yusuke1997/dblp-id-title huggingface dataset:
A generalized projection iterative methods for solving non-singular linear systems
Graph sharing games: complexity and connectivity
Using predefined vector systems as latent space configuration for neural network supervised training on data with arbitrarily large number of classes
Advancing 3D finger knuckle recognition via deep feature learning
Multilevel Monte Carlo methods for positivity-preserving approximations of the Heston 3/2-model
Dropout improves Recurrent Neural Networks for Handwriting Recognition
Finding Syntax in Human Encephalography with Beam Search
ExOAR: Expert-Guided Object and Activity Recognition from Textual Data
Lecture Notes on Spectral Graph Methods
Extremal Results on Conflict-free Coloring
Proceedings of the Third Workshop on Agents and Robots for reliable Engineered Autonomy, AREA@ECAI 2023, Krakow, Poland, 1st October 2023
Revealing the Unseen: Guiding Personalized Diffusion Models to Expose Training Data
ImLiDAR: Cross-Sensor Dynamic Message Propagation Network for 3D Object Detection
Sequential Optimization Numbers and Conjecture about Edge-Symmetry and Weight-Symmetry Shortest Weight-Constrained Path
Flash Communication: Reducing Tensor Parallelization Bottleneck for Fast Large Language Model Inference
μDrive: User-Controlled Autonomous Driving
CAST: Concurrent Recognition and Segmentation with Adaptive Segment Tokens
Enhancing Medical Large Vision-Language Models via Alignment Distillation
Quantitative modeling and simulation of biochemical processes in the human body
A Deep Dive into Generic Object Tracking: A Survey
Diving Performance Assessment by means of Video Processing
Large-Scale Deep Learning Optimizations: A Comprehensive Survey
Rectangular C 1 -P k finite elements with Q k -bubble enrichment
Active Learning for Optimal Intervention Design in Causal Models
Columnar Database Techniques for Creating AI Features
The Effect of Masking Strategies on Knowledge Retention by Language Models
Go Fetch: Mobile Manipulation in Unstructured Environments
The Self-Organization of Speech Sounds
How Can Smart Buildings Be Price-Responsive?
Extracting linguistic speech patterns of Japanese fictional characters using subword units
Logic programs with monotone cardinality atoms
Time Series Representations for Classification Lie Hidden in Pretrained Vision Transformers
Elevating Software Trust: Unveiling and Quantifying the Risk Landscape
HEATGait: Hop-Extracted Adjacency Technique in Graph Convolution based Gait Recognition
Gender Bias in Text-to-Video Generation Models: A case study of Sora
Fundamental Laws of Binary Classification
The Parallelism Motifs of Genomic Data Analysis
Learning from missing data with the Latent Block Model
Grounded Knowledge-Enhanced Medical VLP for Chest X-Ray
Indoor Light and Heat Estimation from a Single Panorama
Restricted Domain Compressive Sensing for Antenna Metrology
Periodicity and local complexity of Delone sets
Understanding and Benchmarking the Trustworthiness in Multimodal LLMs for Video Understanding
Mov-Avg: Codeless time series analysis using moving averages
Differential Carrier Phase Estimation in Optical Fiber Communication Systems Based on One-Tap Normalized Least-Mean-Square Algorithm
Analysis of d-ary Tree Algorithms with Successive Interference Cancellation
Computing with Harmonic Functions
Symbolic Regression with Multimodal Large Language Models and Kolmogorov Arnold Networks
Generalized Thompson Sampling for Sequential Decision-Making and Causal Inference
A New Quantum Secure Time Transfer System
Dynamic Anchor Selection and Real-Time Pose Prediction for Ultra-wideband Tagless Gate
Towards Efficient CoT Distillation: Self-Guided Rationale Selector for Better Performance with Fewer Rationales
Prompt Stability in Code LLMs: Measuring Sensitivity across Emotion- and Personality-Driven Variations
Enabling Tactile Feedback for Robotic Strawberry Handling using AST Skin
Lean Methodology for Garment Modernization
PsybORG+: Modeling and Simulation for Detecting Cognitive Biases in Advanced Persistent Threats
LTC-SUM: Lightweight Client-driven Personalized Video Summarization Framework Using 2D CNN
Hallucinating AI Hijacking Attack: Large Language Models and Malicious Code Recommenders
Global Parameterization-based Texture Space Optimization
ISI-Aware Code Design: A Linear Approach Towards Reliable Molecular Communication
Single-Step Adversarial Training for Semantic Segmentation
Cospanning characterizations of violator and co-violator spaces
Do LLMs exhibit demographic parity in responses to queries about Human Rights?
