yusuke1997/dblp-id-title huggingface dataset:
Improving Matrix Exponential for Generative AI Flows: A Taylor-Based Approach Beyond Paterson-Stockmeyer
Working Locally Thinking Globally - Part II: Stability and Algorithms for Convolutional Sparse Coding
Local Online Motor Babbling: Learning Motor Abundance of A Musculoskeletal Robot Arm
Improved Approximation for Two-dimensional Vector Multiple Knapsack
Distributional Clustering: A distribution-preserving clustering method
SeqAug: Sequential Feature Resampling as a modality agnostic augmentation method
Identifying Co-Adaptation of Algorithmic and Implementational Innovations in Deep Reinforcement Learning: A Taxonomy and Case Study of Inference-based Algorithms
Exploring System-Heterogeneous Federated Learning with Dynamic Model Selection
Under-Optimized Smart Contracts Devour Your Money
Known-plaintext attack and ciphertext-only attack for encrypted single-pixel imaging
E-HORM: An Energy-efficient Hole Removing Mechanism in Wireless Senor Networks
Hamiltonian Neural Networks for solving differential equations
Approximation Algorithms for Distributionally Robust Stochastic Optimization with Black-Box Distributions
The model of the tables in design documentation for operating with the electronic catalogs and for specifications making in a CAD system
VEglue: Testing Visual Entailment Systems via Object-Aligned Joint Erasing
Overfitting of neural nets under class imbalance: Analysis and improvements for segmentation
A Structured Neural ODE Approach for Real Time Evaluation of AC Losses in 3D Superconducting Tapes
Depth-induced NTK: Bridging Over-parameterized Neural Networks and Deep Neural Kernels
Controlling Whisper: Universal Acoustic Adversarial Attacks to Control Speech Foundation Models
IPO: Interior-point Policy Optimization under Constraints
Self-supervised Speaker Recognition Training Using Human-Machine Dialogues
Hybrid-Hierarchical Fashion Graph Attention Network for Compatibility-Oriented and Personalized Outfit Recommendation
Analyzing the Closed-Loop Performance of Detect-And-Avoid Systems
GuardReasoner: Towards Reasoning-based LLM Safeguards
Making I/O Virtualization Easy with Device Files
PL-MTEB: Polish Massive Text Embedding Benchmark
Chair Segments: A Compact Benchmark for the Study of Object Segmentation
Analysis of Content-Oriented Heterogeneous Networks with D2D and Cognitive Communications
Multi-Modality Guidance Network For Missing Modality Inference
PhishDebate: An LLM-Based Multi-Agent Framework for Phishing Website Detection
Weight Poisoning Attacks on Pre-trained Models
Resource Distribution Under Spatiotemporal Uncertainty of Disease Spread: Stochastic versus Robust Approaches
Effect of the initial configuration of weights on the training and function of artificial neural networks
Integrating Quantized LLMs into Robotics Systems as Edge AI to Leverage their Natural Language Processing Capabilities
Simulated Mental Imagery for Robotic Task Planning
SAGE: Sequential Attribute Generator for Analyzing Glioblastomas using Limited Dataset
CPAM: Context-Preserving Adaptive Manipulation for Zero-Shot Real Image Editing
Semi-Supervised Defect Detection via Conditional Diffusion and CLIP-Guided Noise Filtering
The Impact of Quantity of Training Data on Recognition of Eating Gestures
The Coverage Principle: How Pre-Training Enables Post-Training
USLN: A statistically guided lightweight network for underwater image enhancement via dual-statistic white balance and multi-color space stretch
CrowdPlanner: A Crowd-Based Route Recommendation System
Towards Agile Robots: Intuitive Robot Position Speculation with Neural Networks
Energy stable neural network for gradient flow equations
Shallow camera pipeline for night photography rendering
A Systematic Review of Few-Shot Learning in Medical Imaging
On the periodicity of cardiovascular fluid dynamics simulations
On the Generation and Removal of Speaker Adversarial Perturbation for Voice-Privacy Protection
TTSDS2: Resources and Benchmark for Evaluating Human-Quality Text to Speech Systems
Deep Learning-Based Classification Of the Defective Pistachios Via Deep Autoencoder Neural Networks
PG-ControlNet: A Physics-Guided ControlNet for Generative Spatially Varying Image Deblurring
ECO-TR: Efficient Correspondences Finding Via Coarse-to-Fine Refinement
Neural Network Processing Neural Networks: An efficient way to learn higher order functions
GRPO-RM: Fine-Tuning Representation Models via GRPO-Driven Reinforcement Learning
