yusuke1997/dblp-id-title huggingface dataset:
The Scott-Vogelius Method for Stokes Problem on Anisotropic Meshes
Deep Correlation-Aware Kernelized Autoencoders for Anomaly Detection in Cybersecurity
Limited Data Emotional Voice Conversion Leveraging Text-to-Speech: Two-stage Sequence-to-Sequence Training
Long Short-term Memory with Two-Compartment Spiking Neuron
A Common Evaluation Setting for Just.Ask, Open Ephyra and Aranea QA systems
Latent Neural Operator Pretraining for Solving Time-Dependent PDEs
Assisted Refinement Network Based on Channel Information Interaction for Camouflaged and Salient Object Detection
Prediction of Cyberbullying Incidents on the Instagram Social Network
Model Context Protocol-based Internet of Experts For Wireless Environment-aware LLM Agents
Identity testing of reversible Markov chains
Pairing interacting protein sequences using masked language modeling
A Dataset of Inertial Measurement Units for Handwritten English Alphabets
Addressing Label Shift in Distributed Learning via Entropy Regularization
Properties of codes in rank metric
Semantic Parsing of Mathematics by Context-based Learning from Aligned Corpora and Theorem Proving
Machine learning applied in the multi-scale 3D stress modelling
Quantized Dissipative Uncertain Model for Fractional T_S Fuzzy systems with Time_Varying Delays Under Networked Control System
Rediscovering Deep Neural Networks in Finite-State Distributions
Optimal Rates of Kernel Ridge Regression under Source Condition in Large Dimensions
Minimal modal logics, constructive modal logics and their relations
Bagging, optimized dynamic mode decomposition (BOP-DMD) for robust, stable forecasting with spatial and temporal uncertainty-quantification
Polyhedral Omega: A New Algorithm for Solving Linear Diophantine Systems
Compressed Modular Matrix Multiplication
Security of the Cao-Li Public Key Cryptosystem
SapientML: Synthesizing Machine Learning Pipelines by Learning from Human-Written Solutions
Model-Free Predictive Control: Introductory Algebraic Calculations, and a Comparison with HEOL and ANNs
Reconciling the accuracy-diversity trade-off in recommendations
A Knowledge base model for complex forging die machining
Statistical Data Privacy: A Song of Privacy and Utility
Quasi-structured quadrilateral meshing in Gmsh - a robust pipeline for complex CAD models
Semi-Quantum Conference Key Agreement with GHZ-type states
NLP-Guided Synthesis: Transitioning from Sequential Programs to Distributed Programs
The Game of Phishing
Programming from Metaphorisms
Stochastic Damped L-BFGS with Controlled Norm of the Hessian Approximation
Look Before Leap: Look-Ahead Planning with Uncertainty in Reinforcement Learning
Learning smooth functions in high dimensions: from sparse polynomials to deep neural networks
A Quantitative Review on Language Model Efficiency Research
Proof-Carrying Numbers (PCN): A Protocol for Trustworthy Numeric Answers from LLMs via Claim Verification
SBML for optimizing decision support's tools
Nature-Inspired Computational Model of Population Desegregation under Group Leaders Influence
Essentiality of the Non-stoquastic Hamiltonians and Driver Graph Design in Quantum Optimization Annealing
Personalized Medical Treatments Using Novel Reinforcement Learning Algorithms
A matrix-free approach to parallel and memory-efficient deformable image registration
Accept-Reject Lasso
Tropical Geometry and Mechanism Design
The Effect of Empathic Expression Levels in Virtual Human Interaction: A Controlled Experiment
Desain dan Implementasi Sistem Digital Assistant Berbasis Google Glass pada Rumah Sakit
Towards Automating Data Access Permissions in AI Agents
Can neural networks do arithmetic? A survey on the elementary numerical skills of state-of-the-art deep learning models
Fuzzy Clustering by Hyperbolic Smoothing
FastVGGT: Training-Free Acceleration of Visual Geometry Transformer
Transfer Learning for Structured Pruning under Limited Task Data
