yusuke1997/dblp-id-title huggingface dataset:
Could Network View Inconsistency Affect Virtualized Network Security Functions?
Layer-wise Weight Selection for Power-Efficient Neural Network Acceleration
High-Fidelity Image Synthesis from Pulmonary Nodule Lesion Maps using Semantic Diffusion Model
On the Expressive Power of First-Order Boolean Functions in PCF
"Turing Tests" For An AI Scientist
Graphon Particle Systems, Part I: Spatio-Temporal Approximation and Law of Large Numbers
A sound spatio-temporal Hoare logic for the verification of structured interactive programs with registers and voices
Unsupervised Person Re-Identification with Wireless Positioning under Weak Scene Labeling
Optimized Excitation Signal Design Employing Receding Horizon Control
A notion of stability for k-means clustering
Weaker Than You Think: A Critical Look atWeakly Supervised Learning
Self-Supervised Depth Estimation in Laparoscopic Image using 3D Geometric Consistency
Relational Similarity Machines
Longitudinal detection of new MS lesions using Deep Learning
Threshold Rates of Codes Ensembles: Linear is Best
Optimized Deep Encoder-Decoder Methods for Crack Segmentation
Evaluation of Deep Reinforcement Learning Methods for Modular Robots
OpenGT: A Comprehensive Benchmark For Graph Transformers
Datasets of Fire and Crime Incidents in Pampanga, Philippines
Blockchains through ontologies: the case study of the Ethereum ERC721 standard in OASIS (Extended Version)
Helmholtz scattering by random domains: first-order sparse boundary elements approximation
Close or connected? Distance and connectivity effects on transport in networks
Hierarchical Planning and Policy Shaping Shared Autonomy for Articulated Robots
Selective KV-Cache Sharing to Mitigate Timing Side-Channels in LLM Inference
Cross-Section Evidence-based Timelines for Software Process Improvement Retrospectives: A Case Study of User eXperience Integration
STAR: Boosting Time Series Foundation Models for Anomaly Detection through State-aware Adapter
A Directed Threshold - Signature Scheme
An Interpretable Operator-Learning Model for Electric Field Profile Reconstruction in Discharges Based on the EFISH Method
RGB-D-based Action Recognition Datasets: A Survey
Hyperbolic Hierarchical Contrastive Hashing
An interpretable clustering approach to safety climate analysis: examining driver group distinction in safety climate perceptions
Distill-2MD-MTL: Data Distillation based on Multi-Dataset Multi-Domain Multi-Task Frame Work to Solve Face Related Tasksks, Multi Task Learning, Semi-Supervised Learning
Adaptive Genetic Algorithms for Pulse-Level Quantum Error Mitigation
Visualising Game Engine Subsystem Coupling
Input-driven automata on well-nested infinite strings: automata-theoretic and topological properties
Optimal bounds for bit-sizes of stationary distributions in finite Markov chains
The Virtual Splitter: Refactoring Web Applications for the Multiscreen Environment
The Linear Complexity of a Class of Binary Sequences With Optimal Autocorrelation
Bounds on Eavesdropper Performance for a MIMO-NOMA Downlink Scheme
Seeing Clearly and Deeply: An RGBD Imaging Approach with a Bio-inspired Monocentric Design
Masked Visual Pre-training for Motor Control
Considerations, Good Practices, Risks and Pitfalls in Developing AI Solutions Against COVID-19
A Heterogeneous 6G Networked Sensing Architecture with Active and Passive Anchors
Partition-Balanced Families of Codes and Asymptotic Enumeration in Coding Theory
Communication-Efficient and Decentralized Multi-Task Boosting while Learning the Collaboration Graph
Advanced Underwater Image Quality Enhancement via Hybrid Super-Resolution Convolutional Neural Networks and Multi-Scale Retinex-Based Defogging Techniques
Accurate machine learning force fields via experimental and simulation data fusion
Finite-sample guarantees for data-driven forward-backward operator methods
Joint Waveform and Passive Beamformer Design in Multi-IRS Aided Radar
A Data Efficient End-To-End Spoken Language Understanding Architecture
