yusuke1997/dblp-id-title huggingface dataset:
Robust Partial 3D Point Cloud Registration via Confidence Estimation under Global Context
Coreset-based Strategies for Robust Center-type Problems
Closed benchmarks for network community structure characterization
Generalization in Reinforcement Learning for Radio Access Networks
Crack opening calculation in phase-field modeling of fluid-filled fracture: A robust and efficient strain-based method
ContextQFormer: A New Context Modeling Method for Multi-Turn Multi-Modal Conversations
Relationship between boundary integral equation and radial basis function
ICLERB: In-Context Learning Embedding and Reranker Benchmark
Towards Efficient Convolutional Network Models with Filter Distribution Templates
Single-Input Multi-Output Model Merging: Leveraging Foundation Models for Dense Multi-Task Learning
N 2 : A Unified Python Package and Test Bench for Nearest Neighbor-Based Matrix Completion
Boundary integrated neural networks (BINNs) for 2D elastostatic and piezoelectric problems: Theory and MATLAB code
Mixture Density Networks for Classification with an Application to Product Bundling
Selection of training populations (and other subset selection problems) with an accelerated genetic algorithm (STPGA: An R-package for selection of training populations with a genetic algorithm)
QC-LDPC Codes from Difference Matrices and Difference Covering Arrays
Computing convolution on grammar-compressed text
Generating All Maximal Induced Subgraphs for Hereditary Connected-Hereditary and Rooted-Hereditary Properties
Comprehensive Energy Footprint Benchmarking of Strong Parallel Electrified Powertrain
Topology-Aware Latent Diffusion for 3D Shape Generation
Evaluating LLMs and Pre-trained Models for Text Summarization Across Diverse Datasets
This dataset does not exist: training models from generated images
SOTOPIA-Ω: Dynamic Strategy Injection Learning and Social Instruction Following Evaluation for Social Agents
Classical Simulability of Quantum Circuits with Shallow Magic Depth
MedSAMix: A Training-Free Model Merging Approach for Medical Image Segmentation
Isomorphism Theorems between Models of Mixed Choice (Revised)
An expressiveness hierarchy of Behavior Trees and related architectures
Autonomous Robotic Ultrasound System for Liver Follow-up Diagnosis: Pilot Phantom Study
On the size of error ball in DNA storage channels
COG: Connecting New Skills to Past Experience with Offline Reinforcement Learning
Algebraic Invariants of Codes on Weighted Projective Spaces
Fronthaul Compression and Precoding Design for C-RANs over Ergodic Fading Channel
Lossless Compression in HEVC with Integer-to-Integer Transforms
Caching in Combination Networks: A Novel Delivery by Leveraging the Network Topology
Online Rotor Resistance Adaptation Of Induction Motor Drive
High Performance Monte Carlo Simulation of Ising Model on TPU Clusters
Fast Botnet Detection From Streaming Logs Using Online Lanczos Method
Optimal Coding in Biological and Artificial Neural Networks
Addressing Antisocial Behavior in Multi-Party Dialogs Through Multimodal Representation Learning
Private Information Schemes Using Cyclic Codes
Differentiable Causal Discovery For Latent Hierarchical Causal Models
Multi-Faceted Studies on Data Poisoning can Advance LLM Development
Dual-Valued Functions of Dual Matrices with Applications in Causal Emergence
PLUME: Polyhedral Learning Using Mixture of Experts
Path Planning Using Probability Tensor Flows
Bimodal SegNet: Instance Segmentation Fusing Events and RGB Frames for Robotic Grasping
Order Optimal Coded Caching-Aided Multicast under Zipf Demand Distributions
Learning to Transfer Texture from Clothing Images to 3D Humans
Cancer-Net PCa-Gen: Synthesis of Realistic Prostate Diffusion Weighted Imaging Data via Anatomic-Conditional Controlled Latent Diffusion
Vascular Segmentation of Functional Ultrasound Images using Deep Learning
SafeMate: A Modular RAG-Based Agent for Context-Aware Emergency Guidance
Local MDI+: Local Feature Importances for Tree-Based Models
Physically Guided Deep Unsupervised Inversion for 1D Magnetotelluric Models
A Flexible Cell Classification for ML Projects in Jupyter Notebooks
TreeDiff: AST-Guided Code Generation with Diffusion LLMs
Polynomial time guarantees for sampling based posterior inference in high-dimensional generalised linear models
Pedestrian Models for Autonomous Driving Part I: low level models, from sensing to tracking
Supporting Business Document Workflows via Collection-Centric Information Foraging with Large Language Models
Overcoming Data Scarcity in Biomedical Imaging with a Foundational Multi-Task Model
Adaptive Latent Space Tuning for Non-Stationary Distributions
Discriminative Recurrent Sparse Auto-Encoders
Comparing statistical and deep learning techniques for parameter estimation of continuous-time stochastic differentiable equations
Formal structure of periodic system of elements
Automatic Detection of Complex Quotation Patterns in Aggadic Literature
Resonant and Stochastic Vibration in Neurorehabilitation
Why is it Difficult to Detect Sudden and Unexpected Epidemic Outbreaks in Twitter?
