yusuke1997/dblp-id-title huggingface dataset:
Keypoints Tracking via Transformer Networks
A Measure of Transaction Processing 20 Years Later
Benchmarking Large Language Models on Communicative Medical Coaching: a Novel System and Dataset
Vision based Target Interception using Aerial Manipulation
Frequency Locking of an Optical Cavity using LQG Integral Control
DFormer: Diffusion-guided Transformer for Universal Image Segmentation
MOOSE: Enabling Massively Parallel Multiphysics Simulation
A Unification, Generalization, and Acceleration of Exact Distributed First Order Methods
Seating Assignment Using Constrained Signed Spectral Clustering
ReliableSwap: Boosting General Face Swapping Via Reliable Supervision
QuickCheck for VDM
Comparative evaluation of CNN architectures for Image Caption Generation
The fastest linearly converging discrete-time average consensus using buffered information
DAOs' Business Value from an Open Systems Perspective: A Best-Fit Framework Synthesis
WaterGAN: Unsupervised Generative Network to Enable Real-time Color Correction of Monocular Underwater Images
Metaheuristic Method for Solving Systems of Equations
Processing Analytical Queries in the AWESOME Polystore [Information Systems Architectures]
DMSA: A Decentralized Microservice Architecture for Edge Networks
Lightweight and Breach-Resilient Authenticated Encryption Framework for Internet of Things
Speech Translation Refinement using Large Language Models
Sequence Planner - Automated Planning and Control for ROS2-based Collaborative and Intelligent Automation Systems
Uni-AIMS: AI-Powered Microscopy Image Analysis
Self-guided Few-shot Semantic Segmentation for Remote Sensing Imagery Based on Large Vision Models
VERA: Generating Visual Explanations of Two-Dimensional Embeddings via Region Annotation
Tethered Multi-Robot Systems in Marine Environments
Multi-Fidelity Hybrid Reinforcement Learning via Information Gain Maximization
\'UFAL LatinPipe at EvaLatin 2024: Morphosyntactic Analysis of Latin
Towards Clinical Diagnosis: Automated Stroke Lesion Segmentation on Multimodal MR Image Using Convolutional Neural Network
Quantum algorithm for finding the negative curvature direction in non-convex optimization
EventHands: Real-Time Neural 3D Hand Reconstruction from an Event Stream
Generic Go to Go: Dictionary-Passing, Monomorphisation, and Hybrid
MMIF-AMIN: Adaptive Loss-Driven Multi-Scale Invertible Dense Network for Multimodal Medical Image Fusion
Precoloring co-Meyniel graphs
An implementation of tensor product patch smoothers on GPU
Wavelet Fourier Diffuser: Frequency-Aware Diffusion Model for Reinforcement Learning
LiFT: Leveraging Human Feedback for Text-to-Video Model Alignment
A Staged Deep Learning Approach to Spatial Refinement in 3D Temporal Atmospheric Transport
Single Frame Deblurring with Laplacian Filters
Joint Multi-view Unsupervised Feature Selection and Graph Learning
Early Classification of Time Series. Cost-based Optimization Criterion and Algorithms
Representing Matrices Using Algebraic ZX-calculus
Case Study in Survivable Network System Analysis
Distributed Source Coding using Abelian Group Codes
ALPHA: AnomaLous Physiological Health Assessment Using Large Language Models
Consumer Law for AI Agents
Distributed NeRF Learning for Collaborative Multi-Robot Perception
R-WoM: Retrieval-augmented World Model For Computer-use Agents
DNN-based cross-lingual voice conversion using Bottleneck Features
Grooming a Single Bandit Arm
Machine Translation in the Covid domain: an English-Irish case study for LoResMT 2021
An Empirical Study of Aegis
Learning From Multiple Experts: Self-paced Knowledge Distillation for Long-tailed Classification
Request for Comments: Proposal of a Blockchain for the Automatic Management and Acceptance of Student Achievements
Estimating the Euclidean distortion of an orbit space
FenceBox: A Platform for Defeating Adversarial Examples with Data Augmentation Techniques
Admissible heuristics for obstacle clearance optimization objectives
