yusuke1997/dblp-id-title huggingface dataset:
A Discontinuous Galerkin Consistent Splitting Method for the Incompressible Navier-Stokes Equations
Creative Exploration Using Topic Based Bisociative Networks
Scheme Macros for Non-linear Pattern Matching with Backtracking for Non-free Data Types
Modeling of progressive high-cycle fatigue in composite laminates accounting for local stress ratios
On the Uniqueness of Simultaneous Rational Function Reconstruction
Learning Densities Conditional on Many Interacting Features
Spectral Sentinel: Scalable Byzantine-Robust Decentralized Federated Learning via Sketched Random Matrix Theory on Blockchain
promptolution: A Unified, Modular Framework for Prompt Optimization
Towards Robust Unsupervised Attention Prediction in Autonomous Driving
Generalized Jensen Inequalities with Application to Stability Analysis of Systems with Distributed Delays over Infinite Time-Horizons
Content-Adaptive Variable Framerate Encoding Scheme for Green Live Streaming
Quantum correlations in two-level atomic system over Herring-Flicker coupling
Beyond URLs: Metadata Diversity and Position for Efficient LLM Pretraining
Trust Under Siege: Label Spoofing Attacks against Machine Learning for Android Malware Detection
Weighted implicit-explicit discontinuous Galerkin methods for two-dimensional Ginzburg-Landau equations on general meshes
Social Networks and Collective Intelligence: A Return to the Agora
Semantic Enrichment of the Quantum Cascade Laser Properties in Text- A Knowledge Graph Generation Approach
Clustering of Electromagnetic Showers and Particle Interactions with Graph Neural Networks in Liquid Argon Time Projection Chambers Data
Decoding and Diversity in Machine Translation
On learning agent-based models from data
Assessing local deformation and computing scalar curvature with nonlinear conformal regularization of decoders
Iterative Variable Reordering: Taming Huge System Families
Why Machine Learning Models Fail to Fully Capture Epistemic Uncertainty
Local-Global Attention: An Adaptive Mechanism for Multi-Scale Feature Integration
Solving the Schrodinger equation with genetic algorithms: a practical approach
Plateau Phenomenon in Gradient Descent Training of ReLU networks: Explanation, Quantification and Avoidance
Image Animation with Keypoint Mask
Understanding and Alleviating Memory Consumption in RLHF for LLMs
Evolutionary Games for Multiple Access Control
Improving Patent Mining and Relevance Classification using Transformers
Physics-informed neural networks viewpoint for solving the Dyson-Schwinger equations of quantum electrodynamics
Exponential integrators for non-linear diffusion
Dissecting contact tracing apps in the Android platform
A quantitative assessment of the effect of different algorithmic schemes to the task of learning the structure of Bayesian Networks
Cognitive Radio with Random Number of Secondary Number of Users
Discrete maximal regularity for the finite element approximation of the Stokes operator and its application
A stabilized total pressure-formulation of the Biot's poroelasticity equations in frequency domain: numerical analysis and applications
Limit Theorems for Stochastic Gradient Descent with Infinite Variance
Modeling ventilation in a low-income house in Dhaka, Bangladesh
Asynchronous Compute-and-Forward/Integer-Forcing with Qusai-Cyclic Codes
Mobile Human Ad Hoc Networks: A Communication Engineering Viewpoint on Interhuman Airborne Pathogen Transmission
New Hardness Results for Guarding Orthogonal Polygons with Sliding Cameras
Identification of Structural Model for Chaotic Systems
Robust Optimality of Bundling Goods Beyond Finite Variance
Large-scale Validation of Counterfactual Learning Methods: A Test-Bed
Fault detection system for Arabic language
Quality change: norm or exception? Measurement, Analysis and Detection of Quality Change in Wikipedia
Exploring Test-Time Adaptation for Object Detection in Continually Changing Environments