BioBLP: A Modular Framework for Learning on Multimodal Biomedical Knowledge Graphs
Gait Pattern Recognition Using Accelerometers
A Codebook-Based Limited Feedback System for Large-Scale MIMO
EmbodiedOcc: Embodied 3D Occupancy Prediction for Vision-based Online Scene Understanding
Perfect Necklaces
Attention Aware Cost Volume Pyramid Based Multi-view Stereo Network for 3D Reconstruction
An Approach to Solve Linear Equations Using a Time-Variant Adaptation Based Hybrid Evolutionary Algorithm
Complexity of Gaussian boson sampling with tensor networks
Data Diversification Methods In Alignment Enhance Math Performance In LLMs
Detecting Visual Cues in the Intensive Care Unit and Association with Patient Clinical Status
Storing complex data sharing policies with the Min Mask Sketch
ORI: O Routing Intelligence
Many Task Learning with Task Routing
Prediction of Bank Credit Ratings using Heterogeneous Topological Graph Neural Networks
Research on the quantity and brightness evolution characteristics of Photospheric Bright Points groups
Service-the-Longest-Queue Among d Choices Policy for Quantum Entanglement Switching
Unlocking Varied Perspectives: A Persona-Based Multi-Agent Framework with Debate-Driven Text Planning for Argument Generation
DP-XGBoost: Private Machine Learning at Scale
DATAP-SfM: Dynamic-Aware Tracking Any Point for Robust Structure from Motion in the Wild
Robot-assisted Soil Apparent Electrical Conductivity Measurements in Orchards
Evaluating Deep Neural Networks in Deployment (A Comparative and Replicability Study)
Automated Attack Testflow Extraction from Cyber Threat Report using BERT for Contextual Analysis
Minimum HGR Correlation Principle: From Marginals to Joint Distribution
Rethink AI-based Power Grid Control: Diving Into Algorithm Design
An AI-Based Shopping Assistant System to Support the Visually Impaired
Recommendations for repositories and scientific gateways from a neuroscience perspective
Good Time to Ask: A Learning Framework for Asking for Help in Embodied Visual Navigation
Social media emotion macroscopes reflect emotional experiences in society at large
Interplay Between AI and Space-Air-Ground Integrated Network: The Road Ahead
A Valgrind Tool to Compute the Working Set of a Software Process
Identifying Classes Susceptible to Adversarial Attacks
Hardware In The Loop Simulator in UAV Rapid Development Life Cycle
Dynamic Multi-View Fusion Mechanism For Chinese Relation Extraction
Gastrointestinal Mucosal Problems Classification with Deep Learning
Conversational Assistants to support Heart Failure Patients: comparing a Neurosymbolic Architecture with ChatGPT
Towards Optimal Adaptive Wireless Communications in Unknown Environments
On the Choice of Loss Function in Learning-based Optimal Power Flow
STSeg-Complex Video Object Segmentation: The 1st Solution for 4th PVUW MOSE Challenge
From Sleep Staging to Spindle Detection: Evaluating End-to-End Automated Sleep Analysis
Unending Sequential Auctions
Collaborative thesaurus tagging the Wikipedia way
Interstellar Object Accessibility and Mission Design
A simple way to learn metrics between attributed graphs
Integration of Preferences in Decomposition Multi-Objective Optimization
A topological analysis of cointegrated data: a Z24 Bridge case study
Potrika: Raw and Balanced Newspaper Datasets in the Bangla Language with Eight Topics and Five Attributes
recommenderlab: An R Framework for Developing and Testing Recommendation Algorithms
Style Composition within Distinct LoRA modules for Traditional Art
Cartes auto-organisées pour l'analyse exploratoire de données et la visualisation
Online Inference for Quantiles by Constant Learning-Rate Stochastic Gradient Descent
CompAgent: An Agentic Framework for Visual Compliance Verification
Faster Mutation Analysis via Equivalence Modulo States
Characterization and Mitigation of Training Instabilities in Microscaling Formats
Graph-based Robot Localization Using a Graph Neural Network with a Floor Camera and a Feature Rich Industrial Floor
The cyclic job-shop scheduling problem: The new subclass of the job-shop problem and applying the Simulated annealing to solve it
Item-Item Music Recommendations With Side Information
Entity-Level Text-Guided Image Manipulation
An Atomic Skill Library Construction Method for Data-Efficient Embodied Manipulation
On the Rate of Information Loss in Memoryless Systems
OffTopicEval: When Large Language Models Enter the Wrong Chat, Almost Always!
