yusuke1997/dblp-id-title huggingface dataset:
Decreasing defect rate of test cases by designing and analysis for recursive modules of a program structure: Improvement in test cases
Scaling Survival Analysis in Healthcare with Federated Survival Forests: A Comparative Study on Heart Failure and Breast Cancer Genomics
Singular points detection with semantic segmentation networks
It HAS to be Subjective: Human Annotator Simulation via Zero-shot Density Estimation
Enhancing Travel Decision-Making: A Contrastive Learning Approach for Personalized Review Rankings in Accommodations
Proofing Tools Technology at Neurosoft S.A
ADAM: A Diverse Archive of Mankind for Evaluating and Enhancing LLMs in Biographical Reasoning
D3-Tree: A Dynamic Distributed Deterministic Load - Balancer for decentralized tree structures
Verifying Graph Programs with First-Order Logic (Extended Version)
Metaheuristics for the Online Printing Shop Scheduling Problem
A Complex Event Processing Approach for Crisis-Management Systems
Leadership and Engagement Dynamics in Legislative Twitter Networks: Statistical Analysis and Modeling
Economic Model Predictive Control for Periodic Operation: A Quadratic Programming Approach
Deep Involutive Generative Models for Neural MCMC
Splitting-based domain decomposition methods for two-phase flow with different rock types
An approach to improve agent learning via guaranteeing goal reaching in all episodes
Systematically Evaluation of Challenge Obfuscated APUFs
Generating SOAP Notes from Doctor-Patient Conversations
Dynamically Orthogonal Approximation for Stochastic Differential Equations
The Privacy Funnel from the viewpoint of Local Differential Privacy
HSSBench: Benchmarking Humanities and Social Sciences Ability for Multimodal Large Language Models
Construction and Covering Properties of Constant-Dimension Codes
Geometric fluid approximation for general continuous-time Markov chains
Scalable Visual Attribute Extraction through Hidden Layers of a Residual ConvNet
Automatic Annotation of Axoplasmic Reticula in Pursuit of Connectomes using High-Resolution Neural EM Data
Cross-Domain Validation of a Resection-Trained Self-Supervised Model on Multicentre Mesothelioma Biopsies
Can We Use Neural Regularization to Solve Depth Super-Resolution?
DISCOVER: A Data-driven Interactive System for Comprehensive Observation, Visualization, and ExploRation of Human Behaviour
Observability-aware Self-Calibration of Visual and Inertial Sensors for Ego-Motion Estimation
Climate Change Policy Exploration using Reinforcement Learning
Rigid Motion Invariant Statistical Shape Modeling based on Discrete Fundamental Forms
WeedNet: A Foundation Model-Based Global-to-Local AI Approach for Real-Time Weed Species Identification and Classification
Retrofitting Earth System Models with Cadence-Limited Neural Operator Updates
Statistical process discovery
Optimal Conformal Prediction under Epistemic Uncertainty
Construction of a minimum energy path for the VT flash model by an exponential time differencing scheme with the string method
Real-time experiment-theory closed-loop interaction for autonomous materials science
OMP2HMPP: Compiler Framework for Energy Performance Trade-off Analysis of Automatically Generated Codes
Pitfalls in Language Models for Code Intelligence: A Taxonomy and Survey
Distributed Adaptive and Resilient Control of Multi-Robot Systems with Limited Field of View Interactions
The Degrees of Freedom of the Compound MIMO Broadcast Channels with Finite States
Tools for parsimonious edge-colouring of graphs with maximum degree three
Towards a Domain Specific Language for a Scene Graph based Robotic World Model
Almost Envy-free Allocation of Indivisible Goods: A Tale of Two Valuations
The single-crossing property on a tree
Identifying Influential nodes in Brain Networks via Self-Supervised Graph-Transformer
A unified framework of non-local parametric methods for image denoising