Functional Analysis of Variance for Association Studies
Challenges for Distributional Compositional Semantics
Entropy Adaptive Decoding: Dynamic Model Switching for Efficient Inference
Proceedings 7th International Workshop on Developments of Computational Methods, DCM 2011, Zurich, Switzerland, 3rd July 2011
Beyond Scalar Reward Model: Learning Generative Judge from Preference Data
On the Spectral Clustering of a Class of Multigrid Preconditioners
The World Wide Telescope: An Archetype for Online Science
An Adaptive Framework for Reliable Trajectory Following in Changing-Contact Robot Manipulation Tasks
On the Effects of Battery Imperfections in an Energy Harvesting Device
Towards automating the generation of derivative nouns in Sanskrit by simulating Panini
Mitigating Moral Hazard in Cyber Insurance Using Risk Preference Design
SCA-Net: A Self-Correcting Two-Layer Autoencoder for Hyper-spectral Unmixing
A Gaussian Scale Space Approach For Exudates Detection, Classification And Severity Prediction
Personalized Playback Technology: How Short Video Services Create Excellent User Experience
Qualitative detection of oil adulteration with machine learning approaches
Learning the optimal state-feedback via supervised imitation learning
CryptoTL: Private, efficient and secure transfer learning
In-Context Learning and Fine-Tuning GPT for Argument Mining
Adversarial Attacks on Binary Image Recognition Systems
Extending Neural Network Verification to a Larger Family of Piece-wise Linear Activation Functions
Compressed representation of learning spaces
Introducing High School Students to Version Control, Continuous Integration, and Quality Assurance
Anomaly Detection for Industrial Applications, Its Challenges, Solutions, and Future Directions: A Review
Distributed event-triggered control for multi-agent formation stabilization and tracking
Implicit Models: Expressive Power Scales with Test-Time Compute
Δ-UQ: Accurate Uncertainty Quantification via Anchor Marginalization
Adaptive Prototype Learning for Multimodal Cancer Survival Analysis
MeDiSumQA: Patient-Oriented Question-Answer Generation from Discharge Letters
Complex Network Modelling with Power-law Activating Patterns and Its Evolutionary Dynamics
LTD: Low Temperature Distillation for Robust Adversarial Training
Construction of Small Worlds in the Physical Topology of Wireless Networks
Data-driven modeling of time-domain induced polarization
Multi-view Gradient Consistency for SVBRDF Estimation of Complex Scenes under Natural Illumination
Universal Service in times of Reform: Affordability and accessibility of telecommunication services in Latin America
DLPaper2Code: Auto-generation of Code from Deep Learning Research Papers
Source-sink cooperation dynamics constrain institutional evolution in a group-structured society
Variational Autoencoder for Anti-Cancer Drug Response Prediction
RealClass: A Framework for Classroom Speech Simulation with Public Datasets and Game Engines
Graph Learning under Distribution Shifts: A Comprehensive Survey on Domain Adaptation, Out-of-distribution, and Continual Learning
Reconstruction and analysis of negatively buoyant jets with interpretable machine learning
Using the Buffer to Avoid Rebuffers: Evidence from a Large Video Streaming Service
Learning Subjective Time-Series Data via Utopia Label Distribution Approximation
Near-Optimal Channel Estimation for Dense Array Systems
A Polarization and Radiomics Feature Fusion Network for the Classification of Hepatocellular Carcinoma and Intrahepatic Cholangiocarcinoma
Guiding the Creation of Deep Learning-based Object Detectors
Comment on "An Efficient Privacy-Preserving Ranked Multi-Keyword Retrieval for Multiple Data Owners in Outsourced Cloud"
Psycholinguistic Word Features: a New Approach for the Evaluation of LLMs Alignment with Humans