Mathematical and numerical study of symmetry and positivity of the tensor-valued spring constant defined from P1-FEM for two- and three-dimensional linear elasticity
Hybrid Text Feature Modeling for Disease Group Prediction using Unstructured Physician Notes
DocTalk: Scalable Graph-based Dialogue Synthesis for Enhancing LLM Conversational Capabilities
Divide-and-Conquer Adversarial Detection
Study of Clustered Robust Linear Precoding for Cell-Free MU-MIMO Networks
XR-DT: Extended Reality-Enhanced Digital Twin for Agentic Mobile Robots
Pooling Image Datasets With Multiple Covariate Shift and Imbalance
Solving Resource Recharging Station Location-routing Problem through a Resource-space-time Network Representation
The Optimal Mechanism in Differential Privacy: Multidimensional Setting
Revealing Hidden Bias in AI: Lessons from Large Language Models
Multirate methods for ordinary differential equations
Determinant Codes with Helper-Independent Repair for Single and Multiple Failures
A Public Dataset For the ZKsync Rollup
Stability And Uncertainty Propagation In Power Networks: A Lyapunov-based Approach With Applications To Renewable Resources Allocation
HyRF: Hybrid Radiance Fields for Memory-efficient and High-quality Novel View Synthesis
Modified Bat Algorithm: A Newly Proposed Approach for Solving Complex and Real-World Problems
Improving Molecular Graph Generation with Flow Matching and Optimal Transport
From Experience to Strategy: Empowering LLM Agents with Trainable Graph Memory
Definition and evaluation of model-free coordination of electrical vehicle charging with reinforcement learning
Geometric k-nearest neighbor estimation of entropy and mutual information
Understanding Auditory Evoked Brain Signal via Physics-informed Embedding Network with Multi-Task Transformer
Can 1B LLM Surpass 405B LLM? Rethinking Compute-Optimal Test-Time Scaling
Decentralised, Scalable and Privacy-Preserving Synthetic Data Generation
Learning Visual Information Utility with PIXER
"So what if I used GenAI?" - Implications of Using Cloud-based GenAI in Software Engineering Research
Secure Federated Learning for Residential Short Term Load Forecasting
FAST: Efficient Action Tokenization for Vision-Language-Action Models
KerasCV and KerasNLP: Vision and Language Power-Ups
A Principled Framework for Multi-View Contrastive Learning
Environmental Matching Attack Against Unmanned Aerial Vehicles Object Detection
Evaluation of Vision-LLMs in Surveillance Video
A Comprehensive Survey on Process-Oriented Automatic Text Summarization with Exploration of LLM-Based Methods
Leveraging Learning Metrics for Improved Federated Learning
Analysis of a family of time-continuous strongly conservative space-time finite element methods for the dynamic Biot model
Supercharging Distributed Computing Environments For High Performance Data Engineering
Distributed Representations Enable Robust Multi-Timescale Computation in Neuromorphic Hardware
GranViT: A Fine-Grained Vision Model With Autoregressive Perception For MLLMs
Novel energy detection using uniform noise distribution
It is Free and Always Will Be - Trading Personal Information and Privacy for the Convenience of Online Services
New Era in Cultural Heritage Preservation: Cooperative Aerial Autonomy
The evaluation of a code-switched Sepedi-English automatic speech recognition system
Near-Optimal Linear Precoding with Low Complexity for Massive MIMO
Automated motion planning for robotic assembly of discrete architectural structures
The Weakness of Weak Ties in the Classroom
Proceedings Third Joint Workshop on Developments in Implicit Computational complExity and Foundational & Practical Aspects of Resource Analysis, DICE-FOPARA@ETAPS 2019, Prague, Czech Republic, April 6-7, 2019
Adaptive Batching for Gaussian Process Surrogates with Application in Noisy Level Set Estimation
Learning Street View Representations with Spatiotemporal Contrast
On the idea of a new artificial intelligence based optimization algorithm inspired from the nature of vortex
Optimal Linear Combination of Classifiers
Distribution-aware Dataset Distillation for Efficient Image Restoration
