yusuke1997/dblp-id-title huggingface dataset:
Towards Full Automation of Geometry Extraction for Biomechanical Analysis of Abdominal Aortic Aneurysm; Neural Network-Based versus Classical Methodologies
Visibility Allocation Systems: How Algorithmic Design Shapes Online Visibility and Societal Outcomes
Kinetic equations and level-set approach for simulating solid-state microstructure evolutions at the mesoscopic scale: state of the art, limitations, and prospects
Predicting Atlantic Multidecadal Variability
Energy Conservative Relaxation-Free Runge-Kutta Schemes
Towards Efficient and Effective Self-Supervised Learning of Visual Representations
A Quantum Approach to the Unique Sink Orientation Problem
Brain Computer Interface (BCI) based on Electroencephalographic (EEG) patterns due to new cognitive tasks
Unsupervised and semi-supervised learning with Categorical Generative Adversarial Networks assisted by Wasserstein distance for dermoscopy image Classification
Extended HDG methods for second order elliptic interface problems
Partial Product Aware Machine Learning on DNA-Encoded Libraries
Observability analysis and state estimation of lithium-ion batteries in the presence of sensor biases
Induction, Coinduction, and Fixed Points: Intuitions and Tutorial
MARIO Eval: Evaluate Your Math LLM with your Math LLM-A mathematical dataset evaluation toolkit
Sharp Asymptotics of Kernel Ridge Regression Beyond the Linear Regime
Magneto-radiative modelling and artificial neural network optimization of biofluid flow in a stenosed arterial domain
Analysis of Inter-Event Times in Linear Systems under Event-Triggered or Self-Triggered Control
Two new parameters for the ordinal analysis of images
The Module Isomorphism Problem for Finite Rings and Related Results
MAMPS: Safe Multi-Agent Reinforcement Learning via Model Predictive Shielding
Dockerized Android: a container-based platform to build mobile Android scenarios for Cyber Ranges
Learning 3D Human Shape and Pose from Dense Body Parts
Design of an improved microstrip antenna operating at a frequency band of 28GHz
Social-LLaVA: Enhancing Robot Navigation through Human-Language Reasoning in Social Spaces
Predictive Causal Inference via Spatio-Temporal Modeling and Penalized Empirical Likelihood
SEAL : Interactive Tool for Systematic Error Analysis and Labeling
A System Dynamics Model of Bitcoin: Mining as an Efficient Market and the Possibility of "Peak Hash"
Breast Cancer Histopathology Image Classification and Localization using Multiple Instance Learning
Have We Really Understood Collaborative Information? An Empirical Investigation
Towards Theory of Massive-Parallel Proofs. Cellular Automata Approach
Automatic Contouring of Spinal Vertebrae on X-Ray using a Novel Sandwich U-Net Architecture
Optimal Transport in the Face of Noisy Data
Patient-Specific 3D Volumetric Reconstruction of Bioresorbable Stents: A Method to Generate 3D Geometries for Computational Analysis of Coronaries Treated with Bioresorbable Stents
Real-time Online Multi-Object Tracking in Compressed Domain
Modeling and Annotating the Expressive Semantics of Dance Videos
CCNU at SemEval-2025 Task 3: Leveraging Internal and External Knowledge of Large Language Models for Multilingual Hallucination Annotation
Learning Context for Text Categorization
Microscopic Evolution of Social Networks by Triad Position Profile
Splitting $B_2$-VPG graphs into outer-string and co-comparability graphs
RobIn: A Robust Interpretable Deep Network for Schizophrenia Diagnosis
Fourier-Based Spectral Analysis with Adaptive Resolution
Building Three-Dimensional Differentiable Manifolds Numerically
Audio-VLA: Adding Contact Audio Perception to Vision-Language-Action Model for Robotic Manipulation
Variational reaction-diffusion systems for semantic segmentation
CrossWalk: Fairness-enhanced Node Representation Learning
Efficient Human-Object-Interaction (EHOI) Detection via Interaction Label Coding and Conditional Decision
