yusuke1997/dblp-id-title huggingface dataset:
Diffusion-Based Failure Sampling for Cyber-Physical Systems
In-situ data extraction for pathway analysis in an idealized atmosphere configuration of E3SM
Improved upper and lower bounds for the point placement problem
Uniform Input-to-State Stability for Switched and Time-Varying Impulsive Systems
Social Media Unrest Prediction during the {COVID}-19 Pandemic: Neural Implicit Motive Pattern Recognition as Psychometric Signs of Severe Crises
Generalized Multiscale Finite Element Methods (GMsFEM)
Training a Deep Neural Network via Policy Gradients for Blind Source Separation in Polyphonic Music Recordings
Neuro-Symbolic Recommendation Model based on Logic Query
Predict-and-recompute conjugate gradient variants
RefiDiff: Refinement-Aware Diffusion for Efficient Missing Data Imputation
The Influence of Generative AI on Content Platforms: Supply, Demand, and Welfare Impacts in Two-Sided Markets
Intelligent learning environments within blended learning for ensuring effective C programming course
Co-driver: VLM-based Autonomous Driving Assistant with Human-like Behavior and Understanding for Complex Road Scenes
Dynamic Local Attention with Hierarchical Patching for Irregular Clinical Time Series
Dual-path convolutional neural network using micro-FTIR imaging to predict breast cancer subtypes and biomarkers levels: estrogen receptor, progesterone receptor, HER2 and Ki67
Capacity Analysis of Index Modulations over Spatial, Polarization and Frequency Dimensions
URPlanner: A Universal Paradigm For Collision-Free Robotic Motion Planning Based on Deep Reinforcement Learning
Explaining and Mitigating Crosslingual Tokenizer Inequities
Provably Safe and Robust Drone Routing via Sequential Path Planning: A Case Study in San Francisco and the Bay Area
The Role of Phonetic Units in Speech Emotion Recognition
On the Complexity of 2-Player Packing Games
A4O: All Trigger for One sample
Truthfulness with Value-Maximizing Bidders
Audio-Visual Speech Separation and Dereverberation with a Two-Stage Multimodal Network
AutoTrack: Towards High-Performance Visual Tracking for UAV with Automatic Spatio-Temporal Regularization
Adapting SAM via Cross-Entropy Masking for Class Imbalance in Remote Sensing Change Detection
Game semantics of Martin-Löf type theory, part III: its consistency with Church's thesis
State space models for building control: how deep should you go?
Fixed-parameter tractability of multicut in directed acyclic graphs
Optimal short-term memory before the edge of chaos in driven random recurrent networks
The Role of Summarization in Generative Agents: A Preliminary Perspective
Fuzzy clustering of circular time series based on a new dependence measure with applications to wind data
Attention for Causal Relationship Discovery from Biological Neural Dynamics
Differentiable Neural-Integrated Meshfree Method for Forward and Inverse Modeling of Finite Strain Hyperelasticity
Multimodal Generative AI with Autoregressive LLMs for Human Motion Understanding and Generation: A Way Forward
Criticality and Popularity in Social Networks
Contributions to the Theory of Clifford-Cyclotomic Circuits
EARN Fairness: Explaining, Asking, Reviewing and Negotiating Artificial Intelligence Fairness Metrics Among Stakeholders
Error constant estimation under the maximum norm for linear Lagrange interpolation
Machine Learning Approach for Predicting Students Academic Performance and Study Strategies based on their Motivation
TSST: A Benchmark and Evaluation Models for Text Speech-Style Transfer
A Passwordless MFA Utlizing Biometrics, Proximity and Contactless Communication
