yusuke1997/dblp-id-title huggingface dataset:
A polynomial composites and monoid domains as algebraic structures and their applications
Federated Learning over Noisy Channels: Convergence Analysis and Design Examples
ECHO: An Adaptive Orchestration Platform for Hybrid Dataflows across Cloud and Edge
Effective Estimation of Contact Force and Torque for Vision-based Tactile Sensor with Helmholtz-Hodge Decomposition
Conceptwm: A Diffusion Model Watermark for Concept Protection
Prioritized SIPP for Multi-Agent Path Finding With Kinematic Constraints
Semantic-Driven e-Government: Application of Uschold and King Ontology Building Methodology for Semantic Ontology Models Development
Non-terrestrial Communications Assisted by Reconfigurable Intelligent Surfaces
Probabilistic Filtered Soft Labels for Domain Adaptation
Hierarchical Decomposition Mechanism by König-Egérvary Layer-Subgraph with Application on Vertex-Cover
Long Range Frustrations in a Spin Glass Model of the Vertex Cover Problem
A four-person chess-like game without Nash equilibria in pure stationary strategies
Public scientists contributing to local literary fiction. An exploratory analysis
Preventive Energy Management for Distribution Systems Under Uncertain Events: A Deep Reinforcement Learning Approach
Perturbed Sinc Bases with Application to Time Jittering in Digital Audio Processes
Out-of-core singular value decomposition
A Simple Approach for State-Action Abstraction using a Learned MDP Homomorphism
Termination of λΠ modulo rewriting using the size-change principle (work in progress)
Task-Specific Dependency-based Word Embedding Methods
A Stochastic Geometry Approach to Energy Efficiency in Relay-Assisted Cellular Networks
Boosting Deep Hyperspectral Image Classification with Spectral Unmixing
Aggregate Flexibility of Thermostatically Controlled Loads using Generalized Polymatroids
RAC: Efficient LLM Factuality Correction with Retrieval Augmentation
Dimensionally Tight Running Time Bounds for Second-Order Hamiltonian Monte Carlo
Optimal preconditioning techniques for finite volume approximation of three-dimensional conservative space-fractional diffusion equations
Deep Autoregressive Regression
Named entity recognition architecture combining contextual and global features
SABER: Model-agnostic Backdoor Attack on Chain-of-Thought in Neural Code Generation
Automatic Selection of Protections to Mitigate Risks Against Software Applications
Limits of non-local approximations to the Eikonal equation on manifolds
Opportunities and limitations of explaining quantum machine learning
NullaNet: Training Deep Neural Networks for Reduced-Memory-Access Inference
Hardware Trojans in Power Conversion Circuits
PerfGen: Automated Performance Benchmark Generation for Big Data Analytics
TFBEST: Dual-Aspect Transformer with Learnable Positional Encoding for Failure Prediction
Multi-Modal Motion Retrieval by Learning a Fine-Grained Joint Embedding Space
An Improved LR-aided K-Best Algorithm for MIMO Detection
Data science on industrial data - Today's challenges in brown field applications
Vectorized Online POMDP Planning
Lost in Retraining: Roaming the Parameter Space of Exponential Families Under Closed-Loop Learning
From Quantum Mechanics to Quantum Software Engineering
Securely Outsourcing Large Scale Eigen Value Problem to Public Cloud
Convergence rate for a semidiscrete approximation of scalar conservation laws
Consistency Conditions for Differentiable Surrogate Losses
On the robustness and performance of entropy stable discontinuous collocation methods for the compressible Navie-Stokes equations
A labeled dataset of cloud types using data from GOES-16 and CloudSat
Revisiting Locally Differentially Private Protocols: Towards Better Trade-offs in Privacy, Utility, and Attack Resistance
FeTrIL++: Feature Translation for Exemplar-Free Class-Incremental Learning with Hill-Climbing
Highly Accelerated MRI via Implicit Neural Representation Guided Posterior Sampling of Diffusion Models
