yusuke1997/dblp-id-title huggingface dataset:
General form of the Gauss-Seidel equation to linearly approximate the Moore-Penrose pseudoinverse in random non-square systems and high order tensors
xInv: Explainable Optimization of Inverse Problems
TADA: Improved Diffusion Sampling with Training-free Augmented Dynamics
Element-wise Modulation of Random Matrices for Efficient Neural Layers
Avatar Visual Similarity for Social HCI: Increasing Self-Awareness
Spatial and color hallucinations in a mathematical model of primary visual cortex
Pivoting the paradigm: the role of spreadsheets in K-12 data science
Adversarial example generation with AdaBelief Optimizer and Crop Invariance
Uncertainty Quantification of Structural Systems with Subset of Data
KI4Demokratie: An AI-Based Platform for Monitoring and Fostering Democratic Discourse
Performance Evaluation of a Substrate Integrated Waveguide Antenna for Vehicular Networks
Kernel VICReg for Self-Supervised Learning in Reproducing Kernel Hilbert Space
Unsupervised Domain Adaptive Learning via Synthetic Data for Person Re-identification
A Deep Learning Approach to Teeth Segmentation and Orientation from Panoramic X-rays
Domain Generalization Strategy to Train Classifiers Robust to Spatial-Temporal Shift
From Noise to Laws: Regularized Time-Series Forecasting via Denoised Dynamic Graphs
Multigrid methods for the ghost finite element approximation of elliptic problems
Multimodal generative semantic communication based on latent diffusion model
OverFeat: Integrated Recognition, Localization and Detection using Convolutional Networks
RandomBoost: Simplified Multi-class Boosting through Randomization
Completeness via canonicity for distributive substructural logics: a coalgebraic perspective
Improving Model Classification by Optimizing the Training Dataset
Variable Rate Video Compression using a Hybrid Recurrent Convolutional Learning Framework
Internet of Things Networks: Enabling Simultaneous Wireless Information and Power Transfer
A Social Dynamical System for Twitter Analysis
Local Causal Discovery for Statistically Efficient Causal Inference
Analysis of Knowledge Tracing performance on synthesised student data
Synergizing Self-Regulation and Artificial-Intelligence Literacy Towards Future Human-AI Integrative Learning
Over-the-Horizon Radar Network Measurement-Level Fusion Based on Message Passing Approach
RDF-Hunter: Automatically Crowdsourcing the Execution of Queries Against RDF Data Sets
Fast and robust multiplane single molecule localization microscopy using deep neural network
Unlocking Constraints: Source-Free Occlusion-Aware Seamless Segmentation
Capacity of Cooperative Vehicular Networks with Infrastructure Support: Multi-user Case
Circular Programs and Self-Referential Structures
Morphological Change Forecasting for Prostate Glands using Feature-based Registration and Kernel Density Extrapolation
life x - heart module: a high-performance simulator for the cardiac function. Package 1: Fiber generation
Improve few-shot voice cloning using multi-modal learning
Taxonomization of Combinatorial Optimization Problems in Fourier Space
Evaluation and Implementation of Machine Learning Algorithms to Predict Early Detection of Kidney and Heart Disease in Diabetic Patients
"Pass the butter": A study on desktop-classic multitasking robotic arm based on advanced YOLOv7 and BERT
GLAudio Listens to the Sound of the Graph
Placement is not Enough: Embedding with Proactive Stream Mapping on the Heterogenous Edge
Decentralized Unlabeled Multi-Agent Navigation in Continuous Space
Loss of community identity in opinion dynamics models as a function of inter-group interaction strength
Well-typed Islands Parse Faster
StockGPT: A GenAI Model for Stock Prediction and Trading
Robust Load Disturbance Rejection in PWM DC-DC Buck Converters
Implementation of a Wake-up Radio Cross-Layer Protocol in OMNeT++ / MiXiM
OTTR: Off-Road Trajectory Tracking using Reinforcement Learning
Reinforcement Learning in Medical Image Analysis: Concepts, Applications, Challenges, and Future Directions
QF: Quick Feedforward AI Model Training without Gradient Back Propagation
Steerable Transformers
Multi-objective Optimization for Data Collection in UAV-assisted Agricultural IoT