Few-shot Detection of Anomalies in Industrial Cyber-Physical System via Prototypical Network and Contrastive Learning
Google Quantum AI's Quest for Error-Corrected Quantum Computers
Personalized Federated Learning for Intelligent IoT Applications: A Cloud-Edge based Framework
Clustering Words by Projection Entropy
An Analysis of Conversational Volatility During Telecollaboration Sessions for Second Language Learning
Hybrid, Optical and Wireless Near-Gigabit Communications System
Bridge the Gap: Measuring and Analyzing Technical Data for Social Trust between Smartphones
A Data-Driven Machine Learning Approach for Consumer Modeling with Load Disaggregation
ISIC 2017 Skin Lesion Segmentation Using Deep Encoder-Decoder Network
Power Measurement Based Channel Estimation for IRS-Enhanced Wireless Coverage
Verifying Temporal Regular Properties of Abstractions of Term Rewriting Systems
Robotic System for Chemical Experiment Automation with Dual Demonstration of End-effector and Jig Operations
Analysis of a fully discretized FDM-FEM scheme for solving thermo-elastic-damage coupled nonlinear PDE systems
Energy Efficient Location Aided Routing Protocol for Wireless MANETs
Control Color: Multimodal Diffusion-based Interactive Image Colorization
Example-based Synthesis of Static Analysis Rules
The Memory of Science: Inflation, Myopia, and the Knowledge Network
Reliable and Real-Time End-to-End Delivery Protocol in Wireless Sensor Networks
Measuring AI Alignment with Human Flourishing
Multi-agent Communication with Graph Information Bottleneck under Limited Bandwidth
Notes on Equitable Partition into Matching Forests in Mixed Graphs and into b-branchings in Digraphs
Non-Uniform Diffusion Models
Efficient uniform approximation using Random Vector Functional Link networks
A Scaling Law for Synthetic-to-Real Transfer: A Measure of Pre-Training
STEEL: Singularity-aware Reinforcement Learning
Post-hoc Probabilistic Vision-Language Models
Outlier Detection in Smart Grid Communication
Transforming the Structure of Network Interconnection and Transport
Modeling and Validation of Electrical Load Profiling in Residential Buildings in Singapore
When elephants nodded and dolls spoke: Bringing together robotics and storytelling for environmental literacy
Beyond Role-Based Surgical Domain Modeling: Generalizable Re-Identification in the Operating Room
3DMambaComplete: Exploring Structured State Space Model for Point Cloud Completion
Scaling Bayesian inference of mixed multinomial logit models to very large datasets
Decision-making algorithm based on the energy of interval-valued fuzzy soft sets
Limit-behavior of a hybrid evolutionary algorithm for the Hasofer-Lind reliability index problem
Online Joint Replenishment Problem with Arbitrary Holding and Backlog Costs
Toric Eigenvalue Methods for Solving Sparse Polynomial Systems
Tree algorithms for set reconciliation
Interpreting and learning voice commands with a Large Language Model for a robot system
Knowledge-Based Dataset for Training PE Malware Detection Models
FastRPB: a Scalable Relative Positional Encoding for Long Sequence Tasks
Flow-Distilled IP Two-Stream Networks for Compressed Video Action Recognition
Automatic Lexical Simplification for Turkish
AI and personalized learning: bridging the gap with modern educational goals
Approximate NFA Universality and Related Problems Motivated by Information Theory
On-site Online Feature Selection for Classification of Switchgear Actuations
Kernel-Independent Sum-of-Exponentials with Application to Convolution Quadrature
SLM-Based Agentic AI with P-C-G: Optimized for Korean Tool Use
A note on subortogonal lattices
Comparative Study of Open-loop Transmit Diversity Schemes for Four Transmit Antennas in Coded OFDM Systems
The conjugated null space method of blind PSF estimation and deconvolution optimization
Nonlinearly Stable Flux Reconstruction High-Order Methods in Split Form
