yusuke1997/dblp-id-title huggingface dataset:
PAC learnability versus VC dimension: a footnote to a basic result of statistical learning
An Ensemble Learning Approach for In-situ Monitoring of FPGA Dynamic Power
Dial-insight: Fine-tuning Large Language Models with High-Quality Domain-Specific Data Preventing Capability Collapse
Mitigating Blockchain extractable value (BEV) threats by Distributed Transaction Sequencing in Blockchains
Multi-class Regret Detection in Hindi Devanagari Script
Rethinking Wine Tasting for Chinese Consumers: A Service Design Approach Enhanced by Multimodal Personalization
Model-based Transfer Learning for Automatic Optical Inspection based on domain discrepancy
Towards 1000-fold Electron Microscopy Image Compression for Connectomics via VQ-VAE with Transformer Prior
Deep Point-wise Prediction for Action Temporal Proposal
Remarks on a recent preprint of Chernikov and Towsner
Industrial Language-Image Dataset (ILID): Adapting Vision Foundation Models for Industrial Settings
Deep Neural-network Prior for Orbit Recovery from Method of Moments
Beyond Bias and Compliance: Towards Individual Agency and Plurality of Ethics in AI
Fault-Tolerant Individual Pitch Control of Floating Offshore Wind Turbines via Subspace Predictive Repetitive Control
General Purpose Verification for Chain of Thought Prompting
Dense point sets with many halving lines
Occlusion Coherence: Detecting and Localizing Occluded Faces
Time Series Anomaly Detection; Detection of anomalous drops with limited features and sparse examples in noisy highly periodic data
CHAIR - Classifier of Hallucination as Improver
Integration of 3D Knowledge for On-Board UAV Visual Tracking
Deep Object Centric Policies for Autonomous Driving
Hermes: High-Performance Homomorphically Encrypted Vector Databases
RelSen: An Optimization-based Framework for Simultaneous Sensor Reliability Monitoring and Process State Estimation
NCSA: A New Protocol for Random Multiple Access Based on Physical Layer Network Coding
Fourier-DeepONet: Fourier-enhanced deep operator networks for full waveform inversion with improved accuracy, generalizability, and robustness
Projective cofactor decompositions of Boolean functions and the satisfiability problem
Integrating Spatiotemporal Features in LSTM for Spatially Informed COVID-19 Hospitalization Forecasting
Combining SHAP and Causal Analysis for Interpretable Fault Detection in Industrial Processes
Designing Neural Networks for Hyperbolic Conservation Laws
GloBug: Using Global Data in Fault Localization
Globular Multicategories with Homomorphism Types
LEARN: An Invex Loss for Outlier Oblivious Robust Online Optimization
Scalable Reinforcement-Learning-Based Neural Architecture Search for Cancer Deep Learning Research
Specialization of Generic Array Accesses After Inlining
Software-Hardware Evolution and birth of Multicore Processors
Computing majority with low-fan-in majority queries
Learning Patch-to-Cluster Attention in Vision Transformer
Finding Good Proofs for Description Logic Entailments Using Recursive Quality Measures (Extended Technical Report)
Automated Peripancreatic Vessel Segmentation and Labeling Based on Iterative Trunk Growth and Weakly Supervised Mechanism
Stain-invariant self supervised learning for histopathology image analysis
System Identification on the Families of Auto-Regressive with Least-Square-Batch Algorithm
Multi-view biomedical foundation models for molecule-target and property prediction
Learning Only On Boundaries: a Physics-Informed Neural operator for Solving Parametric Partial Differential Equations in Complex Geometries
Effect of recommending users and opinions on the network connectivity and idea generation process
Quantifying Memory Use in Reinforcement Learning with Temporal Range
Self-accumulative Vision Transformer for Bone Age Assessment Using the Sauvegrain Method
Amenable Sparse Network Investigator
Mechanisms and Behavior Prediction
Proof-theoretic Semantics for the Logic of Bunched Implications
Distributed Maximum Likelihood for Simultaneous Self-localization and Tracking in Sensor Networks
Matrix Sensing with Kernel Optimal Loss: Robustness and Optimization Landscape
Dynamical p-adaptivity for LES of compressible flows in a high order DG framework
Enhanced Neural Machine Translation by Learning from Draft