Effects of Word-frequency based Pre- and Post- Processings for Audio Captioning
Review on the Security Threats of Internet of Things
A Validation Procedure for the Estimation of Reachable Regions in Football
Unveiling LLM Mechanisms Through Neural ODEs and Control Theory
Entity-Augmented Distributional Semantics for Discourse Relations
Machine learning based co-creative design framework
Reparo: Loss-Resilient Generative Codec for Video Conferencing
Profile-based Resource Allocation for Virtualized Network Functions
Autonomous Penetration Testing: Solving Capture-the-Flag Challenges with LLMs
SafetyNet: Detecting Harmful Outputs in LLMs by Modeling and Monitoring Deceptive Behaviors
Sum-Rate Optimal Power Policies for Energy Harvesting Transmitters in an Interference Channel
Navigate in Demanding Missions: Integrating Human Intelligence and Brain-Inspired Intelligence
Controllability of Brain Networks
FC-KAN: Function Combinations in Kolmogorov-Arnold Networks
Attention on Attention: Architectures for Visual Question Answering (VQA)
Cloud Computing Concept and Roots
REMoH: A Reflective Evolution of Multi-objective Heuristics approach via Large Language Models
Mixture of Experts Soften the Curse of Dimensionality in Operator Learning
Representation Learning from Limited Educational Data with Crowdsourced Labels
Ambiguous Online Learning
SABIA: An AI-Powered Tool for Detecting Opioid-Related Behaviors on Social Media
Feedback Integrators Revisited
Profiling Resource Utilization of Bioinformatics Workflows
Descriptor and Word Soups: Overcoming the Parameter Efficiency Accuracy Tradeoff for Out-of-Distribution Few-shot Learning
Describing Colors, Textures and Shapes for Content Based Image Retrieval - A Survey
Established Clustering Procedures for Network Analysis
Effective Capacity of Retransmission Schemes - A Recurrence Relation Approach
Infinite wide (finite depth) Neural Networks benefit from multi-task learning unlike shallow Gaussian Processes - an exact quantitative macroscopic characterization
Reduced variance random batch methods for nonlocal PDEs
Application of quasi-Monte Carlo in Mine Countermeasure Simulations with a Stochastic Optimal Control Framework
Morphing Through Time: Diffusion-Based Bridging of Temporal Gaps for Robust Alignment in Change Detection
Discrete-Valued Control by Sum-of-Absolute-Values Optimization
Inverse Solvability and Security with Applications to Federated Learning
Time-Series Regeneration with Convolutional Recurrent Generative Adversarial Network for Remaining Useful Life Estimation
Hypercube-RAG: Hypercube-Based Retrieval-Augmented Generation for In-domain Scientific Question-Answering
Triformer: Triangular, Variable-Specific Attentions for Long Sequence Multivariate Time Series Forecasting-Full Version
Wearable Sensor Data Based Human Activity Recognition using Machine Learning: A new approach
Efficient Interleaved Speech Modeling through Knowledge Distillation
Visual question answering: from early developments to recent advances - a survey
FastCTF: A Robust Solver for Conduction Transfer Function Coefficients and Thermal Response Factors
Machine-Learning-Based Future Received Signal Strength Prediction Using Depth Images for mmWave Communications
On the expressive power of permanents and perfect matchings of matrices of bounded pathwidth/cliquewidth
Optimal and $H_\infty$ Control of Stochastic Reaction Networks
Zipf's law and L. Levin's probability distributions
Deep Learning for Clouds and Cloud Shadow Segmentation in Methane Satellite and Airborne Imaging Spectroscopy
Dual-Arm Whole-Body Motion Planning: Leveraging Overlapping Kinematic Chains
The evolution of classification systems: Ontogeny of the UDC
Population-Contrastive-Divergence: Does Consistency help with RBM training?
Space Rotation with Basis Transformation for Training-free Test-Time Adaptation
Soup to go: mitigating forgetting during continual learning with model averaging
Can LLMs Identify Gaps and Misconceptions in Students' Code Explanations?