Nominal Sets in Agda - A Fresh and Immature Mechanization
Forgetting Data from Pre-trained GANs
A new discretely divergence-free positivity-preserving high-order finite volume method for ideal MHD equations
SpectraLDS: Provable Distillation for Linear Dynamical Systems
Towards Providing Connectivity When and Where It Counts: An Overview of Deployable 5G Networks
Stochastic and Distributionally Robust Load Ensemble Control
Beyond Convolutions: A Novel Deep Learning Approach for Raw Seismic Data Ingestion
BSGD-TV: A parallel algorithm solving total variation constrained image reconstruction problems
Optimization of Information Reconciliation for Decoy-State Quantum Key Distribution over a Satellite Downlink Channel
PDE-SHARP: PDE Solver Hybrids through Analysis and Refinement Passes
A Bulirsch-Stoer algorithm using Gaussian processes
Proceedings 8th International Workshop on Computing with Terms and Graphs, TERMGRAPH 2014, Vienna, Austria, July 13, 2014
Machine learning for risk analysis of Urinary Tract Infection in people with dementia
Design and Evaluation of SEANet: a Software-defined Networking Platform for the Internet of Underwater Things
Enhanced Information Extraction from Cylindrical Visual-Tactile Sensors via Image Fusion
How Better is Distributed SDN? An Analytical Approach
Sufficient set of integrability conditions of an orthonomic system
Hidden Markov Models for Gene Sequence Classification: Classifying the VSG gene in the Trypanosoma brucei Genome
Hyperparameter Optimization via Interacting with Probabilistic Circuits
Small disturbances can trigger cascading failures in power grids
Fairness in Rankings and Recommendations: An Overview
Semi-supervised clustering methods
Conditional Adversarial Synthesis of 3D Facial Action Units
Optimality-based Analysis of XCSF Compaction in Discrete Reinforcement Learning
Du corpus au dictionnaire
Facets, Taxonomies, and Syntheses: Navigating Structured Representations in LLM-Assisted Literature Review
Large Language Models to the Rescue: Reducing the Complexity in Scientific Workflow Development Using ChatGPT
Chemception: A Deep Neural Network with Minimal Chemistry Knowledge Matches the Performance of Expert-developed QSAR/QSPR Models
Automated Identification of Vulnerable Devices in Networks using Traffic Data and Deep Learning
VLM-R1: A Stable and Generalizable R1-style Large Vision-Language Model
EDCC 2012 - Fast Abstracts & Student Forum Proceedings
An entropy formula for the Deep Linear Network
Improving Image Restoration through Removing Degradations in Textual Representations
An Experimental Study of Semantic Continuity for Deep Learning Models
Comparative Performance Analysis of Transformer-Based Pre-Trained Models for Detecting Keratoconus Disease
R-PRM: Reasoning-Driven Process Reward Modeling
Discovering Human Interactions in Videos with Limited Data Labeling
Gap Preserving Reductions between Reconfiguration Problems
Spatial-Temporal Generative AI for Traffic Flow Estimation with Sparse Data of Connected Vehicles
Extended Hybrid Zero Dynamics for Bipedal Walking of the Knee-less Robot SLIDER
Consistent Community Detection in Continuous-Time Networks of Relational Events
Market-level Analysis of Government-backed COVID-19 Contact Tracing Apps
The Power of Hard Attention Transformers on Data Sequences: A Formal Language Theoretic Perspective
Video Captioning Using Weak Annotation
