yusuke1997/dblp-id-title huggingface dataset:
Test Case Purification for Improving Fault Localization
LANGTRAJ: Diffusion Model and Dataset for Language-Conditioned Trajectory Simulation
BARS: A Benchmark for Airport Runway Segmentation
Image Anything: Towards Reasoning-coherent and Training-free Multi-modal Image Generation
Horoballs and the subgradient method
Permutation invariant multi-output Gaussian Processes for drug combination prediction in cancer
Unified Tool Integration for LLMs: A Protocol-Agnostic Approach to Function Calling
Exponential polynomials and identification of polygonal regions from Fourier samples
InferGrad: Improving Diffusion Models for Vocoder by Considering Inference in Training
Boundary-Aware Value Function Generation for Safe Stochastic Motion Planning
Differentiable Information Bottleneck for Deterministic Multi-view Clustering
Score Function Features for Discriminative Learning
A high-order discontinuous Galerkin method for the numerical modeling of epileptic seizures
Liner Shipping Network Design with Reinforcement Learning
Real-time safety assessment of trajectories for autonomous driving
Deterministic Construction of Binary, Bipolar and Ternary Compressed Sensing Matrices
Team Selection For Prediction Tasks
Comparing Llama-2 and GPT-3 LLMs for HPC kernels generation
ShadowBlock: Efficient Dynamic Anonymous Blocklisting and Its Cross-chain Application
Video Interpolation via Generalized Deformable Convolution
Sparse Recovery with Very Sparse Compressed Counting
Implementing SCRUM to develop a connected robot
A New Refinement-Free Preconditioner for the Symmetric Formulation in Electroencephalography
Structure-Aware NeRF without Posed Camera via Epipolar Constraint
Exploring the socio-technical interplay of Industry 4.0: a single case study of an Italian manufacturing organisation
Review and Perspective for Distance Based Trajectory Clustering
Semi-supervised Neural Networks solve an inverse problem for modeling Covid-19 spread
Control Lyapunov-Barrier Function Based Model Predictive Control for Stochastic Nonlinear Affine Systems
The Interplay between Human and Machine Agency
Facies Classification with Copula Entropy
Diffusion Model for Data-Driven Black-Box Optimization
Variational Fusion for Multimodal Sentiment Analysis
On the security of a class of diffusion mechanisms for image encryption
Optimizing Binary Symptom Checkers via Approximate Message Passing
Red Teaming the Mind of the Machine: A Systematic Evaluation of Prompt Injection and Jailbreak Vulnerabilities in LLMs
An Investigation of the Sampling-Based Alignment Method and Its Contributions
"Zero Cost" Majority Attacks on Permissionless Blockchains
Just-DREAM-about-it: Figurative Language Understanding with DREAM-FLUTE
Factoring Differential Operators in n Variables
Mining Objects: Fully Unsupervised Object Discovery and Localization From a Single Image
Testing Question Answering Software with Context-Driven Question Generation
Weak form Shallow Ice Approximation models with an improved time step restriction
A nonlinear hyperelasticity model for single layer blue phosphorus based on ab-initio calculations
Flow Matching with Semidiscrete Couplings
Volatility Modeling via EWMA-Driven Time-Dependent Hurst Parameters
Improving LLM Agent Planning with In-Context Learning via Atomic Fact Augmentation and Lookahead Search
Critical Clearing Time Sensitivity for Differential-Algebraic Power System Model
Uniform Cyclic Group Factorizations of Finite Groups
The Strategic Imperative for Healthcare Organizations to Build Proprietary Foundation Models
Depth Completion using Plane-Residual Representation
Nominal Abstraction
Distributed Pinning Control Design for Probabilistic Boolean Networks
Learning across Data Owners with Joint Differential Privacy
Classifying Scientific Publications with BERT - Is Self-Attention a Feature Selection Method?