Class Based Admission Control by Complete Partitioning -Video on Demand Server
Mining Program Properties From Neural Networks Trained on Source Code Embeddings
PeerShare: A System Secure Distribution of Sensitive Data Among Social Contacts
Nested-ReFT: Efficient Reinforcement Learning for Large Language Model Fine-Tuning via Off-Policy Rollouts
Faster fully compressed pattern matching by recompression
A Survey of Large Language Models in Finance (FinLLMs)
Verifying Safety Properties With the TLA+ Proof System
Explain Before You Answer: A Survey on Compositional Visual Reasoning
EditIDv2: Editable ID Customization with Data-Lubricated ID Feature Integration for Text-to-Image Generation
Regulating For-Hire Autonomous Vehicles for An Equitable Multimodal Transportation Network
HiPreNets: High-Precision Neural Networks through Progressive Training
Vision Foundation Models Can Be Good Tokenizers for Latent Diffusion Models
Cyber Mobility Mirror for Enabling Cooperative Driving Automation: A Co-Simulation Platform
Regularized Fast Multichannel Nonnegative Matrix Factorization with ILRMA-based Prior Distribution of Joint-Diagonalization Process
Cyclotomic FFT of Length 2047 Based on a Novel 11-point Cyclic Convolution
Uncertainty Decomposition and Error Margin Detection of Homodyned-K Distribution in Quantitative Ultrasound
Theoretical and Practical Bounds on the Initial Value of Skew-Compensated Clock for Clock Skew Compensation Algorithm Immune to Floating-Point Precision Loss
5G Ultra-dense networks with non-uniform Distributed Users
A simple probabilistic deep generative model for learning generalizable disentangled representations from grouped data
On the Relationship between Refactoring Actions and Bugs: A Differentiated Replication
How Far is Video Generation from World Model: A Physical Law Perspective
Accelerated Proton Resonance Frequency-based Magnetic Resonance Thermometry by Optimized Deep Learning Method
Ipelets for the Convex Polygonal Geometry
Cognitive Dynamic Systems: A Technical Review of Cognitive Radar
Remote Estimation of Markov Processes over Costly Channels: On the Benefits of Implicit Information
Investigating Failures of Automatic Translation in the Case of Unambiguous Gender
Improving Intersession Reproducibility for Forearm Ultrasound based Hand Gesture Classification through an Incremental Learning Approach
Multiclass MinMax Rank Aggregation
On the Convergence of Gradient Descent Training for Two-layer ReLU-networks in the Mean Field Regime
An Evaluation of ChatGPT-4's Qualitative Spatial Reasoning Capabilities in RCC-8
Efficient Segment Folding is Hard
Speciesism in Natural Language Processing Research
Neural Computation with Rings of Quasiperiodic Oscillators
Generalised Soft Finite Element Method for Elliptic Eigenvalue Problems
Transformer-Based Rate Prediction for Multi-Band Cellular Handsets
Video Content Classification using Deep Learning
Leveraging KV Similarity for Online Structured Pruning in LLMs
Cover time of graphs with bounded genus
Accelerating B-spline Interpolation on GPUs: Application to Medical Image Registration
LISA Technical Report: An Agentic Framework for Smart Contract Auditing
Entity Summarization: State of the Art and Future Challenges
Exploring Task Performance with Interpretable Models via Sparse Auto-Encoders
About Unitary Rating Score Constructing
Generalization Through The Lens Of Leave-One-Out Error
Explainable Fraud Detection with GNNExplainer and Shapley Values
Improving the Sphere-Packing Bound for Binary Codes over Memoryless Symmetric Channels
A Decidable Class of Nested Iterated Schemata (extended version)
Underwater image filtering: methods, datasets and evaluation
Text-guided High-definition Consistency Texture Model
Using LLM such as ChatGPT for Designing and Implementing a RISC Processor: Execution, Challenges and Limitations
Discover & eXplore Neural Network (DXNN) Platform, a Modular TWEANN
Multilingual Unsupervised Sentence Simplification
Attack Interference in Non-Collaborative Scenarios for Security Protocol Analysis [Extended Version]
A new approach to construct minimal linear codes over F 3
Semi-supervised Semantic Segmentation for Remote Sensing Images via Multi-scale Uncertainty Consistency and Cross-Teacher-Student Attention