Optimal error bounds on an exponential wave integrator Fourier spectral method for the logarithmic Schrödinger equation
SVGD: A Virtual Gradients Descent Method for Stochastic Optimization
Adaptive re-calibration of channel-wise features for Adversarial Audio Classification
A 3D explainability framework to uncover learning patterns and crucial sub-regions in variable sulci recognition
Ethical and Social Aspects of Self-Driving Cars
Physics-informed neural networks for improving cerebral hemodynamics predictions
RoboREIT: an Interactive Robotic Tutor with Instructive Feedback Component for Requirements Elicitation Interview Training
Towards Efficient Machine Learning Method for IoT DDoS Attack Detection
Generalization the parameters of minimal linear codes over the ring Z p l
Adaptive Foundation Models for Online Decisions: HyperAgent with Fast Incremental Uncertainty Estimation
Deep Multimodal Feature Encoding for Video Ordering
Group privacy for personalized federated learning
A New Lightweight Algorithm to compute the BWT and the LCP array of a Set of Strings
Efficient Detectors for Telegram Splitting based Transmission in Low Power Wide Area Networks with Bursty Interference
Dual-Branch Residual Network for Cross-Domain Few-Shot Hyperspectral Image Classification with Refined Prototype
Infrared and visible image fusion using Latent Low-Rank Representation
FVA-RAG: Falsification-Verification Alignment for Mitigating Sycophantic Hallucinations
Interactive Overlays of Journals and the Measurement of Interdisciplinarity on the basis of Aggregated Journal-Journal Citations
An Application of Model Reference Adaptive Control for Multi-Agent Synchronization in Drone Networks
Fast Adaptation with Kernel and Gradient based Meta Leaning
Fair Foundation Models for Medical Image Analysis: Challenges and Perspectives
Dynamics-Based Algorithm-Level Privacy Preservation for Push-Sum Average Consensus
Deconstructing Jazz Piano Style Using Machine Learning
InteractiveSurvey: An LLM-based Personalized and Interactive Survey Paper Generation System
Term Hiding and its Impact on Run-time Check Simplification
3D Neural Network for Lung Cancer Risk Prediction on CT Volumes
Dependence Structure Analysis Of Meta-level Metrics in YouTube Videos: A Vine Copula Approach
Analysis of the Unscented Transform Controller for Systems with Bounded Nonlinearities
Methods for computing state similarity in Markov Decision Processes
A Model-Based Approach for Specifying Changes in Replications of Empirical Studies in Computer Science
A framework for syntactic and semantic quality evaluation of ontologies
NTP : A Neural Network Topology Profiler
Limitations on Quantum Key Repeaters
PLAIN: Scalable Estimation Architecture for Integrated Sensing and Communication
BaiJia: A Large Scale Role-Playing Agent Corpus of Chinese Historical Charcaters
RICA2: Rubric-Informed, Calibrated Assessment of Actions
Towards Interpretable Ensemble Learning for Image-based Malware Detection
Tradeoffs When Considering Deep Reinforcement Learning for Contingency Management in Advanced Air Mobility
A Separation Algorithm for Improved LP-Decoding of Linear Block Codes
Free3D: Consistent Novel View Synthesis without 3D Representation
Understanding the Rank of Tensor Networks via an Intuitive Example-Driven Approach
Bayesian Additive Regression Networks
Adapting Video Diffusion Models for Time-Lapse Microscopy
The Dark Side of Trust: Authority Citation-Driven Jailbreak Attacks on Large Language Models
Design Patterns for Complex Event Processing
SWE-bench Goes Live!