Distributed and Optimal Reduced Primal-Dual Algorithm for Uplink OFDM Resource Allocation
An inexact-penalty method for GNE seeking in games with dynamic agents
End-users needs and requirements for tools to support critical infrastructures protection
Exploring MLOps Dynamics: An Experimental Analysis in a Real-World Machine Learning Project
Differential Privacy as a Perk: Federated Learning over Multiple-Access Fading Channels with a Multi-Antenna Base Station
Deep Learning Scaling is Predictable, Empirically
Optimal convergence rates for goal-oriented FEM with quadratic goal functional
Neural Message Passing for Multi-Label Classification
A Beta-Beta Achievability Bound with Applications
Review of Mobile Apps Permissions and Associated Intrusive Privacy Threats
Code-Verification Techniques for the Method-of-Moments Implementation of the Combined-Field Integral Equation
Understanding Pre-training and Fine-tuning from Loss Landscape Perspectives
Improved Modeling of the Correlation Between Continuous-Valued Sources in LDPC-Based DSC
Information-theoretic Capacity of Clustered Random Networks
When Dimensionality Hurts: The Role of LLM Embedding Compression for Noisy Regression Tasks
Discrete Infomax Codes for Meta-Learning
Efficient and Convergent Federated Learning
Generate Any Scene: Evaluating and Improving Text-to-Vision Generation with Scene Graph Programming
Solving Power System Differential Algebraic Equations Using Differential Transformation
To Fuse or Not to Fuse: Measuring Consistency in Multi-Sensor Fusion for Aerial Robots
DEFT: Distilling Entangled Factors
Open Source Software and Data for Human Service Development: A Case Study on Predicting Housing Instability
Domain Adaptation with Randomized Multilinear Adversarial Networks
Optimizing Ultra-Reliable and Low-Latency Communication Systems with Unsupervised Learning
Generative Pretraining at Scale: Transformer-Based Encoding of Transactional Behavior for Fraud Detection
SemToken: Semantic-Aware Tokenization for Efficient Long-Context Language Modeling
Boosting Federated Domain Generalization: Understanding the Role of Advanced Pre-Trained Architectures
Reconsideration on evaluation of machine learning models in continuous monitoring using wearables
Enabling and Assessing Trust when Cooperating with Robots in Disaster Response (EASIER)
Fast optimization of common basis for matrix set through Common Singular Value Decomposition
More Than 50% Of The Time, Users Detect Real SMS as Fake: A Smishing Detection Study Of US Population
A Game of Nontransitive Dice
Kick Motions for the NAO Robot using Dynamic Movement Primitives
Model predictive trajectory optimization and tracking for on-road autonomous vehicles
NBNet: Noise Basis Learning for Image Denoising with Subspace Projection
Moment kernels: a simple and scalable approach for equivariance to rotations and reflections in deep convolutional networks
Direct Post-Training Preference Alignment for Multi-Agent Motion Generation Models Using Implicit Feedback from Pre-training Demonstrations
Unidirectional Video Denoising by Mimicking Backward Recurrent Modules with Look-ahead Forward Ones
Dissecting Larval Zebrafish Hunting using Deep Reinforcement Learning Trained RNN Agents
On the Reliability and Concurrent Unicast Transmission Node Control of 5G NR-V2X Networks
Extensible Validation Framework for DSLs using MontiCore on the Example of Coding Guidelines
Optimal Resource Allocation and Beamforming for Two-User MISO WPCNs for a Non-linear Circuit-Based EH Model