What Trends in Chinese Social Media
Mitigating Sex Bias in Audio Data-driven COPD and COVID-19 Breathing Pattern Detection Models
Tight bound on the maximum number of shortest unique substrings
Leveraging deep active learning to identify low-resource mobility functioning information in public clinical notes
The Wilson Machine for Image Modeling
HyperThumbnail: Real-time 6K Image Rescaling with Rate-distortion Optimization
Material Property Prediction with Element Attribute Knowledge Graphs and Multimodal Representation Learning
Mean Field Network based Graph Refinement with application to Airway Tree Extraction
Joint stereo 3D object detection and implicit surface reconstruction
On lines and Joints
Formal Analysis of UMTS Privacy
Reasoning-Guided Claim Normalization for Noisy Multilingual Social Media Posts
SVFit: Parameter-Efficient Fine-Tuning of Large Pre-Trained Models Using Singular Values
TADA: Temporal Adversarial Data Augmentation for Time Series Data
Transient Analysis of a Resource-limited Recovery Policy for Epidemics: a Retrial Queueing Approach
Dissecting Deep Networks into an Ensemble of Generative Classifiers for Robust Predictions
Emotional Design
Investigating the Representation of Backchannels and Fillers in Fine-tuned Language Models
Machine Code Optimization - Improving Executable Object Code
Finding large $H$-colorable subgraphs in hereditary graph classes
Confidence-aware Adversarial Learning for Self-supervised Semantic Matching
Improving Optimization Bounds using Machine Learning: Decision Diagrams meet Deep Reinforcement Learning
A Self-consistent-field Iteration for Orthogonal Canonical Correlation Analysis
Evolution of the Chinese Guarantee Network and Its Implication for Risk Management: Impacts from Financial Crisis and Stimulus Program
Analysis, Modeling and Design of Personalized Digital Learning Environment
Interactive AI and Human Behavior: Challenges and Pathways for AI Governance
Classifying document types to enhance search and recommendations in digital libraries
Inching Towards Automated Understanding of the Meaning of Art: An Application to Computational Analysis of Mondrian's Artwork
SeqROCTM: A Matlab toolbox for the analysis of Sequence of Random Objects driven by Context Tree Models
Implementation of Robust Face Recognition System Using Live Video Feed Based on CNN
Modeling spatial social complex networks for dynamical processes
Improved selective background Monte Carlo simulation at Belle II with graph attention networks and weighted events
On equations over sets of integers
EvEval: A Comprehensive Evaluation of Event Semantics for Large Language Models
Monitoring Cascading Changes of Resources in the Kubernetes Control Plane
Multitrack Music Transformer: Learning Long-Term Dependencies in Music with Diverse Instruments
Extracting Formal Specifications from Documents Using LLMs for Automated Testing
A Full-System Simulation Framework for CXL-Based SSD Memory System
The Complexity of the Path-following Solutions of Two-dimensional Sperner/Brouwer Functions
Data Driven Automatic Electrical Machine Preliminary Design with Artificial Intelligence Expert Guidance
Towards Robotic Laboratory Automation Plug & Play: Teaching-free Robot Integration with the LAPP Digital Twin
On the Underapproximation of Reach Sets of Abstract Continuous-Time Systems
From rules to runs: A dynamic epistemic take on imperfect information games
A Comprehensive Study of CRM through Data Mining Techniques
Maximum Weighted Sum Rate of Multi-Antenna Broadcast Channels
TheraQuest: A Gamified, LLM-Powered Simulation for Massage Therapy Training
ViCom: Benchmark and Methods for Video Comprehension
Voxelwise nonlinear regression toolbox for neuroimage analysis: Application to aging and neurodegenerative disease modeling
Towards Massive Multilingual Holistic Bias
Advanced Cloud Privacy Threat Modeling
Adaptive Rate Allocation for View-Aware Point-Cloud Streaming
Generalization bounds for regression and classification on adaptive covering input domains