Semantic scene descriptions as an objective of human vision
Griesmer and Optimal Linear Codes from the Affine Solomon-Stiffler Construction
Tight Approximation Ratio of a General Greedy Splitting Algorithm for the Minimum k-Way Cut Problem
Large Language Models for Toxic Language Detection in Low-Resource Balkan Languages
Fast redshift clustering with the Baire (ultra) metric
GLA-Grad: A Griffin-Lim Extended Waveform Generation Diffusion Model
A General Framework For Lazy Functional Logic Programming With Algebraic Polymorphic Types
UFO: A Unified Approach to Fine-grained Visual Perception via Open-ended Language Interface
Stain-free Detection of Embryo Polarization using Deep Learning
Binary Optimal Control Of Single-Flux-Quantum Pulse Sequences
Developing an ANFIS PSO Model to Estimate Mercury Emission in Combustion Flue Gases
Space-time parallel scaling of Parareal with a Fourier Neural Operator as coarse propagator
An Equivalence between Network Coding and Index Coding
Improved graph-based SFA: Information preservation complements the slowness principle
Quantitative System-Level Security Verification of the IoV Infrastructure
Static Hardware Partitioning on RISC-V - Shortcomings, Limitations, and Prospects
No O(N) queries for checking if N
Sparse Hypergraphs and Pebble Game Algorithms
Persistence Lenses: Segmentation, Simplification, Vectorization, Scale Space and Fractal Analysis of Images
Investigating the Relationship Between Dropout Regularization and Model Complexity in Neural Networks
StereoDiff: Stereo-Diffusion Synergy for Video Depth Estimation
Riccati-feedback Control of a Two-dimensional Two-phase Stefan Problem
Language-guided Medical Image Segmentation with Target-informed Multi-level Contrastive Alignments
LLMs and Childhood Safety: Identifying Risks and Proposing a Protection Framework for Safe Child-LLM Interaction
Robust neuromorphic coupled oscillators for adaptive pacemakers
SimuRA: Towards General Goal-Oriented Agent via Simulative Reasoning Architecture with LLM-Based World Model
3D Wasserstein generative adversarial network with dense U-Net based discriminator for preclinical fMRI denoising
Context-driven Software Project Estimation
Eliminating Network Protocol Vulnerabilities Through Abstraction and Systems Language Design
FurniScene: A Large-scale 3D Room Dataset with Intricate Furnishing Scenes
Spatio-Temporal Super-Resolution of Dynamical Systems using Physics-Informed Deep-Learning
Orthogonal-by-construction augmentation of physics-based input-output models
NusaMT-7B: Machine Translation for Low-Resource Indonesian Languages with Large Language Models
First version of a categorization of arguments for counting methods for publication and citation indicators
A self-rendering digital image encoding
A Survey on Cooperative Diversity and Its Applications in Various Wireless Networks
A Novel Framework for Integrating 3D Ultrasound into Percutaneous Liver Tumour Ablation
Robust Semi-Supervised Learning when Labels are Missing at Random
Towards Macro-AUC oriented Imbalanced Multi-Label Continual Learning
Image-to-Brain Signal Generation for Visual Prosthesis with CLIP Guided Multimodal Diffusion Models
Efficiency at Scale: Investigating the Performance of Diminutive Language Models in Clinical Tasks
Improved Communication Complexity of Fault-Tolerant Consensus
Optimizing Energy Consumption in Stochastic Production Systems: Using a Simulation-Based Approach for Stopping Policy
Query Game 2.0: Improvement of a Web-Based Query Game for Cavite State University Main Campus
Experimental quantum homodyne tomography via machine learning
Slug Mobile: Test-Bench for RL Testing
A Transition-Aware Method for the Simulation of Compliant Contact with Regularized Friction
GNN-XAR: A Graph Neural Network for Explainable Activity Recognition in Smart Homes
VS-Graph: Scalable and Efficient Graph Classification Using Hyperdimensional Computing
On finite extensions of lamplighter groups
Software Engineering Education by Example