Adaptative Step Size Selection for Homotopy Methods to Solve Polynomial Equations
Reasoning Around Paradox with Grounded Deduction
DZip: improved general-purpose lossless compression based on novel neural network modeling
A Large Language Model-Driven Reward Design Framework via Dynamic Feedback for Reinforcement Learning
IoTAthena: Unveiling IoT Device Activities from Network Traffic
Towards Exploring Fundamental Limits of System-Specific Cryptanalysis Within Limited Attack Classes: Application to ABSG
Effect of laboratory conditions on the perception of virtual stages for music
Moment evolution equations and moment matching for stochastic image EPDiff
A Survey on Generative Model Unlearning: Fundamentals, Taxonomy, Evaluation, and Future Direction
Lab-scale Vibration Analysis Dataset and Baseline Methods for Machinery Fault Diagnosis with Machine Learning
3D Printing of Near-Ambient Responsive Liquid Crystal Elastomers with Enhanced Nematic Order and Pluralized Transformation
Satellite Cybersecurity Across Orbital Altitudes: Analyzing Ground-Based Threats to LEO, MEO, and GEO
Design of robust controller applied for series elastic actuators in controlling humanoid's joint
Contrastive learning of T cell receptor representations
A multi-model approach using XAI and anomaly detection to predict asteroid hazards
Robust Chinese Word Segmentation with Contextualized Word Representations
Stripe-based and Attribute-aware Network: A Two-Branch Deep Model for Vehicle Re-identification
How to eliminate detour behaviors in E-hailing: On-line detection and Pricing regulation
Instance-level Performance Prediction for Long-form Generation Tasks
Public-Key Quantum Money and Fast Real Transforms
Exploiting temporal and depth information for multi-frame face anti-spoofing
A DSS framework for maintaining relevant features of the Small Business B2C Websites
LtU-ILI: An All-in-One Framework for Implicit Inference in Astrophysics and Cosmology
The NVIDIA PilotNet Experiments
On the scaling of Polar Codes: II. The behavior of un-polarized channels
Reliable Communication under the Influence of a State-Constrained Jammer: A Novel Perspective on Receive Diversity
On-Device Watermarking: A Socio-Technical Imperative For Authenticity In The Age of Generative AI
Image-Text Relation Prediction for Multilingual Tweets
Retracted Citations and Self-citations in Retracted Publications: A Comparative Study of Plagiarism and Fake Peer Review
Wall Street Tree Search: Risk-Aware Planning for Offline Reinforcement Learning
Numerical reparametrization of periodic planar curves via curvature interpolation
Reinforcement Learning based Multi-Robot Classification via Scalable Communication Structure
The Mathematical Foundation of Post-Quantum Cryptography
Online Reinforcement Learning for Periodic MDP
ResDepth: A Deep Prior For 3D Reconstruction From High-resolution Satellite Images
Cutting is All You Need: Execution of Large-Scale Quantum Neural Networks on Limited-Qubit Devices
Introducing a New Mechanism for Construction of an Efficient Search Model
Data-driven Planning via Imitation Learning
nuCarla: A nuScenes-Style Bird's-Eye View Perception Dataset for CARLA Simulation
The perturbation analysis of nonconvex low-rank matrix robust recovery
Analyzing Fairness of Classification Machine Learning Model with Structured Dataset
Open Sesame: Getting Inside BERT's Linguistic Knowledge
Semantic Source Code Segmentation using Small and Large Language Models
Dual-Layer Video Encryption using RSA Algorithm
Reed-Muller Codes Achieve Capacity on BMS Channels
How to improve the accuracy of the discrete gradient method in the one-dimensional case
How Many and What Types of SPARQL Queries can be Answered through Zero-Knowledge Link Traversal?