Universal Empathy and Ethical Bias for Artificial General Intelligence
Towards Self-Supervision for Video Identification of Individual Holstein-Friesian Cattle: The Cows2021 Dataset
Ontology of Blockchain Technologies. Principles of Identification and Classification
AdaSPEC: Selective Knowledge Distillation for Efficient Speculative Decoders
Cross-layer Modeling and Design of Content Addressable Memories in Advanced Technology Nodes for Similarity Search
Assessing the Geolocation Capabilities, Limitations and Societal Risks of Generative Vision-Language Models
Privacy Preservation Intrusion Detection Technique for SCADA Systems
Generating time-consistent dynamics with discriminator-guided image diffusion models
Interpretation Meets Safety: A Survey on Interpretation Methods and Tools for Improving LLM Safety
Progressive Adaptive Chance-Constrained Safeguards for Reinforcement Learning
Continual Learning for Automated Audio Captioning Using The Learning Without Forgetting Approach
RadFusion: Benchmarking Performance and Fairness for Multimodal Pulmonary Embolism Detection from CT and EHR
An Overview of Josephson Junctions Based QPUs
Irida: A real-time Wireless Sensor Network visualization feedback protocol
Enhanced Optic Disk and Cup Segmentation with Glaucoma Screening from Fundus Images using Position encoded CNNs
Linear Recognition of Almost (Unit) Interval Graphs
Using eye tracking to investigate what native Chinese speakers notice about linguistic landscape images
A Dual-Arm Robot that Manipulates Heavy Plates Cooperatively with a Vacuum Lifter
Event extraction based on open information extraction and ontology
Decoding machine learning benchmarks
Optimal Stopping via Randomized Neural Networks
On universal covers for carpenter's rule folding
Task-parallelism in SWIFT for heterogeneous compute architectures
Reducibility of Gene Patterns in Ciliates using the Breakpoint Graph
Slugbot: An Application of a Novel and Scalable Open Domain Socialbot Framework
Learning The Minimum Action Distance
Sensor Search Techniques for Sensing as a Service Architecture for The Internet of Things
Neural Posterior Estimation for Cataloging Astronomical Images with Spatially Varying Backgrounds and Point Spread Functions
Supervised Machine Learning based Ensemble Model for Accurate Prediction of Type 2 Diabetes
Portable, Massively Parallel Implementation of a Material Point Method for Compressible Flows
Independent Set Size Approximation in Graph Streams
TRAC: Trustworthy Retrieval Augmented Chatbot
Higher-order asymptotic expansions and finite difference schemes for the fractional $p$-Laplacian
Federated Learning for Diabetic Retinopathy Diagnosis: Enhancing Accuracy and Generalizability in Under-Resourced Regions
Random generation of group elements using combinatorial group theory and automata theory, along with a hardware example
Probing LLM World Models: Enhancing Guesstimation with Wisdom of Crowds Decoding
Optimal oracle inequalities for solving projected fixed-point equations
Predictors of Re-admission for Homeless Families in New York City: The Case of the Win Shelter Network
SPIDER: Selective Plotting of Interconnected Data and Entity Relations
Improving the HardNet Descriptor
Robotics Vision-based Heuristic Reasoning for Underwater Target Tracking and Navigation
Almost Optimal Distributed Algorithms for Large-Scale Graph Problems
AKI-BERT: a Pre-trained Clinical Language Model for Early Prediction of Acute Kidney Injury
Modelling and analysing relations between entities using the multi-agents and social network approaches
Attitude Determination in Urban Canyons: A Synergy between GNSS and 5G Observations
Hamiltonian Perspective on Compartmental Reaction-Diffusion Networks
DataCLUE: A Benchmark Suite for Data-centric NLP
Fault-tolerant control of random switching topology multi-agent system based on event triggering
Unsupervised Learning of Depth, Camera Pose and Optical Flow from Monocular Video