ODINI : Escaping Sensitive Data from Faraday-Caged, Air-Gapped Computers via Magnetic Fields
Context Engineering for Multi-Agent LLM Code Assistants Using Elicit, NotebookLM, ChatGPT, and Claude Code
Filtered-Guided Diffusion: Fast Filter Guidance for Black-Box Diffusion Models
Fractal Images as Number Sequences I
DeMuon: A Decentralized Muon for Matrix Optimization over Graphs
A Learning-Based Attack Framework to Break SOTA Poisoning Defenses in Federated Learning
Evaluation of Biases in Self-reported Demographic and Psychometric Information: Traditional versus Facebook-based Surveys
Modeling travel demand over a period of one week: The mobiTopp model
Bayesian Networks Aplied to Therapy Monitoring
Reconfigurable FPGA-Based Solvers For Sparse Satellite Control
Sparse Recovery from Nonlinear Measurements with Applications in Bad Data Detection for Power Networks
KV Cache Steering for Inducing Reasoning in Small Language Models
Combining Learning-based Locomotion Policy with Model-based Manipulation for Legged Mobile Manipulators
Together We Know How to Achieve: An Epistemic Logic of Know-How (Extended Abstract)
Reliability and Resilience of AI-Driven Critical Network Infrastructure under Cyber-Physical Threats
Millimeter Wave MIMO with Lens Antenna Array: A New Path Division Multiplexing Paradigm
Learning User Preferences for Image Generation Model
Practical Model-driven Data Generation for System Testing
Popularity is linked to neural coordination: Neural evidence for an Anna Karenina principle in social networks
Advancing Diagnostic Precision: Leveraging Machine Learning Techniques for Accurate Detection of Covid-19, Pneumonia, and Tuberculosis in Chest X-Ray Images
Extended object reconstruction in adaptive-optics imaging: the multiresolution approach
Optimal Output Consensus of High-Order Multi-Agent Systems with Embedded Technique
Multiparty Motion Coordination: From Choreographies to Robotics Programs
Are vision language models robust to uncertain inputs?
Cross-Prompt Encoder for Low-Performing Languages
Counter Turing Test CT^2: AI-Generated Text Detection is Not as Easy as You May Think - Introducing AI Detectability Index
Cooperative Transportation of UAVs Without Inter-UAV Communication
DreamForge: Motion-Aware Autoregressive Video Generation for Multi-View Driving Scenes
Assessing the Quality of Wikipedia Pages Using Edit Longevity and Contributor Centrality
SmartWilds: Multimodal Wildlife Monitoring Dataset
On the Leaders' Graphical Characterization for Controllability of Path Related Graphs
NekRS, a GPU-Accelerated Spectral Element Navier-Stokes Solver
Recognition of Frequencies of Short-Time SSVEP Signals Utilizing an SSCCA-Based Spatio-Spectral Feature Fusion Framework
Exploration noise for learning linear-quadratic mean field games
Enhancing Explainability of Hyperparameter Optimization via Bayesian Algorithm Execution
ATC Taskload Inherent to the Geometry of Stochastic 4-D Trajectory Flows with Flight Technical Errors
Neural Operators Learn the Local Physics of Magnetohydrodynamics
DD-αAMG on QPACE 3
Community Detection for Power Systems Network Aggregation Considering Renewable Variability
Navigation Objects Extraction for Better Content Structure Understanding
An Appraisal Transition System for Event-driven Emotions in Agent-based Player Experience Testing
Monads, partial evaluations, and rewriting
Operation of a Brain-Computer Interface Walking Simulator by Users with Spinal Cord Injury
R 2 -Mesh: Reinforcement Learning Powered Mesh Reconstruction via Geometry and Appearance Refinement
A State Feedback Controller for Mitigation of Continuous-Time Networked SIS Epidemics
Accurate brain extraction using Active Shape Model and Convolutional Neural Networks
EconProver: Towards More Economical Test-Time Scaling for Automated Theorem Proving
Multi-period facility location and capacity planning under $\infty$-Wasserstein joint chance constraints in humanitarian logistics
Block Circulant Codes with Application to Decentralized Systems
