yusuke1997/dblp-id-title huggingface dataset:
CardBench: A Benchmark for Learned Cardinality Estimation in Relational Databases
CLAP: Clustering to Localize Across n Possibilities, A Simple, Robust Geometric Approach in the Presence of Symmetries
Semantic Information Measure with Two Types of Probability for Falsification and Confirmation
Significant Interval and Frequent Pattern Discovery in Web Log Data
A Benchmark Dataset for Understandable Medical Language Translation
Do Smaller Language Models Answer Contextualised Questions Through Memorisation Or Generalisation?
Development of an interactive GUI using MATLAB for the detection of type and stage of Breast Tumor
ABIDES: Towards High-Fidelity Market Simulation for AI Research
Spot Risks Before Speaking! Unraveling Safety Attention Heads in Large Vision-Language Models
Your Neighbors Are Communicating: Towards Powerful and Scalable Graph Neural Networks
4K 1 -free graph with the cop number 3
$(1 + \varepsilon)$-class Classification: an Anomaly Detection Method for Highly Imbalanced or Incomplete Data Sets
Catalyzing Clinical Diagnostic Pipelines Through Volumetric Medical Image Segmentation Using Deep Neural Networks: Past, Present, & Future
Nonlocal Stokes equation with relaxation on the divergence free equation
A Novel Ontology-guided Attribute Partitioning Ensemble Learning Model for Early Prediction of Cognitive Deficits using Quantitative Structural MRI in Very Preterm Infants
Towards Automatic Comparison of Data Privacy Documents: A Preliminary Experiment on GDPR-like Laws
A Well Balanced Reconstruction with Bounded Velocities and Low-Oscillation Slow Shocks for the Shallow Water Equations
A Computational Approach for Checking Compliance with European View and Sunlight Exposure Criteria
Estranged Predictions: Measuring Semantic Category Disruption with Masked Language Modelling
Introducing DeepBalance: Random Deep Belief Network Ensembles to Address Class Imbalance
A new threshold model based on tropical mathematics reveals network backbones
Spectrally Efficient LDPC Codes For IRIG-106 Waveforms via Random Puncturing
Interval Bound Propagation-aided Few-shot Learning
A finite-sample generalization bound for stable LPV systems
Uncertainty-Aware Safety-Critical Decision and Control for Autonomous Vehicles at Unsignalized Intersections
Learning from Limited and Imperfect Data
An Empirical Study on End-to-End Singing Voice Synthesis with Encoder-Decoder Architectures
Blind Adaptive Local Denoising for CEST Imaging
Transaction Support over Redis: An Overview
LapEPI-Net: A Laplacian Pyramid EPI structure for Learning-based Dense Light Field Reconstruction
Real-Time LiDAR Point Cloud Compression and Transmission for Resource-constrained Robots
Enhancement of power grid monitoring based on data weighting
Linear Bounded Composition of Tree-Walking Tree Transducers: Linear Size Increase and Complexity
Covariance matrix preparation for quantum principal component analysis
FSGS: Real-Time Few-shot View Synthesis using Gaussian Splatting
DP-KB: Data Programming with Knowledge Bases Improves Transformer Fine Tuning for Answer Sentence Selection
Scheduling Algorithms for Age of Information Differentiation with Random Arrivals
An Improved Transmission Switching Algorithm for Managing Post-(N-1) Contingency Violations in Electricity Networks
Mutual Coinduction
A coding theoretic study of homogeneous Markovian predictive games
Modeling Populations of Thermostatic Loads with Switching Rate Actuation
Beyond object identification: How train drivers evaluate the risk of collision
Topological optimization of hybrid quantum key distribution networks
Stock Trading Using PE ratio: A Dynamic Bayesian Network Modeling on Behavioral Finance and Fundamental Investment
Multistream neural architectures for cued-speech recognition using a pre-trained visual feature extractor and constrained CTC decoding
Pavlovian Signalling with General Value Functions in Agent-Agent Temporal Decision Making
Simple linear algorithms for mining graph cores
Generator-Assistant Stepwise Rollback Framework for Large Language Model Agent