On Representational Dissociation of Language and Arithmetic in Large Language Models
On the Optimality of Random Partial Sphere Coverings in High Dimensions
Globally Optimal Contrast Maximisation for Event-based Motion Estimation
Curve Fitting Simplified: Exploring the Intuitive Features of CurvPy
Inferring community characteristics in labelled networks
Non-intrusive model reduction of advection-dominated hyperbolic problems using neural network shift augmented manifold transformations
Self-explanatory Deep Salient Object Detection
Adjustbot: Bio-Inspired Quadruped Robot with Adjustable Posture and Undulated Body for Challenging Terradynamic Tasks
AI Imagery and the Overton Window
Average Age of Changed Information in the Internet of Things
Info Overload: A Cooperative Evacuation Game
Locally Connected Spiking Neural Networks for Unsupervised Feature Learning
Unveiling Technorelief: Enhancing Neurodiverse Collaboration with Media Capabilities
Classify, predict, detect, anticipate and synthesize: Hierarchical recurrent latent variable models for human activity modeling
C-AAE: Compressively Anonymizing Autoencoders for Privacy-Preserving Activity Recognition in Healthcare Sensor Streams
Multi-Level Graph Convolutional Network with Automatic Graph Learning for Hyperspectral Image Classification
Minimal Dominating Sets in a Tree: Counting, Enumeration, and Extremal Results
Behavior Cloning for Mini Autonomous Car Path Following
Gauss-Newton oriented greedy algorithms for the reconstruction of operators in nonlinear dynamics
Challenging the Lévy Flight Foraging Hypothesis -A Joint Monte Carlo and Numerical PDE Approach
Sparsifying Parity-Check Matrices
SMAP: Self-supervised Motion Adaptation for Physically Plausible Humanoid Whole-body Control
GIMP-ML: Python Plugins for using Computer Vision Models in GIMP
Deploying AI for Signal Processing education: Selected challenges and intriguing opportunities
BiggerGait: Unlocking Gait Recognition with Layer-wise Representations from Large Vision Models
Reinforcing Semantic-Symmetry for Document Summarization
StraIT: Non-autoregressive Generation with Stratified Image Transformer
Risk Factor Identification In Osteoporosis Using Unsupervised Machine Learning Techniques
Completeness Thresholds for Memory Safety: Unbounded Guarantees via Bounded Proofs (Extended Abstract)
Nearly linear time encodable codes beating the Gilbert-Varshamov bound
Deep Privacy Funnel Model: From a Discriminative to a Generative Approach with an Application to Face Recognition
Empirical Evaluation of Deep Learning Model Compression Techniques on the WaveNet Vocoder
Investigating Transfer Learning in Graph Neural Networks
A-Optimal Active Learning
Relay Control for Full-Duplex Relaying with Wireless Information and Energy Transfer
Face Recognition via Locality Constrained Low Rank Representation and Dictionary Learning
Data-driven Computing in Elasticity via Chebyshev Approximation
Approximation learning methods of Harmonic Mappings in relation to Hardy Spaces
Elementary Complexity and von Neumann Algebras
The Free Will Equation: Quantum Field Analogies for AGI
Semantic Oriented Agent based Approach towards Engineering Data Management, Web Information Retrieval and User System Communication Problems
KPIs-Based Clustering and Visualization of HPC jobs: a Feature Reduction Approach
DeepSeek: Content Based Image Search & Retrieval
One Tool Is Enough: Reinforcement Learning for Repository-Level LLM Agents
Short-term and Long-term Cell Outage Compensation Using UAVs in 5G Networks
Physics-Guided Deepfake Detection for Voice Authentication Systems
Geometric Operator Learning with Optimal Transport
A Generalization of Continuous Relaxation in Structured Pruning
Sparse online relative similarity learning
A Random Matrix Approach to Low-Multilinear-Rank Tensor Approximation