Inversion symmetry of singular values and a new orbital ordering method in tensor train approximations for quantum chemistry
Head Stabilization for Wheeled Bipedal Robots via Force-Estimation-Based Admittance Control
Theory Meets Practice for Bit Vectors Supporting Rank and Select
Heterogeneous Edge-Enhanced Graph Attention Network For Multi-Agent Trajectory Prediction
New Insight in Cervical Cancer Diagnosis Using Convolution Neural Network Architecture
A Table of Contents for the Front Page of the Internet
Python Implementation and Construction of Finite Abelian Groups
Bacterial Foraging Optimized STATCOM for Stability Assessment in Power System
Who are you, ChatGPT? Personality and Demographic Style in LLM-Generated Content
Building population models for large-scale neural recordings: opportunities and pitfalls
Learning Graph Laplacian with MCP
Remasking Discrete Diffusion Models with Inference-Time Scaling
M4-SAR: A Multi-Resolution, Multi-Polarization, Multi-Scene, Multi-Source Dataset and Benchmark for Optical-SAR Fusion Object Detection
Attainment Ratings for Graph-Query Recommendation
Progressive Knowledge Transfer Based on Human Visual Perception Mechanism for Perceptual Quality Assessment of Point Clouds
Non-IID data in Federated Learning: A Survey with Taxonomy, Metrics, Methods, Frameworks and Future Directions
Modeling Relational Information in Question-Answer Pairs with Convolutional Neural Networks
ToGCom: An Asymmetric Sybil Defense
Trajectory Entropy: Modeling Game State Stability from Multimodality Trajectory Prediction
Rethinking Transformer Connectivity: TLinFormer, A Path to Exact, Full Context-Aware Linear Attention
Singular value decompositions of third-order reduced biquaternion tensors
Fourier theoretic inequalities for inclusion of simple C*-algebras
Probing Neural Topology of Large Language Models
De-identification of medical records using conditional random fields and long short-term memory networks
Aggregations over Generalized Hypertree Decompositions
The Maximum Linear Arrangement Problem for trees under projectivity and planarity
A Self-Supervised Automatic Post-Editing Data Generation Tool
Efficient Point Transformer with Dynamic Token Aggregating for Point Cloud Processing
Distributed memory parallel adaptive tensor-train cross approximation
Association and Caching in Relay-Assisted mmWave Networks: From A Stochastic Geometry Perspective
Doubly-Adaptive Artificial Compression Methods for Incompressible Flow
Correcting Motion Distortion for LIDAR HD-Map Localization
A structure-preserving algorithm for the fractional nonlinear Schrödinger equation based on the SAV approach
Weakly Supervised Label Learning Flows
Optimal Resource and Demand Redistribution for Healthcare Systems Under Stress from COVID-19
Visual enhancement and 3D representation for underwater scenes: a review
A Pattern Discovery Approach to Multivariate Time Series Forecasting
Cascade of failures in coupled network systems with multiple support-dependent relations
Quantifying Maximum Actuator Degradation for a Given H 2 /H ∞ Performance with Full-State Feedback Control
A Wireless Sensor Network based approach to monitor and control air Pollution in large urban areas
Compressed Basis GMRES on High Performance GPUs
Quantitative Distortion Analysis of Flattening Applied to the Scroll from En-Gedi
PointINS: Point-based Instance Segmentation
eRSS-RAMP: A Rule-Adherence Motion Planner Based on Extended Responsibility-Sensitive Safety for Autonomous Driving
More powerful biomolecular computers
Generalized multiple depot traveling salesmen problem - polyhedral study and exact algorithm
GaitPrivacyON: Privacy-Preserving Mobile Gait Biometrics using Unsupervised Learning
Minimum Width for Deep, Narrow MLP: A Diffeomorphism and the Whitney Embedding Theorem Approach
A Single Iterative Step for Anytime Causal Discovery