Ground-Truth Adversarial Examples
SK-Net: Deep Learning on Point Cloud via End-to-end Discovery of Spatial Keypoints
A framework for implementing general virtual element spaces
The Universal NFT Vector Database: A Scaleable Vector Database for NFT Similarity Matching
Sign Language: Towards Sign Understanding for Robot Autonomy
Acoustic Landmarks Contain More Information About the Phone String than Other Frames
Self-Supervised Implicit Attention Priors for Point Cloud Reconstruction
TDANet: Target-Directed Attention Network For Object-Goal Visual Navigation With Zero-Shot Ability
On Multi-Agent Learning in Team Sports Games
Frame-rate Up-conversion Detection Based on Convolutional Neural Network for Learning Spatiotemporal Features
C3VQG: Category Consistent Cyclic Visual Question Generation
Your Pre-trained LLM is Secretly an Unsupervised Confidence Calibrator
Towards Reducing the Need for Speech Training Data To Build Spoken Language Understanding Systems
Tracing a Loose Wordhood for Chinese Input Method Engine
Adaptive Width Neural Networks
Towards Diverse Text Generation with Inverse Reinforcement Learning
Fisher information flow in artificial neural networks
Seafloor Classification based on an AUV Based Sub-bottom Acoustic Probe Data for Mn-crust survey
When Large Language Models Meet Optical Networks: Paving the Way for Automation
On Distributed Computing for Functions with Certain Structures
Analysis of Status Update in Wireless Networks with Successive Interference Cancellation
Estimating the Benefits of Electric Vehicle Smart Charging at Non-Residential Locations: A Data-Driven Approach
On Stochastic Estimation of Partition Function
Learning sparse auto-encoders for green AI image coding
Elliptic cross sections in blood flow regulation
Few-shot Image Recognition with Manifolds
WebCoT: Enhancing Web Agent Reasoning by Reconstructing Chain-of-Thought in Reflection, Branching, and Rollback
A Universal Hypercomputer
Bayesian Hypothesis Test for Sparse Support Recovery using Belief Propagation
Enhancing Physical Consistency in Lightweight World Models
Maslow's Hammer for Catastrophic Forgetting: Node Re-Use vs Node Activation
RobuNFR: Evaluating the Robustness of Large Language Models on Non-Functional Requirements Aware Code Generation
Fundamentals of the Backoff Process in 802.11
CODECLEANER: Elevating Standards with A Robust Data Contamination Mitigation Toolkit
URECA: The Chain of Two Minimum Set Cover Problems exists behind Adaptation to Shifts in Semantic Code Search
Commutativity of Systems with their Feedback Conjugates
Fine-Grained Prediction of Political Leaning on Social Media with Unsupervised Deep Learning
Localized Data Work as a Precondition for Data-Centric ML: A Case Study of Full Lifecycle Crop Disease Identification in Ghana
Weak Markovian Bisimulation Congruences and Exact CTMC-Level Aggregations for Concurrent Processes
Proceedings Third International Symposium on Games, Automata, Logics and Formal Verification, GandALF 2012, Napoli, Italy, September 6-8, 2012
Gaussian Processes on Graphs via Spectral Kernel Learning
smallNet: Implementation of a convolutional layer in tiny FPGAs
Distance-Geometric Graph Convolutional Network (DG-GCN)
Learning to Bootstrap for Combating Label Noise
LabelRankT: Incremental Community Detection in Dynamic Networks via Label Propagation
Multi-target and multi-stage liver lesion segmentation and detection in multi-phase computed tomography scans
Explicit Clothing Modeling for an Animatable Full-Body Avatar
Foundations of space-time finite element methods: polytopes, interpolation, and integration
On the phase diagram of extensive-rank symmetric matrix denoising beyond rotational invariance
SSAM: Self-Supervised Association Modeling for Test-Time Adaption
Design and implementation of image processing system for Lumen social robot-humanoid as an exhibition guide for Electrical Engineering Days 2015
Is it a "Good" Encoding of Mixed Choice? (Technical Report)
Safe and Economical UAV Trajectory Planning in Low-Altitude Airspace: A Hybrid DRL-LLM Approach with Compliance Awareness
Improving Bandwidth Efficiency of FBMC-OQAM Through Virtual Symbols
It's the Journey Not the Destination: Building Genetic Algorithms Practitioners Can Trust
