yusuke1997/dblp-id-title huggingface dataset:
The Foundations of Fixed Parameter Inapproximability
Resource Allocation of Dual-Hop VLC/RF Systems with Light Energy Harvesting
A review of on-device fully neural end-to-end automatic speech recognition algorithms
Implicit Tracking-based Distributed Constraint-coupled Optimization
Multimodal User Authentication in Smart Environments: Survey of User Attitudes
Implicit Self-supervised Language Representation for Spoken Language Diarization
Threshold Saturation in Spatially Coupled Constraint Satisfaction Problems
Dance Style Classification using Laban-Inspired and Frequency-Domain Motion Features
A coupled-mechanisms modelling framework for neurodegeneration
Search and Navigation in Relational Databases
Role-SynthCLIP: A Role Play Driven Diverse Synthetic Data Approach
Task-Driven Implicit Representations for Automated Design of LiDAR Systems
Personalized Fashion Recommendation with Image Attributes and Aesthetics Assessment
Fabrication of MEMS Resonators in Thin SOI
DTECT: Dynamic Topic Explorer & Context Tracker
Prompting in Practice: Investigating Software Developers' Use of Generative AI Tools
Breaking the Curse of Dimensionality: On the Stability of Modern Vector Retrieval
Digital Twin Generators for Disease Modeling
Motion-based visual encoding can improve performance on perceptual tasks with dynamic time series
A Semantic Web Framework for Automated Smart Assistants: COVID-19 Case Study
Outracing Human Racers with Model-based Autonomous Racing
Return-based Scaling: Yet Another Normalisation Trick for Deep RL
A Fast Sampling Gradient Tree Boosting Framework
Position Paper: Bridging the Gap Between Machine Learning and Sensitivity Analysis
Conditional Hierarchical Bayesian Tucker Decomposition
Understanding Security Requirements and Challenges in Internet of Things (IoTs): A Review
Designing Scheduling for Diffusion Models via Spectral Analysis
Negative Ties Highlight Hidden Extremes in Social Media Polarization
Deep Learning based Person Re-identification
A simple algorithm for the evaluation of the hypergeometric series using quasi-linear time and linear space
Leveraging Transfer Learning for Segmenting Lesions and their Attributes in Dermoscopy Images
Integrated Expert Recommendation Model for Online Communities
Bipartite Turán number of paths and other trees
Stochastic Learning of Nonstationary Kernels for Natural Language Modeling
Generalized Vertex Transitivity in Graphs
Question answering using deep learning in low resource Indian language Marathi
Synthetic Data-Based Simulators for Recommender Systems: A Survey
Towards the extraction of robust sign embeddings for low resource sign language recognition
The Big Send-off: High Performance Collectives on GPU-based Supercomputers
DISC-LawLLM: Fine-tuning Large Language Models for Intelligent Legal Services
Highly Adaptive Ridge
"Do the Right Thing" for Whom? An Experiment on Ingroup Favouritism, Group Assorting and Moral Suasion
Guiding Mixture-of-Experts with Temporal Multimodal Interactions
Jacobian-Enhanced Neural Networks
Point Cloud Denoising With Fine-Granularity Dynamic Graph Convolutional Networks
Compensated Integrated Gradients to Reliably Interpret EEG Classification
Hidden Question Representations Tell Non-Factuality Within and Across Large Language Models
Pull Message Passing for Nonparametric Belief Propagation
On Learning to Rank Long Sequences with Contextual Bandits
Tight Bounds for Symmetric Divergence Measures and a New Inequality Relating f-Divergences
Embracing Diversity: Interpretable Zero-shot classification beyond one vector per class
Lie Group Formulation and Sensitivity Analysis for Shape Sensing of Variable Curvature Continuum Robots with General String Encoder Routing
Near-Field Linear Sampling Method forAxisymmetric Eddy Current Tomography
Human-Centered AI Transformation: Exploring Behavioral Dynamics in Software Engineering
On the Network Topology Dependent Solution Count of the Algebraic Load Flow Equations
Towards Anytime Optical Flow Estimation with Event Cameras