Nonlinear Robust Periodic Output Regulation of Minimum Phase Systems
Temporal Graph Realization With Bounded Stretch
GaussianHair: Hair Modeling and Rendering with Light-aware Gaussians
Characterization of a Multi-User Indoor Positioning System Based on Low Cost Depth Vision (Kinect) for Monitoring Human Activity in a Smart Home
Wing Loss for Robust Facial Landmark Localisation with Convolutional Neural Networks
Near Real-Time Dust Aerosol Detection with 3D Convolutional Neural Networks on MODIS Data
RAFIC: Retrieval-Augmented Few-shot Image Classification
Advanced Proof Viewing in ProofTool
TCP Injections for Fun and Clogging
Knowledge Representation Analysis of Graph Mining
Assessing the Value of Coooperation in Wikipedia
Adaptive Adjustment with Semantic Feature Space for Zero-Shot Recognition
Energy-Efficiency Prediction of Multithreaded Workloads on Heterogeneous Composite Cores Architectures using Machine Learning Techniques
Confidence Calibration and Rationalization for LLMs via Multi-Agent Deliberation
A note on the longest common Abelian factor problem
Knowledge Networks Analysis
A Riemannian Take on Distance Fields and Geodesic Flows in Robotics
Data-Driven Approach for Distribution Network Topology Detection
Beyond Static Testbeds: An Interaction-Centric Agent Simulation Platform for Dynamic Recommender Systems
Optimization of two-level methods for DG discretizations of reaction-diffusion equations
Parallel Local Algorithms for Core, Truss, and Nucleus Decompositions
LeC 2 O-NeRF: Learning Continuous and Compact Large-Scale Occupancy for Urban Scenes
GPU Volume Rendering with Hierarchical Compression Using VDB
Value of Multi-pursuer Single-evader Pursuit-evasion Game with Terminal Cost of Evader's Position: Relaxation of Convexity Condition
Field evaluation of a mobile app for assisting blind and visually impaired travelers to find bus stops
Normalizing self-supervised learning for provably reliable Change Point Detection
MTS-CycleGAN: An Adversarial-based Deep Mapping Learning Network for Multivariate Time Series Domain Adaptation Applied to the Ironmaking Industry
Calculation of distributed system imbalance in condition of multifractal load
zonoLAB: A MATLAB toolbox for set-based control systems analysis using hybrid zonotopes
HAICOSYSTEM: An Ecosystem for Sandboxing Safety Risks in Human-AI Interactions
Towards Automatic Boundary Detection for Human-AI Hybrid Essay in Education
Fundamentals of Modeling Finite Wireless Networks using Binomial Point Process
Hyperbolicity Measures "Democracy" in Real-World Networks
AI to Identify Strain-sensitive Regions of the Optic Nerve Head Linked to Functional Loss in Glaucoma
Graphical Analysis of Social Group Dynamics
Topological Measures for Pattern quantification of Impact Centers in Piezo Vibration Striking Treatment (PVST)
Control contribution identifies top driver nodes in complex networks
Anomaly Detection via Gumbel Noise Score Matching
InfoQ: Mixed-Precision Quantization via Global Information Flow
Compositional Convolutional Networks For Robust Object Classification under Occlusion
Identifying Clusters of Concepts in a Low Cohesive Class for Extract Class Refactoring Using Metrics Supplemented Agglomerative Clustering Technique
MLSeg: Image and Video Segmentation as Multi-Label Classification and Selected-Label Pixel Classification
Detecting the Undetectable: Combining Kolmogorov-Arnold Networks and MLP for AI-Generated Image Detection
GECKO: Generative Language Model for English, Code and Korean
A statistical significance testing approach for measuring term burstiness with applications to domain-specific terminology extraction
Towards Vision Transformer Unrolling Fixed-Point Algorithm: a Case Study on Image Restoration
Asynchronous Federated Stochastic Optimization for Heterogeneous Objectives Under Arbitrary Delays
FeaKM: Robust Collaborative Perception under Noisy Pose Conditions
Using Machine Learning and Neural Networks to Analyze and Predict Chaos in Multi-Pendulum and Chaotic Systems
A Finite Element Method for Angular Discretization of the Radiation Transport Equation on Spherical Geodesic Grids
Optimal Power System Topology Control Under Uncertain Wildfire Risk
ZoeDepth: Zero-shot Transfer by Combining Relative and Metric Depth
Circular Microalgae-Based Carbon Control for Net Zero