Cross-Lingual Multi-Hop Knowledge Editing - Benchmarks, Analysis and a Simple Contrastive Learning based Approach
Ontology-Free General-Domain Knowledge Graph-to-Text Generation Dataset Synthesis using Large Language Model
Detecting animals in African Savanna with UAVs and the crowds
Group projected Subspace Pursuit for Identification of variable coefficient differential equations (GP-IDENT)
Game Characterizations of Timed Relations for Timed Automata Processes
Counterfactual Analysis of the Impact of the IMF Program on Child Poverty in the Global-South Region using Causal-Graphical Normalizing Flows
TCEval: Using Thermal Comfort to Assess Cognitive and Perceptual Abilities of AI
Efficient Computation of Slepian Functions on the Sphere
Low-Complexity Steered Response Power Mapping based on Nyquist-Shannon Sampling
Clarification of Video Retrieval Query Results by the Automated Insertion of Supporting Shots
Variable-Speed Wind Turbine Control Designed for Coordinated Fast Frequency Reserves
2-nested matrices: towards understanding the structure of circle graphs
StelLA: Subspace Learning in Low-rank Adaptation using Stiefel Manifold
Transformer-based encoder-encoder architecture for Spoken Term Detection
Enhancing LLMs for Impression Generation in Radiology Reports through a Multi-Agent System
Time-dependent Steklov-Poincaré operators and space-time Robin-Robin decomposition for the heat equation
ADP-VRSGP: Decentralized Learning with Adaptive Differential Privacy via Variance-Reduced Stochastic Gradient Push
Lost in Translation? Vocabulary Alignment for Source-Free Adaptation in Open-Vocabulary Semantic Segmentation
Successive Wyner-Ziv Coding for the Binary CEO Problem under Log-Loss
Collision avoidance from monocular vision trained with novel view synthesis
Efficient Full-Stack Private Federated Deep Learning with Post-Quantum Security
Gromov-Wasserstein and optimal transport: from assignment problems to probabilistic numeric
Dual-branch Cross-Patch Attention Learning for Group Affect Recognition
Robust Reflection Removal with Reflection-free Flash-only Cues
Combining Node-RED and Openwhisk for Pattern-based Development and Execution of Complex FaaS Workflows
Protecting the Intellectual Property of Diffusion Models by the Watermark Diffusion Process
A Closed Form Solution to Best Rank-1 Tensor Approximation via KL divergence Minimization
Ferroelectric FET-based Logic-in-Memory Encoder for Hyperdimensional Computing
A Primal Dual Active Set with Continuation Algorithm for the \ell^0-Regularized Optimization Problem
Assessing the Robustness of Intelligence-Driven Reinforcement Learning
Heterogeneous Information Network Embedding for Meta Path based Proximity
New Rates in Stochastic Decision-Theoretic Online Learning under Differential Privacy
Multi-view X-ray R-CNN
Spherical harmonic shape descriptors of nodal force demands for quantifying spatial truss connection complexity
A Connectome Based Hexagonal Lattice Convolutional Network Model of the Drosophila Visual System
Channel State Information Based Localization with Deep Learning
Enhancing object detection robustness: A synthetic and natural perturbation approach
Doubly Contrastive Deep Clustering
JointAVBench: A Benchmark for Joint Audio-Visual Reasoning Evaluation
Retargeting an Abstract Interpreter for a New Language by Partial Evaluation
Theoretical Guarantees for Model Auditing with Finite Adversaries
Post-Training Quantization for 3D Medical Image Segmentation: A Practical Study on Real Inference Engines
DIVAS: An LLM-based End-to-End Framework for SoC Security Analysis and Policy-based Protection
Interoperable Provenance Authentication of Broadcast Media using Open Standards-based Metadata, Watermarking and Cryptography
Progressive Defense Against Adversarial Attacks for Deep Learning as a Service in Internet of Things
Penalty Bidding Mechanisms for Allocating Resources and Overcoming Present Bias
BiCurNet: Pre-Movement EEG based Neural Decoder for Biceps Curl Trajectory Estimation
Synaptic metaplasticity in binarized neural networks
Bertini for Macaulay2
Evaluation of the reliability of building energy performance models for parameter estimation
Pricing for local and global WiFi markets
