yusuke1997/dblp-id-title huggingface dataset:
Efficiently Manifesting Asynchronous Programming Errors in Android Apps
Nucleus subtype classification using inter-modality learning
Examining the Impact of Algorithm Awareness on Wikidata's Recommender System Recoin
The local low-dimensionality of natural images
Optimal quantizers for probability distributions on nonhomogeneous R-triangles
CROME: Cross-Modal Adapters for Efficient Multimodal LLM
Modelling Resilience in Cloud-Scale Data Centres
Prism: Dynamic and Flexible Benchmarking of LLMs Code Generation with Monte Carlo Tree Search
Fixed-time Stability of Discrete-time Autonomous Systems
Near-oracle Recovery Performance of Greedy Pursuits with Replacement against General Perturbations
Human-AI Collaboration Enables More Empathic Conversations in Text-based Peer-to-Peer Mental Health Support
Near Maximum Likelihood Decoding with Deep Learning
Exposing Previously Undetectable Faults in Deep Neural Networks
Enhancing LLM-based Test Generation for Hard-to-Cover Branches via Program Analysis
Young Flattenings in the Schur module basis
The Free Termination Property of Queries Over Time
A New Simple Vision Algorithm for Detecting the Enzymic Browning Defects in Golden Delicious Apples
DPHMM: Customizable Data Release with Differential Privacy via Hidden Markov Model
A class of multiplicative splitting iterations for solving the continuous Sylvester equation
Video Fill In the Blank using LR/RL LSTMs with Spatial-Temporal Attentions
HAROOD: Human Activity Classification and Out-of-Distribution Detection with Short-Range FMCW Radar
Local Adjoints for Simultaneous Preaccumulations with Shared Inputs
ImageSet2Text: Describing Sets of Images through Text
Generalized least squares can overcome the critical threshold in respondent-driven sampling
Learning What Matters: Causal Time Series Modeling for Arctic Sea Ice Prediction
On interpolation spaces of piecewise polynomials on mixed meshes
Graduality from Embedding-projection Pairs (Extended Version)
A Simple Baseline for Predicting Events with Auto-Regressive Tabular Transformers
Graph-Structured Kernel Design for Power Flow Learning using Gaussian Processes
Online deforestation detection
Mining Reasons For And Against Vaccination From Unstructured Data Using Nichesourcing and AI Data Augmentation
Analysis of Carrier Frequency Selective Offset Estimation - Using Zero-IF and ZCZIn MC-DS-CDMA
Universal Quantitative Abstraction: Categorical Duality and Logical Completeness for Probabilistic Systems
The Quantum Cryptography Approach: Unleashing the Potential of Quantum Key Reconciliation Protocol for Secure Communication
Meta-learning of Sequential Strategies
Deep Learning Head Model for Real-time Estimation of Entire Brain Deformation in Concussion
A Unified Approach to Dynamic Decision Problems with Asymmetric Information - Part I: Non-Strategic Agents
Hiding in the AI Traffic: Abusing MCP for LLM-Powered Agentic Red Teaming
Cut-Down de Bruijn Sequences
Model-Free Algorithm and Regret Analysis for MDPs with Long-Term Constraints
Exploiting a Mixture-of-Layers in an Electrocardiography Foundation Model
Deep Energy Estimator Networks
CVAE-H: Conditionalizing Variational Autoencoders via Hypernetworks and Trajectory Forecasting for Autonomous Driving
NeRF-SR: High-Quality Neural Radiance Fields using Super-Sampling
Why Most Optimism Bandit Algorithms Have the Same Regret Analysis: A Simple Unifying Theorem
Operational Rate-Distortion Performance of Single-source and Distributed Compressed Sensing
A Comparative Study of Multiple Deep Learning Algorithms for Efficient Localization of Bone Joints in the Upper Limbs of Human Body
Compositor: Bottom-up Clustering and Compositing for Robust Part and Object Segmentation
Predicting Contextual Sequences via Submodular Function Maximization
Spline-Based Space-Time Finite Element Approach for Fluid-Structure Interaction Problems With a Focus on Fully Enclosed Domains