KTVIC: A Vietnamese Image Captioning Dataset on the Life Domain
A fixed-time stable dynamical model for solving EVLCPs
Towards Transactive Energy: An Analysis of Information-related Practical Issues
A Systematic Approach to Estimate the Security Posture of a Cyber Infrastructure: A Technical Report
Coexistence of Communications and Cognitive MIMO Radar: Waveform Design and Prototype
Dynamic Analysis of Nonlinear Civil Engineering Structures using Artificial Neural Network with Adaptive Training
Comparison of Embedded Spaces for Deep Learning Classification
BATS: Best Action Trajectory Stitching
Session-based Complementary Fashion Recommendations
Detecting the Saliency of Remote Sensing Images Based on Sparse Representation of Contrast-weighted Atoms
Time-series image denoising of pressure-sensitive paint data by projected multivariate singular spectrum analysis
Dialectal Toxicity Detection: Evaluating LLM-as-a-Judge Consistency Across Language Varieties
A Comparative and Experimental Study on Automatic Question Answering Systems and its Robustness against Word Jumbling
SARiSsa - A Mobile Application for the Proactive Control of SARS-CoV-2 Spread
VOGUE: Guiding Exploration with Visual Uncertainty Improves Multimodal Reasoning
Diffusion-based Radiotherapy Dose Prediction Guided by Inter-slice Aware Structure Encoding
Topological Feature Search in Time-Varying Multifield Data
ExDAG: Exact learning of DAGs
Towards Fuzzy-Hard Clustering Mapping Processes
Providing Wireless Coverage to High-rise Buildings Using UAVs
Freetures: Localization in Signed Distance Function Maps
Causal models in string diagrams
Joint universal lossy coding and identification of stationary mixing sources
Sportoonizer: Augmenting Sports Highlights' Narration and Visual Impact via Automatic Manga B-Roll Generation
Learning Neural Programs To Parse Programs
Expert-Driven Genetic Algorithms for Simulating Evaluation Functions
ECG Arrhythmia Classification Using Transfer Learning from 2-Dimensional Deep CNN Features
Improving Convergence for Quantum Variational Classifiers using Weight Re-Mapping
Robot hazards: from safety to security
Hallucination Detox: Sensitive Neuron Dropout (SeND) for Large Language Model Training
SnapMoGen: Human Motion Generation from Expressive Texts
Self-Sensing Hysteresis-Type Bearingless Motor
Memory Search and Sense from Shallow Hierarchies
N-Gram Induction Heads for In-Context RL: Improving Stability and Reducing Data Needs
A2SB: Audio-to-Audio Schrodinger Bridges
A Fibonacci's complement numeration system
Fine-tuning Whisper on Low-Resource Languages for Real-World Applications
Elicitation of Adaptive Requirements Using Creativity Triggers: A Controlled Experiment
Can P2P Networks be Super-Scalable?
BayesL: Towards a Logical Framework for Bayesian Networks
Benchmarking Reinforcement Learning Methods for Dexterous Robotic Manipulation with a Three-Fingered Gripper
MIBench: A Comprehensive Benchmark for Model Inversion Attack and Defense
Scatterbrained: A flexible and expandable pattern for decentralized machine learning
Structured-Noise Masked Modeling for Video, Audio and Beyond
FeatureGS: Eigenvalue-Feature Optimization in 3D Gaussian Splatting for Geometrically Accurate and Artifact-Reduced Reconstruction
Improved model-free bounds for multi-asset options using option-implied information and deep learning
Patterns in Illinois Educational School Data
Minimum cost polygon overlay with rectangular shape stock panels
A Comparative Study on Linguistic Feature Selection in Sentiment Polarity Classification
Domain Adaptation via Bidirectional Cross-Attention Transformer
Generative Model Based Noise Robust Training for Unsupervised Domain Adaptation
From Galaxy Zoo DECaLS to BASS/MzLS: detailed galaxy morphology classification with unsupervised domain adaption
On Value Recomputation to Accelerate Invisible Speculation
Performance and accuracy assessments of an incompressible fluid solver coupled with a deep Convolutional Neural Network