Investigating semantic subspaces of Transformer sentence embeddings through linear structural probing
Tabled Typeclass Resolution
Fast Bayesian Non-Negative Matrix Factorisation and Tri-Factorisation
Improvement Cache Efficiency of Explicit Finite Element Procedure and its Application to Parallel Casting Solidification Simulation
Combining Clustering techniques and Formal Concept Analysis to characterize Interestingness Measures
Set-Based Prompting: Provably Solving the Language Model Order Dependency Problem
MMAFFBen: A Multilingual and Multimodal Affective Analysis Benchmark for Evaluating LLMs and VLMs
An analysis of citing and referencing habits across all scholarly disciplines: approaches and trends in bibliographic metadata errors
Progressive Alignment Degradation Learning for Pansharpening
Automating change of representation for proofs in discrete mathematics
Approximating Maximum Cut on Interval Graphs and Split Graphs beyond Goemans-Williamson
Generating High-Quality Surface Realizations Using Data Augmentation and Factored Sequence Models
Random Fragments Classification of Microbial Marker Clades with Multi-class SVM and N-Best Algorithm
A Comparison of DeepSeek and Other LLMs
Bounds and Constructions for Linear Locally Repairable Codes over Binary Fields
Comparing the writing style of real and artificial papers
An LLVM-based C++ Compiler Toolchain for Variational Hybrid Quantum-Classical Algorithms and Quantum Accelerators
Formalization of dependent type theory: The example of CaTT
Existing Industry Practice for the EU AI Act's General-Purpose AI Code of Practice Safety and Security Measures
A Study of Solving Life-and-Death Problems in Go Using Relevance-Zone Based Solvers
Carleman estimates and the contraction principle for an inverse source problem for nonlinear hyperbolic equation
Approximation of Continuous-Time Infinite-Horizon Optimal Control Problems Arising in Model Predictive Control - Supplementary Notes
A micropolar shell formulation for hard-magnetic soft materials
Vaccine allocation policy optimization and budget sharing mechanism using Thompson sampling
A Learning Based Approach for Uncertainty Analysis in Numerical Weather Prediction Models
Physics-informed Neural Networks with Periodic Activation Functions for Solute Transport in Heterogeneous Porous Media
Nearly sharp structured sketching for constrained optimization
Formal Concept Analysis Based Association Rules Extraction
Empirical Networks are Sparse: Enhancing Multi-Edge Models with Zero-Inflation
Bubble Storytelling with Automated Animation: A Brexit Hashtag Activism Case Study
Richer Syntactic Dependencies for Structured Language Modeling
An overview of process model quality literature - The Comprehensive Process Model Quality Framework
Multi-Objective Alignment of Large Language Models Through Hypervolume Maximization
Robust and Scalable Hyperdimensional Computing With Brain-Like Neural Adaptations
ImagineBench: Evaluating Reinforcement Learning with Large Language Model Rollouts
Web Services for Asynchronous, Distributed Optimization Using Conservative Signal Processing
Preparing Bengali-English Code-Mixed Corpus for Sentiment Analysis of Indian Languages
Adversarial Camera Patch: An Effective and Robust Physical-World Attack on Object Detectors
Silence is Not Consensus: Disrupting Agreement Bias in Multi-Agent LLMs via Catfish Agent for Clinical Decision Making
HRTF-based Robust Least-Squares Frequency-Invariant Polynomial Beamforming
Analysis of Fairness-promoting Optimization Schemes of Photovoltaic Curtailments for Voltage Regulation in Power Distribution Networks
What can we learn from Data Leakage and Unlearning for Law?
Skin Lesion Classification Based on ResNet-50 Enhanced With Adaptive Spatial Feature Fusion
A Strongly Normalizing Computation Rule for Univalence in Higher-Order Minimal Logic
DC-AE 1.5: Accelerating Diffusion Model Convergence with Structured Latent Space
How much has information technology contributed to linguistics?