LLM Unlearning using Gradient Ratio-Based Influence Estimation and Noise Injection
Data-Efficient CLIP-Powered Dual-Branch Networks for Source-Free Unsupervised Domain Adaptation
Unified Automatic Control of Vehicular Systems with Reinforcement Learning
Enhancing Generalization in Data-free Quantization via Mixup-class Prompting
Location-based Activity Behavior Deviation Detection for Nursing Home using IoT Devices
Visual Navigation by Generating Next Expected Observations
An Adaptive Fuzzy-Based System to Simulate, Quantify and Compensate Color Blindness
De-Biasing Models of Biased Decisions: A Comparison of Methods Using Mortgage Application Data
Sharp U-Net: Depthwise Convolutional Network for Biomedical Image Segmentation
The AI Economist: Optimal Economic Policy Design via Two-level Deep Reinforcement Learning
Fast Monte Carlo Simulation of Dynamic Power Systems Under Continuous Random Disturbances
ST-SACLF: Style Transfer Informed Self-Attention Classifier for Bias-Aware Painting Classification
BlobCtrl: A Unified and Flexible Framework for Element-level Image Generation and Editing
Auto.gov: Learning-based On-chain Governance for Decentralized Finance (DeFi)
Perception-aware Path Planning
One-time learning in a biologically-inspired Salience-affected Artificial Neural Network (SANN)
General Index Reduction by Embedding for Integro-differential-algebraic Equations
Beyond Citations: Measuring Idea-level Knowledge Diffusion from Research to Journalism and Policy-making
Modified Query Expansion Through Generative Adversarial Networks for Information Extraction in E-Commerce
Blockchain Consensus Formation while Solving Optimization Problems
Gradient flow finite element discretisations with energy-based adaptivity for excited states of Schrödingers equation
DeepRFTv2: Kernel-level Learning for Image Deblurring
Decentralized Control Problems with Substitutable Actions
Cauchy Annealing Schedule: An Annealing Schedule for Boltzmann Selection Scheme in Evolutionary Algorithms
LumiX: Structured and Coherent Text-to-Intrinsic Generation
Completely positive projections and biproducts
Color Image Enhancement In the Framework of Logarithmic Models
Event-triggered Control of Infinite-dimensional Systems
Generalized minimum distance functions
Assessing the generalization performance of SAM for ureteroscopy scene understanding
On the use of Artificial Neural Networks in Topology Optimisation
Contour Completion using Deep Structural Priors
GReaTer: Gradients over Reasoning Makes Smaller Language Models Strong Prompt Optimizers
Advanced Maximum Adhesion Tracking Strategies in Railway Traction Drives
Logic programming: laxness and saturation
Sybil-proof Mechanisms in Query Incentive Networks
Comparative Study of MAC Layer Protocols in Wireless Sensor Networks: A Survey
Detection and Tracking of General Movable Objects in Large 3D Maps
PyVRP: a high-performance VRP solver package
Deep connections between learning from limited labels & physical parameter estimation - inspiration for regularization
An Abstract Method Linearization for Detecting Source Code Plagiarism in Object-Oriented Environment
Selective Watchdog Technique for Intrusion Detection in Mobile Ad-Hoc Network
Rare Speed-up in Automatic Theorem Proving Reveals Tradeoff Between Computational Time and Information Value
Self-supervised Representation Learning of Neuronal Morphologies
A Non-Intrusive Data-Driven Reduced Order Model for Parametrized CFD-DEM Numerical Simulations
Relative-Based Scaling Law for Neural Language Models
Neuromorphic Artificial Intelligence Systems
DragD3D: Vertex-based Editing for Realistic Mesh Deformations using 2D Diffusion Priors
MedGrad E-CLIP: Enhancing Trust and Transparency in AI-Driven Skin Lesion Diagnosis
Critical Evaluation of Artificial Intelligence as Digital Twin of Pathologist for Prostate Cancer Pathology