Diversity and Coding Gain of Multi-Source Multi-Relay Cooperative Wireless Networks with Binary Network Coding
Stress-hybrid virtual element method on quadrilateral meshes for compressible and nearly-incompressible linear elasticity
Intent-guided Heterogeneous Graph Contrastive Learning for Recommendation
Wise Computing: Towards Endowing System Development with True Wisdom
High-order Positivity-preserving L2-stable Spectral Collocation Schemes for the 3-D compressible Navier-Stokes equations
On-the-fly Surrogation for Complex Nonlinear Dynamics
Multinational War is Hard
Evaluating Interval-based Tokenization for Pitch Representation in Symbolic Music Analysis
Input Matters: Evaluating Input Structure's Impact on LLM Summaries of Sports Play-by-Play
Balancing Performance and Reject Inclusion: A Novel Confident Inlier Extrapolation Framework for Credit Scoring
A Self-Assessing Compilation Based Search Approach for Analytical Research and Data Retrieval
Online, Informative MCMC Thinning with Kernelized Stein Discrepancy
Structural & Granger CAUSALITY for IoT Digital Twin
First Price Auction is 1 - 1/e 2 Efficient
Representation Learning in a Decomposed Encoder Design for Bio-inspired Hebbian Learning
Formalising the Optimised Link State Routing Protocol
Self-Supervised Generation of Spatial Audio for 360 Video
Under a cloud of uncertainty: Legal questions affecting Internet storage and transmission of copyright-protected video content
Statistical analysis of NOMAO customer votes for spots of France
ActiveSelfHAR: Incorporating Self Training into Active Learning to Improve Cross-Subject Human Activity Recognition
Directed expected utility networks
Digital Image Data Hiding Techniques: A Comparative Study
Bridging Deliberative Democracy and Deployment of Societal-Scale Technology
Center of Gravity-Guided Focusing Influence Mechanism for Multi-Agent Reinforcement Learning
Wave Interpolation Neural Operator: Interpolated Prediction of Electric Fields Across Untrained Wavelengths
Geometric Stochastic Filter with Guaranteed Performance for Autonomous Navigation based on IMU and Feature Sensor Fusion
MHAFF: Multi-Head Attention Feature Fusion of CNN and Transformer for Cattle Identification
E-commerce warehousing: learning a storage policy
Backdoor Removal for Generative Large Language Models
Prediction of Autism Treatment Response from Baseline fMRI using Random Forests and Tree Bagging
Toward Taming the Overhead Monster for Data-Flow Integrity
Study the function of building blocks in SHA Family
PHI-S: Distribution Balancing for Label-Free Multi-Teacher Distillation
Dual-Path Knowledge-Augmented Contrastive Alignment Network for Spatially Resolved Transcriptomics
Towards Ontological Conversation Interpretation: A Method for Ontology Creation from Medical Guidelines
MAP: End-to-End Autonomous Driving with Map-Assisted Planning
Formalization of Abstract State Transition Systems for SAT
Image to Bengali Caption Generation Using Deep CNN and Bidirectional Gated Recurrent Unit
Visibility graph motifs
White-Box Cartoonization Using An Extended GAN Framework
Marginal Policy Gradients for Complex Control
Asymptotically exact data augmentation: models, properties and algorithms
Multi-Armed Bandits with Self-Information Rewards
ICPC-Eval: Probing the Frontiers of LLM Reasoning with Competitive Programming Contests
Security-Constrained Multi-Objective Optimal Power Flow for a Hybrid AC/VSC-MTDC System with Lasso-based Contingency Filtering
A Collective Learning Framework to Boost GNN Expressiveness
Beamforming Design for IRS-and-UAV-aided Two-way Amplify-and-Forward Relay Networks
DM-MIMO: Diffusion Models for Robust Semantic Communications over MIMO Channels
Measure transfer via stochastic slicing and matching
FedSub: Introducing class-aware Subnetworks Fusion to Enhance Personalized Federated Learning in Ubiquitous Systems
Contextual Unsupervised Outlier Detection in Sequences
SupraTok: Cross-Boundary Tokenization for Enhanced Language Model Performance
On-the-Go Path Planning and Repair in Static and Dynamic Scenarios
Neural Network Approach to Stochastic Dynamics for Smooth Multimodal Density Estimation
Do Neural Networks Generalize from Self-Averaging Sub-classifiers in the Same Way As Adaptive Boosting?