Deep Reinforcement Learning Based Optimal Infinite-Horizon Control of Probabilistic Boolean Control Networks
Continual Learning for Acoustic Event Classification
Finite-size scaling, phase coexistence, and algorithms for the random cluster model on random graphs
Generalized simulation model of teaching and its research on PC
A Data-Centric Framework for Addressing Phonetic and Prosodic Challenges in Russian Speech Generative Models
A convolutional neural network approach to deblending seismic data
Design discussion on the ISDA Common Domain Model
Comparing Global Tourism Flows Measured by Official Census and Social Sensing
Multitask and Transfer Learning for Autotuning Exascale Applications
Ontological Learning from Weak Labels
Switch-a-View: Few-Shot View Selection Learned from Edited Videos
Extensible Prompts for Language Models
Steward: Natural Language Web Automation
Empirical Evaluation of Integrated Trust Mechanism to Improve Trust in E-commerce Services
Fundamental Data Structures for Matrix-Free Finite Elements on Hybrid Tetrahedral Grids
Federated PAC-Bayesian Learning on Non-IID data
Improving Traffic Flow Predictions with SGCN-LSTM: A Hybrid Model for Spatial and Temporal Dependencies
Closing the AI generalization gap by adjusting for dermatology condition distribution differences across clinical settings
From Connectivity to Autonomy: The Dawn of Self-Evolving Communication Systems
Hyperparameter Optimization: Foundations, Algorithms, Best Practices and Open Challenges
ProJo4D: Progressive Joint Optimization for Sparse-View Inverse Physics Estimation
Asymmetric Decision-Making in Online Knowledge Distillation:Unifying Consensus and Divergence
Computation of Total Kidney Volume from CT images in Autosomal Dominant Polycystic Kidney Disease using Multi-Task 3D Convolutional Neural Networks
Twin Deformable Point Convolutions for Point Cloud Semantic Segmentation in Remote Sensing Scenes
Efficient Retrieval of Logos Using Rough Set Reducts
NemeSys: An Online Underwater Explorer with Goal-Driven Adaptive Autonomy
Sequential Randomized Matrix Factorization for Gaussian Processes: Efficient Predictions and Hyper-parameter Optimization
Large Class Separation is not what you need for Relational Reasoning-based OOD Detection
On a variant of Monotone NAE-3SAT and the Triangle-Free Cut problem
A European Multi-Center Breast Cancer MRI Dataset
On Analyzing Antisocial Behaviors Amid COVID-19 Pandemic
IterGANs: Iterative GANs to Learn and Control 3D Object Transformation
Many-to-Many Voice Conversion using Conditional Cycle-Consistent Adversarial Networks
Asynchronous Federated Learning with Reduced Number of Rounds and with Differential Privacy from Less Aggregated Gaussian Noise
Pacta sunt servanda: legal contracts in Stipula
Development of collective behavior in newborn artificial agents
Sensitive Information Detection: Recursive Neural Networks for Encoding Context
Asynchronous Sessions with Input Races
AnyCalib: On-Manifold Learning for Model-Agnostic Single-View Camera Calibration
Noise reduction combining microphone and piezoelectric device
An Experiment with Bands and Dimensions in Classifiers
Normalization Before Shaking Toward Learning Symmetrically Distributed Representation Without Margin in Speech Emotion Recognition
Text-based Emotion Aware Recommender
Basis transform in switched linear system state-space models from input-output data
Zero-Sum Games with Noisy Observations
PGAHum: Prior-Guided Geometry and Appearance Learning for High-Fidelity Animatable Human Reconstruction
Use of R-trees to improve reconstruction time in pixel trackers
Unlabeled Data Improves Fine-Grained Image Zero-shot Classification with Multimodal LLMs
Beta Reduction is Invariant, Indeed (Long Version)
Memory based neural networks for end-to-end autonomous driving
(Un)Decidability Bounds of the Synthesis Problem for Petri Games
2DNMR data inversion using locally adapted multi-penalty regularization