Principal Basis Analysis in Sparse Representation
A White-Noise-On-Jerk Motion Prior for Continuous-Time Trajectory Estimation on SE(3)
Self-supervised Multi-view Clustering in Computer Vision: A Survey
On the Fine-grained Complexity of One-Dimensional Dynamic Programming
Holographic Automata for Ambient Immersive A. I. via Reservoir Computing
A Full Image of the Wormhole Attacks - Towards Introducing Complex Wormhole Attacks in wireless Ad Hoc Networks
Incompressible flow modeling using an adaptive stabilized finite element method based on residual minimization
Convolutional Unscented Kalman Filter for Multi-Object Tracking with Outliers
Energy-Based Adaptive Multiple Access in LoRaWAN IoT Systems with Energy Harvesting
MARS: Optimizing Dual-System Deep Research via Multi-Agent Reinforcement Learning
Run-Time Safety Monitoring of Neural-Network-Enabled Dynamical Systems
Feature Engineering and Classification Models for Partial Discharge in Power Transformers
An LLM-based multi-agent framework for agile effort estimation
Automated Personalized Feedback Improves Learning Gains in an Intelligent Tutoring System
Accelerating Genome Sequence Analysis via Efficient Hardware/Algorithm Co-Design
An improved bound on sums of square roots via the subspace theorem
Enhancing short-term traffic prediction by integrating trends and fluctuations with attention mechanism
Residual Learning and Filtering Networks for End-to-End Lossless Video Compression
Hand-held Video Deblurring via Efficient Fourier Aggregation
Sparse Representation of a Blur Kernel for Blind Image Restoration
You Only Train Once: A Flexible Training Framework for Code Vulnerability Detection Driven by Vul-Vector
Distributed Consensus Network: A Modularized Communication Framework and Reliability Probabilistic Analysis
Learning Analytics from Spoken Discussion Dialogs in Flipped Classroom
Engineering Safety in Machine Learning
Shortest Paths in Less Than a Millisecond
Inducing Group Fairness in LLM-Based Decisions
Experimental Analysis and Evaluation of Cohesive Subgraph Discovery
Subsurface Boundary Geometry Modeling: Applying Computational Physics, Computer Vision and Signal Processing Techniques to Geoscience
BumbleBee: A Transformer for Music
Traffic Confirmation Attacks Despite Noise
Deep Ensembles: A Loss Landscape Perspective
Numerical Approximation of Gaussian random fields on Closed Surfaces
FASTer: Toward Efficient Autoregressive Vision Language Action Modeling via Neural Action Tokenization
Time-Dependent Network Topology Optimization for LEO Satellite Constellations
Optimal adaptive implicit time stepping
Minimal TSP Tour is coNP-Complete
A first look at the usability of bitcoin key management
A spring-block theory of feature learning in deep neural networks
Localized Estimation of Condition Numbers for MILU Preconditioners on a Graph
GPTIPS 2: an open-source software platform for symbolic data mining
Loop-Diffusion: an equivariant diffusion model for designing and scoring protein loops
Cops and Robbers on Toroidal Chess Graphs
Multi-task Neural Networks for QSAR Predictions
Dimensionally Homogeneous Jacobian using Extended Selection Matrix for Performance Evaluation and Optimization of Parallel Manipulators
Astock: A New Dataset and Automated Stock Trading based on Stock-specific News Analyzing Model
ORACLE: Occlusion-Resilient And self-Calibrating mmWave Radar Network for People Tracking
CCL4Rec: Contrast over Contrastive Learning for Micro-video Recommendation
KTbench: A Novel Data Leakage-Free Framework for Knowledge Tracing
The DataFlow System of the ATLAS Trigger and DAQ
How Human-Centered Explainable AI Interface Are Designed and Evaluated: A Systematic Survey
RoboCoder: Robotic Learning from Basic Skills to General Tasks with Large Language Models
Improper Filter Reduction
PCG-based Static Underground Garage Scenario Generation
Code2MCP: Transforming Code Repositories into MCP Services
Most central or least central? How much modeling decisions influence a node's centrality ranking in multiplex networks