Hierarchical Neural Data Synthesis for Semantic Parsing
A Stochastic Bundle Method for Interpolating Networks
Bicomp: A Bilayer Scalable Nakamoto Consensus Protocol
Computer vision tasks for intelligent aerospace missions: An overview
Practical Statistical Considerations for the Clinical Validation of AI/ML-enabled Medical Diagnostic Devices
ClearDepth: Enhanced Stereo Perception of Transparent Objects for Robotic Manipulation
CLIPArTT: Light-weight Adaptation of CLIP to New Domains at Test Time
Transit Fare Arbitrage: Case Study of San Francisco Bay Area Rapid Transit (BART) System
Unsupervised Learning of the Total Variation Flow
Rolling in the Deep - Hybrid Locomotion for Wheeled-Legged Robots using Online Trajectory Optimization
Parallel Small Vertex Connectivity in Near-Linear Work and Polylogarithmic Depth
UniZyme: A Unified Protein Cleavage Site Predictor Enhanced with Enzyme Active-Site Knowledge
Modelling and analysis of offshore energy hubs
DyFEn: Agent-Based Fee Setting in Payment Channel Networks
Raspberry Pi and Arduino Uno Working together as a Basic Meteorological Station
Learning to Simulate Aerosol Dynamics with Graph Neural Networks
Improvements on Recommender System based on Mathematical Principles
ViTransPAD: Video Transformer using convolution and self-attention for Face Presentation Attack Detection
Ontology-based Approach for Semantic Data Extraction from Social Big Data: State-of-the-art and Research Directions
How Complex is a Complex Network? Insights from Linear Systems Theory
DAMNED: A Distributed and Multithreaded Neural Event-Driven simulation framework
Delay-Exponent of Bilayer Anytime Code
Teaching Robots to Do Object Assembly using Multi-modal 3D Vision
Strong games played on random graphs
Entailment vs. Verification for Partial-assignment Satisfiability and Enumeration
Physics-informed deep learning for incompressible laminar flows
Full Transformer Framework for Robust Point Cloud Registration with Deep Information Interaction
Thematic context vector association based on event uncertainty for Twitter
Rethinking Garment Conditioning in Diffusion-based Virtual Try-On
Convergence analysis of controlled particle systems arising in deep learning: from finite to infinite sample size
The Membership Degree Min-Max Localisation Algorithm
Safety Filtering for Reinforcement Learning-based Adaptive Cruise Control
On the Synergistic Benefits of Alternating CSIT for the MISO BC
Multi-grained Trajectory Graph Convolutional Networks for Habit-unrelated Human Motion Prediction
Vector Copula Variational Inference and Dependent Block Posterior Approximations
A combinatorial problem about binary necklaces and attractors of Boolean automata networks
Inter-Rater Reliability is Individual Fairness
A Spatio-Temporal Graph Learning Approach to Real-Time Economic Dispatch with Multi-Transmission-Node DER Aggregation
Hidden Persuasion: Detecting Manipulative Narratives on Social Media During the 2022 Russian Invasion of Ukraine
Towards 6G Evolution: Three Enhancements, Three Innovations, and Three Major Challenges
HunyuanVideo-HOMA: Generic Human-Object Interaction in Multimodal Driven Human Animation
Connectivity of Natura 2000 forest sites in Europe
Hybrid Search method for Zermelo's navigation problem
Clusterability in Neural Networks
Fuzzy Granule Density-Based Outlier Detection with Multi-Scale Granular Balls
Compositional Languages Emerge in a Neural Iterated Learning Model
A Survey on Web Testing: On the Rise of AI and Applications in Industry
Depth Completion using Geometry-Aware Embedding
Gigahertz-rate random speckle projection for high-speed single-pixel image classification
Coarse and fine-grained automatic cropping deep convolutional neural network
Reviving the past: the growth of citations to old documents
A simple defense against adversarial attacks on heatmap explanations
BARFED: Byzantine Attack-Resistant Federated Averaging Based on Outlier Elimination