Guidance on the Safety Assurance of Autonomous Systems in Complex Environments (SACE)
Interpretable Machine Learning for Life Expectancy Prediction: A Comparative Study of Linear Regression, Decision Tree, and Random Forest
A Robust Beamformer Based on Weighted Sparse Constraint
Multiscale Convolutional Transformer with Center Mask Pretraining for Hyperspectral Image Classification
MRS Modular UAV Hardware Platforms for Supporting Research in Real-World Outdoor and Indoor Environments
Content-Rich AIGC Video Quality Assessment via Intricate Text Alignment and Motion-Aware Consistency
On the Relationship between Strand Spaces and Multi-Agent Systems
Pseudo vs. True Defect Classification in Printed Circuits Boards using Wavelet Features
Simulated Tempering Langevin Monte Carlo II: An Improved Proof using Soft Markov Chain Decomposition
Active Informed Consent to Boost the Application of Machine Learning in Medicine
Weighing votes in human-machine collaboration for hazard recognition: Inferring hazard perceptual threshold and decision confidence from electroencephalogram wavelets
A Novel Fusion of Attention and Sequence to Sequence Autoencoders to Predict Sleepiness From Speech
A high-level operational semantics for hardware weak memory models
MathRobust-LV: Evaluation of Large Language Models' Robustness to Linguistic Variations in Mathematical Reasoning
VideoPDE: Unified Generative PDE Solving via Video Inpainting Diffusion Models
Learning to Write Rationally: How Information Is Distributed in Non-Native Speakers' Essays
Image Restoration by Solving IVP
Fast Public Transit Routing with Unrestricted Walking through Hub Labeling
A Liquid Perspective on Democratic Choice
Design of a Formation of Solar Pumped Lasers for Asteroid Deflection
Spectral approximation of convolution operators of Fredholm type
Harmonious Group Choreography with Trajectory-Controllable Diffusion
Privacy Engineering in Smart Home (SH) Systems: A Comprehensive Privacy Threat Analysis and Risk Management Approach
Contrastive Multi-Level Graph Neural Networks for Session-based Recommendation
Computability of simple games: A complete investigation of the sixty-four possibilities
A Glyph-driven Topology Enhancement Network for Scene Text Recognition
Few-shot Human Action Anomaly Detection via a Unified Contrastive Learning Framework
Statistical inference framework for source detection of contagion processes on arbitrary network structures
Neural SDEs for Conditional Time Series Generation and the Signature-Wasserstein-1 metric
SetPINNs: Set-based Physics-informed Neural Networks
Multimodal Transformer with Variable-length Memory for Vision-and-Language Navigation
Describe Me Something You Do Not Remember - Challenges and Risks of Exposure Design Using Generative Artificial Intelligence for Therapy of Complex Post-traumatic Disorder
ISFL: Trustworthy Federated Learning for Non-i.i.d. Data with Local Importance Sampling
Parallelism and Synchronization in an Infinitary Context (Long Version)
Delineating Bone Surfaces in B-Mode Images Constrained by Physics of Ultrasound Propagation
Rethinking Lung Cancer Screening: AI Nodule Detection and Diagnosis Outperforms Radiologists, Leading Models, and Standards Beyond Size and Growth
Attribute Evaluation on Attack Trees with Incomplete Information
A Machine Learning Pipeline for Automatic Extraction of Statistic Reports and Experimental Conditions from Scientific Papers
An Empirical Study on Price Differentiation Based on System Fingerprints
FLUTE: Figurative Language Understanding and Textual Explanations
On the Properties of Adversarially-Trained CNNs
Stochastic dominance and the bijective ratio of online algorithms
A Hybrid Machine Learning Approach for Synthetic Data Generation with Post Hoc Calibration for Clinical Tabular Datasets
InvestAlign: Overcoming Data Scarcity in Aligning Large Language Models with Investor Decision-Making Processes under Herd Behavior