Efficient Multiple Incremental and Decremental Ridge Support Vector Machines for Big Streams
On the Ancestral Compatibility of Two Phylogenetic Trees with Nested Taxa
A Simple Algorithm for Subgraph Queries in Big Graphs
Towards Understanding and Modeling Empathy for Use in Motivational Design Thinking
Position: Editing Large Language Models Poses Serious Safety Risks
Towards Data-Enabled Physical Activity Planning: An Exploratory Study of HCP Perspectives On The Integration Of Patient-Generated Health Data
Incremental (1-ε)-approximate dynamic matching in O(poly(1/ε)) update time
Reinforcement Communication Learning in Different Social Network Structures
Sensor-Aided Learning for Wi-Fi Positioning with Beacon Channel State Information
Near-Optimal Fault-Tolerant Strong Connectivity Preservers
Twenty Hirsch index variants and other indicators giving more or less preference to highly cited papers
Cloud Transformers
FlowFace: Semantic Flow-guided Shape-aware Face Swapping
Probabilistic Model Checking for Propositional Projection Temporal Logic
Personalized Step Counting Using Wearable Sensors: A Domain Adapted LSTM Network Approach
Unique Solutions of Guarded Recursive Equations
AEANet: Affinity Enhanced Attentional Networks for Arbitrary Style Transfer
JADS: A Framework for Self-supervised Joint Aspect Discovery and Summarization
Behind the Counter: Exploring the Motivations and Barriers of Online Counterspeech Writing
Coherence Traffic in Manycore Processors with Opaque Distributed Directories
Latency and Ordering Effects in Online Decisions
Stability in multidimensional Size Theory
Forging Spatial Intelligence: A Roadmap of Multi-Modal Data Pre-Training for Autonomous Systems
Outdoor Monocular Depth Estimation: A Research Review
Inertial Proximal ADMM for Separable Multi-Block Convex Optimizations and Compressive Affine Phase Retrieval
Spectral Thresholds in Correlated Spiked Models and Fundamental Limits of Partial Least Squares
rx-anon - A Novel Approach on the De-Identification of Heterogeneous Data based on a Modified Mondrian Algorithm
Limitations of a proposed correction for slow drifts in decision criterion
Decentralized Network Topology Design for Task Offloading in Mobile Edge Computing
English Accent Accuracy Analysis in a State-of-the-Art Automatic Speech Recognition System
A Generalized Flow for B2B Sales Predictive Modeling: An Azure Machine Learning Approach
An analysis of optimization problems involving ReLU neural networks
X5G: An Open, Programmable, Multi-vendor, End-to-end, Private 5G O-RAN Testbed with NVIDIA ARC and OpenAirInterface
Open-Vocabulary Camouflaged Object Segmentation with Cascaded Vision Language Models
Surface Denoising based on Normal Filtering in a Robust Statistics Framework
DREAMS: Decentralized Resource Allocation and Service Management across the Compute Continuum Using Service Affinity
Deep Learning on 3D Neural Fields
Causal Transfer Learning
Real-time Curative Actions for Power Systems via Online Feedback Optimization
Classification, Regression and Segmentation directly from k-Space in Cardiac MRI
Dual Graph Attention based Disentanglement Multiple Instance Learning for Brain Age Estimation
High-Dimensional Asymptotics of Differentially Private PCA
Q-Former Autoencoder: A Modern Framework for Medical Anomaly Detection