Self-Supervised Endoscopic Image Key-Points Matching
A Foundation Model for Material Fracture Prediction
Smart meter data processing: a showcase for simple and efficient textual processing
P 1 -nonconforming polyhedral finite elements in high dimensions
An Efficient End-to-End 3D Model Reconstructionbased on Neural Architecture Search
Encryption of Audio Signals Using the Elzaki Transformation and the Lorenz Chaotic System Lorenz Chaotic System
Take Me Home: Reversing Distribution Shifts using Reinforcement Learning
A Space-Time Continuous Galerkin Finite Element Method for Linear Schrödinger Equations
Recent Advances in Medical Imaging Segmentation: A Survey
Memory Complexity of Entropy Estimation
Sparse Optical Flow-Based Line Feature Tracking
Ensuring Cross-Device Portability of Electromagnetic Side-Channel Analysis
Multi-Agent Reinforcement Learning with Focal Diversity Optimization
On Session Typing, Probabilistic Polynomial Time, and Cryptographic Experiments (Long Version)
How Random are Online Social Interactions?
Addressing Trust Challenges in Blockchain Oracles Using Asymmetric Byzantine Quorums
Bita: A Conversational Assistant for Fairness Testing
Sense-Then-Train: A Novel Beam Training Design for Near-Field MIMO Systems
Optimization of the Waiting Time for H-R Coordination
Quality assurance of e-learning processes
A clock-less ultra-low power bit-serial LVDS link for Address-Event multi-chip systems
Unnamed Entity Recognition of Sense Mentions
Simultaneous Distributed Sensor Self-Localization and Target Tracking Using Belief Propagation and Likelihood Consensus
Interpretable Question Answering with Knowledge Graphs
Architecture of Data Anomaly Detection-Enhanced Decentralized Expert System for Early-Stage Alzheimer's Disease Prediction
CoMID: Context-based Multi-Invariant Detection for Monitoring Cyber-Physical Software
The Pitfalls of Publishing in the Age of LLMs: Strange and Surprising Adventures with a High-Impact NLP Journal
Fifty years of Hoare's Logic
Leveraging Photogrammetric Mesh Models for Aerial-Ground Feature Point Matching Toward Integrated 3D Reconstruction
The Modal Cube Revisited: Semantics without Worlds
Asynchronous Push-sum Dual Gradient Algorithm in Distributed Model Predictive Control
Online structural health monitoring by model order reduction and deep learning algorithms
Protecting Activity Sensing Data Privacy Using Hierarchical Information Dissociation
Approximation algorithms for energy, reliability and makespan optimization problems
Using Correlated Subset Structure for Compressive Sensing Recovery
MarineFormer: A Transformer-based Navigation Policy Model for Collision Avoidance in Marine Environment
Hierarchical Bayesian Approach for Improving Weights for Solving Multi-Objective Route Optimization Problem
FIBER: A Multilingual Evaluation Resource for Factual Inference Bias
Quality of Approximate Balanced Truncation
Modelling dynamic programming problems by generalized d-graphs
Collaborative creativity with Monte-Carlo Tree Search and Convolutional Neural Networks
XLDA: Linear Discriminant Analysis for Scaling Continual Learning to Extreme Classification at the Edge
Classifying medical notes into standard disease codes using Machine Learning
DPointNet: A Density-Oriented PointNet for 3D Object Detection in Point Clouds
Segmenting DNA sequence into 'words' based on statistical language model
AutoMC: Automated Model Compression based on Domain Knowledge and Progressive search strategy
Persuasiveness and Bias in LLM: Investigating the Impact of Persuasiveness and Reinforcement of Bias in Language Models
Long time H 1 -stability of fast L2-1 σ method on general nonuniform meshes for subdiffusion equations
Context-driven self-supervised visual learning: Harnessing the environment as a data source
White-box Inference Attacks against Centralized Machine Learning and Federated Learning
Analysis of Speaker Verification Performance Trade-offs with Neural Audio Codec Transmission
LIFT+: Lightweight Fine-Tuning for Long-Tail Learning
A Framework for Checkpointing and Recovery of Hierarchical Cyber-Physical Systems
A 2030 United States Macro Grid Unlocking Geographical Diversity to Accomplish Clean Energy Goals