Performance is not enough: a story of the Rashomon's quartet
Deep Perceptual Compression
Secure Minimum Time Planning Under Environmental Uncertainty: an Extended Treatment
AiCEF: An AI-assisted Cyber Exercise Content Generation Framework Using Named Entity Recognition
GeoScatt-GNN: A Geometric Scattering Transform-Based Graph Neural Network Model for Ames Mutagenicity Prediction
Effective Image Retrieval via Multilinear Multi-index Fusion
Exploiting Contextual Structure to Generate Useful Auxiliary Tasks
Performance Analysis of HR Portal Domain Components Extraction
ParaMaP: Parallel Mapping and Collision-free Motion Planning for Reactive Robot Manipulation
Never Come Up Empty: Adaptive HyDE Retrieval for Improving LLM Developer Support
DocMath-Eval: Evaluating Numerical Reasoning Capabilities of LLMs in Understanding Long Documents with Tabular Data
RadEx: A Framework for Structured Information Extraction from Radiology Reports based on Large Language Models
Deep Forcing: Training-Free Long Video Generation with Deep Sink and Participative Compression
HijackRAG: Hijacking Attacks against Retrieval-Augmented Large Language Models
Data Standards in Audiology: A Mixed-Methods Exploration of Community Perspectives and Implementation Considerations
How Can We Make GAN Perform Better in Single Medical Image Super-Resolution? A Lesion Focused Multi-Scale Approach
Completion Time in Multi-Access Channel: An Information Theoretic Perspective
Generative Diffusion Models for Fast Simulations of Particle Collisions at CERN
An information theoretic vulnerability metric for data integrity attacks on smart grids
BiKC: Keypose-Conditioned Consistency Policy for Bimanual Robotic Manipulation
Bayesian Self-Distillation for Image Classification
Coded Elastic Computing on Machines with Heterogeneous Storage and Computation Speed
Undecidability of Learnability
On the geometry of geometric rank
DynamicRouteGPT: A Real-Time Multi-Vehicle Dynamic Navigation Framework Based on Large Language Models
Quantum McEliece public-key encryption scheme
About the Serpinsky-Knopp curve
Empowering Citizens by a Blockchain-Based Robinson List
A Non-volatile Near-Memory Read Mapping Accelerator
Long 2 RAG: Evaluating Long-Context & Long-Form Retrieval-Augmented Generation with Key Point Recall
Clustering Consistent Sparse Subspace Clustering
All-Photonic Artificial Neural Network Processor Via Non-linear Optics
A Low Cost Vision Based Hybrid Fiducial Mark Tracking Technique for Mobile Industrial Robots
Random subgraphs make identification affordable
Sub-optimality of the Han-Kobayashi Achievable Region for Interference Channels
Classification as Direction Recovery: Improved Guarantees via Scale Invariance
Training-free Conditional Image Embedding Framework Leveraging Large Vision Language Models
Comparative Bandwidth Analysis of Low-Power Wireless IoT-Switches
Effectively Compress KV Heads for LLM
A Linear-Time Approximation of the Earth Mover's Distance
Guarded resolution for answer set programming
An L(1/3 + epsilon) Algorithm for the Discrete Logarithm Problem for Low Degree Curves
M3-VRD: Multimodal Multi-task Multi-teacher Visually-Rich Form Document Understanding
FootApp: an AI-Powered System for Football Match Annotation
Data Modeling for Connected Data - A systematic literature review
Quasi-potential theory for escape problem: Quantitative sharpness effect on SGD's escape from local minima
On Secure Communication with Constrained Randomization
MultiG-Rank: Multiple graph regularized protein ranking
Efficient Construction of Implicit Surface Models From a Single Image for Motion Generation
Test-time adversarial detection and robustness for localizing humans using ultra wide band channel impulse responses
Large-scale IRS-aided MIMO over Double-scattering Channel: An Asymptotic Approach
Benchmark of visual and 3D lidar SLAM systems in simulation environment for vineyards