A high-order well-balanced positivity-preserving moving mesh DG method for the shallow water equations with non-flat bottom topography
A taxonomy of video lecture styles
Uncertain Facial Expression Recognition via Multi-task Assisted Correction
Training Priors Predict Text-To-Image Model Performance
Exploring Weight Importance and Hessian Bias in Model Pruning
WeChat AI's Submission for DSTC9 Interactive Dialogue Evaluation Track
Weight hierarchies of three-weight p-ary linear codes from inhomogeneous quadratic forms
A Practical Solution to Systematically Monitor Inconsistencies in SBOM-based Vulnerability Scanners
Benchmarking Chinese Commonsense Reasoning with a Multi-hop Reasoning Perspective
Robustly Leveraging Prior Knowledge in Text Classification
A Two-layer Architecture of Mobile Sinks and Static Sensors
Using a Dynamic Neural Field Model to Explore a Direct Collicular Inhibition Account of Inhibition of Return
Power Factor Correction of Inductive Loads using PLC
Harmony-Search and Otsu based System for Coronavirus Disease (COVID-19) Detection using Lung CT Scan Images
Optimal time sampling in physics-informed neural networks
Infinite-Instruct: Synthesizing Scaling Code instruction Data with Bidirectional Synthesis and Static Verification
Project Success in Agile Development Projects
Throughput Maximization for an Energy Harvesting Communication System with Processing Cost
MUVERA: Multi-Vector Retrieval via Fixed Dimensional Encodings
Violence detection in videos using deep recurrent and convolutional neural networks
Set-to-Sequence Methods in Machine Learning: a Review
Signal transmission on lossy lines as a dissipative quantum state propagation
Network Based Pricing for 3D Printing Services in Two-Sided Manufacturing-as-a-Service Marketplace
Contextual Text Embeddings for Twi
GPU First - Execution of Legacy CPU Codes on GPUs
A Kernel Based High Order "Explicit" Unconditionally Stable Constrained Transport Method for Ideal Magnetohydrodynamics
MG/OPT and MLMC for Robust Optimization of PDEs
Layered Rendering Diffusion Model for Zero-Shot Guided Image Synthesis
Detecting Core-Periphery Structure in Spatial Networks
FT-SWRL: A Fuzzy-Temporal Extension of Semantic Web Rule Language
Superfast Selection for Decision Tree Algorithms
A Linear Combination-based Method to Construct Proxy Benchmarks for Big Data Workloads
Disaster Recovery Using Virtual Machines
Military AI Cyber Agents (MAICAs) Constitute a Global Threat to Critical Infrastructure
Hazelnut: A Bidirectionally Typed Structure Editor Calculus
CORE: Data Augmentation for Link Prediction via Information Bottleneck
On Classifying Sepsis Heterogeneity in the ICU: Insight Using Machine Learning
Contact Map Transfer with Conditional Diffusion Model for Generalizable Dexterous Grasp Generation
Locally Adaptive One-Class Classifier Fusion with Dynamic ℓp-Norm Constraints for Robust Anomaly Detection
Semi-supervised multiscale dual-encoding method for faulty traffic data detection
GPT-4 as an interface between researchers and computational software: improving usability and reproducibility
Beam Designs for Millimeter-Wave Backhaul with Dual-Polarized Uniform Planar Arrays
Using Hierarchical Data Mining to Characterize Performance of Wireless System Configurations
Graph matching the matchable nodes when some nodes are unmatchable
Unsupervised and Interpretable Domain Adaptation to Rapidly Filter Social Web Data for Emergency Services
Reducing Object Detection Uncertainty from RGB and Thermal Data for UAV Outdoor Surveillance
A Comprehensive Study of Class Incremental Learning Algorithms for Visual Tasks
Symmetric Rendezvous With Advice: How to Rendezvous in a Disk
High Quality Large-Scale 3-D Urban Mapping with Multi-Master TomoSAR
Program Analysis for High-Value Smart Contract Vulnerabilities: Techniques and Insights
On energy preserving high-order discretizations for nonlinear acoustics
Discrete Prior-based Temporal-coherent Content Prediction for Blind Face Video Restoration
Helenos: A Realistic Benchmark for Distributed Transactional Memory
Gradient descent induces alignment between weights and the empirical NTK for deep non-linear networks
Let Guidelines Guide You: A Prescriptive Guideline-Centered Data Annotation Methodology
Braid Group Cryptography
Design of the Propulsion System of Nano satellite: StudSat2
A composable autoencoder-based iterative algorithm for accelerating numerical simulations
Learning Representations from Deep Networks Using Mode Synthesizers
Spherinator and HiPSter: Representation Learning for Unbiased Knowledge Discovery from Simulations
Nearest Neighbor based Clustering Algorithm for Large Data Sets
Network Issues in Virtual Machine Migration
XAI-Increment: A Novel Approach Leveraging LIME Explanations for Improved Incremental Learning
RealCQA: Scientific Chart Question Answering as a Test-bed for First-Order Logic
A Multiple-Instance Learning Approach for the Assessment of Gallbladder Vascularity from Laparoscopic Images
Collision-Free Platooning of Mobile Robots through a Set-Theoretic Predictive Control Approach
Efficiency of Entanglement Concentration by Photon Subtraction
Adaptive music: Automated music composition and distribution
Deep Learning for Multi-Messenger Astrophysics: A Gateway for Discovery in the Big Data Era
Using DevOps Toolchains in Agile Model-Driven Engineering
Reliable Replication Protocols on SmartNICs
Terahertz Quasi-BIC Metasurfaces for Ultra-Sensitive Biosensing and High-Speed Wireless Communications
Hess-MC2: Sequential Monte Carlo Squared using Hessian Information and Second Order Proposals
Design and control of a soft, shape-changing, crawling robot
Conditional Support Alignment for Domain Adaptation with Label Shift
Grouped Differential Attention
Forward Laplacian: A New Computational Framework for Neural Network-based Variational Monte Carlo
Is Intermediate Fusion All You Need for UAV-based Collaborative Perception?