An Early Fault Detection Method of Rotating Machines Based on Multiple Feature Fusion with Stacking Architecture
A Comparative Analysis of Semiconductor Wafer Map Defect Detection with Image Transformer
Diversity and Inclusion in AI: Insights from a Survey of AI/ML Practitioners
Influence Maximization (IM) in Complex Networks with Limited Visibility Using Statistical Methods
Poincaré-Hopf theorem for hybrid systems
Short-Horizon Predictive Maintenance of Industrial Pumps Using Time-Series Features and Machine Learning
FPT algorithms for embedding into low complexity graphic metrics
Stress Monitoring Using Low-Cost Electroencephalogram Devices: A Systematic Literature Review
Partial Search in a Frozen Network is Enough to Find a Strong Lottery Ticket
Constructing Fewer Open Cells by GCD Computation in CAD Projection
Catastrophe Insurance: An Adaptive Robust Optimization Approach
Secrecy Rates for a Channel With Two Senders and Two Receivers
FlowCrypt: Flow-Based Lightweight Encryption with Near-Lossless Recovery for Cloud Photo Privacy
RL-PGO: Reinforcement Learning-based Planar Pose-Graph Optimization
DLM-VMTL:A Double Layer Mapper for heterogeneous data video Multi-task prompt learning
!Qué maravilla! Multimodal Sarcasm Detection in Spanish: a Dataset and a Baseline
PSVMA+: Exploring Multi-granularity Semantic-visual Adaption for Generalized Zero-shot Learning
Towards Practical Conditional Risk Minimization
Breaking Barriers: Maximizing Array Utilization for Compute In-Memory Fabrics
The Knowledge Graph for Macroeconomic Analysis with Alternative Big Data
Assembly and Disassembly Planning by using Fuzzy Logic & Genetic Algorithms
Explainable-by-design Semi-Supervised Representation Learning for COVID-19 Diagnosis from CT Imaging
Randomized Fast Subspace Descent Methods
Integrated Sensing and Communication with Delay Alignment Modulation: Performance Analysis and Beamforming Optimization
LLM Evaluation Based on Aerospace Manufacturing Expertise: Automated Generation and Multi-Model Question Answering
RINAS: Training with Dataset Shuffling Can Be General and Fast
Effects of Social Ties in Knowledge Diffusion: case study on PLOS ONE
Clinical Validation of Single-Chamber Model-Based Algorithms Used to Estimate Respiratory Compliance
The Challenges of Investigating Cryptocurrencies and Blockchain Related Crime
A Neural Network Model of Spatial and Feature-Based Attention
Convolutional neural network models for cancer type prediction based on gene expression
From Generalist to Specialist: Exploring CWE-Specific Vulnerability Detection
Achieving interoperability between the CARARE schema for monuments and sites and the Europeana Data Model
Supervising Feature Influence
Applying splitting methods with complex coefficients to the numerical integration of unitary problems
Fast and Accurate Scene Parsing via Bi-direction Alignment Networks
Biclustering with Alternating K-Means
Polar Codes With Higher-Order Memory
Addressing degeneracies in latent interpolation for diffusion models
Interactive Example-based Explanations to Improve Health Professionals' Onboarding with AI for Human-AI Collaborative Decision Making
Space-time discretization of the wave equation in a second-order-in-time formulation: a conforming, unconditionally stable method
To Fall Or Not To Fall: A Visual Approach to Physical Stability Prediction
Utility of a Behavlets approach to a Decision theoretic predictive player model
Theory inspired deep network for instantaneous-frequency extraction and signal components recovery from discrete blind-source data
High-dimensional inference: a statistical mechanics perspective
Game of Travesty: Decoy-based Psychological Cyber Deception for Proactive Human Agents
A positivity-preserving truncated Euler-Maruyama method for stochastic differential equations with positive solutions: multi-dimensional case
An Empirical Evaluation of True Online TD(λ)
Mitigating Object Hallucinations in MLLMs via Multi-Frequency Perturbations
NegBLEURT Forest: Leveraging Inconsistencies for Detecting Jailbreak Attacks
Towards Practical Credit Assignment for Deep Reinforcement Learning
HierSearch: A Hierarchical Enterprise Deep Search Framework Integrating Local and Web Searches
Max Weight Independent Set in sparse graphs with no long claws
When is Clustering Perturbation Robust?