Phase transitions in spiked matrix estimation: information-theoretic analysis
Process Algebra Based Tool Coordination Architectures in Raku and Go
A relaxed localized trust-region reduced basis approach for optimization of multiscale problems
Embedded real-time stereo estimation via Semi-Global Matching on the GPU
Improving Explicit Spatial Relationships in Text-to-Image Generation through an Automatically Derived Dataset
Grounding Computer Use Agents on Human Demonstrations
Asymptotic Theory of 𝓁 1 -Regularized PDE Identification from a Single Noisy Trajectory
Corner2Net: Detecting Objects as Cascade Corners
A novel Adaptive weighted Kronecker Compressive Sensing
Partisanship, Propaganda and Post-Truth Politics: Quantifying Impact in Online Debate
MoFA: Model-based Deep Convolutional Face Autoencoder for Unsupervised Monocular Reconstruction
Analysis on Blockchain Consensus Mechanism Based on Proof of Work and Proof of Stake
Computing the obstacle number of a plane graph
Vehicles Swarm Intelligence: Cooperation in both Longitudinal and Lateral Dimensions
AprielGuard
Infinite Neural Operators: Gaussian processes on functions
User Interface Design for E-Learning Software
Online Load Balancing on Uniform Machines with Limited Migration
Shallow Optical Flow Three-Stream CNN for Macro- and Micro-Expression Spotting from Long Videos
Optimal Trade and Industrial Policies in the Global Economy: A Deep Learning Framework
Learning Individual Intrinsic Reward in Multi-Agent Reinforcement Learning via Incorporating Generalized Human Expertise
EfficientGrasp: A Unified Data-Efficient Learning to Grasp Method for Multi-fingered Robot Hands
Social Behaviour Understanding using Deep Neural Networks: Development of Social Intelligence Systems
Exploring Effects of Hyperdimensional Vectors for Tsetlin Machines
Approximate Nearest Neighbor Search in High Dimensions
Multilevel neural simulation-based inference
On the Performance Gain of NOMA over OMA in Uplink Single-cell Systems
Global Relation Modeling and Refinement for Bottom-Up Human Pose Estimation
Surfacing Misconceptions Through Visualization Critique
Sharp analysis of out-of-distribution error for "importance-weighted" estimators in the overparameterized regime
What Signals Really Matter for Misinformation Tasks? Evaluating Fake-News Detection and Virality Prediction under Real-World Constraints
Parkinson's Disease Diagnosis based on Gait Cycle Analysis Through an Interpretable Interval Type-2 Neuro-Fuzzy System
Passivity and Decentralized Stability Conditions for Grid-Forming Converters
Can We Utilize Pre-trained Language Models within Causal Discovery Algorithms?
Multi-AI Complex Systems in Humanitarian Response
Safe multi-agent motion planning under uncertainty for drones using filtered reinforcement learning
DialogXpert: Driving Intelligent and Emotion-Aware Conversations through Online Value-Based Reinforcement Learning with LLM Priors
Progressive Binarization with Semi-Structured Pruning for LLMs
Quantum Supremacy and the Complexity of Random Circuit Sampling
Where Should I Spend My FLOPS? Efficiency Evaluations of Visual Pre-training Methods
Accuracy and performance of phase change and latent heat models in metal additive manufacturing process simulation
Image Quality Assessment using Contrastive Learning
Explaining Indian Stock Market through Geometry of Scale free Networks
Number of double-normal pairs in space
When a random tape is not enough: lower bounds for a problem in adversarially robust streaming
A hands-on Assessment of Transport Protocols with Lower than Best Effort Priority
Empirically explaining SGD from a line search perspective
Faster Radix Sort via Virtual Memory and Write-Combining
ManiSkill: Learning-from-Demonstrations Benchmark for Generalizable Manipulation Skills
Equations in wreath products
Towards Understanding Generics
Regulating Spatial Fairness in a Tripartite Micromobility Sharing System via Reinforcement Learning
Bayesian Inference for Radar Imagery Based Surveillance
Max-affine regression via first-order methods
Multiscale Superpixel Structured Difference Graph Convolutional Network for VL Representation
DeepFracture: A Generative Approach for Predicting Brittle Fractures