Žampa's systems theory: a comprehensive theory of measurement in dynamic systems
Feature learning in finite-width Bayesian deep linear networks with multiple outputs and convolutional layers
Parallelism Empowered Guessing Random Additive Noise Decoding
Automated Construction of Medical Indicator Knowledge Graphs Using Retrieval Augmented Large Language Models
Learning spatio-temporal representations with temporal squeeze pooling
L3Cube-IndicHeadline-ID: A Dataset for Headline Identification and Semantic Evaluation in Low-Resource Indian Languages
GAN-based Data Augmentation for Chest X-ray Classification
The Effects of Multi-Task Learning on ReLU Neural Network Functions
Learned Video Compression with Residual Prediction and Loop Filter
On the uniqueness of the coupled entropy
Aplib: Tactical Programming of Intelligent Agents
Single-image Human-body Reshaping with Deep Neural Networks
Integration of adversarial autoencoders with residual dense convolutional networks for inversion of solute transport in non-Gaussian conductivity fields
Field Level Neural Network Emulator for Cosmological N-body Simulations
Fishr: Invariant Gradient Variances for Out-of-distribution Generalization
Federated Neural Topic Models
Generative Adversarial Network with Soft-Dynamic Time Warping and Parallel Reconstruction for Energy Time Series Anomaly Detection
Personal Universes: A Solution to the Multi-Agent Value Alignment Problem
Estimation of Monotone Treatment Effects in Network Experiments
Cooperative localization using angle of arrival measurements: sequential algorithms and non-line-of-sight suppression
Translational Motion Compensation for Soft Tissue Velocity Images
A Parallel Implementation of the Ensemble Kalman Filter Based on Modified Cholesky Decomposition
Motion Prediction with Gaussian Processes for Safe Human-Robot Interaction in Virtual Environments
GPT-4 Surpassing Human Performance in Linguistic Pragmatics
Monte Carlo Tree Search with Sampled Information Relaxation Dual Bounds
Finding Everything within Random Binary Networks
Learning from Very Few Samples: A Survey
Adaptive Distributed Observer for an Uncertain Leader over General Directed Graphs
Learning-based Hybrid Local Search for the Hard-label Textual Attack
Finding Significant Features for Few-Shot Learning using Dimensionality Reduction
Exploring the Manifold of Neural Networks Using Diffusion Geometry
Linearizability is EXPSPACE-complete
Defaults and Infinitesimals: Defeasible Inference by Nonarchimedean Entropy-Maximization
Decision-Focused Forecasting: Decision Losses for Multistage Optimisation
Attentive Neural Architecture Incorporating Song Features For Music Recommendation
Enabling agency: trade-offs between regional and integrated energy systems design flexibility
Evaluating Open Access Paper Repository In Higher Education For Asean Region
CangLing-KnowFlow: A Unified Knowledge-and-Flow-fused Agent for Comprehensive Remote Sensing Applications
Deep Hybrid Camera Deblurring
Almost Optimal Pseudorandom Generators for Spherical Caps
D3Net: Densely connected multidilated DenseNet for music source separation
Training Recipe for N: M Structured Sparsity with Decaying Pruning Mask
Lexicon-constrained Copying Network for Chinese Abstractive Summarization
Moto: Latent Motion Token as the Bridging Language for Robot Manipulation
Data Efficient Visual Place Recognition Using Extremely JPEG-Compressed Images
Robust Economic Dispatch with Flexible Demand and Adjustable Uncertainty Set
Dynamic Spike Super-resolution and Applications to Ultrafast Ultrasound Imaging
MIMIC: Integrating Diverse Personality Traits for Better Game Testing Using Large Language Model
Diffusion as Sound Propagation: Physics-inspired Model for Ultrasound Image Generation
FusionStitching: Deep Fusion and Code Generation for Tensorflow Computations on GPUs
A Hybrid Dynamical Extension of Averaging
Note on distance matrix hashing
What Makes it Difficult to Understand a Scientific Literature?
