tail latency and I/O amplification in LSM-based KV stores
Robust ab initio solution of the cryo-EM reconstruction problem at low resolution with small data sets
Image-based Synthesis for Deep 3D Human Pose Estimation
Linearly-Recurrent Autoencoder Networks for Learning Dynamics
Risk-sensitive performance criteria and robustness of quantum systems with a relative entropy description of state uncertainty
A Strong Inductive Bias: Gzip for binary image classification
Graph-based Online Monitoring of Train Driver States via Facial and Skeletal Features
Over-Relying on Reliance: Towards Realistic Evaluations of AI-Based Clinical Decision Support
Integer Linear Programming Modeling of Addition Sequences With Additional Constraints for Evaluation of Power Terms
Cascade-Net: a New Deep Learning Architecture for OFDM Detection
A random coding theorem for "modulo-two adder" source network
Layered Belief Propagation for Low-complexity Large MIMO Detection Based on Statistical Beams
Integrated user scheduling and beam steering in over-the-air federated learning for mobile IoT
Proceedings Twentieth Conference on Theoretical Aspects of Rationality and Knowledge
DAGformer: Directed Acyclic Graph Transformer
Data-Driven Probabilistic Evaluation of Logic Properties with PAC-Confidence on Mealy Machines
Real-World Recommender Systems for Academia: The Pain and Gain in Building, Operating, and Researching them [Long Version]
Normalization Matters in Zero-Shot Learning
Towards Explainable Quantum AI: Informing the Encoder Selection of Quantum Neural Networks via Visualization
Higher order quantum reservoir computing for non-intrusive reduced-order models
Do we have the time for IRM?: Service denial attacks and SDN-based defences
Noncatastrophic convolutional codes over a finite ring
Maximizing NFT Incentives: References Make You Rich
Explaining RADAR features for detecting spoofing attacks in Connected Autonomous Vehicles
AI-Driven Statutory Reasoning via Software Engineering Methods
Combating Label Noise in Deep Learning Using Abstention
Multidimensional Padé approximation of binomial functions: Equalities
Investigating the Adaptive Robustness with Knowledge Conflicts in LLM-based Multi-Agent Systems
Soft-constrained Schrodinger Bridge: a Stochastic Control Approach
Affordance-Centric Policy Learning: Sample Efficient and Generalisable Robot Policy Learning using Affordance-Centric Task Frames
MOCICE-BCubed F$_1$: A New Evaluation Measure for Biclustering Algorithms
A Hybrid Approach For Hindi-English Machine Translation
Geometry-informed Channel Statistics Prediction Based upon Uncalibrated Digital Twins
Neural Tensor Factorization
MAIZX: A Carbon-Aware Framework for Optimizing Cloud Computing Emissions
Enabling Distributed Optimization in Large-Scale Power Systems
Bridging the Gap: Enhancing Digital Accessibility for Medicaid Populations in Telehealth Adoption
Optimal Regularization for Performative Learning
Output Feedback Design for Parameter Varying Systems subject to Persistent Disturbances and Control Rate Constraints
Neural Networks for on-chip Model Predictive Control: a Method to Build Optimized Training Datasets and its application to Type-1 Diabetes
Sample Complexity Bounds for Linear Constrained MDPs with a Generative Model
Ecological Cycle Optimizer: A novel nature-inspired metaheuristic algorithm for global optimization
Return on citation: a consistent metric to evaluate papers, journals and researchers
An Intelligent Software Workflow Process Design for Location Management on Mobile Devices
Enhancing Industrial X-ray Tomography by Data-Centric Statistical Methods
Volumetric Spanners and their Applications to Machine Learning
Isometry Groups of Combinatorial Codes
Connectivity Analysis of Directed Highway VANETs using Graph Theory
Logic Locking based Trojans: A Friend Turns Foe
Not Every Image is Worth a Thousand Words: Quantifying Originality in Stable Diffusion
ReLEP: A Novel Framework for Real-world Long-horizon Embodied Planning
Influence of sociodemographic characteristics on human mobility
Regular Functions, Cost Register Automata, and Generalized Min-Cost Problems