Text as Environment: A Deep Reinforcement Learning Text Readability Assessment Model
Challenges for Security Assessment of Enterprises in the IoT Era
Higher-Order Temporal Network Prediction and Interpretation
Visibility-Uncertainty-guided 3D Gaussian Inpainting via Scene Conceptional Learning
Random Copolymer inverse design system orienting on Accurate discovering of Antimicrobial peptide-mimetic copolymers
Practical Posterior Error Bounds from Variational Objectives
Quantum Financial Modeling on NISQ Hardware: Random Walks using Approximate Quantum Counting
The Common Prefix Problem On Trees
CrossMatch: Enhance Semi-Supervised Medical Image Segmentation with Perturbation Strategies and Knowledge Distillation
Hydra-MDP: End-to-end Multimodal Planning with Multi-target Hydra-Distillation
Choice of Interior Penalty Coefficient for Interior Penalty Discontinuous Galerkin Method for Biot's System by Employing Machine Learning
Halftone Image Watermarking by Content Aware Double-sided Embedding Error Diffusion
Resource Allocation for Secure IRS-assisted Multiuser MISO Systems
Pre-Construction of Opinion Dynamics Considering Structural Inequality: Interdisciplinary Analysis of Complex Social Stratification, Media Influence, and Functionalism
Collaborative Adversarial Learning for RelationalLearning on Multiple Bipartite Graphs
An evaluation of Flickrs distributed classification system, from the perspective of its members, and as an image retrieval tool in comparison with a controlled vocabulary
Leveraging Exogenous Signals for Hydrology Time Series Forecasting
The Atari Data Scraper
Memorization in NLP Fine-tuning Methods
Advantage of Quantum Machine Learning from General Computational Advantages
Robustness of 'small' networks
From Superpixel to Human Shape Modelling for Carried Object Detection
Entropy production and thermodynamics of information under protocol constraints
Approximate Capacity of Index Coding for Some Classes of Graphs
Inverse Reinforcement Learning with Conditional Choice Probabilities
ContextFlow++: Generalist-Specialist Flow-based Generative Models with Mixed-Variable Context Encoding
Online End-to-End Neural Diarization Handling Overlapping Speech and Flexible Numbers of Speakers
Adaptive Transformer Modelling of Density Function for Nonparametric Survival Analysis
Spoken question answering for visual queries
SONG: Self-Organizing Neural Graphs
AI Drawing Partner: Co-Creative Drawing Agent and Research Platform to Model Co-Creation
Finding a Feasible Initial Solution for Flatness-Based Multi-Link Manipulator Motion Planning under State and Control Constraints
Offline Policy Evaluation and Optimization under Confounding
Privacy-preserving transactive energy systems: Key topics and open research challenges
FBI-LLM: Scaling Up Fully Binarized LLMs from Scratch via Autoregressive Distillation
Big Data Challenges in Genome Informatics
Emotion pattern detection on facial videos using functional statistics
Performance evaluation of a foot-controlled human-robot interface
Multi-Branch Matching Pursuit with applications to MIMO radar
Observability, Covariance and Uncertainty of ICP Scan Matching
A predictive learning model can simulate temporal dynamics and context effects found in neural representations of continuous speech
Sigmoid functions and multiscale resolution of singularities
DeepTree: Modeling Trees with Situated Latents
DeepBayes - an estimator for parameter estimation in stochastic nonlinear dynamical models
Battling Misinformation: An Empirical Study on Adversarial Factuality in Open-Source Large Language Models
Towards Microservices and Beyond: An incoming Paradigm Shift in Distributed Computing
A Machine Learning-based Anomaly Detection Framework in Life Insurance Contracts
ARIS: An open source platform for developing mobile learning experiences
Supervisory Coordination of Robotic Fiber Positioners in Multi-Object Spectrographs
CLIP3Dstyler: Language Guided 3D Arbitrary Neural Style Transfer
Differentiable and accelerated wavelet transforms on the sphere and ball
Quantifying Preferences of Vision-Language Models via Value Decomposition in Social Media Contexts
