yusuke1997/dblp-id-title huggingface dataset:
Uniform sampling of undirected and directed graphs with a fixed degree sequence
Optimal Transportation and Alignment Between Gaussian Measures
Uniform Pessimistic Risk and Optimal Portfolio
A Malliavin calculus approach to score functions in diffusion generative models
LXPER Index: a curriculum-specific text readability assessment model for EFL students in Korea
DP2Guard: A Lightweight and Byzantine-Robust Privacy-Preserving Federated Learning Scheme for Industrial IoT
Synthetic Image Verification in the Era of Generative AI: What Works and What Isn't There Yet
Integrating Visual and X-Ray Machine Learning Features in the Study of Paintings by Goya
Cognitive Database: A Step towards Endowing Relational Databases with Artificial Intelligence Capabilities
A Flux and Speed Observer for Induction Motors with Unknown Rotor Resistance and Load Torque and no Persistent Excitation Requirement
Diffusion Policies for Generative Modeling of Spacecraft Trajectories
Four Axiomatic Characterizations of the Integrated Gradients Attribution Method
Lie Algebrized Gaussians for Image Representation
Towards Evaluating the Quality of a Spreadsheet: The Case of the Analytical Spreadsheet Model
Points2Polygons: Context-Based Segmentation from Weak Labels Using Adversarial Networks
Low-Order ℋ 2 / ℋ ∞ Controller Design for Aeroelastic Vibration Suppression
Asymmetric Cross-Modal Knowledge Distillation: Bridging Modalities with Weak Semantic Consistency
Single Layer Single Gradient Unlearning
DESIL: Detecting Silent Bugs in MLIR Compiler Infrastructure
Handling Imbalanced Datasets Through Optimum-Path Forest
HDR-VDP-3: A multi-metric for predicting image differences, quality and contrast distortions in high dynamic range and regular content
CFL: On the Use of Characteristic Function Loss for Domain Alignment in Machine Learning
M3T: Multi-Modal Medical Transformer to bridge Clinical Context with Visual Insights for Retinal Image Medical Description Generation
LiftFormer: 3D Human Pose Estimation using attention models
ARAACOM: ARAbic Algerian Corpus for Opinion Mining
Generative Language Model for Catalyst Discovery
Multi-modal deep learning system for depression and anxiety detection
Robust Sensor Fusion for Indoor Wireless Localization
Similarity Assessment through blocking and affordance assignment in Textual CBR
Detecting Privileged Documents by Ranking Connected Network Entities
EVA2.0: Investigating Open-Domain Chinese Dialogue Systems with Large-Scale Pre-Training
RulE: Neural-Symbolic Knowledge Graph Reasoning with Rule Embedding
Investigating the Software Engineering Roadmap for Smart City Infrastructure Development: Goals and Challenges
Data-efficient Trajectory Prediction via Coreset Selection
A simple extrapolated predictor for overcoming the starting and tracking issues in the arc-length method for nonlinear structural mechanics
On-device Federated Learning with Flower
One-Bit Compressed Sensing by Greedy Algorithms
Normalization of Neural Networks using Analytic Variance Propagation
The Science of Detecting LLM-Generated Texts
When Does Diversity of User Preferences Improve Outcomes in Selfish Routing?
Icon: An Interactive Approach to Train Deep Neural Networks for Segmentation of Neuronal Structures
A Novel Reconfigurable Hardware Design for Speech Enhancement Based on Multi-Band Spectral Subtraction Involving Magnitude and Phase Components
What Really is Commonsense Knowledge?