Avoid One's Doom: Finding Cliff-Edge Configurations in Petri Nets
Impala: Low-Latency, Communication-Efficient Private Deep Learning Inference
Quantum linear system solver based on time-optimal adiabatic quantum computing and quantum approximate optimization algorithm
Holistic and Comprehensive Annotation of Clinically Significant Findings on Diverse CT Images: Learning from Radiology Reports and Label Ontology
Performance Analysis of Ultra Wideband Receivers for High Data Rate Wireless Personal Area Network System
The external rhythm of an actor in science: New indicators for the science of science
Deep Reinforcement Learning for Multi-Agent Coordination
Experimental Comparison of Global Motion Planning Algorithms for Wheeled Mobile Robots
SAAP: Spatial awareness and Association based Prefetching of Virtual Objects in Augmented Reality at the Edge
LUK: Empowering Log Understanding with Expert Knowledge from Large Language Models
Uncertainty quantification for industrial design using dictionaries of reduced order models
Acceleration of Gradient-based Path Integral Method for Efficient Optimal and Inverse Optimal Control
PhaseGen: A Diffusion-Based Approach for Complex-Valued MRI Data Generation
Logistic Regression makes small LLMs strong and explainable "tens-of-shot" classifiers
ViSA: 3D-Aware Video Shading for Real-Time Upper-Body Avatar Creation
Multi-Fold Gabor, PCA and ICA Filter Convolution Descriptor for Face Recognition
Comprehensive systematic review into combinations of artificial intelligence, human factors, and automation
Preferential attachment in the growth of social networks: the case of Wikipedia
Hypotheses Founded Semantics of Logic Programs for Information Integration in Multi-Valued Logics
Sparse-dLLM: Accelerating Diffusion LLMs with Dynamic Cache Eviction
The Evolution of Dataset Distillation: Toward Scalable and Generalizable Solutions
Effect of data reduction on sequence-to-sequence neural TTS
Tapered Off-Policy REINFORCE: Stable and efficient reinforcement learning for LLMs
Enhanced Electronic Health Records Text Summarization Using Large Language Models
CFMD: Dynamic Cross-layer Feature Fusion for Salient Object Detection
Performance Prediction for Multi-hop Questions
Probabilistic Analysis of Loss in Interface Adapter Chaining
Confounder Analysis in Measuring Representation in Product Funnels
AlphaFold Database Debiasing for Robust Inverse Folding
Robust $k$-Center with Two Types of Radii
Analyze Unstructured Data Patterns for Conceptual Representation
Novel Mobility Model to Support the Routing of Mobile Energy Resources
An Open-Source, Industrial-Strength Optimizing Compiler for Quantum Programs
Efficient collective swimming by harnessing vortices through deep reinforcement learning
Interpretable by Design: Query-Specific Neural Modules for Explainable Reinforcement Learning
Training-Free Style Consistent Image Synthesis with Condition and Mask Guidance in E-Commerce
A Kalman Decomposition for Possibly Controllable Uncertain Linear Systems
Investigating and Addressing Hallucinations of LLMs in Tasks Involving Negation
A Self-Stabilizing General De Bruijn Graph
Energy-efficient stochastic computing with superparamagnetic tunnel junctions
A Virtual Reality-based Training and Assessment System for Bridge Inspectors with an Assistant Drone
Enhancement and Recognition of Reverberant and Noisy Speech by Extending Its Coherence
Nested Model Averaging on Solution Path for High-dimensional Linear Regression
Complex Networks for Pattern-Based Data Classification
Reachability in temporal graphs under perturbation
Propose and Rectify: A Forensics-Driven MLLM Framework for Image Manipulation Localization
PDANet: Pyramid Density-aware Attention Net for Accurate Crowd Counting
Distinguishability and copiability of programs in general process theories
A parameterized linear formulation of the integer hull
Quantifying the presence of graffiti in urban environments
Capturing points with a rotating polygon (and a 3D extension)
EDFace-Celeb-1M: Benchmarking Face Hallucination with a Million-scale Dataset
Semantic Bounds and Strong Call-by-Value Normalization
Random Walks on Stochastic Temporal Networks