Inferring Outcome Means of Exponential Family Distributions Estimated by Deep Neural Networks
Approximate Message Passing for Bayesian Neural Networks
A Penalty-projection based Efficient and Accurate Stochastic Collocation Method for Magnetohydrodynamic Flows
Divergence Method to Stability Study of Andronov-Vyshnegradsky Problem. Hidden Oscillations
Prompt Injection Attacks on LLM Generated Reviews of Scientific Publications
Correlation Dimension of Natural Language in a Statistical Manifold
Cloud Penetration Testing
Optimal Dispatch of Residential Photovoltaic Inverters Under Forecasting Uncertainties
Matrix Factorization for Inferring Associations and Missing Links
Analogies and Feature Attributions for Model Agnostic Explanation of Similarity Learners
Global HRTF Interpolation via Learned Affine Transformation of Hyper-conditioned Features
Information Anxiety in Large Language Models
Hybrid Indexes for Repetitive Datasets
REDDIX-NET: A Novel Dataset and Benchmark for Moderating Online Explicit Services
Explainable LightGBM Approach for Predicting Myocardial Infarction Mortality
Getting More From Your Multicore: Exploiting OpenMP From An Open Source Numerical Scripting Language
Convergence of the Finite Volume Method on Unstructured Meshes for a 3D Phase Field Model of Solidification
Quadratization of ODEs: Monomial vs. Non-Monomial
Safety Without Semantic Disruptions: Editing-free Safe Image Generation via Context-preserving Dual Latent Reconstruction
A Note on Fine-Grained Quantum Reductions for Linear Algebraic Problems
Survey Paper on Control Barrier Functions
Gemini: A Grammar and Recommender System for AnimatedTransitions in Statistical Graphics
AGI Agent Safety by Iteratively Improving the Utility Function
Large scale link based latent Dirichlet allocation for web document classification
Automated Heterogeneous Network learning with Non-Recursive Message Passing
Average-Case to (shifted) Worst-Case Reduction for the Trace Reconstruction Problem
PromAssistant: Leveraging Large Language Models for Text-to-PromQL
Distributed Base Station: A Concept System for Long-Range Broadband Wireless Access
Exploring Neural Network Landscapes: Star-Shaped and Geodesic Connectivity
Memory-Efficient Personalization using Quantized Diffusion Model
Local iterative algorithms for approximate symmetry guided by network centralities
Common Corruptions for Enhancing and Evaluating Robustness in Air-to-Air Visual Object Detection
Authoring case based training by document data extraction
Mixed Integer Linear Program model for optimized scheduling of a vanadium redox flow battery with variable efficiencies, capacity fade, and electrolyte maintenance
Establishing phone-pair co-usage by comparing mobility patterns
Towards Universal Paraphrastic Sentence Embeddings
Autonomous Robots for Active Removal of Orbital Debris
Motion Equivariance OF Event-based Camera Data with the Temporal Normalization Transform
Efficient algorithms for regularized Poisson Non-negative Matrix Factorization
Boolean Reasoning-Based Biclustering for Shifting Pattern Extraction
MAC protocol classification in the ISM band using machine learning methods
Emergency Response Measures for Catastrophic AI Risk
Spurious solutions for high order curl problems
Quantum Private Comparison: A Review
Seeing Identity in Data: Can Anthropographics Uncover Racial Homophily in Emotional Responses?