Fluent APIs in Functional Languages (full version)
Automating SBOM Generation with Zero-Shot Semantic Similarity
Word2winners at SemEval-2025 Task 7: Multilingual and Crosslingual Fact-Checked Claim Retrieval
Modular Photobioreactor Façade Systems for Sustainable Architecture: Design, Fabrication, and Real-Time Monitoring
Interval Slopes as Numerical Abstract Domain for Floating-Point Variables
Sampling Clustering
Towards A Scalable Solution for Improving Multi-Group Fairness in Compositional Classification
Distributed Dynamic Safe Screening Algorithms for Sparse Regularization
Probability Distributions for Elliptic Curves in the CGL Hash Function
Adaptive Proximal Policy Optimization with Upper Confidence Bound
Learning to flock in open space by avoiding collisions and staying together
Reinforcement Learning for the Unit Commitment Problem
Continual Learning for Affective Computing
A Faster Algorithm for Maximum Independent Set on Interval Filament Graphs
Analytical Forward Dynamics Modeling of Linearly Actuated Heavy-Duty Parallel-Serial Manipulators
Average-Hard Attention Transformers are Constant-Depth Uniform Threshold Circuits
Interpretable Fairness via Target Labels in Gaussian Process Models
Algebraic entropy fixes and convex limiting for continuous finite element discretizations of scalar hyperbolic conservation laws
Oversampling and Downsampling with Core-Boundary Awareness: A Data Quality-Driven Approach
MEPT: Mixture of Expert Prompt Tuning as a Manifold Mapper
Learning Multi-Access Point Coordination in Agentic AI Wi-Fi with Large Language Models
Key Management in Mobile Sensor Networks
Data Protection for Data Privacy-A South African Problem?
Compression of Large-Scale 3D Point Clouds Based on Joint Optimization of Point Sampling and Feature Extraction
On Fundamental Limits for Fluid Antenna-assisted Integrated Sensing and Communications for Unsourced Random Access
DFReg: A Physics-Inspired Framework for Global Weight Distribution Regularization in Neural Networks
On Worst-case Regret of Linear Thompson Sampling
RP-DQN: An application of Q-Learning to Vehicle Routing Problems
Aligning Netlist to Source Code using SynAlign
Counterfactual Explanations for Concepts in ELH
Quantum Neural Machine Learning - Backpropagation and Dynamics
A Unified Framework of Bundle Adjustment and Feature Matching for High-Resolution Satellite Images
Measuring Contextual Relationships in Temporal Social Networks by Circle Link
In Search of Needles in a 11M Haystack: Recurrent Memory Finds What LLMs Miss
Deconstructing the Dual Black Box:A Plug-and-Play Cognitive Framework for Human-AI Collaborative Enhancement and Its Implications for AI Governance
Support Vector Machine Guided Reproducing Kernel Particle Method for Image-Based Modeling of Microstructures
Burst Image Super-Resolution with Mamba
ORCAst: Operational High-Resolution Current Forecasts
A Comprehensive Study of Pseudo-tested Methods
Defense in Depth: The Basics of Blockade and Delay
Enhancing Generative Molecular Design via Uncertainty-guided Fine-tuning of Variational Autoencoders
Biological Organisms as End Effectors
LISNeRF Mapping: LiDAR-based Implicit Mapping via Semantic Neural Fields for Large-Scale 3D Scenes
Error Inhibiting Schemes for Initial Boundary Value Heat Equation
The Potential of Large Language Models in Supply Chain Management: Advancing Decision-Making, Efficiency, and Innovation
Reinforcement Learning with Structured Hierarchical Grammar Representations of Actions
AI Standardized Patient Improves Human Conversations in Advanced Cancer Care
Recognizing Multi-talker Speech with Permutation Invariant Training
On the Robustness of Winners: Counting Briberies in Elections
Lexicon-Based Sentiment Analysis on Text Polarities with Evaluation of Classification Models
Need Polynomial Systems be Doubly-exponential?