Harnessing the power of LLMs for normative reasoning in MASs
Beyond Benchmarks: The Economics of AI Inference
Electrical Vehicle Charging Station Profit Maximization: Admission, Pricing, and Online Scheduling
Concatenated Forward Error Correction with KP4 and Single Parity Check Codes
Lightweight Container-based User Environment
DART: A Diffusion-Based Autoregressive Motion Model for Real-Time Text-Driven Motion Control
Brain Inspired Object Recognition System
Visualization Was Here: Reorienting Research When Visualizations Fade into the Background
Mulberry: Empowering MLLM with o1-like Reasoning and Reflection via Collective Monte Carlo Tree Search
Emptiness Problems for Distributed Automata
AS400-DET: Detection using Deep Learning Model for IBM i (AS/400)
minicons: Enabling Flexible Behavioral and Representational Analyses of Transformer Language Models
The MCC approaches the geometric mean of precision and recall as true negatives approach infinity
Compressed Subspace Matching on the Continuum
Using a Distributional Semantic Vector Space with a Knowledge Base for Reasoning in Uncertain Conditions
PermLLM: Learnable Channel Permutation for N:M Sparse Large Language Models
A Review of Learning with Deep Generative Models from perspective of graphical modeling
Leveraging Image-based Generative Adversarial Networks for Time Series Generation
SAVE: Sparse Autoencoder-Driven Visual Information Enhancement for Mitigating Object Hallucination
RTF: Region-based Table Filling Method for Relational Triple Extraction
Foresight: Adaptive Layer Reuse for Accelerated and High-Quality Text-to-Video Generation
The Normal Map Based on Area-Preserving Parameterization
Wadge-like degrees of Borel bqo-valued functions
Processes, Roles and Their Interactions
Preconditioned Least-Squares Petrov-Galerkin Reduced Order Models
MIMII DUE: Sound Dataset for Malfunctioning Industrial Machine Investigation and Inspection with Domain Shifts due to Changes in Operational and Environmental Conditions
DCDetector: An IoT terminal vulnerability mining system based on distributed deep ensemble learning under source code representation
Integration of Cobalt Ferromagnetic Control Gates for Electrical and Magnetic Manipulation of Semiconductor Quantum Dots
AI-assisted German Employment Contract Review: A Benchmark Dataset
Downscaling of global solar irradiation in R
Semi-supervised Chinese Poem-to-Painting Generation via Cycle-consistent Adversarial Networks
Sequencing and navigation through learning content
SimProcess: High Fidelity Simulation of Noisy ICS Physical Processes
Binary Non-tiles
Positive Moments Forever: Undecidable and Decidable Cases
Learning Optimal Classification Trees Robust to Distribution Shifts
Multi-UAV Multi-RIS QoS-Aware Aerial Communication Systems using DRL and PSO
Symbolic Regression Driven by Training Data and Prior Knowledge
Novel Kernel Models and Exact Representor Theory for Neural Networks Beyond the Over-Parameterized Regime
Detection techniques of selective forwarding attacks in wireless sensor networks: a survey
Matrix Completion via Nonsmooth Regularization of Fully Connected Neural Networks
Training Optimus Prime, M.D.: Generating Medical Certification Items by Fine-Tuning OpenAI's gpt2 Transformer Model
Unmasking the Unknown: Facial Deepfake Detection in the Open-Set Paradigm
Design and Simulation of Voltage Amplidyne System using Robust Control Technique
An end-user coding-based environment for programming an educational affective robot
Lateral Movement Detection via Time-aware Subgraph Classification on Authentication Logs
An Automatic Clustering Technique for Optimal Clusters
Entropy stable, positive DGSEM with sharp resolution of material interfaces for a $4\times4$ two-phase flow system: a legacy from three-point schemes
Dynamic Manifold Evolution Theory: Modeling and Stability Analysis of Latent Representations in Large Language Models