Evaluating Adversarial Vulnerabilities in Modern Large Language Models
MXtalTools: A Toolkit for Machine Learning on Molecular Crystals
Persistence paths and signature features in topological data analysis
Basic Inequalities for First-Order Optimization with Applications to Statistical Risk Analysis
A Fixed-Parameter Tractable Algorithm for Counting Markov Equivalence Classes with the same Skeleton
IFedRec: Item-Guided Federated Aggregation for Cold-Start
An Elastic Image Registration Approach for Wireless Capsule Endoscope Localization
JAMMIN-GPT: Text-based Improvisation using LLMs in Ableton Live
Arbitrary high-order linear structure-preserving schemes for the regularized long-wave equation
Hierarchical Transformer Model for Scientific Named Entity Recognition
A review of ontologies for smart and continuous commissioning
Spiking Patches: Asynchronous, Sparse, and Efficient Tokens for Event Cameras
Facets, Tiers and Gems: Ontology Patterns for Hypernormalisation
Ear Recognition: More Than a Survey
Verbalized Probabilistic Graphical Modeling with Large Language Models
JEPA4Rec: Learning Effective Language Representations for Sequential Recommendation via Joint Embedding Predictive Architecture
Understanding the Role of Adversarial Regularization in Supervised Learning
SVGFusion: Scalable Text-to-SVG Generation via Vector Space Diffusion
Efficient Detection Of Infected Individuals using Two Stage Testing
Spectrum Sharing in Cooperative Cognitive Radio Networks: A Matching Game Framework
A brain-inspired generative model for EEG-based cognitive state identification
Labels Are Not Perfect: Improving Probabilistic Object Detection via Label Uncertainty
Linear-Time Superbubble Identification Algorithm
Visually Guided Model Predictive Robot Control via 6D Object Pose Localization and Tracking
Refining asymptotic complexity bounds for nonconvex optimization methods, including why steepest descent is o(ε -2 ) rather than 𝒪(ε -2 )
Bridging the Communication Gap: Artificial Agents Learning Sign Language through Imitation
Comments on Friedman's Method for Class Distribution Estimation
Building cross-language corpora for human understanding of privacy policies
Exploring text datasets by visualizing relevant words
The Binary and Ternary Quantization Can Improve Feature Discrimination
PoseDiff: A Unified Diffusion Model Bridging Robot Pose Estimation and Video-to-Action Control
EgoNormia: Benchmarking Physical Social Norm Understanding
Improving the Convergence Rate of Ray Search Optimization for Query-Efficient Hard-Label Attacks
Tackling Data Heterogeneity in Federated Time Series Forecasting
On the Generalisation Capabilities of Fisher Vector based Face Presentation Attack Detection
Satellite Edge Artificial Intelligence with Large Models: Architectures and Technologies
IsaMini: Redesigned Isabelle Proof Lanugage for Machine Learning
Soft Quantization using Entropic Regularization
On the relation between Differential Privacy and Quantitative Information Flow
CRUPL: A Semi-Supervised Cyber Attack Detection with Consistency Regularization and Uncertainty-aware Pseudo-Labeling in Smart Grid
Routing Security Issues in Wireless Sensor Networks: Attacks and Defenses
Convergence of the Non-Uniform Directed Physarum Model
Joint Task Offloading and Resource Allocation for IoT Edge Computing with Sequential Task Dependency
Convex-Arc Drawings of Pseudolines
Saccade Mechanisms for Image Classification, Object Detection and Tracking
Challenges and Opportunities in Exoskeleton-based Rehabilitation
Regularization And Normalization For Generative Adversarial Networks: A Review
Monotone Peridynamic Neural Operator for Nonlinear Material Modeling with Conditionally Unique Solutions
Implementation for blow up of tornado-type solutions for complex version of 3D Navier-Stokes system
CycleSense: Detecting Near Miss Incidents in Bicycle Traffic from Mobile Motion Sensors
Understanding Bias in Machine Learning
Task-Agnostic Experts Composition for Continual Learning