Stochastic High Fidelity Autonomous Fixed Wing Aircraft Flight Simulator
Indirect social learning through collective performance favors decentralization
Maximizing Diversity for Multimodal Optimization
A Survey on Class Imbalance in Federated Learning
Revisiting the Effect of Grid-Following Converter on Frequency Dynamics - Part I: Center of Inertia
SparseAccelerate: Efficient Long-Context Inference for Mid-Range GPUs
VFlow: Discovering Optimal Agentic Workflows for Verilog Generation
Web-based Application for Detecting Indonesian Clickbait Headlines using IndoBERT
Touch2Touch: Cross-Modal Tactile Generation for Object Manipulation
Model Learning: A Survey on Foundation, Tools and Applications
DeH4R: A Decoupled and Hybrid Method for Road Network Graph Extraction
Unsupervised Domain Adaptive Salient Object Detection Through Uncertainty-Aware Pseudo-Label Learning
Bringing Blurry Alive at High Frame-Rate with an Event Camera
Attention-Enhanced Cross-Task Network for Analysing Multiple Attributes of Lung Nodules in CT
Intelligent Robotic Sonographer: Mutual Information-based Disentangled Reward Learning from Few Demonstrations
Preferential Attachment Model with Degree Bound and its Application to Key Predistribution in WSN
Gradient-based Bi-level Optimization for Deep Learning: A Survey
Unlocking User-oriented Pages: Intention-driven Black-box Scanner for Real-world Web Applications
Text Characterization Toolkit
UniHOI: Unified Human-Object Interaction Understanding via Unified Token Space
Comparison of a Head-Mounted Display and a Curved Screen in a Multi-Talker Audiovisual Listening Task
Enhancing Joint Human-AI Inference in Robot Missions: A Confidence-Based Approach
Machine Learning with Knowledge Constraints for Process Optimization of Open-Air Perovskite Solar Cell Manufacturing
Augmented Message Passing Stein Variational Gradient Descent
Deep neuroevolution for limited, heterogeneous data: proof-of-concept application to Neuroblastoma brain metastasis using a small virtual pooled image collection
Manifold Assumption and Defenses Against Adversarial Perturbations
Caccioppoli-type estimates and H-Matrix approximations to inverses for FEM-BEM couplings
Software-Defined Network Controlled Switching between Millimeter Wave and Terahertz Small Cells
Navigate the Unknown: Enhancing LLM Reasoning with Intrinsic Motivation Guided Exploration
Graph Neural Networks as Gradient Flows
Vision Transformer-based Semantic Communications With Importance-Aware Quantization
Group Communication Analysis: A Computational Linguistics Approach for Detecting Sociocognitive Roles in Multi-Party Interactions
SmartX Intelligent Sec: A Security Framework Based on Machine Learning and eBPF/XDP
V-STaR: Training Verifiers for Self-Taught Reasoners
Semi-supervised Viewpoint Estimation with Geometry-aware Conditional Generation
Eternagram: Probing Player Attitudes in Alternate Climate Scenarios Through a ChatGPT-Driven Text Adventure
Multi-Agent Online Control with Adversarial Disturbances
Improving GPU Multi-Tenancy Through Dynamic Multi-Instance GPU Reconfiguration
Exploiting Language Relatedness in Machine Translation Through Domain Adaptation Techniques
TrafficSim: Learning to Simulate Realistic Multi-Agent Behaviors
Fuzzy Attention-based Border Rendering Network for Lung Organ Segmentation
Speaker De-identification System using Autoencodersand Adversarial Training
Towards automation of threat modeling based on a semantic model of attack patterns and weaknesses
TriResNet: A Deep Triple-stream Residual Network for Histopathology Grading
Cell2Text: Multimodal LLM for Generating Single-Cell Descriptions from RNA-Seq Data
Source codes in human communication
Deficiency-Aware Masked Transformer for Video Inpainting
Combining Nonlinear FETI-DP Methods and Quasi-Newton Methods using an SQP Approach
MESURE Tool to benchmark Java Card platforms
Breaking (Global) Barriers in Parallel Stochastic Optimization with Wait-Avoiding Group Averaging
LXPER Index 2.0: Improving Text Readability Assessment for L2 English Learners in South Korea