KSAT: Knowledge-infused Self Attention Transformer - Integrating Multiple Domain-Specific Contexts
Uncertainty-Aware Variational Information Pursuit for Interpretable Medical Image Analysis
A Fast Fourier-Galerkin Method for Solving Boundary Integral Equations on Torus-Shaped Surfaces
Algebraic and Geometric Characterizations Related to the Quantization Problem of the C 2, 8 Channel
Human-Like Goalkeeping in a Realistic Football Simulation: a Sample-Efficient Reinforcement Learning Approach
AOTree: Aspect Order Tree-based Model for Explainable Recommendation
Completely Independent Spanning Trees in Some Regular Graphs
Bitcoin Price Prediction: An ARIMA Approach
Java Extensions for OMNeT++
Time Series Segmentation through Automatic Feature Learning
Abstract Weighted Based Gradual Semantics in Argumentation Theory
Structure Selection of Polynomial NARX Models using Two Dimensional (2D) Particle Swarms
The Impact of Feature Representation on the Accuracy of Photonic Neural Networks
Efficient Adaptive Implementation of the Serial Schedule Generation Scheme using Preprocessing and Bloom Filters
FLAF: Focal Line and Feature-constrained Active View Planning for Visual Teach and Repeat
Revisiting the UID Hypothesis in LLM Reasoning Traces
Object-Attentional Untargeted Adversarial Attack
WKGM: Weight-K-space Generative Model for Parallel Imaging Reconstruction
Implementation Of MNIST Dataset Learning Using Analog Circuit
Non-Saturated Throughput Analysis of Coexistence of Wi-Fi and Cellular With Listen-Before-Talk in Unlicensed Spectrum
Lares: LLM-driven Code Slice Semantic Search for Patch Presence Testing
A fully automated framework for lung tumour detection, segmentation and analysis
Counterfactual Probing for the influence of affect and specificity on Intergroup Bias
One For All: LLM-based Heterogeneous Mission Planning in Precision Agriculture
Secret Share Dissemination across a Network
A characterization for an almost MDS code to be a near MDS code and a proof of the Geng-Yang-Zhang-Zhou conjecture
FretNet: Continuous-Valued Pitch Contour Streaming for Polyphonic Guitar Tablature Transcription
The Read-Optimized Burrows-Wheeler Transform
Automated Approach to Improve IoT Privacy Policies
Keyhole and Reflection Effects in Network Connectivity Analysis
Where is the Grass Greener? Revisiting Generalized Policy Iteration for Offline Reinforcement Learning
Physical Simulation for Multi-agent Multi-machine Tending
Partial Differential Equations is All You Need for Generating Neural Architectures - A Theory for Physical Artificial Intelligence Systems
On the Economic Significance of Ransomware Campaigns: A Bitcoin Transactions Perspective
An exploratory study of L1-specific non-words
Neural Fields for Fast and Scalable Interpolation of Geophysical Ocean Variables
Dynamic Convolutional Neural Networks as Efficient Pre-trained Audio Models
Randomized Numerical Linear Algebra : A Perspective on the Field With an Eye to Software
Framework for disruptive AI/ML Innovation
SensorSCAN: Self-Supervised Learning and Deep Clustering for Fault Diagnosis in Chemical Processes
Capacity dependent analysis for functional online learning algorithms
An Empirical Study On Contrastive Search And Contrastive Decoding For Open-ended Text Generation
The nonconforming Crouzeix-Raviart element approximation and two-grid discretizations for the elastic eigenvalue problem
Estimating brain age based on a healthy population with deep learning and structural MRI
Zoomed In, Diffused Out: Towards Local Degradation-Aware Multi-Diffusion for Extreme Image Super-Resolution
Strategies to Inject Spoofed Measurement Data
Topological Blind Spots: Understanding and Extending Topological Deep Learning Through the Lens of Expressivity
Generative AI Enables Medical Image Segmentation in Ultra Low-Data Regimes
Decision-forest voting scheme for classification of rare classes in network intrusion detection
PriorRG: Prior-Guided Contrastive Pre-training and Coarse-to-Fine Decoding for Chest X-ray Report Generation
Noise in Classification