Crowd Simulation Model Integrating "Physiology-Psychology-Physics" Factors
Imaging Conductivity from Current Density Magnitude using Neural Networks
An Interesting Property of LPCs for Sonorant Vs Fricative Discrimination
Incremental Sparse Bayesian Ordinal Regression
Automatic Speech Recognition (ASR) for the Diagnosis of pronunciation of Speech Sound Disorders in Korean children
Randomness In Neural Network Training: Characterizing The Impact of Tooling
Application Behavior Enforcement Based On Network Characteristics
SCL-VI: Self-supervised Context Learning for Visual Inspection of Industrial Defects
Approximate weighted 3-coloring
Block Flow: Learning Straight Flow on Data Blocks
Deep Learning-Based Multi-Object Tracking: A Comprehensive Survey from Foundations to State-of-the-Art
A Mesh Is Worth 512 Numbers: Spectral-domain Diffusion Modeling for High-dimension Shape Generation
Learning Distortion Invariant Representation for Image Restoration from A Causality Perspective
Intention-Conditioned Long-Term Human Egocentric Action Forecasting @ EGO4D Challenge 2022
IDO-VFI: Identifying Dynamics via Optical Flow Guidance for Video Frame Interpolation with Events
R-Capsule: Compressing High-Level Plans for Efficient Large Language Model Reasoning
UlRe-NeRF: 3D Ultrasound Imaging through Neural Rendering with Ultrasound Reflection Direction Parameterization
Asynchronous adaptive networks
The DAG Visit approach for Pebbling and I/O Lower Bounds
A Particle Algorithm for Mean-Field Variational Inference
Acute kidney injury prediction for non-critical care patients: a retrospective external and internal validation study
Scalable, Secure and Broad-Spectrum Enforcement of Contracts, Without Blockchains
Compressed Multiple-Row Storage Format
Towards Confident Detection of Prostate Cancer using High Resolution Micro-ultrasound
Availability-Aware Dynamic RSA with Protection using Consecutive Sub-Channels
Enhancing Wireless Networks for IoT with Large Vision Models: Foundations and Applications
Multi-class within-day dynamic traffic equilibrium with strategic travel time information
Robot Learning from Randomized Simulations: A Review
Sea Ice Forecasting using Attention-based Ensemble LSTM
Improving Line Search Methods for Large Scale Neural Network Training
EIGEN: Event Influence GENeration using Pre-trained Language Models
Improving Grey-Box Fuzzing by Modeling Program Behavior
Retrieve-Cluster-Summarize: An Alternative to End-to-End Training for Query-specific Article Generation
Key Stakeholders' Value Propositions for Feature Selection in Software-intensive Products: An Industrial Case Study
Computocene: Notes from an Age of Observation
Bubbles: a data management approach to create an advanced industrial interoperability layer for critical systems development applying reuse techniques
An efficient model-free setting for longitudinal and lateral vehicle control. Validation through the interconnected pro-SiVIC/RTMaps prototyping platform
Knowledge Discovery from Layered Neural Networks based on Non-negative Task Decomposition
Finding an Initial Probe Pose in Teleoperated Robotic Echocardiography via 2D LiDAR-Based 3D Reconstruction
The Rate Distortion Function of Asynchronously Sampled Memoryless Cyclostationary Gaussian Processes
PIM-malloc: A Fast and Scalable Dynamic Memory Allocator for Processing-In-Memory (PIM) Architectures
Can AI Mitigate Human Perceptual Biases? A Pilot Study
SL-YOLO: A Stronger and Lighter Drone Target Detection Model
Ensembles of Generative Adversarial Networks
Numerical Simulations on Nonlinear Quantum Graphs with the GraFiDi Library
Understanding Self-supervised Learning with Dual Deep Networks
Synthesizing Functional Reactive Programs
2D Image Convolution using Three Parallel Programming Models on the Xeon Phi
Groups and Semigroups Defined by Colorings of Synchronizing Automata
Rethinking the constraints of multimodal fusion: case study in Weakly-Supervised Audio-Visual Video Parsing
Frequency Tracking: LMS and RLS Applied to Speech Formant Estimation (2000)