Closing the Curvature Gap: Full Transformer Hessians and Their Implications for Scaling Laws
One-bit Supervision for Image Classification: Problem, Solution, and Beyond
Neurosymbolic Repair for Low-Code Formula Languages
Feasibility of Genetic Algorithm for Textile Defect Classification Using Neural Network
PolBiX: Detecting LLMs' Political Bias in Fact-Checking through X-phemisms
Towards the Unification of Generative and Discriminative Visual Foundation Model: A Survey
AppealCase: A Dataset and Benchmark for Civil Case Appeal Scenarios
Explainable Anomaly Detection for Electric Vehicles Charging Stations
Rapid aerodynamic prediction of swept wings via physics-embedded transfer learning
Extreme Bandits using Robust Statistics
Net2Net: When Un-trained Meets Pre-trained Networks for Robust Real-World Denoising
Graph Neural Networks in Multi-Omics Cancer Research: A Structured Survey
A simple technique for unstructured mesh generation via adaptive finite elements
Socio-Material Network Analysis: A Mixed Method Study of Five European Artistic Collectives
Specification-based CSV Support in VDM
The Constant in the Theorem of Binev-Dahmen-DeVore-Stevenson and a Generalisation of it
Subresultant of several univariate polynomials
Discovering Cyclists' Street Visual Preferences Through Multi-Source Big Data Using Deep Inverse Reinforcement Learning
Optimized Kalman Filter based State Estimation and Height Control in Hopping Robots
Optimal competitiveness for the Rectilinear Steiner Arborescence problem
Improving Coverage in Combined Prediction Sets with Weighted p-values
OGSA/Globus Evaluation for Data Intensive Applications
Common CNN-based Face Embedding Spaces are (Almost) Equivalent
Connectivity in one-dimensional ad hoc networks with an access point
Pixie: A heterogeneous Virtual Coarse-Grained Reconfigurable Array for high performance image processing applications
Privacy-Preserving Infection Exposure Notification without Trust in Third Parties
Solving Inverse Problems in Stochastic Self-Organising Systems through Invariant Representations
Asynchronous Federated Learning with non-convex client objective functions and heterogeneous dataset
Information-Theoretic Detection of Unusual Source Code Changes
Towards an MLOps Architecture for XAI in Industrial Applications
Representation Learning for cold-start recommendation
Impact and Implications of Generative AI for Enterprise Architects in Agile Environments: A Systematic Literature Review
Sharpness-Aware Minimization: An Implicit Regularization Perspective
Batch is back: CasJobs, serving multi-TB data on the Web
Universal Dynamic Regret and Constraint Violation Bounds for Constrained Online Convex Optimization
On Variants of Root Normalised Order-aware Divergence and a Divergence based on Kendall's Tau
Remembering What Is Important: A Factorised Multi-Head Retrieval and Auxiliary Memory Stabilisation Scheme for Human Motion Prediction
Safe and Sustainable Electric Bus Charging Scheduling with Constrained Hierarchical DRL
Point to Span: Zero-Shot Moment Retrieval for Navigating Unseen Hour-Long Videos
The Sketching Complexity of Graph Cuts
Towards Stratified Space Learning: 2-complexes
SafePLUG: Empowering Multimodal LLMs with Pixel-Level Insight and Temporal Grounding for Traffic Accident Understanding
A Feasibility Study of Answer-Agnostic Question Generation for Education
RF-3DGS: Wireless Channel Modeling with Radio Radiance Field and 3D Gaussian Splatting
Efficient Frequency-Domain Decoding Algorithms for Reed-Solomon Codes
Using Peer-Customers to Scalably Pair Student Teams with Customers for Hands-on Curriculum Final Projects
Improved Estimation of Class Prior Probabilities through Unlabeled Data