A Hierarchical, Model-Based System for High-Performance Humanoid Soccer
VPAIR - Aerial Visual Place Recognition and Localization in Large-scale Outdoor Environments
Efficient Image-Goal Navigation with Representative Latent World Model
Lessons from the Clustering Analysis of a Search Space: A Centroid-based Approach to Initializing NAS
Invariance: a Theoretical Approach for Coding Sets of Words Modulo Literal (Anti)Morphisms
Quality or Quantity: Toward a Unified Approach for Multi-organ Segmentation in Body CT
Deep Learning Fusion For Effective Malware Detection: Leveraging Visual Features
Safety-Aware Fine-Tuning of Large Language Models
Incentive-rewarding mechanisms to stimulate participation in heterogeneous DTNs
Deep Reinforcement Learning for Solving Management Problems: Towards A Large Management Mode
A scalable adaptive deep Koopman predictive controller for real-time optimization of mixed traffic flow
C-GLISp: Preference-Based Global Optimization under Unknown Constraints with Applications to Controller Calibration
Multi-Agent Deep Research: Training Multi-Agent Systems with M-GRPO
Modeling Multi-granularity User Intent Evolving via Heterogeneous Graph Neural Networks for Session-based Recommendation
Logic-based analogical proportions
Proxy Non-Discrimination in Data-Driven Systems
Computing Integer Powers in Floating-Point Arithmetic
Enterprise Resource Planning Systems: the Integrated Approach
Discrete Diffusion for Reflective Vision-Language-Action Models in Autonomous Driving
The Evolution of Alpha in Finance Harnessing Human Insight and LLM Agents
Temporal Matrix Completion with Locally Linear Latent Factors for Medical Applications
GLOSS: Generative Latent Optimization of Sentence Representations
Single Image Inpainting and Super-Resolution with Simultaneous Uncertainty Guarantees by Universal Reproducing Kernels
VideoPose: Estimating 6D object pose from videos
On the Generalization of Diffusion Model
An Efficient Mechanism for Computation Offloading in Mobile-Edge Computing
BeamsNet: A data-driven Approach Enhancing Doppler Velocity Log Measurements for Autonomous Underwater Vehicle Navigation
Latent Feature-Guided Conditional Diffusion for High-Fidelity Generative Image Semantic Communication
From Models To Experiments: Shallow Recurrent Decoder Networks on the DYNASTY Experimental Facility
Automatic Optimisation of Normalised Neural Networks
Adiabatic Persistent Contrastive Divergence Learning
A Novel Hybrid Approach for Cephalometric Landmark Detection
Clustering Time-Snapshots of Temporal Networks: From Synthetic Data to Real-World Applications
Personalized Federated Learning via Stacking
Differentially Private Confidence Intervals for Proportions under Stratified Random Sampling
Recurrent Graph Neural Network Algorithm for Unsupervised Network Community Detection
On the Economics of Cloud Markets
In-Hand Object-Dynamics Inference using Tactile Fingertips
MAEBE: Multi-Agent Emergent Behavior Framework
An Easy-to-implement Construction for (k, n)-threshold Progressive Visual Secret Sharing Schemes
Curiosity & Entropy Driven Unsupervised RL in Multiple Environments
Recovery of UAV Swarm-enabled Collaborative Beamforming in Low-altitude Wireless Networks under Wind Field Disturbances
Automatic differentiation for Lax-Wendroff-type discretizations
Sparse Diffusion Steepest-Descent for One Bit Compressed Sensing in Wireless Sensor Networks
A topological classifier to characterize brain states: When shape matters more than variance
On Proportions of Fit Individuals in Population of Genetic Algorithm with Tournament Selection
End-to-End 3D Spatiotemporal Perception with Multimodal Fusion and V2X Collaboration
MedSAM-based lung masking for multi-label chest X-ray classification
Direct Multi-hop Attention based Graph Neural Network
Pitchtron: Towards audiobook generation from ordinary people's voices
Designing Trustworthy AI: A Human-Machine Teaming Framework to Guide Development
Cloud-based Privacy-Preserving Collaborative Consumption for Sharing Economy
FlakeRanker: Automated Identification and Prioritization of Flaky Job Failure Categories
From Patents to Dataset: Scraping for Oxide Glass Compositions and Properties
Sustainable Venture Capital
From Teaching to Coaching: A Case Study of a Technical Communication Course
CyRSoXS: A GPU-accelerated virtual instrument for Polarized Resonant Soft X-ray Scattering (P-RSoXS)
Fake Comment Detection Based on Sentiment Analysis
Generalized Bayesian Filtering via Sequential Monte Carlo
Analysis of Linear Time-Varying & Periodic Systems