Emergence of Hebbian Dynamics in Regularized Non-Local Learners
Time allocation in social networks: correlation between social structure and human communication dynamics
Dynamic backdoor attacks against federated learning
Consistent Weighted Sampling Made Fast, Small, and Easy
Improving the Performance of OFDMA-based Wi-Fi Network with Hybrid Medium Access Control Protocol Design
Fairness under Competition
Revealing the Hidden Effects of Phishing Emails: An Analysis of Eye and Mouse Movements in Email Sorting Tasks
The Design and Demonstration of an Actor-Based, Application-Aware Access Control Evaluation Framework
DisMS-TS: Eliminating Redundant Multi-Scale Features for Time Series Classification
Long Short-Term Memory to predict 3D Amino acids Positions in GPCR Molecular Dynamics
Rescuing the End-user systems from Vulnerable Applications using Virtualization Techniques
Hierarchical QR factorization algorithms for multi-core cluster systems
MMInstruct: A High-Quality Multi-Modal Instruction Tuning Dataset with Extensive Diversity
Cartridges: Lightweight and general-purpose long context representations via self-study
An Importance Sampling Scheme on Dual Factor Graphs. I. Models in a Strong External Field
Efficient Three-party Computation: An Information-theoretic Approach from Cut-and-Choose
Foundational DevOps Patterns
Low Revenue in Display Ad Auctions: Algorithmic Collusion vs. Non-Quasilinear Preferences
Aligning Large Multi-Modal Model with Robust Instruction Tuning
The Risks of Using Large Language Models for Text Annotation in Social Science Research
On the Capacity Achieving Probability Measures for Molecular Receivers
Are You in the Line? RSSI-based Queue Detection in Crowds
Sampled Training and Node Inheritance for Fast Evolutionary Neural Architecture Search
The Influence of Biomedical Research on Future Business Funding: Analyzing Scientific Impact and Content in Industrial Investments
Reinforcement Fine-Tuning Enables MLLMs Learning Novel Tasks Stably
Trading off Relevance and Revenue in the Jobs Marketplace: Estimation, Optimization and Auction Design
Iterative Negotiation and Oversight: A Case Study in Decentralized Air Traffic Management
Non-collocated vibration absorption using delayed resonator for spectral and spacial tuning - analysis and experimental validation
Memory-Augmented Log Analysis with Phi-4-mini: Enhancing Threat Detection in Structured Security Logs
Towards a Complete Picture of Lens Laws
Stable and accurate interface capturing advection schemes
"Paraphrasing The Original Text" Makes High Accuracy Long-Context QA
Constructive Analysis of S1S and Büchi Automata
Unified Vertex Motion Estimation for Integrated Video Stabilization and Stitching in Tractor-Trailer Wheeled Robots
The Entropy of a Binary Hidden Markov Process
Tree-based RAG-Agent Recommendation System: A Case Study in Medical Test Data
Contrastive News and Social Media Linking using BERT for Articles and Tweets across Dual Platforms
Passivity-Based Local Design Conditions for Global Optimality in Distributed Convex Optimization
Block-Sparse Recurrent Neural Networks
Research on Scalability of Operating Systems on Multicore Processors
Rethink Training of BERT Rerankers in Multi-Stage Retrieval Pipeline
Lighter Stacked Hourglass Human Pose Estimation
Dark, Beyond Deep: A Paradigm Shift to Cognitive AI with Humanlike Common Sense
Justification of Recommender Systems Results: A Service-based Approach
AgentBuilder: Exploring Scaffolds for Prototyping User Experiences of Interface Agents
Lightweight high-resolution Subject Matting in the Real World
Path Planning using Reinforcement Learning: A Policy Iteration Approach
ML-ASPA: A Contemplation of Machine Learning-based Acoustic Signal Processing Analysis for Sounds, & Strains Emerging Technology
Methodology to Deploy CNN-Based Computer Vision Models on Immersive Wearable Devices
Sewer Rats in Teaching Action: An explorative field study on students' perception of a game-based learning app in graduate engineering education
Emergence of Nestedness in the Public Internet Peering Ecosystem