Infrequent adverse event prediction in low carbon energy production using machine learning
Bresa: Bio-inspired Reflexive Safe Reinforcement Learning for Contact-Rich Robotic Tasks
Face Forgery Detection with Elaborate Backbone
Estimation of Corporate Greenhouse Gas Emissions via Machine Learning
Black-box error diagnosis in deep neural networks: a survey of tools
UATTA-ENS: Uncertainty Aware Test Time Augmented Ensemble for PIRC Diabetic Retinopathy Detection
PROFET: Profiling-based CNN Training Latency Prophet for GPU Cloud Instances
Nash equilibrium seeking over digraphs with row-stochastic matrices and network-independent step-sizes
A Bayesian Approach to (Online) Transfer Learning: Theory and Algorithms
Participatory Budgeting with Cumulative Votes
Optimal Power Control for Concurrent Transmissions of Location-aware Mobile Cognitive Radio Ad Hoc Networks
Bridging the Clinical Expertise Gap: Development of a Web-Based Platform for Accessible Time Series Forecasting and Analysis
Academic Case Reports Lack Diversity: Assessing the Presence and Diversity of Sociodemographic and Behavioral Factors related to Post COVID-19 Condition
Hyperspectral and Multispectral Image Fusion based on a Sparse Representation
Scalable Graph Attention-based Instance Selection via Mini-Batch Sampling and Hierarchical Hashing
An integral-transform approach to the bioheat transfer problems in magnetic hyperthermia
Geometric Structure Aided Visual Inertial Localization
Do Machine Learning Models Learn Common Sense?
Parameter Averaging for Robust Explainability
Solving large Minimum Vertex Cover problems on a quantum annealer
Federated Reconnaissance: Efficient, Distributed, Class-Incremental Learning
Semi-Supervised Noisy Student Pre-training on EfficientNet Architectures for Plant Pathology Classification
Releasing Differentially Private Event Logs Using Generative Models
An Estimator for the Sensitivity to Perturbations of Deep Neural Networks
Doing More with Less - Implementing Routing Strategies in Large Language Model-Based Systems: An Extended Survey
Deep Reinforcement Learning Based Multi-Access Edge Computing Schedule for Internet of Vehicle
Understanding Read-Write Wait-Free Coverings in the Fully-Anonymous Shared-Memory Model
Learning to Plan Long-Term for Language Modeling
Automated Machine Learning for Unsupervised Tabular Tasks
Learning Neural Network Safe Tracking Controllers from Backward Reachable Sets
Memetic search for identifying critical nodes in sparse graphs
Remote Recording of Emotional and Activity Data: A Methodological Study
Similarity-Distance-Magnitude Universal Verification
Single-Shot Multi-Person 3D Body Pose Estimation From Monocular RGB Input
H-SLAM: Hybrid Direct-Indirect Visual SLAM
Differentiable Constraint-Based Causal Discovery
Pulsar: A Superconducting Delay-Line Memory
Optimizing Uterine Synchronization Analysis in Pregnancy and Labor through Window Selection and Node Optimization
A cautionary tale on the cost-effectiveness of collaborative AI in real-world medical applications
Low-Complexity Sphere Decoding of Polar Codes based on Optimum Path Metric
Hardware Based Projection onto The Parity Polytope and Probability Simplex
Relations between semantic security and indistinguishability against cpa, non-adaptive cca and adaptive cca in comparison based framework
Advancing Face-to-Face Emotion Communication: A Multimodal Dataset (AFFEC)
Design and Approach of Team IHMC in the 2016 Cybathlon
Reservoir Computers Modal Decomposition and Optimization
A Solution to Fastest Distributed Consensus Problem for Generic Star & K-cored Star Networks
Proof-of-Reputation: An Alternative Consensus Mechanism for Blockchain Systems
On Nonlinear Prices in Timed Automata
A novel display for situational awareness at a network operations center
Depthwise Separable Convolutional ResNet with Squeeze-and-Excitation Blocks for Small-footprint Keyword Spotting
NeuroInspect: Interpretable Neuron-based Debugging Framework through Class-conditional Visualizations
End-to-end Recovery of Human Shape and Pose