Neural-IR-Explorer: A Content-Focused Tool to Explore Neural Re-Ranking Results
Mitral Regurgitation Recogniton based on Unsupervised Out-of-Distribution Detection with Residual Diffusion Amplification
On-line direct data driven controller design approach with automatic update for some of the tuning parameters
Tube Loss based Deep Networks For Improving the Probabilistic Forecasting of Wind Speed
An NP-hard generalization of Nim
Frame-level emotional state alignment method for speech emotion recognition
Malaria detection in Segmented Blood Cell using Convolutional Neural Networks and Canny Edge Detection
Digital Manifolds and the Theorem of Jordan-Brouwer
FedCL-Ensemble Learning: A Framework of Federated Continual Learning with Ensemble Transfer Learning Enhanced for Alzheimer's MRI Classifications while Preserving Privacy
Computer-Aided Derivation of Multi-scale Models: A Rewriting Framework
Data Assetization via Resources-decoupled Federated Learning
Numerical modeling of pavement deflection behavior under the Traffic Speed Deflectometer
Towards Better Generalization: Joint Depth-Pose Learning without PoseNet
A case of combination of evidence in the Dempster-Shafer theory inconsistent with evaluation of probabilities
Noisy DPC and Application to a Cognitive Channel
Optima and Simplicity in Nature
A New Index Coding Scheme Exploiting Interlinked Cycles
Edge Computing vs Centralized Cloud: Impact of Communication Latency on the Energy Consumption of LTE Terminal Nodes
The Life in 1-Consensus
Compressed online Sinkhorn
Efficient Federated Learning with Enhanced Privacy via Lottery Ticket Pruning in Edge Computing
EmoGen: Eliminating Subjective Bias in Emotional Music Generation
Enhancing Diagnostic Precision in Gastric Bleeding through Automated Lesion Segmentation: A Deep DuS-KFCM Approach
A Unified Gaussian Process for Branching and Nested Hyperparameter Optimization
FreeTuner: Any Subject in Any Style with Training-free Diffusion
AWorld: Orchestrating the Training Recipe for Agentic AI
High Capacity Lossless Data Hiding for JPEG images by NLCM Relationship Constrcution
Robust and Agile Quadrotor Flight via Adaptive Unwinding-Free Quaternion Sliding Mode Control
Crowdsourcing with Meta-Workers: A New Way to Save the Budget
Task-Aware Active Learning for Endoscopic Image Analysis
Deep DeePC: Data-enabled predictive control with low or no online optimization using deep learning
A generative framework to bridge data-driven models and scientific theories in language neuroscience
Generating novel experimental hypotheses from language models: A case study on cross-dative generalization
ECG-Image-Database: A Dataset of ECG Images with Real-World Imaging and Scanning Artifacts; A Foundation for Computerized ECG Image Digitization and Analysis
Model Approximation Using Cascade of Tree Decompositions
Multi-scale Transactive Control In Interconnected Bulk Power Systems Under High Renewable Energy Supply and High Demand Response Scenarios
A Strategy for Adaptive Sampling of Multi-fidelity Gaussian Process to Reduce Predictive Uncertainty
Efficient Generation of Random Bits from Finite State Markov Chains
Comparative Analysis of LLaMA and ChatGPT Embeddings for Molecule Embedding
Open Source Horizontal IoT Platforms: A Comparative Study on Functional Requirements
Symbolic Music Playing Techniques Generation as a Tagging Problem
Spiking Vocos: An Energy-Efficient Neural Vocoder
Symmetry-Aware Steering of Equivariant Diffusion Policies: Benefits and Limits
Time Series Anomaly Detection Using Convolutional Neural Networks and Transfer Learning
Fast Sampling of b-Matchings and b-Edge Covers
Infinite hierarchical contrastive clustering for personal digital envirotyping
Particle-based 6D Object Pose Estimation from Point Clouds using Diffusion Models
A Virtual Quantum Network Prototype for Open Access
Unequal Uncertainty: Rethinking Algorithmic Interventions for Mitigating Discrimination from AI
Reproducible scaling laws for contrastive language-image learning
Web Usage mining framework for Data Cleaning and IP address Identification