On Subspace Approximation and Subset Selection in Fewer Passes by MCMC Sampling
Sufficient A Priori Conditions for the Linear Relaxation of the Energy Storage Scheduling Problem
Extreme Value Theory-enhanced Radio Maps for Handovers in Ultra-reliable Communications
Representation Learning for Words and Entities
ProteuS: A Generative Approach for Simulating Concept Drift in Financial Markets
PAL: Pluralistic Alignment Framework for Learning from Heterogeneous Preferences
Variational Grid Setting Network
Local Gibbs sampling beyond local uniformity
Structured sampling and fast reconstruction of smooth graph signals
Homogenization with quasistatic Tresca's friction law: qualitative and quantitative results
Learning Deeply Supervised Visual Descriptors for Dense Monocular Reconstruction
Noise-Tolerant Coreset-Based Class Incremental Continual Learning
An Arbitrary-Modal Fusion Network for Volumetric Cranial Nerves Tract Segmentation
Back to the Feature: Explaining Video Classifiers with Video Counterfactual Explanations
Online Multi-Task Learning with Recursive Least Squares and Recursive Kernel Methods
CausalStep: A Benchmark for Explicit Stepwise Causal Reasoning in Videos
Investigation of D-Wave quantum annealing for training Restricted Boltzmann Machines and mitigating catastrophic forgetting
Optimality of Fast Matching Algorithms for Random Networks with Applications to Structural Controllability
Curriculum Learning for Few-Shot Domain Adaptation in CT-based Airway Tree Segmentation
Energy Efficient PON Backhaul Network for a VLC Based Fog Architecture
Accurate Discharge Coefficient Prediction of Streamlined Weirs by Coupling Linear Regression and Deep Convolutional Gated Recurrent Unit
A study on Prompt Design, Advantages and Limitations of ChatGPT for Deep Learning Program Repair
Model Based Ceramic tile inspection using Discrete Wavelet Transform and Euclidean Distance
Continuous longitudinal fetus brain atlas construction via implicit neural representation
Linear Codes over Galois Ring GR(p 2 , r) Related to Gauss sums
Brame: Hierarchical Data Management Framework for Cloud-Edge-Device Collaboration
Low-Rank Approximation of Matrices for PMI-based Word Embeddings
Table Understanding and (Multimodal) LLMs: A Cross-Domain Case Study on Scientific vs. Non-Scientific Data
Progress Report on Numerical Modeling of a Prototype Fuel Cell
Re3: Learning to Balance Relevance & Recency for Temporal Information Retrieval
HyperSeg: Patch-wise Hypernetwork for Real-time Semantic Segmentation
Is augmentation effective to improve prediction in imbalanced text datasets?
TLS in the wild: an Internet-wide analysis of TLS-based protocols for electronic communication
Embedded Deep Regularized Block HSIC Thermomics for Early Diagnosis of Breast Cancer
Aspects of holographic entanglement using physics-informed-neural-networks
Recovering Sparse and Interpretable Subgroups with Heterogeneous Treatment Effects with Censored Time-to-Event Outcomes
A Note on Random Sampling for Matrix Multiplication
A Large-scale Concurrent Data Anonymous Batch Verification Scheme for Mobile Healthcare Crowd Sensing
Projection-free Distributed Online Learning with Strongly Convex Losses
Formal Algorithms for Model Efficiency
Well-balanced nodal discontinuous Galerkin method for Euler equations with gravity
Upper Bound of Bayesian Generalization Error in Non-negative Matrix Factorization
Neural Architecture Search using Progressive Evolution
Ensuring Stability in Networked Systems with Nonlinear MPC for Continuous Time Systems
Multi-Strategy Coevolving Aging Particle Optimization
Predicting Femicide in Veracruz: A Fuzzy Logic Approach with the Expanded MFM-FEM-VER-CP-2024 Model
Beyond one-hot encoding? Journey into compact encoding for large multi-class segmentation
Estimating Dimensionality of Neural Representations from Finite Samples
Triplet Entropy Loss: Improving The Generalisation of Short Speech Language Identification Systems
Deep learning model solves change point detection for multiple change types
The jump set under geometric regularisation. Part 2: Higher-order approaches