Generalized Swing Control Framework for Inverter-based Resources
Weakly Supervised Instance Segmentation by Deep Multi-Task Community Learning
Digital Twin of a Network and Operating Environment Using Augmented Reality
SAIF: A Sparse Autoencoder Framework for Interpreting and Steering Instruction Following of Language Models
A simple and effective approach for body part recognition on CT scans based on projection estimation
A 60-Addition, Rank-23 Scheme for Exact 3x3 Matrix Multiplication
Constraint representation towards precise data-driven storytelling
Learning Stochastic Dynamics from Snapshots through Regularized Unbalanced Optimal Transport
Rational-WENO: A lightweight, physically-consistent three-point weighted essentially non-oscillatory scheme
A Markov Process Approach to Ensemble Control of Smart Buildings
EaDeblur-GS: Event assisted 3D Deblur Reconstruction with Gaussian Splatting
Throughput Maximizing Takeoff Scheduling for eVTOL Vehicles in On-Demand Urban Air Mobility Systems
Evaluating Multiple Instance Learning Strategies for Automated Sebocyte Droplet Counting
Investigating Transcription Normalization in the Faetar ASR Benchmark
Joint Power Allocation and Phase Shift Design for Stacked Intelligent Metasurfaces-aided Cell-Free Massive MIMO Systems with MARL
A Generalized Bisimulation Metric of State Similarity between Markov Decision Processes: From Theoretical Propositions to Applications
An Extension-Based Argument-Ranking Semantics: Social Rankings in Abstract Argumentation Long Version
Detecting and Approximating Redundant Computational Blocks in Neural Networks
How Do I Refactor This? An Empirical Study on Refactoring Trends and Topics in Stack Overflow
Neural Steerer: Novel Steering Vector Synthesis with a Causal Neural Field over Frequency and Source Positions
Labeling subtypes in a Parkinson's Cohort using Multifeatures in MRI - Integrating Grey and White Matter Information
Patience is all you need! An agentic system for performing scientific literature review
SHARCS: Shared Concept Space for Explainable Multimodal Learning
Explaining Why Things Go Where They Go: Interpretable Constructs of Human Organizational Preferences
CUP: A Conservative Update Policy Algorithm for Safe Reinforcement Learning
Approximating the 2-Machine Flow Shop Problem with Exact Delays Taking Two Values
Variational Inference for Uncertainty on the Inputs of Gaussian Process Models
Kitana: Efficient Data Augmentation Search for AutoML
You were saying? - Spoken Language in the V3C Dataset
Ethics of Open Data
Probabilistic Safety Verification for an Autonomous Ground Vehicle: A Situation Coverage Grid Approach
Better Understandings and Configurations in MaxSAT Local Search Solvers via Anytime Performance Analysis
On the Connection between Dynamical Optimal Transport and Functional Lifting
Learning a Lie Algebra from Unlabeled Data Pairs
parGeMSLR: A Parallel Multilevel Schur Complement Low-Rank Preconditioning and Solution Package for General Sparse Matrices
A Distributed Actor-Critic Algorithm for Fixed-Time Consensus in Nonlinear Multi-Agent Systems
Causal Shift-Response Functions with Neural Networks: The Health Benefits of Lowering Air Quality Standards in the US
How to Understand Named Entities: Using Common Sense for News Captioning
Deep Value Benchmark: Measuring Whether Models Generalize Deep Values or Shallow Preferences
A Side-by-side Comparison of Transformers for English Implicit Discourse Relation Classification
Fixed-relative-switch strategies for learning based event-triggered control of nonlinear multiagent systems
Misaligned from Within: Large Language Models Reproduce Our Double-Loop Learning Blindness
GETT-QA: Graph Embedding based T2T Transformer for Knowledge Graph Question Answering
Computing Inverses of Stieltjes Transforms of Probability Measures
A Comparative Study of Collaborative Filtering Algorithms
Concurrency Models with Causality and Events as Psi-calculi
A Gossip-based optimistic replication for efficient delay-sensitive streaming using an interactive middleware support system