An Adaptive Sublinear-Time Block Sparse Fourier Transform
PyTSC: A Unified Platform for Multi-Agent Reinforcement Learning in Traffic Signal Control
An energy-based deep splitting method for the nonlinear filtering problem
SigBERT: Combining Narrative Medical Reports and Rough Path Signature Theory for Survival Risk Estimation in Oncology
The Ability of Large Language Models to Evaluate Constraint-satisfaction in Agent Responses to Open-ended Requests
Convergence Analysis of Structure-Preserving Numerical Methods Based on Slotboom Transformation for the Poisson-Nernst-Planck Equations
A Natural Language Query Interface for Searching Personal Information on Smartwatches
Controllable Planning, Responsibility, and Information in automatic Driving Technology
Limitations of Pinned AUC for Measuring Unintended Bias
The Multivariate Theory of Functional Connections: Theory, Proofs, and Application in Partial Differential Equations
EKMP: Generalized Imitation Learning with Adaptation, Nonlinear Hard Constraints and Obstacle Avoidance
Every Angle Is Worth A Second Glance: Mining Kinematic Skeletal Structures from Multi-view Joint Cloud
Harmonic evolutions on graphs
Uncertainty propagation in neural networks for sparse coding
A Fast Training-Free Compression Framework for Vision Transformers
Analytic inversion of a Radon transform on double circular arcs with applications in Compton Scattering Tomography
FireMatch: A Semi-Supervised Video Fire Detection Network Based on Consistency and Distribution Alignment
Learning Geometrically Disentangled Representations of Protein Folding Simulations
Harnessing Quantum Entanglement: Comprehensive Strategies for Enhanced Communication and Beyond in Quantum Networks
Reinforcement of Explainability of ChatGPT Prompts by Embedding Breast Cancer Self-Screening Rules into AI Responses
Meta Arcade: A Configurable Environment Suite for Meta-Learning
L ∞ norm error estimates for HDG methods applied to the Poisson equation with an application to the Dirichlet boundary control problem
How good is my GAN?
Algorithmic infeasibility of community detection in higher-order networks
Provable FDR Control for Deep Feature Selection: Deep MLPs and Beyond
Synchronous Relaxation for Parallel Ising Spin Simulations
Assortment Optimization under Unknown MultiNomial Logit Choice Models
Ring loss: Convex Feature Normalization for Face Recognition
Locating Tables in Scanned Documents for Reconstructing and Republishing (ICIAfS14)
Simple Two-wheel Self-Balancing Robot Implementation
Assessing wildfire susceptibility in Iran: Leveraging machine learning for geospatial analysis of climatic and anthropogenic factors
SCI: A spectrum concentrated implicit neural compression for biomedical data
Multi-Modal Recognition of Worker Activity for Human-Centered Intelligent Manufacturing
A Generative Model for Relation Extraction and Classification
Harnessing multiple LLMs for Information Retrieval: A case study on Deep Learning methodologies in Biodiversity publications
Eclipse: Practicability Beyond 1NN and Skyline
Magnetogram-to-Magnetogram: Generative Forecasting of Solar Evolution
Self-Selected or Mandated, Open Access Increases Citation Impact for Higher Quality Research
Fast-converging Conditional Generative Adversarial Networks for Image Synthesis
Table-Of-Contents generation on contemporary documents
Filtering for Aggregate Hidden Markov Models with Continuous Observations
Release as a Contract: A Concept of Meta-Maintenance for the Entire FLOSS Ecosystem
Volumetric landmark detection with a multi-scale shift equivariant neural network
UTrace: Poisoning Forensics for Private Collaborative Learning
Semantic-Aware Resource Management for C-V2X Platooning via Multi-Agent Reinforcement Learning
Numerical Methods for Kernel Slicing
Data streaming platform for crowd-sourced vehicle dataset generation