A Complete Derivation Of The Association Log-Likelihood Distance For Multi-Object Tracking
Multiple faults diagnosis using causal graph
HealthWalk: Promoting Health and Mobility through Sensor-Based Rollator Walker Assistance
Tagging French Without Lexical Probabilities - Combining Linguistic Knowledge And Statistical Learning
Level-based Blocking for Sparse Matrices: Sparse Matrix-Power-Vector Multiplication
MCR-Net: A Multi-Step Co-Interactive Relation Network for Unanswerable Questions on Machine Reading Comprehension
Integral quadratic constraints for asynchronous sample-and-hold links
LeRoP: A Learning-Based Modular Robot Photography Framework
Learning to Answer from Correct Demonstrations
Efficient Mixture-of-Agents Serving via Tree-Structured Routing, Adaptive Pruning, and Dependency-Aware Prefill-Decode Overlap
MCMF: Multi-Constraints With Merging Features Bid Optimization in Online Display Advertising
Enabling Generative Design Tools with LLM Agents for Building Novel Devices: A Case Study on Fluidic Computation Interfaces
Word and Phrase Translation with word2vec
Cramér-Rao Bounds for Near-Field Sensing with Extremely Large-Scale MIMO
Evaluating the Potential of Federated Learning for Maize Leaf Disease Prediction
Fine-grained Qualitative Spatial Reasoning about Point Positions
Learning Interior Point Method for AC and DC Optimal Power Flow
Skeleton-Guided Spatial-Temporal Feature Learning for Video-Based Visible-Infrared Person Re-Identification
Designing Biological Sequences via Meta-Reinforcement Learning and Bayesian Optimization
RetVec: Resilient and Efficient Text Vectorizer
HumanACGAN: conditional generative adversarial network with human-based auxiliary classifier and its evaluation in phoneme perception
Super Solutions of the Model RB
Continuous-Time Bayesian Networks with Clocks
To the Kühnel conjecture on embeddability of k-complexes in 2k-manifolds
The Ethics of Generative AI
Small-Amp: Test Amplification in a Dynamically Typed Language
Debugging Machine Learning Tasks
QoS-Aware Load Balancing in the Computing Continuum via Multi-Player Bandits
Heterogeneous reconstruction of deformable atomic models in Cryo-EM
Autonomous learning of multiple, context-dependent tasks
Review of Video Predictive Understanding: Early Action Recognition and Future Action Prediction
An Investigation of Warning Erroneous Chat Translations in Cross-lingual Communication
Comparing Generalization in Learning with Limited Numbers of Exemplars: Transformer vs. RNN in Attractor Dynamics
Large-Scale Assessment of Labour Market Dynamics in China during the COVID-19 Pandemic
A Hybrid Hoare Logic for Gene Network Models
Energy Efficient Network Path Reconfiguration for Industrial Field Data
Using Linear Dynamical Topic Model for Inferring Temporal Social Correlation in Latent Space
Impact of Web 2.0 Technologies on Academic Libraries: A Survey on Affiliated Colleges of Solapur University
The Power of Typed Affine Decision Structures: A Case Study
Adaptive debiased SGD in high-dimensional GLMs with streaming data
DiffFuSR: Super-Resolution of all Sentinel-2 Multispectral Bands using Diffusion Models
Stein variational gradient descent on infinite-dimensional space and applications to statistical inverse problems
TempOpt - Unsupervised Alarm Relation Learning for Telecommunication Networks
Novel Design of Quantum Circuits for Representation of Grayscale Images
Robust Deep Gaussian Processes
Hard to Detect Factors of Univariate Integer Polynomials
Differentiable Trajectory Generation for Car-like Robots with Interpolating Radial Basis Function Networks
HENRI: High Efficiency Negotiation-based Robust Interface for Multi-party Multi-issue Negotiation over the Internet
Synchronization in Dynamic Networks