The Informativeness of k-Means for Learning Gaussian Mixture Models
P3IV: Probabilistic Procedure Planning from Instructional Videos with Weak Supervision
Fine-grained Classification of Solder Joints with α-skew Jensen-Shannon Divergence
Incremental Maintenance Of Association Rules Under Support Threshold Change
Ship trajectory planning method for reproducing human operation at ports
Plexus Convolutional Neural Network (PlexusNet): A novel neural network architecture for histologic image analysis
Undergraduate Course Allocation through Competitive Markets
Damage Rate Laws and Failure Statistics for Lumped Coupled-Field Systems via Averaging
Synchronization on circles and spheres with nonlinear interactions
Towards system development methodologies: From software to cyber-physical domain
Let There be Light: Improved Traffic Surveillance via Detail Preserving Night-to-Day Transfer
Forward period analysis and the long term simulation of a periodic Hamiltonian system
A Multi-Modal Wildfire Prediction and Personalized Early-Warning System Based on a Novel Machine Learning Framework
HIVE-Net: Centerline-Aware HIerarchical View-Ensemble Convolutional Network for Mitochondria Segmentation in EM Images
Look how they have grown: Non-destructive Leaf Detection and Size Estimation of Tomato Plants for 3D Growth Monitoring
StructCoh: Structured Contrastive Learning for Context-Aware Text Semantic Matching
Model Counting for Conjunctive Queries Without Self-Joins
FocusedDropout for Convolutional Neural Network
DaST: Data-free Substitute Training for Adversarial Attacks
An exact and O(1) time heaviest and lightest hitters algorithm for sliding-window data streams
HKGAI-V1: Towards Regional Sovereign Large Language Model for Hong Kong
About a Discrete Cellular Soliton (computer simulation)
MIAFEx: An Attention-based Feature Extraction Method for Medical Image Classification
Efficient Framework for Learning Code Representations through Semantic-Preserving Program Transformations
Associative embeddings for large-scale knowledge transfer with self-assessment
CRISP: Hybrid Structured Sparsity for Class-aware Model Pruning
Massive MIMO with 1-bit ADC
Robust and Accurate Multi-view 2D/3D Image Registration with Differentiable X-ray Rendering and Dual Cross-view Constraints
Recursive Methods for Synthesizing Permutations on Limited-Connectivity Quantum Computers
GaitAdapt: Continual Learning for Evolving Gait Recognition
Mapping Human Muscle Force to Supernumerary Robotics Device for Overhead Task Assistance
Fairness in Machine Learning-based Hand Load Estimation: A Case Study on Load Carriage Tasks
Graph Auto-Encoder Via Neighborhood Wasserstein Reconstruction
Latency Aware Multi-Path Data Transmission for URLLC Services
On Convergent Dynamic Mode Decomposition and its Equivalence with Occupation Kernel Regression
Shortcuts to Thermodynamic Computing: The Cost of Fast and Faithful Erasure
Improving Weakly Supervised Temporal Action Localization by Exploiting Multi-resolution Information in Temporal Domain
Effective Capacity Analysis of HARQ-enabled D2D Communication in Multi-Tier Cellular Networks
A Summary on GUI Agents with Foundation Models Enhanced by Reinforcement Learning
On the Global Convergence of Actor-Critic: A Case for Linear Quadratic Regulator with Ergodic Cost
Contextual Bandits with Side-Observations
Human Body Weight Estimation Through Music-Induced Bed Vibrations
Learning a Gaussian Mixture for Sparsity Regularization in Inverse Problems
LLaVA-4D: Embedding SpatioTemporal Prompt into LMMs for 4D Scene Understanding
A New Chaos and Permutation Based Algorithm for Image and Video Encryption
Open Archives Initiative protocol development and implementation at arXiv
Learning from the memory of Atari 2600
Nonlinear spread of rumor and inoculation strategies in the nodes with degree dependent tie strength in complex networks
Modeling Tiered Pricing in the Internet Transit Market