Learning Anonymized Representations with Adversarial Neural Networks
A Learning Algorithm for Relational Logistic Regression: Preliminary Results
Model-free multiclass conditional probability estimation via quantile regression
Learning to Lead Themselves: Agentic AI in MAS using MARL
Super-Resolution of SOHO/MDI Magnetograms of Solar Active Regions Using SDO/HMI Data and an Attention-Aided Convolutional Neural Network
Get Rid of Task Isolation: A Continuous Multi-task Spatio-Temporal Learning Framework
Sentence Alignment with Parallel Documents Helps Biomedical Machine Translation
The Sloop System for Individual Animal Identification with Deep Learning
Robust Pollen Imagery Classification with Generative Modeling and Mixup Training
SciToolAgent: A Knowledge Graph-Driven Scientific Agent for Multi-Tool Integration
Reasoning-Driven Retrosynthesis Prediction with Large Language Models via Reinforcement Learning
Monge beats Bayes: Hardness Results for Adversarial Training
Localization with Reconfigurable Intelligent Surface: An Active Sensing Approach
Improving Adaptive Moment Optimization via Preconditioner Diagonalization
Complex Logical Reasoning over Knowledge Graphs using Large Language Models
Datasets and Benchmarks for Offline Safe Reinforcement Learning
Global Networks of Trade and Bits
Initialization of Self-Organizing Maps: Principal Components Versus Random Initialization. A Case Study
Visualising Generative Spaces Using Convolutional Neural Network Embeddings
Testing-driven Variable Selection in Bayesian Modal Regression
Automated Cache for Container Executables
ReLU integral probability metric and its applications
On Supporting Digital Journalism: Case Studies in Co-Designing Journalistic Tools
Harnessing Caption Detailness for Data-Efficient Text-to-Image Generation
Finding missing edges in networks based on their community structure
Towards Speeding up Program Repair with Non-Autoregressive Model
On the Feedback Reduction of Relay Aided Multiuser Networks using Compressive Sensing
Towards Self-Improvement of Diffusion Models via Group Preference Optimization
Training Quantized Network with Auxiliary Gradient Module
Complexity in the Context of Systems Approach to Project Management
Prolog Visualization System Using Logichart Diagrams
Generators and Relations for the Group O n (Z[1/2])
Towards Autonomous Navigation in Endovascular Interventions
Estimating of the inertial manifold dimension for a chaotic attractor of complex Ginzburg-Landau equation using a neural network
Time-Invariant LDPC Convolutional Codes
SMCD: High Realism Motion Style Transfer via Mamba-based Diffusion
Breeding Programs Optimization with Reinforcement Learning
A Unified Framework for Input Feature Attribution Analysis
Modelling, Verification, and Comparative Performance Analysis of the B.A.T.M.A.N. Protocol
When Pedestrian Detection Meets Multi-Modal Learning: Generalist Model and Benchmark Dataset
Optimal approximation of a large matrix by a sum of projected linear mappings on prescribed subspaces
Degenerative Adversarial NeuroImage Nets for 3D Simulations: Application in Longitudinal MRI
Large Language Models and 3D Vision for Intelligent Robotic Perception and Autonomy
Imitation versus Innovation: What children can do that large language and language-and-vision models cannot (yet)?
Modular Verification of Interrupt-Driven Software
SONIC: Supersizing Motion Tracking for Natural Humanoid Whole-Body Control
Variable Selection and Regularization via Arbitrary Rectangle-range Generalized Elastic Net
MicroExpNet: An Extremely Small and Fast Model For Expression Recognition From Frontal Face Images
Report from Dagstuhl Seminar 23031: Frontiers of Information Access Experimentation for Research and Education
Fusing Audio and Metadata Embeddings Improves Language-based Audio Retrieval
A Diachronic Analysis of the NLP Research Paradigm Shift: When, How, and Why?