Intelligent Optimization and Machine Learning Algorithms for Structural Anomaly Detection using Seismic Signals
Sub-Linear Root Detection, and New Hardness Results, for Sparse Polynomials Over Finite Fields
TransAnimate: Taming Layer Diffusion to Generate RGBA Video
Automatic Repair of Real Bugs in Java: A Large-Scale Experiment on the Defects4J Dataset
Text-to-SQL Calibration: No Need to Ask - Just Rescale Model Probabilities
FLEXI: Benchmarking Full-duplex Human-LLM Speech Interaction
Symmetric Saliency-based Adversarial Attack To Speaker Identification
Numerical analysis of the stochastic Navier-Stokes equations
Credibility in Web Search Engines
RbX: Region-based explanations of prediction models
On the Effectiveness of Heterogeneous Ensemble Methods for Re-identification
Grokking Explained: A Statistical Phenomenon
Defending Diffusion Models Against Membership Inference Attacks via Higher-Order Langevin Dynamics
Line-based Road Structure Mapping Using Multi-beam LiDAR
User-Centric Semi-Automated Infographics Authoring and Recommendation
A direct Jacobian total Lagrangian explicit dynamics finite element algorithm for real-time simulation of hyperelastic materials
High-Performance Tensor Contraction without BLAS
Nonlinear Model Reduction in Power Systems by Balancing of Empirical Controllability and Observability Covariances
Neuromorphic metamaterials for mechanosensing and perceptual associative learning
Model-Agnostic Characterization of Fairness Trade-offs
Searching for Carriers of the Diffuse Interstellar Bands Across Disciplines, using Natural Language Processing
Adaptive extra-gradient methods for min-max optimization and games
An Empirical Study on Release Engineering Practices in Open Source ML Package Repositories
A Hierarchical Genetic Optimization of a Fuzzy Logic System for Flow Control in Micro Grids
Revisiting Subgradient Method: Complexity and Convergence Beyond Lipschitz Continuity
Efficient Data Structures for Exploiting Sparsity and Structure in Representation of Polynomial Optimization Problems: Implementation in SOSTOOLS
Stream Control Transmission Protocol Steganography
CoT-MAE v2: Contextual Masked Auto-Encoder with Multi-view Modeling for Passage Retrieval
FDABench: A Benchmark for Data Agents on Analytical Queries over Heterogeneous Data
Research on GEO SA-Bi SAR Imaging based on Joint Radar-Communications Waveform
Unsupervised Learning of Dense Optical Flow and Depth from Sparse Event Data
View selection in multi-view stacking: Choosing the meta-learner
NB-FEB: An Easy-to-Use and Scalable Universal Synchronization Primitive for Parallel Programming
Scale-Aware Recognition in Satellite Images under Resource Constraint
Predictive Reliability Assessment of Distribution Grids with Residential Distributed Energy Resources
Identifying Spurious Correlations and Correcting them with an Explanation-based Learning
Fast-dLLM v2: Efficient Block-Diffusion LLM
Close-to-optimal continuity bound for the von Neumann entropy and other quasi-classical applications of the Alicki-Fannes-Winter technique
On Scaling Limits of Power Law Shot-noise Fields
Patterns of Sociotechnical Design Preferences of Chatbots for Intergenerational Collaborative Innovation : A Q Methodology Study
Collective Tuning Initiative
AI based Service Management for 6G Green Communications
A novel shape-based loss function for machine learning-based seminal organ segmentation in medical imaging
Exploring dual information in distance metric learning for clustering
Estimation of a Causal Directed Acyclic Graph Process using Non-Gaussianity
Efficient Neural Ranking using Forward Indexes and Lightweight Encoders
A Comparative Study on Transfer Learning and Distance Metrics in Semantic Clustering over the COVID-19 Tweets
Modeling and Analyzing Adaptive User-Centric Systems in Real-Time Maude
Robust and Diverse Multi-Agent Learning via Rational Policy Gradient
Deep Operator BSDE: a Numerical Scheme to Approximate the Solution Operators
Towards Correctness of Program Transformations Through Unification and Critical Pair Computation