Sampling, Intervention, Prediction, Aggregation: A Generalized Framework for Model Agnostic Interpretations
Content and Style Aware Generation of Text-line Images for Handwriting Recognition
Support Vector Machine Classifier with Rescaled Huberized Pinball Loss
Optimizing the Design of an Artificial Pancreas to Improve Diabetes Management
Polynomial Convergence of Gradient Descent for Training One-Hidden-Layer Neural Networks
Disentangling Speech and Non-Speech Components for Building Robust Acoustic Models from Found Data
Competitive Machine Learning: Best Theoretical Prediction vs Optimization
Hierarchical Frequency and Voltage Control using Prioritized Utilization of Inverter Based Resources
DECEPTICON: How Dark Patterns Manipulate Web Agents
On a Feedback Control-based Mechanism of Bidding for Cloud Spot Service
Novel Methods for Activity Classification and Occupany Prediction Enabling Fine-grained HVAC Control
Position Paper: Rethinking AI/ML for Air Interface in Wireless Networks
Proceedings of the 13th International Workshop on Programming Language Approaches to Concurrency and Communication-cEntric Software, PLACES@ETAPS 2022, Munich, Germany, 3rd April 2022
PSyDUCK: Training-Free Steganography for Latent Diffusion
Cloudless-Training: A Framework to Improve Efficiency of Geo-Distributed ML Training
SasAgent: Multi-Agent AI System for Small-Angle Scattering Data Analysis
Exposed Buffer Architecture for Programmable and Stateful Networking
HeySQuAD: A Spoken Question Answering Dataset
Index Modulated Affine Frequency Division Multiplexing With Spread Spectrum
Modern Question Answering Datasets and Benchmarks: A Survey
Extending the step-size restriction for gradient descent to avoid strict saddle points
EEG Synthetic Data Generation Using Probabilistic Diffusion Models
MPN: Leveraging Multilingual Patch Neuron for Cross-lingual Model Editing
DLO: Dynamic Layer Operation for Efficient Vertical Scaling of LLMs
Speaking Style Conversion With Discrete Self-Supervised Units
XProspeCT: CT Volume Generation from Paired X-Rays
R 2 : A LLM Based Novel-to-Screenplay Generation Framework with Causal Plot Graphs
Logistic-Regression with peer-group effects via inference in higher order Ising models
Efficient numerical approximations for a non-conservative Nonlinear Schrodinger equation appearing in wind-forced ocean waves
Ask a Local: Detecting Hallucinations With Specialized Model Divergence
A Stochastic Geometry Based Approach to Modeling Interference Correlation in Cooperative Relay Networks
Unsupervised Video Domain Adaptation: A Disentanglement Perspective
NeCTAr: A Heterogeneous RISC-V SoC for Language Model Inference in Intel 16
Soft-Masked Diffusion Language Models
Forging and Removing Latent-Noise Diffusion Watermarks Using a Single Image
CLIP-UP: A Simple and Efficient Mixture-of-Experts CLIP Training Recipe with Sparse Upcycling
Are Virtual DES Images a Valid Alternative to the Real Ones?
Energy Landscape Shaping for Robust Control of Atoms in Optical Lattices
Large Language Model-Guided Prediction Toward Quantum Materials Synthesis
A Modified Walk-on-sphere Method for High Dimensional Fractional Poisson Equation
Class-Adaptive Sampling Policy for Efficient Continual Learning
ConformalSAM: Unlocking the Potential of Foundational Segmentation Models in Semi-Supervised Semantic Segmentation with Conformal Prediction
Beyond Overconfidence: Foundation Models Redefine Calibration in Deep Neural Networks
CGKN: A Deep Learning Framework for Modeling Complex Dynamical Systems and Efficient Data Assimilation
Recent Advances in Path Integral Control for Trajectory Optimization: An Overview in Theoretical and Algorithmic Perspectives
Sectoral and spatial decomposition methods for multi-sector capacity expansion models
GlORIE-SLAM: Globally Optimized RGB-only Implicit Encoding Point Cloud SLAM
Unsupervised Prostate Cancer Detection on H&E using Convolutional Adversarial Autoencoders
A Real-time Degeneracy Sensing and Compensation Method for Enhanced LiDAR SLAM
Frequency offset tolerant synchronization signal design in NB-IoT
Who Needs Trust for 5G?