A Second-Order Audio VCO-ADC with 103-dB-A Dynamic Range and Binary-Weighted Internal Architecture
Generative AI Takes a Statistics Exam: A Comparison of Performance between ChatGPT3.5, ChatGPT4, and ChatGPT4o-mini
Finite-Time Error Bounds For Linear Stochastic Approximation and TD Learning
Computing in Memory with Spin-Transfer Torque Magnetic RAM
VRMDiff: Text-Guided Video Referring Matting Generation of Diffusion
Efficient and Diverse Generative Robot Designs using Evolution and Intrinsic Motivation
Continuous-Time Control Synthesis for Multiple Quadrotors under Signal Temporal Logic Specifications
Performance of YOLOv7 in Kitchen Safety While Handling Knife
From See to Shield: ML-Assisted Fine-Grained Access Control for Visual Data
Minimax Lower Bounds for Kronecker-Structured Dictionary Learning
Visualising Multiplayer Game Spaces
Study of Robust Sparsity-Aware RLS algorithms with Jointly-Optimized Parameters for Impulsive Noise Environments
An Answer Verbalization Dataset for Conversational Question Answerings over Knowledge Graphs
Revisiting Neural Architecture Search
Automatic Extraction of Security-Rich Dataflow Diagrams for Microservice Applications written in Java
Multi-environment lifelong deep reinforcement learning for medical imaging
Meaningful XAI Based on User-Centric Design Methodology
High order concentrated non-negative matrix-exponential functions
Reducing the Computational Requirements of the Differential Quadrature Method
Binamix - A Python Library for Generating Binaural Audio Datasets
Semantic keypoint extraction for scanned animals using multi-depth-camera systems
A software approach to defeating side channels in last-level caches
On the Complexity of Pointer Arithmetic in Separation Logic (an extended version)
Optimal Settings for Cryptocurrency Trading Pairs
Singer Identification Using Deep Timbre Feature Learning with KNN-Net
Fast, Secure, and High-Capacity Image Watermarking with Autoencoded Text Vectors
Exploring Opportunistic Routing for Remote Sea Emergencies
Hierarchical Multitask Learning with Dependency Parsing for Japanese Semantic Role Labeling Improves Performance of Argument Identification
Optimal convergence analysis of Laguerre spectral approximations for analytic functions
Small Language Models: Architectures, Techniques, Evaluation, Problems and Future Adaptation
A Realistic Simulation Framework for Learning with Label Noise
An Effective Approach to Biomedical Information Extraction with Limited Training Data
LeSICiN: A Heterogeneous Graph-based Approach for Automatic Legal Statute Identification from Indian Legal Documents
A Deep Learning Framework for Automatic Diagnosis in Lung Cancer
Covariance alignment: from maximum likelihood estimation to Gromov-Wasserstein
EPARA: Parallelizing Categorized AI Inference in Edge Clouds
A Theory of Available-by-Design Communicating Systems
Anytime Exact Belief Propagation
Intersectional Bias in Hate Speech and Abusive Language Datasets
Joint Neural SDF Reconstruction and Semantic Segmentation for CAD Models
VR Based Emotion Recognition Using Deep Multimodal Fusion With Biosignals Across Multiple Anatomical Domains
Abnormal Event Detection In Videos Using Deep Embedding
CodeAgent: Collaborative Agents for Software Engineering
Resource Allocation in Heterogeneous Networks: eICIC Approach
Trust Management for Internet of Things: A Systematic Literature Review
An IoT Framework for Building Energy Optimization Using Machine Learning-based MPC
Enriching Moral Perspectives on AI: Concepts of Trust amongst Africans