Variation in research collaboration patterns across academic ranks
Logic Programming approaches for routing fault-free and maximally-parallel Wavelength Routed Optical Networks on Chip (Application paper)
Sentiment Analysis of ESG disclosures on Stock Market
Light Field Super-Resolution using a Low-Rank Prior and Deep Convolutional Neural Networks
Application of Gammachirp Auditory Filter as a Continuous Wavelet Analysis
Heterogeneous Hand Guise Classification Based on Surface Electromyographic Signals Using Multichannel Convolutional Neural Network
Difference hierarchies and duality with an application to formal languages
Exploring the Role of Emotion Regulation Difficulties in the Assessment of Mental Disorders
BeamSync: Over-The-Air Synchronization for Distributed Massive MIMO Systems
The 3rd Anti-UAV Workshop & Challenge: Methods and Results
Towards Complex Real-World Safety Factory Inspection: A High-Quality Dataset for Safety Clothing and Helmet Detection
End-to-end Learning for Fair Ranking Systems
No-Trick (Treat) Kernel Adaptive Filtering using Deterministic Features
Semantic-Aware Generation for Self-Supervised Visual Representation Learning
Cryptographic Defence against Misbehaving TCP Receivers
General Demographic Foundation Models for Enhancing Predictive Performance Across Diseases
Demonstrators for Industrial Cyber-Physical System Research: A Requirements Hierarchy Driven by Software-Intensive Design
Distributed Embodied Evolution in Networks of Agents
SoK: Privacy-preserving Deep Learning with Homomorphic Encryption
Deja vu: Scalable Place Recognition Using Mutually Supportive Feature Frequencies
Neural Index Policies for Restless Multi-Action Bandits with Heterogeneous Budgets
Commitment Schemes for Multi-Party Computation
HandSight: DeCAF & Improved Fisher Vectors to Classify Clothing Color and Texture with a Finger-Mounted Camera
An Accurate and Efficient Analysis of a MBSFN Network
Arguing Machines: Perception-Control System Redundancy and Edge Case Discovery in Real-World Autonomous Driving
Optimal Pose Guidance for Stereo Calibration in 3D Deformation Measurement
Expressivity and Complexity of the Conjunctive Core of the SIGNAL Process Query Language
To compress or not to compress: Understanding the Interactions between Adversarial Attacks and Neural Network Compression
VideoLCM: Video Latent Consistency Model
Data-Efficient Kernel Methods for Learning Differential Equations and Their Solution Operators: Algorithms and Error Analysis
Diffusion-based Symbolic Music Generation with Structured State Space Models
Machine Learning-Assisted Pattern Recognition Algorithms for Estimating Ultimate Tensile Strength in Fused Deposition Modeled Polylactic Acid Specimens
Headache to Overstock? Promoting Long-tail Items through Debiased Product Bundling
IF2Net: Innately Forgetting-Free Networks for Continual Learning
Requirements for Game-Based Learning Design Framework for Information System Integration in the Context of Post-Merger Integration
Digital Modeling of Spatial Pathway Activity from Histology Reveals Tumor Microenvironment Heterogeneity
Randomized Distributed Mean Estimation: Accuracy vs Communication
Demystifying and Assessing Code Understandability in Java Decompilation
TAROT: A Hierarchical Framework with Multitask Co-Pretraining on Semi-Structured Data towards Effective Person-Job Fit
Computational Approaches for Predicting Drug-Disease Associations: A Comprehensive Review
Encoding Seasonal Climate Predictions for Demand Forecasting with Modular Neural Network
Birthday attack to discrete logarithm
Conformal Information Pursuit for Interactively Guiding Large Language Models
A machine learning framework for data driven acceleration of computations of differential equations
3D-Mirrorcle: Bridging the Virtual and Real through Depth Alignment in Smart Mirror Systems
Small World Property of a Rock Joint
Architecture and Security of SCADA Systems: A Review
From Sparse to Dense: Toddler-inspired Reward Transition in Goal-Oriented Reinforcement Learning
Common Signal Analysis
A New Entity Extraction Method Based on Machine Reading Comprehension