Applying News and Media Sentiment Analysis for Generating Forex Trading Signals
Robust deformable image registration using cycle-consistent implicit representations
Training Language Models to Critique With Multi-agent Feedback
phepy: Visual Benchmarks and Improvements for Out-of-Distribution Detectors
Structure preserving nodal continuous Finite Elements via Global Flux quadrature
Offset Masking Improves Deep Learning based Accelerated MRI Reconstructions
Reconfigurable Intelligent Surface Enabled Spatial Multiplexing with Fully Convolutional Network
Empowering AI drug discovery with explicit and implicit knowledge
Scene Graph based Image Retrieval - A case study on the CLEVR Dataset
Safe in the Future, Dangerous in the Past: Dissecting Temporal and Linguistic Vulnerabilities in LLMs
On full-separating sets in graphs
Making Sense of Complex Sensor Data Streams
On the Role of Contrastive Representation Learning in Adversarial Robustness: An Empirical Study
A New Taxonomy for Symbiotic EM Sensors
R-FUSE: Robust Fast Fusion of Multi-Band Images Based on Solving a Sylvester Equation
Changing Fashion Cultures
Epileptic Seizure Detection and Prediction from EEG Data: A Machine Learning Approach with Clinical Validation
Cable-Driven Robots with Wireless Control Capability for Pedagogical Illustration in Science
AutoPentester: An LLM Agent-based Framework for Automated Pentesting
An Evolving Neuro-Fuzzy System with Online Learning/Self-learning
Making Urban Art Accessible: Current Art Access Techniques, Design Considerations, and the Role of AI
On the security of randomly transformed quadratic programs for privacy-preserving cloud-based control
Real Time Data Warehouse
Strategy Recovery for Stochastic Mean Payoff Games
Entity-aware ELMo: Learning Contextual Entity Representation for Entity Disambiguation
Regularity and error estimates in physics-informed neural networks for the Kuramoto-Sivashinsky equation
Leveraging Deep Learning to Improve the Performance Predictability of Cloud Microservices
Statistical Noise Analysis in SENSE Parallel MRI
Weight Block Sparsity: Training, Compilation, and AI Engine Accelerators
Simplifying Bayesian Optimization Via In-Context Direct Optimum Sampling
A Hidden Variables Approach to Multilabel Logistic Regression
Virtual Coordinate Backtracking for Void Traversal in Geographic Routing
Network Sampling Methods for Estimating Social Networks, Population Percentages and Totals of People Experiencing Homelessness
PicoPose: Progressive Pixel-to-Pixel Correspondence Learning for Novel Object Pose Estimation
The universal pre-Lie-Rinehart algebras of aromatic trees
PipSwitch: A Circuit Switch Using Programmable Integrated Photonics
Linguistics and some aspects of its underlying dynamics
Dynamic Graph Attention for Anomaly Detection in Heterogeneous Sensor Networks
Understanding Clinical Decision-Making in Traditional East Asian Medicine through Dimensionality Reduction: An Empirical Investigation
Predicting Molecular Phenotypes with Single Cell RNA Sequencing Data: an Assessment of Unsupervised Machine Learning Models
Context-dependent Explainability and Contestability for Trustworthy Medical Artificial Intelligence: Misclassification Identification of Morbidity Recognition Models in Preterm Infants
Quantum Max-Flow Min-Cut theorem
Optimal Blind Quantum Computation
Middleware Technologies for Cloud of Things - a survey
Sensemaking in Cybersecurity Incident Response: The Interplay of Organizations, Technology and Individuals
Attention-disentangled Uniform Orthogonal Feature Space Optimization for Few-shot Object Detection
AD-AVSR: Asymmetric Dual-stream Enhancement for Robust Audio-Visual Speech Recognition
1+1>2: A Synergistic Sparse and Low-Rank Compression Method for Large Language Models
Verteilung der Primzahlen und Asymptotik bezüglich der Kongruenzen der rationalen Punkte auf elliptischen Kurven über einem endlichen Körper
Adaptive Channel-Matched Detection for C-Band 64-Gbit/s Optical OOK System over 100-km Dispersion-Uncompensated Link