Optimal non-adaptive group testing
With a Little Help from the Authors: Reproducing Human Evaluation of an MT Error Detector
Intelligence Foundation Model: A New Perspective to Approach Artificial General Intelligence
Ex ante prediction of cascade sizes on networks of agents facing binary outcomes
FLOWGEN: Fast and slow graph generation
The Strawberry Problem: Emergence of Character-level Understanding in Tokenized Language Models
Data Extrapolation for Text-to-image Generation on Small Datasets
Masking Neural Networks Using Reachability Graphs to Predict Process Events
Impact of fault prediction on checkpointing strategies
ZaliQL: A SQL-Based Framework for Drawing Causal Inference from Big Data
Retrieval-Augmented Generation with Conflicting Evidence
δ-CLUE: Diverse Sets of Explanations for Uncertainty Estimates
An Explainable Vision Transformer with Transfer Learning Combined with Support Vector Machine Based Efficient Drought Stress Identification
Private, Verifiable, and Auditable AI Systems
Med-R1: Reinforcement Learning for Generalizable Medical Reasoning in Vision-Language Models
The Wreath Process: A totally generative model of geometric shape based on nested symmetries
Automatic Configuration Tuning on Cloud Database: A Survey
Deep Neuro-Adaptive Sliding Mode Controller for Higher-Order Heterogeneous Nonlinear Multi-Agent Teams with Leader
Escaping Saddle Points in Nonconvex Minimax Optimization via Cubic-Regularized Gradient Descent-Ascent
Neural Control Variates
BubbleML: A Multi-Physics Dataset and Benchmarks for Machine Learning
GraphCliff: Short-Long Range Gating for Subtle Differences but Critical Changes
MoDeST: Bridging the Gap between Federated and Decentralized Learning with Decentralized Sampling
SLA 2 P: Self-supervised Anomaly Detection with Adversarial Perturbation
Localization of Fetal Head in Ultrasound Images by Multiscale View and Deep Neural Networks
PointGauss: Point Cloud-Guided Multi-Object Segmentation for Gaussian Splatting
Generative artificial intelligence enhances individual creativity but reduces the collective diversity of novel content
4DBInfer: A 4D Benchmarking Toolbox for Graph-Centric Predictive Modeling on Relational DBs
Robust Transmission Design for Multi-Cell D2D Underlaid Cellular Networks
W-Net: A Deep Model for Fully Unsupervised Image Segmentation
Economic Hubs and the Domination of Inter-Regional Ties in World City Networks
A Comprehensive Survey on the Ambulance Routing and Location Problems
FreezeVLA: Action-Freezing Attacks against Vision-Language-Action Models
GNSS Signal Authentication via Power and Distortion Monitoring
Count-Less: A Counting Sketch for the Data Plane of High Speed Switches
Fluid Annotation: a human-machine collaboration interface for full image annotation
Finite Horizon Discrete Models for Multi-Agent Control Systems with Coupled Dynamics
Aegis:An Advanced LLM-Based Multi-Agent for Intelligent Functional Safety Engineering
The Strongly Stable Roommates Problem and Linear Programming
Consensus using Asynchronous Failure Detectors
CertiA360: Enhance Compliance Agility in Aerospace Software Development
Solving Interactive Fiction Games via Partial Evaluation and Bounded Model Checking
Over-Squashing in Riemannian Graph Neural Networks
Optimal input representation in neural systems at the edge of chaos
Commitment over Gaussian Unfair Noisy Channels
Complexity of some Path Problems in DAGs and Linear Orders
A Survey on Facial Expression Recognition of Static and Dynamic Emotions
Layer-of-Thoughts Prompting (LoT): Leveraging LLM-Based Retrieval with Constraint Hierarchies
A Balance for Fairness: Fair Distribution Utilising Physics in Games of Characteristic Function Form
Online Visual Multi-Object Tracking via Labeled Random Finite Set Filtering
Curriculum Learning for Deep Generative Models with Clustering
Macroscopic stress, couple stress and flux tensors derived through energetic equivalence from microscopic continuous and discrete heterogeneous finite representative volumes
How Do Smart Contracts Benefit Security Protocols?