Isoparametric Tangled Finite Element Method for Nonlinear Elasticity
LLMs can Schedule
Offline Policy Optimization with Eligible Actions
MonoMobility: Zero-Shot 3D Mobility Analysis from Monocular Videos
Logical foundations for hybrid type-logical grammars
Prompt-Induced Over-Generation as Denial-of-Service: A Black-Box Attack-Side Benchmark
GDLLM: A Global Distance-aware Modeling Approach Based on Large Language Models for Event Temporal Relation Extraction
Room Acoustic Rendering Networks with Control of Scattering and Early Reflections
Physics-Informed Bayesian Learning of Electrohydrodynamic Polymer Jet Printing Dynamics
Spatio-Temporal Shifting to Reduce Carbon, Water, and Land-Use Footprints of Cloud Workloads
Unleashing the Power of Electrocardiograms: A novel approach for Patient Identification in Healthcare Systems with ECG Signals
Probabilistic Machine Learning for Uncertainty-Aware Diagnosis of Industrial Systems
Qubit-Efficient Randomized Quantum Algorithms for Linear Algebra
Two-hidden-layer Feedforward Neural Networks are Universal Approximators: A Constructive Approach
Optimistic Higher-Order Superposition
Supervised Learning Using a Dressed Quantum Network with "Super Compressed Encoding": Algorithm and Quantum-Hardware-Based Implementation
D2RA: Dual Domain Regeneration Attack
Agent-RLVR: Training Software Engineering Agents via Guidance and Environment Rewards
Scardina: Scalable Join Cardinality Estimation by Multiple Density Estimators
Reliable Reasoning Path: Distilling Effective Guidance for LLM Reasoning with Knowledge Graphs
Correction of Electron Back-scattered Diffraction datasets using an evolutionary algorithm
Explorable Uncertainty in Scheduling with Non-Uniform Testing Times
DArFace: Deformation Aware Robustness for Low Quality Face Recognition
Deep Learning-based Robust Autonomous Navigation of Aerial Robots in Dense Forests
A Self-Adaptive Penalty Method for Integrating Prior Knowledge Constraints into Neural ODEs
Counting points with Riemann-Roch formulas
The second-price auction solves King Solomon's dilemma
AI-Driven Acoustic Voice Biomarker-Based Hierarchical Classification of Benign Laryngeal Voice Disorders from Sustained Vowels
CryptoRec: Secure Recommendations as a Service
Sorting With Forbidden Intermediates
Toward General Design Principles for Generative AI Applications
AIDE: An Automated Sample-based Approach for Interactive Data Exploration
SNR-aware Semantic Image Transmission with Deep Learning-based Channel Estimation in Fading Channels
On mobile sets in the binary hypercube
SlowTrack: Increasing the Latency of Camera-based Perception in Autonomous Driving Using Adversarial Examples
Open Research Knowledge Graph: Towards Machine Actionability in Scholarly Communication
Assembling the Proofs of Ordered Model Transformations
Statistical learning of spatiotemporal patterns from longitudinal manifold-valued networks
The Level Ancestor Problem in Practice
Centralized Adversarial Learning for Robust Deep Hashing
Fisher Information, Training and Bias in Fourier Regression Models
VQA and Visual Reasoning: An Overview of Recent Datasets, Methods and Challenges
Modelling and testing timed data-flow reactive systems in Coq from controlled natural-language requirements
No-Regret Reductions for Imitation Learning and Structured Prediction
From Images to Detection: Machine Learning for Blood Pattern Classification
Mathematical Foundations of Graph-Based Bayesian Semi-Supervised Learning
Credit Assignment in Adaptive Evolutionary Algorithms
MobIE: A German Dataset for Named Entity Recognition, Entity Linking and Relation Extraction in the Mobility Domain
Chained Tuning Leads to Biased Forgetting
YOLOv11-RGBT: Towards a Comprehensive Single-Stage Multispectral Object Detection Framework
Probabilistically Aligned View-unaligned Clustering with Adaptive Template Selection
An Architectural Design for Brokered Collaborative Content Delivery System
A Real-time Multimodal Transformer Neural Network-powered Wildfire Forecasting System
Lossless coding for distributed streaming sources