Beyond Strong labels: Weakly-supervised Learning Based on Gaussian Pseudo Labels for The Segmentation of Ellipse-like Vascular Structures in Non-contrast CTs
RegMixup: Mixup as a Regularizer Can Surprisingly Improve Accuracy and Out Distribution Robustness
All Robots in One: A New Standard and Unified Dataset for Versatile, General-Purpose Embodied Agents
Interpreting Models by Allowing to Ask
Local Hypergraph Clustering using Capacity Releasing Diffusion
Leveraging In-Context Learning for Language Model Agents
Conforming, nonconforming and DG methods for the stationary generalized Burgers- Huxley equation
Autonomous and Collaborative Smart Home Security System (ACSHSS)
Bridging Worlds: Achieving Language Interoperability between Julia and Python in Scientific Computing
Towards an Algebraic Network Information Theory: Simultaneous Joint Typicality Decoding
Reducing the Amortization Gap in Variational Autoencoders: A Bayesian Random Function Approach
Asymptotically Good Quantum and Locally Testable Classical LDPC Codes
Packing Boundary-Anchored Rectangles and Squares
Automatic Data Retrieval for Cross Lingual Summarization
Planning Immediate Landmarks of Targets for Model-Free Skill Transfer across Agents
A Consumer BCI for Automated Music Evaluation Within a Popular On-Demand Music Streaming Service - Taking Listener's Brainwaves to Extremes
Improved MVDR Beamforming Using LSTM Speech Models to Clean Spatial Clustering Masks
Pixels to Signals: A Real-Time Framework for Traffic Demand Estimation
Kalib: Markerless Hand-Eye Calibration with Keypoint Tracking
Convex Graph Invariant Relaxations For Graph Edit Distance
Hi-UCD: A Large-scale Dataset for Urban Semantic Change Detection in Remote Sensing Imagery
Unsupervised Bilingual Lexicon Induction for Low Resource Languages
A Generalized Arc-Consistency Algorithm for a Class of Counting Constraints: Revised Edition that Incorporates One Correction
The Untold Secrets of Operational Wi-Fi Calling Services: Vulnerabilities, Attacks, and Countermeasures
Learning to Infer 3D Shape Programs with Differentiable Renderer
Don't Use Large Mini-Batches, Use Local SGD
Efficient Non-Compression Auto-Encoder for Driving Noise-based Road Surface Anomaly Detection
Robust Text Line Detection in Historical Documents: Learning and Evaluation Methods
Efficient RDF Graph Storage based on Reinforcement Learning
Secure and Privacy-Friendly Local Electricity Trading and Billing in Smart Grid
M^2UNet: MetaFormer Multi-scale Upsampling Network for Polyp Segmentation
UCLID5: Multi-Modal Formal Modeling, Verification, and Synthesis
Computing a clique tree with algorithm MLS (Maximal Label Search)
Semi-supervised Logistic Learning Based on Exponential Tilt Mixture Models
Scaling Neural-Network-Based Molecular Dynamics with Long-Range Electrostatic Interactions to 51 Nanoseconds per Day
Detecting Voice Phishing with Precision: Fine-Tuning Small Language Models
Prompt Engineering for Healthcare: Methodologies and Applications
Bicompletions of distance matrices
Exploring Novel Quality Diversity Methods For Generalization in Reinforcement Learning
Modeling Spatio-temporal Extremes via Conditional Variational Autoencoders
Flow-based Network Intrusion Detection Based on BERT Masked Language Model
Learning a Domain-Agnostic Visual Representation for Autonomous Driving via Contrastive Loss
Automatic Financial Trading Agent for Low-risk Portfolio Management using Deep Reinforcement Learning
Fusion-then-Distillation: Toward Cross-modal Positive Distillation for Domain Adaptive 3D Semantic Segmentation
Paddy Doctor: A Visual Image Dataset for Paddy Disease Classification
Social consensus through the influence of committed minorities
Differentially Private Log-Location-Scale Regression Using Functional Mechanism
On DoF of Active RIS-Assisted MIMO Interference Channel with Arbitrary Antenna Configurations: When Will RIS Help?