Bursty communication patterns facilitate spreading in a threshold-based epidemic dynamics
A subexponential parameterized algorithm for Interval Completion
Fractional order [PI] Controller and Smith-like Predictor Design for A Class of High Order Systems
Automated Generation of Research Workflows from Academic Papers: A Full-text Mining Framework
The Lost Art of Mathematical Modelling
Physics Informed Neural Networks for Control Oriented Thermal Modeling of Buildings
A Multi-label Continual Learning Framework to Scale Deep Learning Approaches for Packaging Equipment Monitoring
Approaching Test Time Augmentation in the Context of Uncertainty Calibration for Deep Neural Networks
Differential Privacy for Secure Machine Learning in Healthcare IoT-Cloud Systems
A Consensus Algorithm Based on Risk Assessment Model for Permissioned Blockchain
REACT2023: the first Multi-modal Multiple Appropriate Facial Reaction Generation Challenge
ISALux: Illumination and Segmentation Aware Transformer Employing Mixture of Experts for Low Light Image Enhancement
Support Recovery with Orthogonal Matching Pursuit in the Presence of Noise: A New Analysis
EasyDistill: A Comprehensive Toolkit for Effective Knowledge Distillation of Large Language Models
A Disparity Refinement Framework for Learning-based Stereo Matching Methods in Cross-domain Setting for Laparoscopic Images
Grid cells and their potential application in AI
A Comparison of Group Criticality Notions for Simple Games
Learning More with Less: Conditional PGGAN-based Data Augmentation for Brain Metastases Detection Using Highly-Rough Annotation on MR images
KALM: A Rule-based Approach for Knowledge Authoring and Question Answering
Efficient and Deep Person Re-Identification using Multi-Level Similarity
Table-GPT: Table-tuned GPT for Diverse Table Tasks
A Basic Algorithm for Generating Individualized Numerical Scale (BAGINS)
An empirical investigation of the Tribes and their Territories: are research specialisms rural and urban?
On The Convergence of First Order Methods for Quasar-Convex Optimization
Think-on-Graph 2.0: Deep and Interpretable Large Language Model Reasoning with Knowledge Graph-guided Retrieval
Human Gist Processing Augments Deep Learning Breast Cancer Risk Assessment
An Optimized YOLOv5 Based Approach For Real-time Vehicle Detection At Road Intersections Using Fisheye Cameras
HCRS: A hybrid clothes recommender system based on user ratings and product features
IndoSum: A New Benchmark Dataset for Indonesian Text Summarization
An Ontology based System for Cloud Infrastructure Services Discovery
NoSQL security: can my data-driven decision-making be affected from outside?
Classifying Images with CoLaNET Spiking Neural Network - the MNIST Example
Group key management based on semigroup actions
Does the Order of Fine-tuning Matter and Why?
Three Quantum Programming Language Parser Implementations for the Web
Planning as Inference in Epidemiological Models
FOF-X: Towards Real-time Detailed Human Reconstruction from a Single Image
e-Uber: A Crowdsourcing Platform for Electric Vehicle-based Ride- and Energy-sharing
Curiosity-driven RL for symbolic equation solving
Parallel-batched Interpolation Search Tree
Siamese Basis Function Networks for Defect Classification
Active Regression with Adaptive Huber Loss
A Realistic Face-to-Face Conversation System based on Deep Neural Networks
SKGE-SWIN: End-To-End Autonomous Vehicle Waypoint Prediction and Navigation Using Skip Stage Swin Transformer
Learnable Front Ends Based on Temporal Modulation for Music Tagging
Enhanced Diffuse Interface Method for Multiphase Flow Simulations Across All Mach Numbers
A Study of Continuous Vector Representationsfor Theorem Proving
Universality of asymptotic graph homomorphism
Energy and Memory-Efficient Federated Learning With Ordered Layer Freezing
PackKV: Reducing KV Cache Memory Footprint through LLM-Aware Lossy Compression
HySim-LLM: Embedding-Weighted Fine-Tuning Bounds and Manifold Denoising for Domain-Adapted LLMs
Integrating behavior analysis with machine learning to predict online learning performance: A scientometric review and empirical study