Physics-Driven Deep Learning for Computational Magnetic Resonance Imaging
MAPN: Enhancing Heterogeneous Sparse Graph Representation by Mamba-based Asynchronous Aggregation
The Modulo Radon Transform: Theory, Algorithms and Applications
Learning to Predict Blood Pressure with Deep Bidirectional LSTM Network
On a class of interdiction problems with partition matroids: complexity and polynomial-time algorithms
Fine-Grained Classroom Activity Detection from Audio with Neural Networks
AxonCallosumEM Dataset: Axon Semantic Segmentation of Whole Corpus Callosum cross section from EM Images
Multimodal Fusion Refiner Networks
Cognitive Networks and Performance Drive fMRI-Based State Classification Using DNN Models
An Annotation Scheme for Reichenbach's Verbal Tense Structure
Obfuscated Quantum and Post-Quantum Cryptography
Robustness Assessment of a Runway Object Classifier for Safe Aircraft Taxiing
Founding a mathematical diffusion model in linguistics. The case study of German syntactic features in the North-Eastern Italian dialects
VideoAds for Fast-Paced Video Understanding: Where Opensource Foundation Models Beat GPT-4o & Gemini-1.5 Pro
Ant Colony based Feature Selection Heuristics for Retinal Vessel Segmentation
On the Low SNR Capacity of Peak-Limited Non-Coherent Fading Channels with Memory
A Predictive Model for Student Performance in Classrooms Using Student Interactions With an eTextbook
Optimal tracking strategies in a turbulent flow
Mechanism Design for Social Good
Two-Stage Adaptive Pooling with RT-qPCR for COVID-19 Screening
Progressive Learning Algorithm for Efficient Person Re-Identification
Quasi-linear fractional-order operators in Lipschitz domains
CrossDiff: Exploring Self-Supervised Representation of Pansharpening via Cross-Predictive Diffusion Model
Detecting Propaganda on the Sentence Level during the COVID-19 Pandemic
SPRIG: Improving Large Language Model Performance by System Prompt Optimization
Prune2Edge: A Multi-Phase Pruning Pipelines to Deep Ensemble Learning in IIoT
Cooperative Transmission for Wireless Relay Networks Using Low-Rate Feedback
Survey of Recent Advances in Visual Question Answering
A Probabilistic Interpretation of Sampling Theory of Graph Signals
Polymer Informatics: Current Status and Critical Next Steps
Enabling Commercial Autonomous Space Robotic Explorers
Explicit Monotone Stable Super-Time-Stepping Methods for Finite Time Singularities
Tools for improving resilience of electric distribution systems with networked microgrids
Deep Clustering via Distribution Learning
Differential geometric bifurcation problems in pde2path - algorithms and tutorial examples
Effectiveness of Data Augmentation for Prefix Tuning with Limited Data
Context-Aware Local Differential Privacy
A Logspace Solution to the Word and Conjugacy problem of Generalized Baumslag-Solitar Groups
A World of Views: A World of Interacting Post-human Intelligences
Simulation of non-linear structural elastodynamic and impact problems using minimum energy and simultaneous diagonalization high-order bases
Self-supervised Single-view 3D Reconstruction via Semantic Consistency
Virtual, Augmented, and Mixed Reality for Human-Robot Interaction: A Survey and Virtual Design Element Taxonomy
A Probably Approximately Correct Answer to Distributed Stochastic Optimization in a Non-stationary Environment
Learning to Play Air Hockey with Model-Based Deep Reinforcement Learning
Sparkle Vision: Seeing the World through Random Specular Microfacets
New ID Based Multi-Proxy Multi-Signcryption Scheme from Pairings
Reasoning Scaffolding: Distilling the Flow of Thought from LLMs
Bidimensional linked matrix factorization for pan-omics pan-cancer analysis
FreeBSD Mandatory Access Control Usage for Implementing Enterprise Security Policies
Preference-based Reinforcement Learning beyond Pairwise Comparisons: Benefits of Multiple Options
Composer: Visual Cohort Analysis of Patient Outcomes
Selection of a Minimal Number of Significant Porcine SNPs by an Information Gain and Genetic Algorithm Hybrid Model
Model adaptation for hyperbolic balance laws