Satellite Direct-to-Device from Low Earth Orbit: Techno-Economic Analysis of a Global Non-Terrestrial Network
Smart Scribbles for Image Mating
Chatbots as social companions: How people perceive consciousness, human likeness, and social health benefits in machines
Nonexistence of Generalized Bent Functions From $Z_{2}^{n}$ to $Z_{m}$
Software engineering for deep learning applications: usage of SWEng and MLops tools in GitHub repositories
Lumina-OmniLV: A Unified Multimodal Framework for General Low-Level Vision
Singular gradient flow of the distance function and homotopy equivalence
Residual-Guide Feature Fusion Network for Single Image Deraining
Network Topology Adaptation and Interference Coordination for Energy Saving in Heterogeneous Networks
Knowledge Management Skills for 21st Century Library Professionals in India A Study
A comprehensive study on the prediction reliability of graph neural networks for virtual screening
Adaptive MPC under Time Varying Uncertainty: Robust and Stochastic
CoMiX: Cross-Modal Fusion with Deformable Convolutions for HSI-X Semantic Segmentation
TKDP: Threefold Knowledge-enriched Deep Prompt Tuning for Few-shot Named Entity Recognition
We Don't Need Another Hero? The Impact of "Heroes" on Software Development
3D Camouflaging Object using RGB-D Sensors
CronusVLA: Transferring Latent Motion Across Time for Multi-Frame Prediction in Manipulation
Mapping Technology Space by Normalizing Technology Relatedness Networks
Analytical Derivatives for Differentiable Renderer: 3D Pose Estimation by Silhouette Consistency
Robust economic model predictive control with zone tracking
Unveiling Architecture Documentation: Brazilian Stakeholders in Perspective
Developing and Validating a High-Throughput Robotic System for the Accelerated Development of Porous Membranes
A unifying approach on bias and variance analysis for classification
Transfer Learning for Risk Classification of Social Media Posts: Model Evaluation Study
Coded Caching with Nonuniform Demands
Probability Prediction based Reliable Opportunistic (PRO) Routing Algorithm for VANETs
pdfPapers: shell-script utilities for frequency-based multi-word phrase extraction from PDF documents
Self-Supervised Learning for Pre-training Capsule Networks: Overcoming Medical Imaging Dataset Challenges
Another perspective on Default Reasoning
Mobile Video Action Recognition
HiD-VAE: Interpretable Generative Recommendation via Hierarchical and Disentangled Semantic IDs
Unlocking Your Sales Insights: Advanced XGBoost Forecasting Models for Amazon Products
LAID: Lightweight AI-Generated Image Detection in Spatial and Spectral Domains
The Runge-Kutta discontinuous Galerkin method with compact stencils for hyperbolic conservation laws
Pixel-BERT: Aligning Image Pixels with Text by Deep Multi-Modal Transformers
FAC-FACodec: Controllable Zero-Shot Foreign Accent Conversion with Factorized Speech Codec
Constraints as Rewards: Reinforcement Learning for Robots without Reward Functions
Automated Metadata Harmonization Using Entity Resolution & Contextual Embedding
Generating GitHub Repository Descriptions: A Comparison of Manual and Automated Approaches
Drawing Conclusions from Draws: Rethinking Preference Semantics in Arena-Style LLM Evaluation
Recover and RELAX: Concern-Oriented Software Architecture Recovery for Systems Development and Maintenance
Point Jacobi-type preconditioning and parameter tuning for Calderon-preconditioned Burton-Miller method in transmission problems
EmoAgent: Assessing and Safeguarding Human-AI Interaction for Mental Health Safety
Case study and analysis of WAN Optimization pre-requirements
Counterfactual Causal Inference in Natural Language with Large Language Models
Enhancing Unsupervised Anomaly Detection with Score-Guided Network
Effects of Real-Life Traffic Sign Alteration on YOLOv7- an Object Recognition Model