Target-driven splitting SPH optimization of thermal conductivity distribution
Cursive Multilingual Characters Recognition Based on Hard Geometric Features
HNCSE: Advancing Sentence Embeddings via Hybrid Contrastive Learning with Hard Negatives
Integrating Model-based Control and RL for Sim2Real Transfer of Tight Insertion Policies
Variational Quantum Circuits for Quantum State Tomography
Homophily and Long-Run Integration in Social Networks
Minimization of Stochastic First-order Oracle Complexity of Adaptive Methods for Nonconvex Optimization
Queue-aware Network Control Algorithm with a High Quantum Computing Readiness-Evaluated in Discrete-time Flow Simulator for Fat-Pipe Networks
Retweets Distort Exposure to Polarized Information
Inpaint360GS: Efficient Object-Aware 3D Inpainting via Gaussian Splatting for 360° Scenes
Inference with Reference: Lossless Acceleration of Large Language Models
ICanC: Improving Camera-based Object Detection and Energy Consumption in Low-Illumination Environments
Learning Embeddings from Cancer Mutation Sets for Classification Tasks
A multi-objective time series analysis of community mobility reduction comparing first and second COVID-19 waves
Surface HOF: Surface Reconstruction from a Single Image Using Higher Order Function Networks
Resource-Limited Joint Multimodal Sentiment Reasoning and Classification via Chain-of-Thought Enhancement and Distillation
Outage and DMT Analysis of Partition-based Schemes for RIS-aided MIMO Fading Channels
Conversational Automated Program Repair
Exploring User-level Gradient Inversion with a Diffusion Prior
Multi-Objective LQG Design with Primal-Dual Method
Optimizing open-domain question answering with graph-based retrieval augmented generation
Hybrid data-driven and physics-informed regularized learning of cyclic plasticity with Neural Networks
A Teacher Is Worth A Million Instructions
Graph Model Selection via Random Walks
Prompt-Based Segmentation at Multiple Resolutions and Lighting Conditions using Segment Anything Model 2
NimbRo wins ANA Avatar XPRIZE Immersive Telepresence Competition: Human-Centric Evaluation and Lessons Learned
Behavior of solutions to the 1D focusing stochastic nonlinear Schrödinger equation with spatially correlated noise
Selecting Parallel In-domain Sentences for Neural Machine Translation Using Monolingual Texts
Supervised Contrastive Learning with Tree-Structured Parzen Estimator Bayesian Optimization for Imbalanced Tabular Data
Identifying disease-free chest X-ray images with deep transfer learning
Train on Small, Play the Large: Scaling Up Board Games with AlphaZero and GNN
On the largest singular values of certain large random matrices with application to the estimation of the minimal dimension of the state-space representations of high-dimensional time series
Unsupervised Domain Adaption of Object Detectors: A Survey
A Hybrid Trajectory Clustering for Predicting User Navigation
Class Prior Estimation under Covariate Shift - no Problem?
Fuzzy k-Nearest Neighbors with monotonicity constraints: Moving towards the robustness of monotonic noise
Towards a generic compilation approach for quantum circuits through resynthesis
ChicGrasp: Imitation-Learning based Customized Dual-Jaw Gripper Control for Delicate, Irregular Bio-products Manipulation
Weight Space Correlation Analysis: Quantifying Feature Utilization in Deep Learning Models
Boosting Monocular 3D Object Detection with Object-Centric Auxiliary Depth Supervision
The conditional Entropy Power Inequality for quantum additive noise channels
Jarzynski Reweighting and Sampling Dynamics for Training Energy-Based Models: Theoretical Analysis of Different Transition Kernels
Stochastic Multiresolution Image Sketching for Inverse Imaging Problems
Holographic-Type Communication for Digital Twin: A Learning-based Auction Approach
HCI Support Card: Creating and Using a Support Card for Education in Human-Computer Interaction
Data-Centric Debugging: mitigating model failures via targeted data collection
Can we measure the impact of a database?