Fiduciary AI for the Future of Brain-Technology Interactions
A Frequency And Phase Attention Based Deep Learning Framework For Partial Discharge Detection On Insulated Overhead Conductors
Error analysis for probabilities of rare events with approximate models
A Weakly-Supervised Depth Estimation Network Using Attention Mechanism
Semi-Streaming Bipartite Matching in Fewer Passes and Less Space
How to Protect Yourself from 5G Radiation? Investigating LLM Responses to Implicit Misinformation
Bit-wise Training of Neural Network Weights
LEARN: A Unified Framework for Multi-Task Domain Adapt Few-Shot Learning
Detecting Forged Kerberos Tickets in an Active Directory Environment
Detecting Stylistic Fingerprints of Large Language Models
Embodying computation in nonlinear perturbative metamaterials
Clubs and their applications
Can LLMs Threaten Human Survival? Benchmarking Potential Existential Threats from LLMs via Prefix Completion
Minimum-Weight Parity Factor Decoder for Quantum Error Correction
A Longitudinal View at the Adoption of Multipath TCP
Semantic Latent Space Regression of Diffusion Autoencoders for Vertebral Fracture Grading
Estimating collective judgement of rumours in social media
Semantic Frame Aggregation-based Transformer for Live Video Comment Generation
Random Matrix Model for Nakagami-Hoyt Fading
ALIGN: Word Association Learning for Cross-Cultural Generalization in Large Language Models
A model of figure ground organization incorporating local and global cues
Effects of Time Horizons on Influence Maximization in the Voter Dynamics
Collaborative Personalized Web Recommender System using Entropy based Similarity Measure
On the Capacity of Level and Type Modulation in Molecular Communication with Ligand Receptors
Generating Adversarial Examples in Chinese Texts Using Sentence-Pieces
Real-Time Optical Flow for Vehicular Perception with Low- and High-Resolution Event Cameras
Policy Design in Long-Run Welfare Dynamics
Automated Discovery of Integral with Deep Learning
Finding and counting permutations via CSPs
CFGPT: Chinese Financial Assistant with Large Language Model
Stream Fusion, to Completeness
Quantum Computing Enhanced Distance-Minimizing Data-Driven Computational Mechanics
A Mathematical Philosophy of Explanations in Mechanistic Interpretability - The Strange Science Part I.i
PANGUBOT: Efficient Generative Dialogue Pre-training from Pre-trained Language Model
ECN verbose mode: a statistical method for network path congestion estimation
Multi-user protocols with access control for computational privacy in public clouds
Comparative Analysis of Procedural Planet Generators
Downlink Achievable Rate Analysis in Massive MIMO Systems with One-Bit DACs
Case-based Reasoning Augmented Large Language Model Framework for Decision Making in Realistic Safety-Critical Driving Scenarios
GS-Pose: Cascaded Framework for Generalizable Segmentation-based 6D Object Pose Estimation
Rethinking Few-Shot Image Classification: a Good Embedding Is All You Need?
Closed-form Inference and Prediction in Gaussian Process State-Space Models
Mesh-Guided Neural Implicit Field Editing
FLEKE: Federated Locate-then-Edit Knowledge Editing
Automated Formal Verification of a Highly-Configurable Register Generator
Elevating the future of mobility: UAV-enabled Intelligent Transportation Systems
Segmented Private Data Aggregation in the Multi-message Shuffle Model
ProAV-DiT: A Projected Latent Diffusion Transformer for Efficient Synchronized Audio-Video Generation
A Bi-channel Aided Stitching of Atomic Force Microscopy Images
Hierarchical Multi Task Learning With CTC
On Two Conjectures about Permutation Trinomials over F 3 2k
Stochastic Modeling of Road Hazards on Intersections and their Effect on Safety of Autonomous Vehicles
Abn-BLIP: Abnormality-aligned Bootstrapping Language-Image Pre-training for Pulmonary Embolism Diagnosis and Report Generation from CTPA
Iso-CapsNet: Isomorphic Capsule Network for Brain Graph Representation Learning
EfficientMT: Efficient Temporal Adaptation for Motion Transfer in Text-to-Video Diffusion Models