Sequence models for by-trial decoding of cognitive strategies from neural data
Modeling the heterogeneous disease-behavior-information dynamics during epidemics
Deep Sets for Generalization in RL
CuRIAM: Corpus re Interpretation and Metalanguage in U.S. Supreme Court Opinions
MergeQuant: Accurate 4-bit Static Quantization of Large Language Models by Channel-wise Calibration
On feature selection and evaluation of transportation mode prediction strategies
The difference between memory and prediction in linear recurrent networks
MedEqualizer: A Framework Investigating Bias in Synthetic Medical Data and Mitigation via Augmentation
Flexibility aggregation via set projection for distribution grids with multiple interconnections
RLGS: Reinforcement Learning-Based Adaptive Hyperparameter Tuning for Gaussian Splatting
Robust Steady State Analysis of the Power Grid
Prototyping "Systems that Explain Themselves" for Education
Certified Lower Bounds of Roundoff Errors using Semidefinite Programming
How to Find Fantastic Papers: Self-Rankings as a Powerful Predictor of Scientific Impact Beyond Peer Review
AirFi: Empowering WiFi-based Passive Human Gesture Recognition to Unseen Environment via Domain Generalization
Deformable Registration Framework for Augmented Reality-based Surgical Guidance in Head and Neck Tumor Resection
Clustering Wi-Fi Fingerprints for Indoor-Outdoor Detection
Reconstruction of the Density Power Spectrum from Quasar Spectra using Machine Learning
FedRecon: Missing Modality Reconstruction in Distributed Heterogeneous Environments
From Physics to Foundation Models: A Review of AI-Driven Quantitative Remote Sensing Inversion
Bridging Cache-Friendliness and Concurrency: A Locality-Optimized In-Memory B-Skiplist
CAIRe: Cultural Attribution of Images by Retrieval-Augmented Evaluation
ZT-RIC:A Zero Trust RIC Framework for ensuring data Privacy and Confidentiality in Open RAN
InClass Nets: Independent Classifier Networks for Nonparametric Estimation of Conditional Independence Mixture Models and Unsupervised Classification
Resilient Watermarking for LLM-Generated Codes
MedGEN-Bench: Contextually entangled benchmark for open-ended multimodal medical generation
DGEMM without FP64 Arithmetic - Using FP64 Emulation and FP8 Tensor Cores with Ozaki Scheme
Distributed State Estimation in Power System Using Belief Propagation: Algorithms and Performance
Optimal Forwarding in Opportunistic Delay Tolerant Networks with Meeting Rate Estimations
"To Survive, I Must Defect": Jailbreaking LLMs via the Game-Theory Scenarios
Towards a single proposal is spelling correction
Era Splitting - Invariant Learning for Decision Trees
Training Opportunities for Intelligent Transport Systems and Cooperative Intelligent Transport Systems
HyPlaneHead: Rethinking Tri-plane-like Representations in Full-Head Image Synthesis
A Dissipation Theory for Potentials-Based FDTD for Lossless Inhomogeneous Media
Federated Learning with Nesterov Accelerated Gradient Momentum Method
Nested Sequents for Quasi-transitive Modal Logics
DecoHD: Decomposed Hyperdimensional Classification under Extreme Memory Budgets
The seismic purifier: An unsupervised approach to seismic signal detection via representation learning
On the Decision Number of Graphs
Scalar and Tensor Parameters for Importing the Notation in Differential Geometry into Programming
A splitting Hamiltonian Monte Carlo method for efficient sampling
The Rise of Internet of Things (IoT) in Big Healthcare Data: Review and Open research Issues
Unreasonable effectiveness of Monte Carlo
Design Your Own Universe: A Physics-Informed Agnostic Method for Enhancing Graph Neural Networks
Interpretable Feature Engineering for Time Series Predictors using Attention Networks
Task-conditioned adaptation of visual features in multi-task policy learning
A Concentration Bound for TD(0) with Function Approximation
Matched-Pair Experimental Design with Active Learning
Intelligent Device Used by an Infotmation System for Identifying and Monitoring of Patients
Graph4Code: A Machine Interpretable Knowledge Graph for Code