Sensing and Link Model for Wireless Sensor Network: Coverage and Connectivity Analysis
Control Strategies for Autonomous Vehicles
The directed metric dimension of directed co-graphs
The g-Good-Neighbor Conditional Diagnosability of Locally Twisted Cubes
Redefining measures of Layered Architecture
Aligning Large Language Models to Low-Resource Languages through LLM-Based Selective Translation: A Systematic Study
Learning policies for Social network discovery with Reinforcement learning
An Experimental Comparison of Map-like Visualisations and Treemaps
A Dichotomy for Finite Abstract Simplicial Complexes
Network-Aware Flexibility Requests for Distribution-Level Flexibility Markets
ORD: Object Relationship Discovery for Visual Dialogue Generation
Modification method for single-stage object detectors that allows to exploit the temporal behaviour of a scene to improve detection accuracy
Towards Optimizing and Evaluating a Retrieval Augmented QA Chatbot using LLMs with Human in the Loop
Joint Relay Selection and Analog Network Coding using Differential Modulation in Two-Way Relay Channels
Transformers Meet Relational Databases
RobustFusion: Robust Volumetric Performance Reconstruction under Human-object Interactions from Monocular RGBD Stream
This is not the End: Rethinking Serverless Function Termination
Performing Informetric Analysis on Information Retrieval Test Collections: Preliminary Experiments in the Physics Domain
How Much Urban Traffic is Searching for Parking?
Split-Layer: Enhancing Implicit Neural Representation by Maximizing the Dimensionality of Feature Space
Protecting Human Activity Signatures in Compressed IEEE 802.11 CSI Feedback
AI in Osteoporosis
Critical Thinking: Which Kinds of Complexity Govern Optimal Reasoning Length?
Toward Neuromic Computing: Neurons as Autoencoders
Benefits and Risks of Using ChatGPT4 as a Teaching Assistant for Computer Science Students
Cascaded Regressor based 3D Face Reconstruction from a Single Arbitrary View Image
TranSOP: Transformer-based Multimodal Classification for Stroke Treatment Outcome Prediction
Reduced basis solvers for unfitted methods on parameterized domains
A Small-Step Operational Semantics for GP 2
Transformers Can Learn Connectivity in Some Graphs but Not Others
Generalization Error Bounds via $m$th Central Moments of the Information Density
Context-Aware Learning to Rank with Self-Attention
High-Impact Innovations and Hidden Gender Disparities in Inventor-Evaluator Networks
How does promoting the minority fraction affect generalization? A theoretical study of the one-hidden-layer neural network on group imbalance
Risk Estimation of Knee Osteoarthritis Progression via Predictive Multi-task Modelling from Efficient Diffusion Model using X-ray Images
NLP4RE Tools: Classification, Overview, and Management
Enhancing Machine Learning Performance through Intelligent Data Quality Assessment: An Unsupervised Data-centric Framework
ClusMFL: A Cluster-Enhanced Framework for Modality-Incomplete Multimodal Federated Learning in Brain Imaging Analysis
Semi-supervised Compatibility Learning Across Categories for Clothing Matching
Consistency vs. Availability in Distributed Real-Time Systems
Low growth equational complexity
DiffuMeta: Algebraic Language Models for Inverse Design of Metamaterials via Diffusion Transformers
OPEN: A Benchmark Dataset and Baseline for Older Adult Patient Engagement Recognition in Virtual Rehabilitation Learning Environments
Memos: Revisiting Hybrid Memory Management in Modern Operating System
Toward Efficient Exploration by Large Language Model Agents
An effective theory of collective deep learning
On Resource Allocation in Fading Multiple Access Channels - An Efficient Approximate Projection Approach
Two-Level Temporal Relation Model for Online Video Instance Segmentation
Adapt, But Don't Forget: Fine-Tuning and Contrastive Routing for Lane Detection under Distribution Shift
A Message-Passing Algorithm for Counting Short Cycles in a Graph
Compilation-based Solvers for Multi-Agent Path Finding: a Survey, Discussion, and Future Opportunities
Evaluating Power System Vulnerability to False Data Injection Attacks via Scalable Optimization