Gelfand spectra in Grothendieck toposes using geometric mathematics
Design Optimization and Global Impact Assessment of Solar-Thermal Direct Air Carbon Capture
Fair Classification under Covariate Shift and Missing Protected Attribute - an Investigation using Related Features
A Survey on Common Threats in npm and PyPi Registries
SynthBio: A Case Study in Human-AI Collaborative Curation of Text Datasets
Topic Analysis for Text with Side Data
A new muscle fatigue and recovery model and its ergonomics application in human simulation
Improved Exploring Starts by Kernel Density Estimation-Based State-Space Coverage Acceleration in Reinforcement Learning
Using Google Analytics to Support Cybersecurity Forensics
APAR: LLMs Can Do Auto-Parallel Auto-Regressive Decoding
Multidimensional Analytic Signals and the Bedrosian Identity
Sublinear Longest Path Transversals and Gallai Families
Financial Risk and Returns Prediction with Modular Networked Learning
Turn Every Application into an Agent: Towards Efficient Human-Agent-Computer Interaction with API-First LLM-Based Agents
Randomized Forward Mode of Automatic Differentiation for Optimization Algorithms
End-Host Distribution in Application-Layer Multicast: Main Issues and Solutions
Opportunistic Beamforming using Dumb Basis Patterns in Multiple Access Cognitive Channels
EllipBody: A Light-weight and Part-based Representation for Human Pose and Shape Recovery
Semi-Variance Reduction for Fair Federated Learning
Exploring the efficacy of neural networks for trajectory compression and the inverse problem
Non-invertible Anonymous Communication for the Quantum Era
Determining the Unithood of Word Sequences using Mutual Information and Independence Measure
Point-Plane Projections for Accurate LiDAR Semantic Segmentation in Small Data Scenarios
Hierarchical Graph Neural Networks for Causal Discovery and Root Cause Localization
ARIANN: Low-Interaction Privacy-Preserving Deep Learning via Function Secret Sharing
Weisfeiler and Leman Follow the Arrow of Time: Expressive Power of Message Passing in Temporal Event Graphs
Analogical Inference for Multi-Relational Embeddings
Alarm-Based Root Cause Analysis in Industrial Processes Using Deep Learning
The Age of Incorrect Information: an Enabler of Semantics-Empowered Communication
Games of Artificial Intelligence: A Continuous-Time Approach
A Tale of LLMs and Induced Small Proxies: Scalable Agents for Knowledge Mining
Multi-episodic Perceived Quality of an Audio-on-Demand Service
Security analysis of a blockchain-based protocol for the certification of academic credentials
Industry 4.0 Asset Administration Shell (AAS): Interoperable Skill-Based Service-Robots
Optimal Cell Towers Distribution by using Spatial Mining and Geographic Information System
Emergent Bartering Behaviour in Multi-Agent Reinforcement Learning
Adaptive finite element method for an unregularized semilinear optimal control problem
Divide and Conquer with Neural Networks
Adversarial Heart Attack: Neural Networks Fooled to Segment Heart Symbols in Chest X-Ray Images
Ageing Drift in Binary Face Templates: A Bits-per-Decade Analysis
Characterizing multiple instance datasets
Time-sensitive Customer Churn Prediction based on PU Learning
Physics-Driven Learning for Inverse Problems in Quantum Chromodynamics
Cognitive-mapping and contextual pyramid based Digital Elevation Model Registration and its effective storage using fractal based compression
Random Fourier Features for Operator-Valued Kernels
Statistics for stochastic differential equations and local approximation of Crank-Nicolson method
A Comparative Analysis of Text-to-Image Generative AI Models in Scientific Contexts: A Case Study on Nuclear Power
Improving Lower Bounds for the Quadratic Assignment Problem by applying a Distributed Dual Ascent Algorithm
LED2-Net: Monocular 360 Layout Estimation via Differentiable Depth Rendering
ZING-3D: Zero-shot Incremental 3D Scene Graphs via Vision-Language Models
Stochastic Invariants for Probabilistic Termination
An Evaluation of Support Vector Machines as a Pattern Recognition Tool