D numbers theory: a generalization of Dempster-Shafer theory
An Algorithm for the Decomposition of Complete Graph into Minimum Number of Edge-disjoint Trees
Samba-ASR: State-Of-The-Art Speech Recognition Leveraging Structured State-Space Models
Achlys : Towards a framework for distributed storage and generic computing applications for wireless IoT edge networks with Lasp on GRiSP
It's All in The [MASK]: Simple Instruction-Tuning Enables BERT-like Masked Language Models As Generative Classifiers
$Υ$-DB: Managing scientific hypotheses as uncertain data
Observations on Symmetric Circuits
Geographica: A Benchmark for Geospatial RDF Stores
Realistic Evaluation of TabPFN v2 in Open Environments
Small PSL(2, F) representations of Seifert fiber space groups
Respecting Temporal-Causal Consistency: Entity-Event Knowledge Graphs for Retrieval-Augmented Generation
Generalizing Verifiable Instruction Following
A Tutorial on the Mathematical Model of Single Cell Variational Inference
Hierarchical Hybrid Learning for Long-Horizon Contact-Rich Robotic Assembly
ChartGPT: Leveraging LLMs to Generate Charts from Abstract Natural Language
Regular Potential Games
Adversarial Contrastive Domain-Generative Learning for Bacteria Raman Spectrum Joint Denoising and Cross-Domain Identification
Photonic restricted Boltzmann machine for content generation tasks
Unveiling Emotions from EEG: A GRU-Based Approach
Faster Optimization-Based Meta-Learning Adaptation Phase
A New Rational Algorithm for View Updating in Relational Databases
PEAK SHIFT ESTIMATION A novel method to estimate ranking of selectively omitted examination data
Rule-Based Drawing, Analysis and Generation of Graphs for Mason's Mark Design
FairTalk: Facilitating Balanced Participation in Video Conferencing by Implicit Visualization of Predicted Turn-Grabbing Intention
Wearable Sensors for Spatio-Temporal Grip Force Profiling
Some comments on the structure of the best known networks sorting 16 elements
Deep Feature Learning with Relative Distance Comparison for Person Re-identification
Study of Humanoid Push Recovery Based on Experiments
Neuromorphic Nearest-Neighbor Search Using Intel's Pohoiki Springs
Stochastic Flight Plan Optimization
A Hybrid Genetic Algorithm for the Traveling Salesman Problem with Drone
Zero-shot Nuclei Detection via Visual-Language Pre-trained Models
MAD-MulW: A Multi-Window Anomaly Detection Framework for BGP Security Events
Stability of Modified-CS and LS-CS for Recursive Reconstruction of Sparse Signal Sequences
GENEVA: Pushing the Limit of Generalizability for Event Argument Extraction with 100+ Event Types
Robust Pan-Cancer Mitotic Figure Detection with YOLOv12
A new proof of the Gasca-Maeztu conjecture for n = 5
Hyper Heterogeneous Cloud-based IMS Software Architecture: A Proof-of-Concept and Empirical Analysis
Exploring and Reshaping the Weight Distribution in LLM
Enabling the Reuse of Personal Data in Research: A Classification Model for Legal Compliance
Learning Stochastic Dynamical Systems with Structured Noise
Mask-guided Data Augmentation for Multiparametric MRI Generation with a Rare Hepatocellular Carcinoma
Modeling and Verifying Cyber-Physical Systems with Hybrid Active Objects
Any-speaker Adaptive Text-To-Speech Synthesis with Diffusion Models
On Second-Moment Stability of Discrete-Time Linear Systems with General Stochastic Dynamics
A Visualization Authoring Model for Post-WIMP Interfaces
EMCAD: Efficient Multi-scale Convolutional Attention Decoding for Medical Image Segmentation
Kernel-based estimators for functional causal effects
Evaluation data contamination in LLMs: how do we measure it and (when) does it matter?
Solving LLM Repetition Problem in Production: A Comprehensive Study of Multiple Solutions
Emergent properties of the local geometry of neural loss landscapes
Quasi-Optimal Leader Election Algorithms in Radio Networks with Loglogarithmic Awake Time Slots
Resource Utilization Optimized Federated Learning
CACA Agent: Capability Collaboration based AI Agent
Solving Integrated Process Planning and Scheduling Problem via Graph Neural Network Based Deep Reinforcement Learning
Differential tomography of micromechanical evolution in elastic materials of unknown micro/macrostructure
On-demand 5G Private Networks using a Mobile Cell
Multi-Phase Spacecraft Trajectory Optimization via Transformer-Based Reinforcement Learning
Generalized potential games
Analysis of the Efficacy of the Use of Inertial Measurement and Global Positioning System Data to Reverse Engineer Automotive CAN Bus Steering Signals
Kleene, Rogers and Rice Theorems Revisited in C and in Bash
A Communication Protocol for Man-Machine Networks
A Decidable Characterization of a Graphical Pi-calculus with Iterators
Maximizing Asynchronicity in Event-based Neural Networks
Road Surface Friction Prediction Using Long Short-Term Memory Neural Network Based on Historical Data
Energy-Efficient Routing Protocol Based on Multi-Threshold Segmentation in Wireless Sensors Networks for Precision Agriculture
STAR-RIS Enhanced Joint Physical Layer Security and Covert Communications for Multi-antenna mmWave Systems