IMEX-RK methods for Landau-Lifshitz equation with arbitrary damping
Unsupervised Low-Light Image Enhancement via Histogram Equalization Prior
Measuring Communication in Parallel Communicating Finite Automata
Self Organizing Maps Whose Topologies Can Be Learned With Adaptive Binary Search Trees Using Conditional Rotations
Software defined demodulation of multiple frequency shift keying with dense neural network for weak signal communications
Day-ahead Schedule Considering the Participation of Electric Vehicles in Primary Frequency Response
Detecting Informal Organization Through Data Mining Techniques
A step towards the applicability of algorithms based on invariant causal learning on observational data
Maximum a posteriori testing in statistical inverse problems
Evaluating the Effectiveness of Coverage-Guided Fuzzing for Testing Deep Learning Library APIs
Cross-modal Ship Re-Identification via Optical and SAR Imagery: A Novel Dataset and Method
Cyclic space-filling curves and their clustering property
Face Attribute Prediction Using Off-The-Shelf Deep Learning Networks
Limits on Inferring T-cell Specificity from Partial Information
Resurrect Mask AutoRegressive Modeling for Efficient and Scalable Image Generation
Arabic Text Watermarking: A Review
A Vietnamese Question Answering System
An Android Cloud Storage Apps Forensic Taxonomy
Notes on a New Philosophy of Empirical Science
Towards Low Light Enhancement with RAW Images
Comparative Analysis of Machine Learning-Based Imputation Techniques for Air Quality Datasets with High Missing Data Rates
MiCi: A Novel Micro-Level Temporal Channel Imploration for Mobile Hosts
Interference Prediction in Wireless Networks: Stochastic Geometry meets Recursive Filtering
Delving into Robust Object Detection from Unmanned Aerial Vehicles: A Deep Nuisance Disentanglement Approach
O-Mem: Omni Memory System for Personalized, Long Horizon, Self-Evolving Agents
Derivation of Learning Rules for Coupled Principal Component Analysis in a Lagrange-Newton Framework
Solving Systems of Linear Equations: Locally and Asynchronously
Weight Distribution of the Weighted Coordinates Poset Block Space and Singleton Bound
Guiding Giants: Lightweight Controllers for Weighted Activation Steering in LLMs
Annotation graphs as a framework for multidimensional linguistic data analysis
Master of Puppets: Analyzing And Attacking A Botnet For Fun And Profit
An Ontology for Defect Detection in Metal Additive Manufacturing
SpatialCodec: Neural Spatial Speech Coding
Generalized Short Circuit Ratio for Grid Strength Assessment in Inhomogeneous Multi-infeed LCC-HVDC Systems
Human-Data Interaction Framework: A Comprehensive Model for a Future Driven by Data and Humans
Void Filling of Digital Elevation Models with Deep Generative Models
On Hadwiger's Number of a graph with partial information
Online Exemplar Fine-Tuning for Image-to-Image Translation
Randomized Online Algorithms for Adwords
Practical Phase Retrieval Using Double Deep Image Priors
Capacity of Sum-networks for Different Message Alphabets
Towards a Human-in-the-Loop Framework for Reliable Patch Evaluation Using an LLM-as-a-Judge
Satisfiability Modulo Theory based Methodology for Floorplanning in VLSI Circuits
A Preprocessing Framework for Efficient Approximate Bi-Objective Shortest-Path Computation in the Presence of Correlated Objectives
Structured Variational D -Decomposition for Accurate and Stable Low-Rank Approximation
Neural Architecture Search for Inversion
Data-driven Identification of Number of Unreported Cases for COVID-19: Bounds and Limitations
A contract-based method to specify stimulus-response requirements
Addressing Tokenization Inconsistency in Steganography and Watermarking Based on Large Language Models
Application of particle swarm optimization for enhanced cyclic steam stimulation in a offshore heavy oil reservoir
Time Invariant Error Bounds for Modified-CS based Sparse Signal Sequence Recovery
Towards and Ethical Framework in the Complex Digital Era
Context-aware Session-based Recommendation with Graph Neural Networks
Biomimetic Ultra-Broadband Perfect Absorbers Optimised with Reinforcement Learning
On the Secrecy Rate Region of a Fading Multiple-Antenna Gaussian Broadcast Channel with Confidential Messages and Partial CSIT
TexLiDAR: Automated Text Understanding for Panoramic LiDAR Data
VidCompress: Memory-Enhanced Temporal Compression for Video Understanding in Large Language Models
A Comprehensive Framework for Building Highly Secure, Network-Connected Devices: Chip to App
Fleet Sizing for the Flash Delivery Problem from Multiple Depots a Case Study in Amsterdam
MAC-Gaze: Motion-Aware Continual Calibration for Mobile Gaze Tracking
Evaluation of the Quality of Exercises for the Data Structures' eTextbook and Find the Difficult Topics Using Item Response Theory and Logged Data Analysis
A Finitist's Manifesto: Do we need to Reformulate the Foundations of Mathematics?