Semi-supervised 3D Object Detection via Adaptive Pseudo-Labeling
Extending quantum annealing to continuous domains: a hybrid method for quadratic programming
HeartBench: Probing Core Dimensions of Anthropomorphic Intelligence in LLMs
A Survey of Neural Trojan Attacks and Defenses in Deep Learning
The Arbitrarily Varying Multiple-Access Channel with Conferencing Encoders
On information projections between multivariate elliptical and location-scale families
LatentPINNs: Generative physics-informed neural networks via a latent representation learning
Follow Your Path: a Progressive Method for Knowledge Distillation
Moment-Based Exact Uncertainty Propagation Through Nonlinear Stochastic Autonomous Systems
Detection of preventable fetal distress during labor from scanned cardiotocogram tracings using deep learning
Context-Dependent Similarity
Equal Long-term Benefit Rate: Adapting Static Fairness Notions to Sequential Decision Making
Using Experts' Opinions in Machine Learning Tasks
Heterogeneity and aggregation in evolutionary dynamics: a general framework without aggregability
A Simple Finite-Time Analysis of TD Learning with Linear Function Approximation
SHGNN: Structure-Aware Heterogeneous Graph Neural Network
Conversion database of the shapes into XML data for shape matching
Extended Sensitivity-Aware Reactive Power Dispatch Algorithm for Smart Inverters with Multiple Control Modes
Convergence rate of nonlinear delayed McKean-Vlasov SDEs driven by fractional Brownian motions
Educational Effects in Mathematics: Conditional Average Treatment Effect depending on the Number of Treatments
Clustering Gaussian Graphical Models
On the Convergence of CROP-Anderson Acceleration Method
Advances in Differential Privacy and Differentially Private Machine Learning
New Sequence Sets with Zero-Correlation Zone
Gaussian Two-Way Channels With Discrete Inputs and Quantized Outputs
Robust Moment Closure Method for the Chemical Master Equation
Path Planning for the Dynamic UAV-Aided Wireless Systems using Monte Carlo Tree Search
Nested Dithered Quantization for Communication Reduction in Distributed Training
Modelling fatigue crack growth in Shape Memory Alloys
Deep learning to discover and predict dynamics on an inertial manifold
Multi-User Semantic Fusion for Semantic Communications over Degraded Broadcast Channels
Robust Report Level Cluster-to-Track Fusion
Shift R-CNN: Deep Monocular 3D Object Detection with Closed-Form Geometric Constraints
An Operator Splitting View of Federated Learning
SIDE: Semantic ID Embedding for effective learning from sequences
On Asymptotic Statistics for Geometric Routing Schemes in Wireless Ad-Hoc Networks
Towards studying Service Function Chain Migration Patterns in 5G Networks and beyond
Characterizing Video Responses in Social Networks
Adaptive Distribution Masked Autoencoders for Continual Test-Time Adaptation
Blind Sensor Calibration using Approximate Message Passing
Inferring Causality in Agent-Based Simulations - Literature Review
Spread of Influence in Graphs
ASPIRE: Automated Security Policy Implementation Using Reinforcement Learning
MaskedFusion: Mask-based 6D Object Pose Detection
Differentially-private Federated Neural Architecture Search
Sentiment and Hashtag-aware Attentive Deep Neural Network for Multimodal Post Popularity Prediction
Training Neural Networks to Produce Compatible Features
Physics-informed features in supervised machine learning
Computational modelling and data-driven homogenisation of knitted membranes
Distributed Possibilistic Learning in Multi-Agent Systems
Understanding Multi-Step Deep Reinforcement Learning: A Systematic Study of the DQN Target
Planning and Control of Uncertain Cooperative Mobile Manipulator-Endowed Systems under Temporal-Logic Tasks
Edge inducibility via local directed graphs
Topology Optimization of Random Memristors for Input-Aware Dynamic SNN