Data Petri Nets meet Probabilistic Programming (Extended version)
Revisiting Human Information Foraging: Adaptations for LLM-based Chatbots
Hacking Hallucinations of MLLMs with Causal Sufficiency and Necessity
AdaptCL: Efficient Collaborative Learning with Dynamic and Adaptive Pruning
Programmable Locking Cells (PLC) for Modular Robots with High Stiffness Tunability and Morphological Adaptability
Towards a Flexible Intra-Trustcenter Management Protocol
Common Knowledge on Networks
Vectorized Representation Dreamer (VRD): Dreaming-Assisted Multi-Agent Motion-Forecasting
Reducing computational effort in topology optimization considering the deformation in additive manufacturing
TableEval: A Real-World Benchmark for Complex, Multilingual, and Multi-Structured Table Question Answering
WorkflowHub: a registry for computational workflows
The optimal drawings of K_{5,n}
Causal Synthetic Data Generation in Recruitment
EVINCE: Optimizing Adversarial LLM Dialogues via Conditional Statistics and Information Theory
Bayesian Patchworks: An Approach to Case-Based Reasoning
Fast Construction of Correcting Ensembles for Legacy Artificial Intelligence Systems: Algorithms and a Case Study
Actuation without production bias
Sorting Networks On Restricted Topologies
Rate Distortion for Lossy In-network Function Computation: Information Dissipation and Sequential Reverse Water-Filling
Robust Path Planning via Learning from Demonstrations for Robotic Catheters in Deformable Environments
Towards a Distributed Quantum Computing Ecosystem
Foundation Visual Encoders Are Secretly Few-Shot Anomaly Detectors
Smart Transmission Network Emergency Control
The Role of User Profile for Fake News Detection
Transformers and CNNs both Beat Humans on SBIR
eegFloss: A Python package for refining sleep EEG recordings using machine learning models
Edit Distance based RL for RNNT decoding
DIRECTOR: Generator-Classifiers For Supervised Language Modeling
SoK: Unifying Cybersecurity and Cybersafety of Multimodal Foundation Models with an Information Theory Approach
SepAl: Sepsis Alerts On Low Power Wearables With Digital Biomarkers and On-Device Tiny Machine Learning
Optimizing ccNUMA locality for task-parallel execution under OpenMP and TBB on multicore-based systems
Towards Hetero-Client Federated Multi-Task Learning
SAFEVM: A Safety Verifier for Ethereum Smart Contracts
Small-Footprint Open-Vocabulary Keyword Spotting with Quantized LSTM Networks
From Text to Transformation: A Comprehensive Review of Large Language Models' Versatility
Multi-view Consistency as Supervisory Signal for Learning Shape and Pose Prediction
Information Theoretical Analysis of Identification based on Active Content Fingerprinting
Optimal Timer Based Selection Schemes
Rethinking Software Engineering in the Foundation Model Era: From Task-Driven AI Copilots to Goal-Driven AI Pair Programmers
From Flat to Feeling: A Feasibility and Impact Study on Dynamic Facial Emotions in AI-Generated Avatars
Characterizing the community structure of complex networks
DeXposure: A Dataset and Benchmarks for Inter-protocol Credit Exposure in Decentralized Financial Networks
Spiritus: An AI-Assisted Tool for Creating 2D Characters and Animations
Design and Optimization of a Metamaterial Absorber for Solar Energy Harvesting in the THz Frequency Range
AI Powered Road Network Prediction with Multi-Modal Data
Distributed Optimization of Bivariate Polynomial Graph Spectral Functions via Subgraph Optimization
On Stochastic Belief Revision and Update and their Combination
Subnetwork enumeration algorithms for multilayer networks
No-reference denoising of low-dose CT projections
Tropical polar cones, hypergraph transversals, and mean payoff games
Interactive Visualisation of Hierarchical Quantitative Data: an Evaluation
Optimal information rate of secret sharing schemes on trees
Edit and verify
Stable In-hand Manipulation with Finger Specific Multi-agent Shadow Reward
A Uniform Approach to Maximal Permissiveness in Modular Control of Discrete-Event Systems