Three-dimensional topology optimization of auxetic metamaterial using isogeometric analysis and model order reduction
Decentralized MIMO Systems with LMMSE Receivers and Imperfect CSI
BERE: An accurate distantly supervised biomedical entity relation extraction network
Agent-S: LLM Agentic workflow to automate Standard Operating Procedures
Tree-Structured Random Vector Quantization for Limited-Feedback Wireless Channel
x.ent: R Package for Entities and Relations Extraction based on Unsupervised Learning and Document Structure
SparseGPT: Massive Language Models Can Be Accurately Pruned in One-Shot
M2FPA: A Multi-Yaw Multi-Pitch High-Quality Database and Benchmark for Facial Pose Analysis
A network-based citation indicator of scientific performance
Validation Set Evaluation can be Wrong: An Evaluator-Generator Approach for Maximizing Online Performance of Ranking in E-commerce
TF-IDFC-RF: A Novel Supervised Term Weighting Scheme
Towards Greener Solutions for Steering Angle Prediction
Scaling of Search and Learning: A Roadmap to Reproduce o1 from Reinforcement Learning Perspective
MemFlow: Flowing Adaptive Memory for Consistent and Efficient Long Video Narratives
A new perspective on the fictitious space lemma
Double Thompson Sampling in Finite stochastic Games
Fast Domain Adaptation for Neural Machine Translation
Squeezing Lemons with Hammers: An Evaluation of AutoML and Tabular Deep Learning for Data-Scarce Classification Applications
A subgradient splitting algorithm for optimization on nonpositively curved metric spaces
Vanishing of Schubert coefficients in probabilistic polynomial time
Scalable and Communication-efficient Decentralized Federated Edge Learning with Multi-blockchain Framework
Surface Similarity Parameter: A New Machine Learning Loss Metric for Oscillatory Spatio-Temporal Data
Speeding Up Image Classifiers with Little Companions
STRGCN: Capturing Asynchronous Spatio-Temporal Dependencies for Irregular Multivariate Time Series Forecasting
Spatio-Temporal Graphical Model Selection
Defect Detection Network In PCB Circuit Devices Based on GAN Enhanced YOLOv11
Comparison of No-Reference Image Quality Models via MAP Estimation in Diffusion Latents
Dynamic Graph Attention Networks for Travel Time Distribution Prediction in Urban Arterial Roads
Language Model Re-rankers are Steered by Lexical Similarities
DynInt: Dynamic Interaction Modeling for Large-scale Click-Through Rate Prediction
Analysis of Peer Review Effectiveness for Academic Journals Based on Distributed Parallel System
Evaluation of tools for describing, reproducing and reusing scientific workflows
Eco-friendly Power Cost Minimization for Geo-distributed Data Centers Considering Workload Scheduling
Asynchronous Stochastic Approximation Based Learning Algorithms for As-You-Go Deployment of Wireless Relay Networks along a Line
State complexity of catenation combined with a boolean operation: a unified approach
Disentangling the Spatial Structure and Style in Conditional VAE
Distributed Coverage Control of Multi-Agent Networks with Guaranteed Collision Avoidance in Cluttered Environments
Reduced Basis Approximation for Maxwell's Eigenvalue Problem and Parameter-Dependent Domains
Disjoint Shortest Paths with Congestion on DAGs
Mirheo: High-Performance Mesoscale Simulations for Microfluidics
Do Natural Language Descriptions of Model Activations Convey Privileged Information?