Semantic Segmentation via Highly Fused Convolutional Network with Multiple Soft Cost Functions
Statistical regularities in the rank-citation profile of scientists
Deep Understanding based Multi-Document Machine Reading Comprehension
Focusing Testing by Using Inspection and Product Metrics
Differentiable Neural Architecture Search via Proximal Iterations
Multicam-SLAM: Non-overlapping Multi-camera SLAM for Indirect Visual Localization and Navigation
X 2 -Gaussian: 4D Radiative Gaussian Splatting for Continuous-time Tomographic Reconstruction
NovelSeek: When Agent Becomes the Scientist - Building Closed-Loop System from Hypothesis to Verification
Sparsest Univariate Learning Models Under Lipschitz Constraint
Where is the Boundary: Multimodal Sensor Fusion Test Bench for Tissue Boundary Delineation
ScamChatBot: An End-to-End Analysis of Fake Account Recovery on Social Media via Chatbots
Newton Methods for Mean Field Games: A Numerical Study
3-Dimensional Adaptive Unstructured Tessellated Look-up Tables for the Approximation of Compton Form Factors
Cloud-Based Big Data Management and Analytics for Scholarly Resources: Current Trends, Challenges and Scope for Future Research
Stochastic Power System Simulation Using the Adomian Decomposition Method
Design Optimization for an Electro-Thermally Actuated Polymeric Microgripper
Tracing and Manipulating Intermediate Values in Neural Math Problem Solvers
A comprehensive review of visualization methods for association rule mining: Taxonomy, Challenges, Open problems and Future ideas
Average reduced model to simulate solutions for heat and mass transfer through porous material
Overfitting in Histopathology Model Training: The Need for Customized Architectures
Large-scale Benchmarking of Metaphor-based Optimization Heuristics
A LiDAR-Guided Framework for Video Enhancement
Between the deterministic and non-deterministic query complexity
GeoGAN: A Conditional GAN with Reconstruction and Style Loss to Generate Standard Layer of Maps from Satellite Images
Step-level Reward for Free in RL-based T2I Diffusion Model Fine-tuning
Partial Product Updates for Agents of Detectable Failure and Logical Obstruction to Task Solvability
Dyson Brownian motion and random matrix dynamics of weight matrices during learning
Linear Convergence of Accelerated Stochastic Gradient Descent for Nonconvex Nonsmooth Optimization
Investigating Mathematical Models of Immuno-Interactions with Early-Stage Cancer under an Agent-Based Modelling Perspective
Representing Hybrid Automata by Action Language Modulo Theories
On the Importance of Feature Representation for Flood Mapping using Classical Machine Learning Approaches
Hybrid Spintronic-CMOS Spiking Neural Network With On-Chip Learning: Devices, Circuits and Systems
PET Synthesis via Self-supervised Adaptive Residual Estimation Generative Adversarial Network
Valid P-Value for Deep Learning-Driven Salient Region
Contingency-Aware Influence Maximization: A Reinforcement Learning Approach
GCP: Guarded Collaborative Perception with Spatial-Temporal Aware Malicious Agent Detection
Cell-o1: Training LLMs to Solve Single-Cell Reasoning Puzzles with Reinforcement Learning
TabGRU: An Enhanced Design for Urban Rainfall Intensity Estimation Using Commercial Microwave Links
Adaptive Domain Generalization via Online Disagreement Minimization
Comparative Analysis of Listwise Reranking with Large Language Models in Limited-Resource Language Contexts
Deliberative and Conceptual Inference in Service Robots
Type homogeneity is not a restriction for safe recursion schemes
Exploring Social Influence for Recommendation - A Probabilistic Generative Model Approach
TREE:Token-Responsive Energy Efficiency Framework For Green AI-Integrated 6G Networks
Game-theoretic Distributed Learning Approach for Heterogeneous-cost Task Allocation with Budget Constraints
Learning Linear Non-Gaussian Graphical Models with Multidirected Edges