Deep Learning by Scattering
Thirty-seven years of relational Hoare logic: remarks on its principles and history
Not Just Skipping. Understanding the Effect of Sponsored Content on Users' Decision-Making in Online Health Search
Model-Coupled Autoencoder for Time Series Visualisation
From Imperfect Signals to Trustworthy Structure: Confidence-Aware Inference from Heterogeneous and Reliability-Varying Utility Data
rLLM: Relational Table Learning with LLMs
Improved Runtime Guarantees for the SPEA2 Multi-Objective Optimizer
Context Cascade Compression: Exploring the Upper Limits of Text Compression
PandaGPT: One Model To Instruction-Follow Them All
A Comparative Study of Machine Learning and Deep Learning Techniques for Prediction of Co2 Emission in Cars
Detecting Spurious Correlations via Robust Visual Concepts in Real and AI-Generated Image Classification
Fisher-type information involving higher order derivatives
Distributed Stochastic ACOPF Based on Consensus ADMM and Scenario Reduction
ProCache: Constraint-Aware Feature Caching with Selective Computation for Diffusion Transformer Acceleration
Overcoming Pathology Image Data Deficiency: Generating Images from Pathological Transformation Process
Efficient Multimedia Similarity Measurement Using Similar Elements
Note on Reverse Pinsker Inequalities
SEAL: SEmantic-Augmented Imitation Learning via Language Model
Exploring Time-Space trade-offs for synchronized in Lilliput
CrowdMove: Autonomous Mapless Navigation in Crowded Scenarios
Improving Label-Deficient Keyword Spotting Using Self-Supervised Pretraining
Toward Heterogeneous, Distributed, and Energy-Efficient Computing with SYCL
Performance Comparison of Pre-trained Models for Speech-to-Text in Turkish: Whisper-Small and Wav2Vec2-XLS-R-300M
Multi-Objective Nonlinear Power Split Control For BESS With Real-Time Simulation Feedback
Consensual Aggregation on Random Projected High-dimensional Features for Regression
PAI Data, Summary of the Project PAI Data Protocol
High-Speed FHD Full-Color Video Computer-Generated Holography
A Report on the llms evaluating the high school questions
Deep Euler method: solving ODEs by approximating the local truncation error of the Euler method
Rethinking Learned Image Compression: Context is All You Need
On Refactoring Quantum Programs
An Interpretable Measure for Quantifying Predictive Dependence between Continuous Random Variables - Extended Version
Interaction-limited Inverse Reinforcement Learning
A Gradient-based Approach for Online Robust Deep Neural Network Training with Noisy Labels
Towards Fundamentally Scalable Model Selection: Asymptotically Fast Update and Selection
EquiCaps: Predictor-Free Pose-Aware Pre-Trained Capsule Networks
RNN-based Early Cyber-Attack Detection for the Tennessee Eastman Process
GANGs: Generative Adversarial Network Games
Minimum Entropy Orientations
SynthFormer: Equivariant Pharmacophore-based Generation of Molecules for Ligand-Based Drug Design
Apriori_Goal algorithm for constructing association rules for a database with a given classification
Twist Sequent Calculi for S4 and its Neighbors
Improving Code Switching with Supervised Fine Tuning and GELU Adapters
An Efficient NPN Boolean Matching Algorithm Based on Structural Signature and Shannon Expansion
Dynamic Evaluation of Power Distribution Lines for Determining the Number of Repair Teams and Prioritizing the Resolution of Faults Caused by High-Impact Low-Probability Events
Multiple Threshold Schemes Under The Weak Secure Condition
C++11 - idea r-wartości i przenoszenia
Age of Information: The Gamma Awakening
AICov: An Integrative Deep Learning Framework for COVID-19 Forecasting with Population Covariates
Rejoinder: New Objectives for Policy Learning
Are Frontier Large Language Models Suitable for Q&A in Science Centres?
Design of Communication Systems using Deep Learning: A Variational Inference Perspective
Intrusion Response Systems: Past, Present and Future
CausalRec: A CausalBoost Attention Model for Sequential Recommendation
Fixed-Time Cooperative Tracking Control for Double-Integrator Multi-Agent Systems: A Time-Based Generator Approach
Petabyte Scale Data Mining: Dream or Reality?
Semi-Explicit Solution of Some Discrete-Time Mean-Field-Type Games with Higher-Order Costs
Publishing computational research - A review of infrastructures for reproducible and transparent scholarly communication
AV Taris: Online Audio-Visual Speech Recognition
Web scraping: a promising tool for geographic data acquisition
Temporal Analysis of Reddit Networks via Role Embeddings
Some algorithms for maximum volume and cross approximation of symmetric semidefinite matrices