A Unified Approach for Clustering Problems on Sliding Windows
Accelerating Goal-Conditioned RL Algorithms and Research
Leveraging Robotic Prior Tactile Exploratory Action Experiences For Learning New Objects's Physical Properties
Hybrid Quantum-Classical Optimisation of Traveling Salesperson Problem
Circumvention by design - dark patterns in cookie consents for online news outlets
A Scalable Interior-Point Gauss-Newton Method for PDE-Constrained Optimization with Bound Constraints
On Accuracy of Community Structure Discovery Algorithms
Update Efficiency and Local Repairability Limits for Capacity Approaching Codes
How Much 3D Do Video Foundation Models Encode?
Capacity-Achieving Iterative LMMSE Detection for MIMO-NOMA Systems
General Community Detection with Optimal Recovery Conditions for Multi-relational Sparse Networks with Dependent Layers
Secured Communication Schemes for UAVs in 5G: CRYSTALS-Kyber and IDS
Coordinating Complementary Waveforms for Sidelobe Suppression
When Distance Distracts: Representation Distance Bias in BT-Loss for Reward Models
fMRI-3D: A Comprehensive Dataset for Enhancing fMRI-based 3D Reconstruction
The ESPRIT algorithm under high noise: Optimal error scaling and noisy super-resolution
Filtered Rayleigh-Ritz is all you need
TRACE: A Framework for Analyzing and Enhancing Stepwise Reasoning in Vision-Language Models
TrustToken, a Trusted SoC solution for Non-Trusted Intellectual Property (IP)s
Establishing Central Sensitization Inventory Cut-off Values in patients with Chronic Low Back Pain by Unsupervised Machine Learning
Inherently Faithful Attention Maps for Vision Transformers
Important Molecular Descriptors Selection Using Self Tuned Reweighted Sampling Method for Prediction of Antituberculosis Activity
GVD-TG: Topological Graph based on Fast Hierarchical GVD Sampling for Robot Exploration
Polytopic Autoencoders with Smooth Clustering for Reduced-order Modelling of Flows
Tolerance in Model-Driven Engineering: A Systematic Literature Review with Model-Driven Tool Support
DDE-Find: Learning Delay Differential Equations from Noisy, Limited Data
Systematic Mapping Protocol: Have Systematic Reuse Benefits Been Transferred to Real-world Settings?
New Cross-Core Cache-Agnostic and Prefetcher-based Side-Channels and Covert-Channels
Psychometric-Based Evaluation for Theorem Proving with Large Language Models
When Better Teachers Don't Make Better Students: Revisiting Knowledge Distillation for CLIP Models in VQA
Internet of Things in Geospatial Analytics
Performance and Energy Efficiency of Mobile Data Offloading with Mobility Prediction and Prefetching
Making DeepFakes more spurious: evading deep face forgery detection via trace removal attack
Improved multipath time delay estimation using cepstrum subtraction
A Human-Machine Collaboration Framework for the Development of Schemas
The Time Domain Linear Sampling Method for Determining the Shape of a Scatterer using Electromagnetic Waves
Evolving, Not Training: Zero-Shot Reasoning Segmentation via Evolutionary Prompting
Error formulas for block rational Krylov approximations of matrix functions
Automatic Keyword Extraction from Spoken Text. A Comparison of two Lexical Resources: the EDR and WordNet
Current Services In Cloud Computing: A Survey
Unlocking Efficient Large Inference Models: One-Bit Unrolling Tips the Scales
Positive spoof Lehmer factorizations
Record Acceleration of the Two-Dimensional Ising Model Using High-Performance Wafer Scale Engine
A Tucker decomposition process for probabilistic modeling of diffusion magnetic resonance imaging
Face Identification with Second-Order Pooling
dPASP: A Comprehensive Differentiable Probabilistic Answer Set Programming Environment For Neurosymbolic Learning and Reasoning
Judicial Intelligent Assistant System: Extracting Events from Divorce Cases to Detect Disputes for the Judge
Conditional Expressions for Blind Deconvolution: Multi-point form
Perspective on complexity measures targetting read-once branching programs
Join Sampling under Acyclic Degree Constraints and (Cyclic) Subgraph Sampling
ReCAB-VAE: Gumbel-Softmax Variational Inference Based on Analytic Divergence
Behavior Analysis and Design of Concrete-Filled Steel Circular-Tube Short Columns Subjected to Axial Compression