Dimensionality Reduction as Probabilistic Inference
Generalized Secure Distributed Source Coding with Side Information
Generating 3D Molecular Structures Conditional on a Receptor Binding Site with Deep Generative Models
Outcome-directed Reinforcement Learning by Uncertainty & Temporal Distance-Aware Curriculum Goal Generation
Safety-Control of Mobile Robots Under Time-Delay Using Barrier Certificates and a Two-Layer Predictor
Spatial Attention and Syntax Rule Enhanced Tree Decoder for Offine Handwritten Mathematical Expression Recognition
3D detection of roof sections from a single satellite image and application to LOD2-building reconstruction
Accelerating K-Core Computation in Temporal Graphs
Theory of Rule 6 and its Application to Round Robin Tournament
RIS-assisted Scheduling for High-Speed Railway Secure Communications
Linear codes arising from the point-hyperplane geometry - Part II: the twisted embedding
Visual Place Recognition for Large-Scale UAV Applications
Noise Filtering Benchmark for Neuromorphic Satellites Observations
An artificial neural network approach to bifurcating phenomena in computational fluid dynamics
In-situ Controller Autotuning by Bayesian Optimization for Closed-loop Feedback Control of Laser Powder Bed Fusion Process
Dither is Better than Dropout for Regularising Deep Neural Networks
Numerical approximation for variable-exponent fractional diffusion-wave equation
Sustainable Cloud Computing: Foundations and Future Directions
Youtu-Agent: Scaling Agent Productivity with Automated Generation and Hybrid Policy Optimization
Automatic 8-tissue Segmentation for 6-month Infant Brains
DuDoNet++: Encoding mask projection to reduce CT metal artifacts
Resultant-based Elimination in Ore Algebra
SNAP: Towards Segmenting Anything in Any Point Cloud
GAITEX: Human motion dataset from impaired gait and rehabilitation exercises of inertial and optical sensor data
Leave-One-EquiVariant: Alleviating invariance-related information loss in contrastive music representations
On basis set optimisation in quantum chemistry
High-level numerical simulations of noise in CCD and CMOS photosensors: review and tutorial
Musical Genres: Beating to the Rhythms of Different Drums
Disentangling Score Content and Performance Style for Joint Piano Rendering and Transcription
Hierarchical clustering and dimensional reduction for optimal control of large-scale agent-based models
L^3U-net: Low-Latency Lightweight U-net Based Image Segmentation Model for Parallel CNN Processors
Late reverberation suppression using U-nets
Early Abandoning PrunedDTW and its application to similarity search
Feature Selection with Evolving, Fast and Slow Using Two Parallel Genetic Algorithms
Fourier or Wavelet bases as counterpart self-attention in spikformer for efficient visual classification
PerfCoder: Large Language Models for Interpretable Code Performance Optimization
A space- and time-efficient Implementation of the Merkle Tree Traversal Algorithm
Attentional Biased Stochastic Gradient for Imbalanced Classification
Choice Outweighs Effort: Facilitating Complementary Knowledge Fusion in Federated Learning via Re-calibration and Merit-discrimination
OFDM Channel Estimation Based on Adaptive Thresholding for Sparse Signal Detection
Compliance-Aware Bandits
Scaleable input gradient regularization for adversarial robustness
On linear convergence of two decentralized algorithms
Language-Driven Opinion Dynamics in Agent-Based Simulations with LLMs
AutoTool: Efficient Tool Selection for Large Language Model Agents
Effective high order integrators for linear Klein-Gordon equations in low to highly oscillatory regimes
Machine Learning and Computer Vision Techniques in Bee Monitoring Applications
Speedrunning ImageNet Diffusion
A Fast and Lightweight Model for Causal Audio-Visual Speech Separation
Measuring Sample Path Causal Influences with Relative Entropy
A Method for Optimizing Connections in Differentiable Logic Gate Networks
Towards Fair Graph Neural Networks via Graph Counterfactual without Sensitive Attributes
Normalizador Neural de Datas e Endereços
Unshared Secret Key Cryptography: Finite Constellation Inputs and Ideal Secrecy Outage
Efficient Learning of POMDPs with Known Observation Model in Average-Reward Setting
Superposed Episodic and Semantic Memory via Sparse Distributed Representation
Tensor-Based Self-Calibration of Cameras via the TrifocalCalib Method
Upper Bounds on the Feedback Error Exponent of Channels With States and Memory
Extending Label Smoothing Regularization with Self-Knowledge Distillation
The Fault in the Stars: Understanding the Underground Market of Amazon Reviews
Hopf Monoids in semi-additive Varieties
An LLM-Powered AI Agent Framework for Holistic IoT Traffic Interpretation
Hardness of Quantum Distribution Learning and Quantum Cryptography
Textile Pattern Generation Using Diffusion Models
How Stride Adaptation in Pedestrian Models Improves Navigation