StressRoBERTa: Cross-Condition Transfer Learning from Depression, Anxiety, and PTSD to Stress Detection
A Gaze-Assisted Multimodal Approach to Rich and Accessible Human-Computer Interaction
Stochastic gradient descent with noise of machine learning type. Part II: Continuous time analysis
Perturbation-based Graph Active Learning for Weakly-Supervised Belief Representation Learning
Multi-class classification: mirror descent approach
Load curve data cleansing and imputation via sparsity and low rank
SOLAR: Scalable Optimization of Large-scale Architecture for Reasoning
Learning to Generate Training Datasets for Robust Semantic Segmentation
Joint Orchestration of Cloud-Based Microservices and Virtual Network Functions
About the efficient reduction of lambda terms
Toward a More Biologically Plausible Neural Network Model of Latent Cause Inference
Learning with Differentiable Algorithms
Finding the growth rate of a regular language in polynomial time
Evaluating the Effectiveness of Small Language Models in Detecting Refactoring Bugs
Giving Operational Meaning to the Superposition of Causal Orders
Comparing CPU and GPU compute of PERMANOVA on MI300A
Characterizing the Sample Complexity of Private Learners
Multistable binary decision making on networks
Stochastic Porous Microstructures
Finding Nemo: Searching and Resolving Identities of Users Across Online Social Networks
Likelihood Reward Redistribution
A Distinguisher-Based Attack on a Variant of McEliece's Cryptosystem Based on Reed-Solomon Codes
An entropy inequality for symmetric random variables
Simple statistical models and sequential deep learning for Lithium-ion batteries degradation under dynamic conditions: Fractional Polynomials vs Neural Networks
LLM-based Automated Grading with Human-in-the-Loop
The Euler Path to Static Level-Ancestors
Ideas for the future of Prolog inspired by Oz
SAIGFormer: A Spatially-Adaptive Illumination-Guided Network for Low-Light Image Enhancement
Face Alignment In-the-Wild: A Survey
SynthCTI: LLM-Driven Synthetic CTI Generation to enhance MITRE Technique Mapping
Paper Copilot: The Artificial Intelligence and Machine Learning Community Should Adopt a More Transparent and Regulated Peer Review Process
Enhancing autonomy transparency: an option-centric rationale approach
Evaluating the Potential of Quantum Machine Learning in Cybersecurity: A Case-Study on PCA-based Intrusion Detection Systems
Accumulative Iterative Codes Based on Feedback
Reducing the Prediction Horizon in NMPC: An Algorithm Based Approach
Evaluation of Synthetic Datasets for Conversational Recommender Systems
An Improved Physics Based Numerical Model of Tunnel FET Using 2D NEGF Formalism
Cross-Domain Document Layout Analysis via Unsupervised Document Style Guide
Smart Contract-based Computing ResourcesTrading in Edge Computing
A Flexible GMRES Solver with Reduced Order Model Enhanced Synthetic Acceleration Preconditioenr for Parametric Radiative Transfer Equation
Misclassification excess risk bounds for 1-bit matrix completion
Applying causality principles to the axiomatization of probabilistic cellular automata
Can Membership Inferencing be Refuted?
Outperforming 5G LDPC codes with GRAND over long, low rate codes - making a long story short
How Language Models Conflate Logical Validity with Plausibility: A Representational Analysis of Content Effects
Deep Learning-Based Object Pose Estimation: A Comprehensive Survey
NeuralDiffuser: Controllable fMRI Reconstruction with Primary Visual Feature Guided Diffusion
Motion-Zero: Zero-Shot Moving Object Control Framework for Diffusion-Based Video Generation
Motion Generation Interface of ROS to PODO Software Framework for Wheeled Huamanoid Robot
Local and global approaches of affinity propagation clustering for large scale data
Kayotee: A Fault Injection-based System to Assess the Safety and Reliability of Autonomous Vehicles to Faults and Errors
Reward-SQL: Boosting Text-to-SQL via Stepwise Reasoning and Process-Supervised Rewards
Dynamical Classes of Collective Attention in Twitter
Splitting vertices of bipartite graphs preserves de Bruijn-Erdős property
A connection between topological ligaments in shape optimization and thin tubular inhomogeneities