Near Optimal Hardness of Approximating k -CSP
On Randomized Distributed Coordinate Descent with Quantized Updates
An Energy Balance Cluster Network Framework Based on SWIPT
A Miniature Vision-Based Localization System for Indoor Blimps
Leveraging local network communities to predict academic performance
A Note on "Optimal Static Load Balancing in Distributed Computer Systems"
Scaling Success: A Systematic Review of Peer Grading Strategies for Accuracy, Efficiency, and Learning in Contemporary Education
Video Spatial Reasoning with Object-Centric 3D Rollout
Kolmogorov Arnold Network Autoencoder in Medicine
Sparse Interacting Gaussian Processes: Efficiency and Optimality Theorems of Autonomous Crowd Navigation
Traversing a n-cube without Balanced Hamiltonian Cycle to Generate Pseudorandom Numbers
Software Cognitive Complexity Measure Based on Scope of Variables
Scalability Bottlenecks in Multi-Agent Reinforcement Learning Systems
Network Optimization for Unified Packet and Circuit Switched Networks
FLASH: Federated Learning-Based LLMs for Advanced Query Processing in Social Networks through RAG
Engineering Digital Systems for Humanity: Challenges and Opportunities
Logically automorphically equivalent knowledge bases
TAACKIT: Track Annotation and Analytics with Continuous Knowledge Integration Tool
Learning for Interval Prediction of Electricity Demand: A Cluster-based Bootstrapping Approach
Election Score Can Be Harder Than Winner
Timealign: A multi-modal object detection method for time misalignment fusing in autonomous driving
Exploiting Uncertainty in Popularity Prediction of Information Diffusion Cascades Using Self-exciting Point Processes
Sampling from exponential distributions in the time domain with superparamagnetic tunnel junctions
Uncertainty estimation for out-of-distribution detection in computational histopathology
A Concise Guide to Elicitation Methodology
JuncNet: A Deep Neural Network for Road Junction Disambiguation for Autonomous Vehicles
PSO and the Traveling Salesman Problem: An Intelligent Optimization Approach
Neural Decoding with Optimization of Node Activations
Integrated Localization and Path Planning for an Ocean Exploring Team of Autonomous Underwater Vehicles with Consensus Graph Model Predictive Control
Convergence Rate Analysis for Fixed-Point Iterations of Generalized Averaged Nonexpansive Operators
Selection of Prompt Engineering Techniques for Code Generation through Predicting Code Complexity
Convergence of stochastic gradient descent schemes for Lojasiewicz-landscapes
Spatio-Temporal Structured Sparse Regression with Hierarchical Gaussian Process Priors
Non-linear Label Ranking for Large-scale Prediction of Long-Term User Interests
A study on the Morris Worm
Beating Harmful Stereotypes Through Facts: RAG-based Counter-speech Generation
Novel hybrid intrusion detection system for clustered wireless sensor network
Integral control of port-Hamiltonian systems: non-passive outputs without coordinate transformation
Cylindrical Shape Decomposition Algorithm for 3D Segmentation
On Order and Rank of Graphs
Lossy Compression of Scientific Data: Applications Constrains and Requirements
Journals as constituents of scientific discourse: economic heterodoxy
Fully Automated Generation of Combinatorial Optimisation Systems Using Large Language Models
On the Adversarial Robustness of Instruction-Tuned Large Language Models for Code
A Stock Price Prediction Approach Based on Time Series Decomposition and Multi-Scale CNN using OHLCT Images
Large Language Models Meet Knowledge Graphs for Question Answering: Synthesis and Opportunities
Dispersion and Diffusion
Efficient Exploration of Chemical Kinetics
α-TCVAE: On the relationship between Disentanglement and Diversity
Chisme: Fully Decentralized Differentiated Deep Learning for Edge Intelligence
Optimizing Multi-UAV Deployment in 3D Space to Minimize Task Completion Time in UAV-Enabled Mobile Edge Computing Systems
Coastline extraction from ALOS-2 satellite SAR images
DeepPool: Distributed Model-free Algorithm for Ride-sharing using Deep Reinforcement Learning
Blockchain Technology to Secure Bluetooth
Cloud Render Farm Services Discovery Using NLP And Ontology Based Knowledge Graph
Monkeypox virus detection using pre-trained deep learning-based approaches
Linear codes with few weights over F p +uF p
Stability analysis of a max-min fair Rate Control Protocol (RCP) in a small buffer regime
Efficient First-order Methods for Convex Optimization with Strongly Convex Function Constraints
Approximating Dominating Set on Intersection Graphs of L-frames
Simultaneous Energy Harvesting and Gait Recognition using Piezoelectric Energy Harvester
"Garbage In, Garbage Out" Revisited: What Do Machine Learning Application Papers Report About Human-Labeled Training Data?