Cross-view Asymmetric Metric Learning for Unsupervised Person Re-identification
TextAttack: Lessons learned in designing Python frameworks for NLP
Instantons causing iterative decoding to cycle
Latent Distance Estimation for Random Geometric Graphs
Demystifying Quantum Power Flow: Unveiling the Limits of Practical Quantum Advantage
Transparency's Influence on Human-Collective Interactions
Sliding Windows with Limited Storage
Explaining Non-Bisimilarity in a Coalgebraic Approach: Games and Distinguishing Formulas
Which research in design creativity and innovation? Let us not forget the reality of companies
Using Machine Learning at Scale in HPC Simulations with SmartSim: An Application to Ocean Climate Modeling
Deviant Learning Algorithm: Learning Sparse Mismatch Representations through Time and Space
A Light Perspective for 3D Object Detection
LexGenie: Automated Generation of Structured Reports for European Court of Human Rights Case Law
An Experimental Evaluation of Imputation Models for Spatial-Temporal Traffic Data
Spreadsheets on the Move: An Evaluation of Mobile Spreadsheets
Credible Remote Sensing Scene Classification Using Evidential Fusion on Aerial-Ground Dual-view Images
MesaNet: Sequence Modeling by Locally Optimal Test-Time Training
Bilingual Words and Phrase Mappings for Marathi and Hindi SMT
Identity Emergence in the Context of Vaccine Criticism in France
Diffusion-EDFs: Bi-equivariant Denoising Generative Modeling on SE(3) for Visual Robotic Manipulation
Machine Learning-Driven Analysis of kSZ Maps to Predict CMB Optical Depth τ
Reservoir computing with large valid prediction time for the Lorenz system
Gradient Surgery for Safe LLM Fine-Tuning
DeepSeagrass Dataset
Graph Analytics for anomaly detection in homogeneous wireless networks - A Simulation Approach
Guidelines for the Search Strategy to Update Systematic Literature Reviews in Software Engineering
On Analog Gradient Descent Learning over Multiple Access Fading Channels
ConUNETR: A Conditional Transformer Network for 3D Micro-CT Embryonic Cartilage Segmentation
A Survey on Dynamic Analysis of the Costas Loop
TruthBot: An Automated Conversational Tool for Intent Learning, Curated Information Presenting, and Fake News Alerting
Efficient Reachability Ratio Computation for 2-hop Labeling Scheme
Semi-Supervised Learning for Dose Prediction in Targeted Radionuclide: A Synthetic Data Study
A Case for a Programmable Edge Storage Middleware
Adaptive Structured Sparse Network for Efficient CNNs with Feature Regularization
Populations of Spiking Neurons for Reservoir Computing: Closed Loop Control of a Compliant Quadruped
SE-GCL: An Event-Based Simple and Effective Graph Contrastive Learning for Text Representation
Input-to-state stability meets small-gain theory
PystachIO: Efficient Distributed GPU Query Processing with PyTorch over Fast Networks & Fast Storage
Formal vs self-organised knowledge systems: a network approach
Spectrum-Informed Multistage Neural Networks: Multiscale Function Approximators of Machine Precision
VOGUE: Answer Verbalization through Multi-Task Learning
Decoupling by local random unitaries without simultaneous smoothing, and applications to multi-user quantum information tasks
Quantifying the structural stability of simplicial homology
Beyond Markov Logic: Efficient Mining of Prediction Rules in Large Graphs
Smart Grid Demand Monitoring Model
Software Startup Practices - Software Development in Startups through the Lens of the Essence Theory of Software Engineering
Deep Robust Reversible Watermarking
A Soft Method for Outliers Detection at the Edge of the Network
Predictive coding, precision and natural gradients
Publicly Verifiable Outsourced Computation with a Key Distribution Centre
Scalable Coverage Trajectory Synthesis on GPUs as Statistical Inference
EMBRE: Entity-aware Masking for Biomedical Relation Extraction