Artificial Intelligence for Secured Information Systems in Smart Cities: Collaborative IoT Computing with Deep Reinforcement Learning and Blockchain
PPR: Enhancing Dodging Attacks while Maintaining Impersonation Attacks on Face Recognition Systems
Revisiting Actor Programming in C++
The AI Index 2022 Annual Report
The expressive power of quantum walks in terms of language acceptance
Location- and Time-Dependent VPD for Privacy-Preserving Wireless Accesses to Cloud Services
Distribution-Calibrated Inference time compute for Thinking LLM-as-a-Judge
EndoMapper dataset of complete calibrated endoscopy procedures
Supervised learning of a regression model based on latent process. Application to the estimation of fuel cell life time
On the Role of Geometry in Geo-Localization
Unsupervised non-parametric change point detection in quasi-periodic signals
Kripke Completeness of Strictly Positive Modal Logics over Meet-semilattices with Operators
Enabling On-Demand Database Computing with MIT SuperCloud Database Management System
Financial Decision Making using Reinforcement Learning with Dirichlet Priors and Quantum-Inspired Genetic Optimization
A Multiscale Geometric Method for Capturing Relational Topic Alignment
Error analysis of the Monte Carlo method for compressible magnetohydrodynamics
CoNav Chair: Development and Evaluation of a Shared Control based Wheelchair for the Built Environment
Quarantine generated phase transition in epidemic spreading
Performance Evaluation of Infrared Image Enhancement Techniques
Optimisation-Based Coupling of Finite Element Model and Reduced Order Model for Computational Fluid Dynamics
DeepCO: Offline Combinatorial Optimization Framework Utilizing Deep Learning
Towards New Requirements Engineering Competencies
Fisher-Rao distances between finite energy signals in noise
Decentralized CBF-based Safety Filters for Collision Avoidance of Cooperative Missile Systems with Input Constraints
Transformation of Mean Opinion Scores to Avoid Misleading of Ranked based Statistical Techniques
An embedded segmental k-means model for unsupervised segmentation and clustering of speech
Checking C++ Programs for Dimensional Consistency
Sentiment Identification in Code-Mixed Social Media Text
Measures of Threaded Discussion Properties
Cramnet: Layer-wise Deep Neural Network Compression with Knowledge Transfer from a Teacher Network
Levenberg-Marquardt method with Singular Scaling and applications
Reality-assisted evolution of soft robots through large-scale physical experimentation: a review
Design of the first sub-milligram flapping wing aerial vehicle
EquiTabPFN: A Target-Permutation Equivariant Prior Fitted Networks
Long-Video Audio Synthesis with Multi-Agent Collaboration
CBMAP: Clustering-based manifold approximation and projection for dimensionality reduction
Identifying Asymptomatic Nodes in Network Epidemics using Graph Neural Networks
RAISE: A self-driving laboratory for interfacial property formulation discovery
Benchmarking Deep Deblurring Algorithms: A Large-Scale Multi-Cause Dataset and A New Baseline Model
Multi-scale Unified Network for Image Classification
Bootstrapping Disjoint Datasets for Multilingual Multimodal Representation Learning
End-to-end Adaptive Distributed Training on PaddlePaddle
Using Knowledge Awareness to improve Safety of Autonomous Driving
Deep Q-Network-Driven Catheter Segmentation in 3D US by Hybrid Constrained Semi-Supervised Learning and Dual-UNet
Retrospective Interference Alignment
MCFFA-Net: Multi-Contextual Feature Fusion and Attention Guided Network for Apple Foliar Disease Classification
MCP-AI: Protocol-Driven Intelligence Framework for Autonomous Reasoning in Healthcare