Message Expiration-Based Distributed Multi-Robot Task Management
Model-based Maintenance and Evolution with GenAI: A Look into the Future
Information Theory and Statistical Mechanics Revisited
Rethinking Conventional Wisdom in Machine Learning: From Generalization to Scaling
From PDFs to Structured Data: Utilizing LLM Analysis in Sports Database Management
The Effect of Class Imbalance and Order on Crowdsourced Relevance Judgments
A Deeper Look at Salient Object Detection: Bi-stream Network with a Small Training Dataset
Risk-averse design of tall buildings for uncertain wind conditions
VTS-LLM: Domain-Adaptive LLM Agent for Enhancing Awareness in Vessel Traffic Services through Natural Language
Complete solution of an optimization problem in tropical semifield
Embedding Geometries of Contrastive Language-Image Pre-Training
Modeling the emergence of universality in color naming patterns
Learning Visual Classifiers using Human-centric Annotations
X-Risk Analysis for AI Research
Promoting Efficient Reasoning with Verifiable Stepwise Reward
The operator-splitting method for Cahn-Hilliard is stable
Ranking and Repulsing Supermartingales for Approximating Reachability
auditor: an R Package for Model-Agnostic Visual Validation and Diagnostic
Robust Mean Square Stability of Open Quantum Stochastic Systems with Hamiltonian Perturbations in a Weyl Quantization Form
TreeLearn: A Comprehensive Deep Learning Method for Segmenting Individual Trees from Forest Point Clouds
Fast-convergent two-level restricted additive Schwarz methods based on optimal local approximation spaces
An Effective Strategy for Modeling Score Ordinality and Non-uniform Intervals in Automated Speaking Assessment
MetaLabelNet: Learning to Generate Soft-Labels from Noisy-Labels
Star Network Motifs on X during COVID-19
Linking ghost penalty and aggregated unfitted methods
Learning to Dialogue via Complex Hindsight Experience Replay
Robust Manifold Nonnegative Tucker Factorization for Tensor Data Representation
From Image Denoisers to Regularizing Imaging Inverse Problems: An Overview
Towards Foundation Models for Experimental Readout Systems Combining Discrete and Continuous Data
Analysis of Massive MIMO and Base Station Cooperation in an Indoor Scenario
Students' Acceptance of Arduino Technology Integration in Student-Led Science Inquiry: Insights from the Technology Acceptance Model
Montage: A General System for Buffered Durably Linearizable Data Structures
The Largest Quadrilateral in a Convex Polygon
Strategic Learning with Local Explanations as Feedback
On Ranking Consistency of Pre-ranking Stage
Fast Point Cloud Geometry Compression with Context-based Residual Coding and INR-based Refinement
Synergy Between the Strong and the Weak: Spiking Neural Networks are Inherently Self-Distillers
A Strong Separation for Adversarially Robust ℓ 0 Estimation for Linear Sketches
Adaptive Work-Efficient Connected Components on the GPU
Training Multi-Image Vision Agents via End2End Reinforcement Learning
Solving Math Word Problem via Cooperative Reasoning induced Language Models
Experimentally realized in situ backpropagation for deep learning in nanophotonic neural networks
Predicted and verified evolution of power-law exponent in product market
Preventing Phishing Attacks using One Time Password and User Machine Identification
SubZero: Random Subspace Zeroth-Order Optimization for Memory-Efficient LLM Fine-Tuning
Optimizing Basis Function Selection in Constructive Wavelet Neural Networks and Its Applications
Accelerating Community Detection by Using K-core Subgraphs
PL-VINS: Real-Time Monocular Visual-Inertial SLAM with Point and Line
AI-based Approach for Safety Signals Detection from Social Networks: Application to the Levothyrox Scandal in 2017 on Doctissimo Forum
Minimum Grounded Component Based Voltage-Mode Quadrature Oscillator using DVCC
A Data-Driven Approach to Full-Field Damage and Failure Pattern Prediction in Microstructure-Dependent Composites using Deep Learning
CTC Transcription Alignment of the Bullinger Letters: Automatic Improvement of Annotation Quality
The Maximum Dissipation Principle in Rigid-Body Dynamics with Purely Inelastic Impacts