InternVL: Scaling up Vision Foundation Models and Aligning for Generic Visual-Linguistic Tasks
DC3DCD: unsupervised learning for multiclass 3D point cloud change detection
Emergence of specialized Collective Behaviors in Evolving Heterogeneous Swarms
Self-Supervised Training For Low Dose CT Reconstruction
Towards an Automatic System for Extracting Planar Orientations from Software Generated Point Clouds
Matrix Equations, Sparse Solvers: M-M.E.S.S.-2.0.1 - Philosophy, Features and Application for (Parametric) Model
SensorChat: Answering Qualitative and Quantitative Questions during Long-Term Multimodal Sensor Interactions
Dynamic Rank Reinforcement Learning for Adaptive Low-Rank Multi-Head Self Attention in Large Language Models
Blackboard Rules for Coordinating Context-aware Applications in Mobile Ad Hoc Networks
Graphs with no induced wheel or antiwheel
Equity through Access: A Case for Small-scale Deep Learning
Investigating the Impact of Cross-lingual Acoustic-Phonetic Similarities on Multilingual Speech Recognition
Discriminative Multimodal Learning via Conditional Priors in Generative Models
An Effective Decision Procedure for Linear Arithmetic with Integer and Real Variables
Improving Generalization Ability for 3D Object Detection by Learning Sparsity-invariant Features
Small, Fast, Concurrent Proof Checking for the lambda-Pi Calculus Modulo Rewriting
Causal Feature Learning in the Social Sciences
Improved distance queries in planar graphs
DeepOPF-AL: Augmented Learning for Solving AC-OPF Problems with Multiple Load-Solution Mappings
RescueADI: Adaptive Disaster Interpretation in Remote Sensing Images with Autonomous Agents
Random Forest Classifier Based Prediction of Rogue waves on Deep Oceans
Stochastic Differential Equations models for Least-Squares Stochastic Gradient Descent
A Cross-Domain Approach for Continuous Impression Recognition from Dyadic Audio-Visual-Physio Signals
Extension and comparison of techniques to enforce boundary conditions in Finite Volume POD-Galerkin reduced order models for fluid dynamic problems
Randomized Complexity of Vector-Valued Approximation
PERFECT: Prompt-free and Efficient Few-shot Learning with Language Models
Workload-Driven Vertical Partitioning for Effective Query Processing over Raw Data
A Scalable Test Suite for Continuous Dynamic Multiobjective Optimisation
Nonlinear simulation of an elastic tumor-host interface
PhishGuard: A Multi-Layered Ensemble Model for Optimal Phishing Website Detection
An Automated Compatibility Prediction Engine using DISC Theory Based Classification and Neural Networks
MIMO Capacity Analysis and Channel Estimation for Electromagnetic Information Theory
Hole Detection and Healing in Hybrid Sensor Networks
Emotion Detection From Social Media Posts
Enhancing Light Extraction of Organic Light Emitting Diodes by Deep-Groove High-index Dielectric Nanomesh Using Large-area Nanoimprint
Quality-Aware Framework for Video-Derived Respiratory Signals
End-to-end neural network approach to 3D reservoir simulation and adaptation
High-Fidelity RF Mapping: Assessing Environmental Modeling in 6G Network Digital Twins
A Nonlinear Lateral Controller Design for Vehicle Path-following with an Arbitrary Sensor Location
Topology-Dependent Privacy Bound For Decentralized Federated Learning
Continual Invariant Risk Minimization
CodexDB: Generating Code for Processing SQL Queries using GPT-3 Codex
Imperceptible CMOS camera dazzle for adversarial attacks on deep neural networks
Convex integer optimization with Frank-Wolfe methods
Quadratic Time-Frequency Analysis of Vibration Signals for Diagnosing Bearing Faults
DAVE: Diagnostic benchmark for Audio Visual Evaluation
Voice Filter: Few-shot text-to-speech speaker adaptation using voice conversion as a post-processing module
Computability questions in the sphere packing problem
Meta-level issues in Offloading: Scoping, Composition, Development, and their Automation
On the Bee-Identification Error Exponent with Absentee Bees
Spatially regularized reconstruction of fibre orientation distributions in the presence of isotropic diffusion