"Can We Detect Substance Use Disorder?": Knowledge and Time Aware Classification on Social Media from Darkweb
Measuring the Impact of Scene Level Objects on Object Detection: Towards Quantitative Explanations of Detection Decisions
Efficient and Accurate Arbitrary-Shaped Text Detection with Pixel Aggregation Network
Ensemble Classifier Design Tuned to Dataset Characteristics for Network Intrusion Detection
A Fast Graph Program for Computing Minimum Spanning Trees
Linear programming bounds for cliques in Paley graphs
NLPBench: Evaluating Large Language Models on Solving NLP Problems
Min-Max Elementwise Backward Error for Roots of Polynomials and a Corresponding Backward Stable Root Finder
Evolution of Things
LLMs are Imperfect, Then What? An Empirical Study on LLM Failures in Software Engineering
Distributed Linear Quadratic Gaussian for Multi-Robot Coordination with Localization Uncertainty
Environmental feedback drives cooperation in spatial social dilemmas
LLM-based Extraction of Contradictions from Patents
TeleMath: A Benchmark for Large Language Models in Telecom Mathematical Problem Solving
InteractiveVideo: User-Centric Controllable Video Generation with Synergistic Multimodal Instructions
Algorithm guided outlining of 105 pancreatic cancer liver metastases in Ultrasound
Structural Properties of the Stability of Jamitons
Discretized boundary surface reconstruction
When Will AI Transform Society? Swedish Public Predictions on AI Development Timelines
Agentic Feature Augmentation: Unifying Selection and Generation with Teaming, Planning, and Memories
Forgetting Any Data at Any Time: A Theoretically Certified Unlearning Framework for Vertical Federated Learning
Aggression in Hindi and English Speech: Acoustic Correlates and Automatic Identification
On the Achievable Degrees of Freedom for the 3-User Rank-Deficient MIMO Interference Channel
Scalable and Robust LLM Unlearning by Correcting Responses with Retrieved Exclusions
Finite-Time Bounds for Distributionally Robust TD Learning with Linear Function Approximation
Streaming Kernel PCA with Õ(√n) Random Features
Models of Visually Grounded Speech Signal Pay Attention To Nouns: a Bilingual Experiment on English and Japanese
Comparative Analysis of Quantum and Classical Support Vector Classifiers for Software Bug Prediction: An Exploratory Study
Bias-Variance Tradeoff in a Sliding Window Implementation of the Stochastic Gradient Algorithm
Assessing Demographic Bias in Named Entity Recognition
STARFlow: Scaling Latent Normalizing Flows for High-resolution Image Synthesis
Out of spuriousity: Improving robustness to spurious correlations without group annotations
Tustin neural networks: a class of recurrent nets for adaptive MPC of mechanical systems
The Wisdom and Persuadability of Threads
Mastering Continual Reinforcement Learning through Fine-Grained Sparse Network Allocation and Dormant Neuron Exploration
Stateless and Delivery Guaranteed Geometric Routing on Virtual Coordinate System
Opportunistic Routing in Wireless Communications via Learnable State-Augmented Policies
Bottlenecked Transformers: Periodic KV Cache Abstraction for Generalised Reasoning
A Note on Quantum Divide and Conquer for Minimal String Rotation
Ziv-Merhav estimation for hidden-Markov processes
Transient Performance of Tube-based Robust Economic Model Predictive Control
Reconstruction of Signals from Magnitudes of Redundant Representations
Phase Robustness Analysis for Structured Perturbations in MIMO LTI Systems
On the Computation of Matrices of Traces and Radicals of Ideals
Variational quantum compiling with double Q-learning
Efficient Temporally-Aware DeepFake Detection using H.264 Motion Vectors
Summary of a Literature Review in Scalability of QoS-aware Service Composition
KernelHaven - An Open Infrastructure for Product Line Analysis