A tau-conjecture for Newton polygons
Latent Anomaly Detection: Masked VQ-GAN for Unsupervised Segmentation in Medical CBCT
Don't mention it: An approach to assess challenges to using software mentions for citation and discoverability research
Eavesdropping on GSM: state-of-affairs
Smart Data Portfolios: A Quantitative Framework for Input Governance in AI
Quantum Wave Atom Transforms
On the loss of learning capability inside an arrangement of neural networks
Hypothesis on the Functional Advantages of the Selection-Broadcast Cycle Structure: Global Workspace Theory and Dealing with a Real-Time World
Numerical Semigroups and Codes
RedWhale: An Adapted Korean LLM Through Efficient Continual Pretraining
A block-coupled Finite Volume methodology for problems of large strain and large displacement
Distributionally Robust $k$-Nearest Neighbors for Few-Shot Learning
Automated Machine Learning: State-of-The-Art and Open Challenges
A New Framework for Synthetic Aperture Sonar Micronavigation
Adaptive Node Feature Selection For Graph Neural Networks
TauRieL: Targeting Traveling Salesman Problem with a deep reinforcement learning inspired architecture
On the efficient computation of smoothness indicators for a class of WENO reconstructions
High Quality Related Search Query Suggestions using Deep Reinforcement Learning
AnoGAN for Tabular Data: A Novel Approach to Anomaly Detection
Articulated Hand Pose Estimation Review
bypass4netns: Accelerating TCP/IP Communications in Rootless Containers
New bounds for the Moser-Tardos distribution: Beyond the Lovasz Local Lemma
Improving Data-aware and Parameter-aware Robustness for Continual Learning
Propagation of weakly advantageous mutations in cancer cell population
Accelerating PoT Quantization on Edge Devices
Shaped Policy Search for Evolutionary Strategies using Waypoints
Three Factors to Improve Out-of-Distribution Detection
Social contagions on weighted networks
Zero-Shot Fine-Grained Classification by Deep Feature Learning with Semantics
Introducing Hermes: Executing Clinical Quality Language (CQL) at over 66 Million Resources per Second (inexpensively)
RAG-Boost: Retrieval-Augmented Generation Enhanced LLM-based Speech Recognition
Multi tasks RetinaNet for mitosis detection
FALQU: Finding Answers to Legal Questions
Statistical distributions of pyrosequencing
A Large Deviations Result for Aggregation of Independent Noisy Observations
How Do Open Source Software Contributors Perceive and Address Usability? Valued Factors, Practices, and Challenges
The Replica Dataset: A Digital Replica of Indoor Spaces
The rUNSWift SPL Field Segmentation Dataset
Nodal Frequency Performance of Power Networks
Leaderless Byzantine Fault Tolerant Consensus
I2I-Mamba: Multi-modal medical image synthesis via selective state space modeling
Techno-Economic Modelling and Component Sizing in Renewable Energy Communities: A Participant Perspective
Scalable quantum dynamics compilation via quantum machine learning
Bi-Erasing: A Bidirectional Framework for Concept Removal in Diffusion Models
Data Mining in Scientometrics: usage analysis for academic publications
Not All Rollouts are Useful: Down-Sampling Rollouts in LLM Reinforcement Learning
Autonomous drone cinematographer: Using artistic principles to create smooth, safe, occlusion-free trajectories for aerial filming
On a Low-Rate TLDPC Code Ensemble and the Necessary Condition on the Linear Minimum Distance for Sparse-Graph Codes
FSNet: An Identity-Aware Generative Model for Image-based Face Swapping
A maximal concurrency and low latency distributed scheduling protocol for wireless sensor networks
Insight-centric Visualization Recommendation
Cultivating Software Performance in Cloud Computing
Canonical and Compact Point Cloud Representation for Shape Classification
There's No Trick, Its Just a Simple Trick: A Web-Compat and Privacy Improving Approach to Third-party Web Storage
Combinatorial optimization and reasoning with graph neural networks
SUMO: Subspace-Aware Moment-Orthogonalization for Accelerating Memory-Efficient LLM Training
Anomaly Detection in Time Series of EDFA Pump Currents to Monitor Degeneration Processes using Fuzzy Clustering