A Decomposition-Based Approach to Reasoning about Free Space Path-Connectivity for Rigid Objects in 2D
uMedSum: A Unified Framework for Advancing Medical Abstractive Summarization
Tree Rewriting Calculi for Strictly Positive Logics
EllipsoNet: Deep-learning-enabled optical ellipsometry for complex thin films
Hardware-Aware DNN Compression for Homogeneous Edge Devices
A Deep Reinforcement Learning Approach for Global Routing
Skew polynomial representations of matrix algebras and applications to coding theory
Modeling Complex Interactions in a Disrupted Environment: Relational Events in the WTC Response
GmSLM : Generative Marmoset Spoken Language Modeling
Gaussian Splatting is an Effective Data Generator for 3D Object Detection
Thwarting Adversarial Examples: An L 0 -RobustSparse Fourier Transform
Views: A Hardware-friendly Graph Database Model For Storing Semantic Information
A Data Mining Approach to Solve the Goal Scoring Problem
WEST: LLM based Speech Toolkit for Speech Understanding, Generation, and Interaction
Evaluating the Evolution of YOLO (You Only Look Once) Models: A Comprehensive Benchmark Study of YOLO11 and Its Predecessors
Learning Library Cell Representations in Vector Space
Leveraging Language Semantics for Collaborative Filtering with TextGCN and TextGCN-MLP: Zero-Shot vs In-Domain Performance
SystolicAttention: Fusing FlashAttention within a Single Systolic Array
Bias-variance Tradeoff in Tensor Estimation
SAFL: Structure-Aware Personalized Federated Learning via Client-Specific Clustering and SCSI-Guided Model Pruning
AI-based BMI Inference from Facial Images: An Application to Weight Monitoring
Coupled Support Tensor Machine Classification for Multimodal Neuroimaging Data
Revisiting Flow Information for Traffic Prediction
Fast Inference of Visual Autoregressive Model with Adjacency-Adaptive Dynamical Draft Trees
Understanding Scaling Laws in Deep Neural Networks via Feature Learning Dynamics
ConcreteGraph: A Data Augmentation Method Leveraging the Properties of Concept Relatedness Estimation
MOLE: Digging Tunnels Through Multimodal Multi-Objective Landscapes
Alexandria: A Library of Pluralistic Values for Realtime Re-Ranking of Social Media Feeds
PIXEL: Interactive Light System Design Based On Simple Gesture Recognition
Evidentially Calibrated Source-Free Time-Series Domain Adaptation with Temporal Imputation
UAV-Enabled Radio Access Network: Multi-Mode Communication and Trajectory Design
Correlation-Aware Dual-View Pose and Velocity Estimation for Dynamic Robotic Manipulation
Toward Sufficient Spatial-Frequency Interaction for Gradient-aware Underwater Image Enhancement
A Variance-Based Analysis of Sample Complexity for Grid Coverage
Improving hp-Variational Physics-Informed Neural Networks for Steady-State Convection-Dominated Problems
Visualization of Deep Transfer Learning In SAR Imagery
Data-driven synthesis of Robust Invariant Sets and Controllers
Causal Analysis of Agent Behavior for AI Safety
Gated Compression Layers for Efficient Always-On Models
Harmonic and Timbre Analysis of Tabla Strokes
Quantum Artificial Intelligence for the Science of Climate Change
Wildfire Detection Using Vision Transformer with the Wildfire Dataset
Faster one block quantifier elimination for regular polynomial systems of equations
Comprehensive Analysis of Time Series Forecasting Using Neural Networks
Sparse Elasticity Reconstruction and Clustering using Local Displacement Fields
Amendable Generation for Dialogue State Tracking
Machine learning for prediction of dose-volume histograms of organs-at-risk in prostate cancer from simple structure volume parameters
Training all-mechanical neural networks for task learning through in situ backpropagation
Management of Grid Jobs and Information within SAMGrid
Unsupervised Continual Semantic Adaptation through Neural Rendering
Fast-MIA: Efficient and Scalable Membership Inference for LLMs
Stochastic Games with Minimally Bounded Action Costs
LLM Agents for Bargaining with Utility-based Feedback
Extraction of Temporal Networks from Term Co-occurrences in Online Textual Sources