VERCEL: Verification and Rectification of Configuration Errors with Least Squares
Cooperative network localization using hybrid range and angle measurements
RoadBench: Benchmarking MLLMs on Fine-Grained Spatial Understanding and Reasoning under Urban Road Scenarios
Adversarially Learning a Local Anatomical Prior: Vertebrae Labelling with 2D reformations
Radio U-Net: a convolutional neural network to detect diffuse radio sources in galaxy clusters and beyond
Link Prediction using Top-$k$ Shortest Distances
Hyper360 - a Next Generation Toolset for Immersive Media
Stress Testing of Design Assumptions in Cyper-Physical Systems: A Control Theory-Based Approach
Robust Registration of Gaussian Mixtures for Colour Transfer
General Criteria for Successor Rules to Efficiently Generate Binary de Bruijn Sequences
Autotagging music with conditional restricted Boltzmann machines
Rethinking Optimization: A Systems-Based Approach to Social Externalities
Rapid Extraction of Respiratory Waveforms from Photoplethysmography: A Deep Encoder Approach
Skim-Aware Contrastive Learning for Efficient Document Representation
DREAM-Talk: Diffusion-based Realistic Emotional Audio-driven Method for Single Image Talking Face Generation
Computing representation matrices for the action of Frobenius to cohomology groups
Dynamic Intent Queries for Motion Transformer-based Trajectory Prediction
Entropy-Driven Curriculum for Multi-Task Training in Human Mobility Prediction
Distribution-aware 𝓁 1 Analysis Minimization
Do Neural Networks Show Gestalt Phenomena? An Exploration of the Law of Closure
Distribution market as a ramping aggregator for grid flexibility support
Trust-by-Design: Evaluating Issues and Perceptions within Clinical Passporting
I am Definitely Manipulated, Even When I am Aware of it. It s Ridiculous! - Dark Patterns from the End-User Perspective
InfoPattern: Unveiling Information Propagation Patterns in Social Media
IDS in Telecommunication Network Using PCA
Self-similar prior and wavelet bases for hidden incompressible turbulent motion
Latent Space Topology Evolution in Multilayer Perceptrons
Vision-based navigation and obstacle avoidance via deep reinforcement learning
Thompson Sampling for CVaR Bandits
Semi-parametric Bayesian Additive Regression Trees
Improving cross-domain brain tissue segmentation in fetal MRI with synthetic data
An posteriori error estimator for discontinuous Galerkin discretisations of convection-diffusion problems with application to Earth's mantle convection simulations
Calcium: computing in exact real and complex fields
A discontinuous Galerkin overset scheme using WENO reconstruction and subcells for two-dimensional problems
Analyzing Consistency of Behavioral REST Web Service Interfaces
Achieving Scalable Capacity in Wireless Mesh Networks
From Reviews to Actionable Insights: An LLM-Based Approach for Attribute and Feature Extraction
Low-Precision Reinforcement Learning
Decoupled Knowledge with Ensemble Learning for Online Distillation
The Symmetric Group Defies Strong Fourier Sampling: Part I
DBATES: DataBase of Audio features, Text, and visual Expressions in competitive debate Speeches
International Scientific Migration and Collaboration Patterns Following a Bibliometrics Line of Investigation
Lightweight Real-time Makeup Try-on in Mobile Browsers with Tiny CNN Models for Facial Tracking
Machine learning for industrial sensing and control: A survey and practical perspective
Skolem Meets Bateman-Horn
Cross-domain CNN for Hyperspectral Image Classification
Comprehensive Assessment of Toxicity in ChatGPT
Sparse Network Lasso for Local High-dimensional Regression
Semi-Global Stereo Matching with Surface Orientation Priors
PEDRO: Parameter-Efficient Fine-tuning with Prompt DEpenDent Representation MOdification
Deployment Optimization of IoT Devices through Attack Graph Analysis
Robust Multi-Domain Mitosis Detection
Revisiting Robust RAG: Do We Still Need Complex Robust Training in the Era of Powerful LLMs?