Fine-Grained Complexity of Analyzing Compressed Data: Quantifying Improvements over Decompress-And-Solve
Specialization vs diversification in research activities: the extent, intensity and relatedness of field diversification by individual scientists
Secured Outsourced Content Based Image Retrieval Based on Encrypted Signatures Extracted From Homomorphically Encrypted Images
A behavioural modelling approach to assess the impact of COVID-19 vaccine hesitancy
Transformation of marketing in the e-commerce
Comparing the Performance of Different x86 SIMD Instruction Sets for a Medical Imaging Application on Modern Multi- and Manycore Chips
Transformers, Contextualism, and Polysemy
Attentive Knowledge Graph Embedding for Personalized Recommendation
BEAT2AASIST model with layer fusion for ESDD 2026 Challenge
Distributed Compressive Sensing Based Doubly Selective Channel Estimation for Large-Scale MIMO Systems
On the instabilities of naive FEM discretizations for PDEs with sign-changing coefficients
A Cooperative Aerial System of A Payload Drone Equipped with Dexterous Rappelling End Droid for Cluttered Space Pickup
A Systematization of Security Vulnerabilities in Computer Use Agents
Optimal Spectrum Access for a Rechargeable Cognitive Radio User Based on Energy Buffer State
WiDRa - Enabling Millimeter-Level Differential Ranging Accuracy in Wi-Fi Using Carrier Phase
MobiLLM: An Agentic AI Framework for Closed-Loop Threat Mitigation in 6G Open RANs
Breaking Barriers: Do Reinforcement Post Training Gains Transfer To Unseen Domains?
An Exact Solver for Maximizing a Submodular Function Subject to a Knapsack Constraint
Improve Robustness of Reinforcement Learning against Observation Perturbations via l ∞ Lipschitz Policy Networks
Categorization in the Wild: Generalizing Cognitive Models to Naturalistic Data across Languages
InfoBridge: Mutual Information estimation via Bridge Matching
Multilevel Approximation for Generalized Method of Moments Estimators
AdamS: Momentum Itself Can Be A Normalizer for LLM Pretraining and Post-training
Skeleton structure inherent in discrete-time quantum walks
Adaptive Power Management for Wireless Base Station in Smart Grid Environment
Beyond Brightness Constancy: Learning Noise Models for Optical Flow
Local Structure-Preserving Relaxation Method for Charged Systems on Unstructured Meshes
Numerical Spectrum Linking: Identification of Governing PDE via Koopman-Chebyshev Approximation
LSTM Recurrent Neural Networks for Cybersecurity Named Entity Recognition
Long-tailed Recognition with Model Rebalancing
Domain Directed Dialogs for Decision Processes
A MATLAB Code for Three Dimensional Linear Elastostatics using Constant Boundary Elements
A Higher Order Unfitted Space-Time Finite Element Method for Coupled Surface-Bulk problems
Unsupervised Anomaly Detection From Semantic Similarity Scores
GM-Net: Learning Features with More Efficiency
A Surrogate-based Generic Classifier for Chinese TV Series Reviews
Random space-time sampling and reconstruction of sparse bandlimited graph diffusion field
Explainability in Deep Reinforcement Learning
Learning from Convenience Samples: A Case Study on Fine-Tuning LLMs for Survey Non-response in the German Longitudinal Election Study
Building Trustworthy NeuroSymbolic AI Systems: Consistency, Reliability, Explainability, and Safety
Minimum Width of Deep Narrow Networks for Universal Approximation
A Convex Optimization Based Demodulation and Equalization Scheme for Differential Impulse Radio UWB Systems with ISI
Almost-linear-time Weighted 𝓁 p -norm Solvers in Slightly Dense Graphs via Sparsification
On the Performance of Splitting Receiver with Joint Coherent and Non-Coherent Processing
Improving Retrieval-Augmented Generation in Medicine with Iterative Follow-up Questions
Reduced Order Model of a Generic Submarine for Maneuvering Near the Surface
A Comprehensive Analysis of Real-World Image Captioning and Scene Identification
Does Non-COVID19 Lung Lesion Help? Investigating Transferability in COVID-19 CT Image Segmentation