On a property of the $n$-dimensional cube
The Rise of AI-Generated Content in Wikipedia
DTW k-means clustering for fault detection in photovoltaic modules
Learning When to Ask for Help: Transferring Human Knowledge through Part-Time Demonstration
On monitoring development using high resolution satellite images
Belief Tree Search for Active Object Recognition
SA-DiffuSeq: Addressing Computational and Scalability Challenges in Long-Document Generation with Sparse Attention
Interactive Character Posing by Sparse Coding
Estimating localized complexity of white-matter wiring with GANs
VibraVerse: A Large-Scale Geometry-Acoustics Alignment Dataset for Physically-Consistent Multimodal Learning
A Robust Framework for Moving-Object Detection and Vehicular Traffic Density Estimation
Unified Generator-Classifier for Efficient Zero-Shot Learning
A stable majority population protocol using logarithmic time and states
Distributed Processing of Generalized Graph-Pattern Queries in SPARQL 1.1
Learnability Window in Gated Recurrent Neural Networks
Descriptor System Tools (DSTOOLS) User's Guide
Bounds on List Decoding Gabidulin Codes
Improving the Accessibility of Dating Websites for Individuals with Visual Impairments
Phase Transitions of Plan Modification in Conformant Planning
Energy Storage Sharing in Smart Grid: A Modified Auction Based Approach
Mining Generalized Patterns from Large Databases using Ontologies
Entropy Based Detection And Behavioral Analysis Of Hybrid Covert Channeling Secured Communication
Learning The Best Expert Efficiently
Maximizing Information in Neuron Populations for Neuromorphic Spike Encoding
Low-overhead Joint Channel Estimation and Data Detection in ZP-OTFS System
Volumetric performance capture from minimal camera viewpoints
SpRRAM: A Predefined Sparsity Based Memristive Neuromorphic Circuit for Low Power Application
Nighttime Pedestrian Detection Based on Fore-Background Contrast Learning
Adaptive Visual Perception for Robotic Construction Process: A Multi-Robot Coordination Framework
Block-proximal methods with spatially adapted acceleration
Cyst-X: AI-Powered Pancreatic Cancer Risk Prediction from Multicenter MRI in Centralized and Federated Learning
Introducing Model Inversion Attacks on Automatic Speaker Recognition
Geometric means of HPD GLT matrix-sequences: a maximal result beyond invertibility assumptions on the GLT symbols
Latent Correlation Representation Learning for Brain Tumor Segmentation with Missing MRI Modalities
Theoretical Performance Limits of Massive MIMO with Uncorrelated Rician Fading Channels
How to design, and tune, a computed torque controller: An introduction and a Matlab example
Phase transition in noisy high-dimensional random geometric graphs
Unraveling Zeroth-Order Optimization through the Lens of Low-Dimensional Structured Perturbations
PRISM: A Transformer-based Language Model of Structured Clinical Event Data
AutoFT: Robust Fine-Tuning by Optimizing Hyperparameters on OOD Data
New centrality measure: ksi-centrality
A risk analysis framework for real-time control systems
A quantum homomorphic encryption scheme for polynomial-sized circuits
Beyond Anti-Forgetting: Multimodal Continual Instruction Tuning with Positive Forward Transfer
Venn predictors and isotonic regression
Improved Deep Learning Baselines for Ubuntu Corpus Dialogs
Automatic Counterfactual Augmentation for Robust Text Classification Based on Word-Group Search
Robust Federated Learning with Noisy Communication
Dynamic Memory Based Adaptive Optimization
Transmitter Optimization in Slow Fading MISO Wiretap Channel
Formalizing the Curry-Howard Correspondence
Face Adapter for Pre-Trained Diffusion Models with Fine-Grained ID and Attribute Control
Visualizing Patient Timelines in the Intensive Care Unit
Shared Coupling-bridge for Weakly Supervised Local Feature Learning
Z-checker: A Framework for Assessing Lossy Compression of Scientific Data
Investigating The Smells of LLM Generated Code
Precise gradient descent training dynamics for finite-width multi-layer neural networks
CORE: Augmenting Regenerating-Coding-Based Recovery for Single and Concurrent Failures in Distributed Storage Systems
A combinatorial model of malware diffusion via Bluetooth connections
Comparing Traditional and Reinforcement-Learning Methods for Energy Storage Control
Developer Productivity with GenAI
Sycophancy Is Not One Thing: Causal Separation of Sycophantic Behaviors in LLMs
Differentially Private Neural Network Training under Hidden State Assumption
Spatial-Temporal Reinforcement Learning for Network Routing with Non-Markovian Traffic
Learning to Rank Rationales for Explainable Recommendation
Iterative Occlusion-Aware Light Field Depth Estimation using 4D Geometrical Cues