yusuke1997/dblp-id-title huggingface dataset:
Building A Secure Agentic AI Application Leveraging A2A Protocol
Campaigning through the lens of Google: A large-scale algorithm audit of Google searches in the run-up to the Swiss Federal Elections 2023
Anti-perturbation of Online Social Networks by Graph Label Transition
Coded caching schemes for Flexible Memory Sizes
Embodied intelligent industrial robotics: Concepts and techniques
Adversarial Feature Distribution Alignment for Semi-Supervised Learning
ReviewScore: Misinformed Peer Review Detection with Large Language Models
Asymptotic models for time-domain scattering by small particles of arbitrary shapes
NeKo: Toward Post Recognition Generative Correction Large Language Models with Task-Oriented Experts
Mercury: An Automated Remote Side-channel Attack to Nvidia Deep Learning Accelerator
Distributed Thompson Sampling
FS-Net: Fast Shape-based Network for Category-Level 6D Object Pose Estimation with Decoupled Rotation Mechanism
Majorization-type cluster robust bounds for block filters and eigensolvers
Quality Assessment of the 20m SPOT DEM in Nigeria
Personalized Decentralized Bilevel Optimization over Stochastic and Directed Networks
Domain-Robust Marine Plastic Detection Using Vision Models
LogicCat: A Chain-of-Thought Text-to-SQL Benchmark for Multi-Domain Reasoning Challenges
Cyberbullying and Traditional Bullying in Greece: An Empirical Study
An Application of the Virus Optimization Algorithm to the Problem of Finding Extremal Binary Self-Dual Codes
A Survey on Socially Aware Robot Navigation: Taxonomy and Future Challenges
Corner-based implicit patches
PADetBench: Towards Benchmarking Physical Attacks against Object Detection
Knowledge Integration of Collaborative Product Design Using Cloud Computing Infrastructure
Monadic and Comonadic Aspects of Dependency Analysis
SuperWriter: Reflection-Driven Long-Form Generation with Large Language Models
Slicing Wasserstein Over Wasserstein Via Functional Optimal Transport
MAC Rate Adaptation and Cross Layer Behavior for Vehicular WiFi Access: An Experimental Study
Voice Evaluation of Reasoning Ability: Diagnosing the Modality-Induced Performance Gap
Analysis of the local discontinuous Galerkin method with generalized fluxes for 1D nonlinear convection-diffusion systems
CNN Denoisers as Non-Local Filters: The Neural Tangent Denoiser
SHFL: Secure Hierarchical Federated Learning Framework for Edge Networks
US-net for robust and efficient nuclei instance segmentation
Are Transformers More Robust Than CNNs?
Large Language Models for Software Testing: A Research Roadmap
Fake News: A Survey of Research, Detection Methods, and Opportunities
Wireless Large AI Model: Shaping the AI-Native Future of 6G and Beyond
Trusted Multi-Party Computation and Verifiable Simulations: A Scalable Blockchain Approach
Efficiently Scheduling Parallel DAG Tasks on Identical Multiprocessors
Tangent Space Separability in Feedforward Neural Networks
Interpretable and Robust AI in EEG Systems: A Survey
Meta-Learning Conjugate Priors for Few-Shot Bayesian Optimization
Improving the Accuracy-Robustness Trade-off of Classifiers via Adaptive Smoothing
Multicasting over Overlay Networks A Critical Review
EpidemIQs: Prompt-to-Paper LLM Agents for Epidemic Modeling and Analysis
Evaluating and Adapting Large Language Models to Represent Folktales in Low-Resource Languages
Novel Modulation Techniques using Isomers as Messenger Molecules for Molecular Communication via Diffusion
High Transmission Bit Rate of A thermal Arrayed Waveguide Grating (AWG) Module in Passive Optical Networks
Games of Social Distancing during an Epidemic: Local vs Statistical Information
Distributed Estimation and Control for LTI Systems under Finite-Time Agreement
From Efficiency to Adaptivity: A Deeper Look at Adaptive Reasoning in Large Language Models
Interpreting Multivariate Interactions in DNNs
Local Identifiability of Networks with Nonlinear Node Dynamics
Automating Proofs of Data-Structure Properties in Imperative Programs
Sections of Submonoids of Nilpotent Groups
Market Reaction to News Flows in Supply Chain Networks
Application of Reversible Data Hiding for Printing with Special Color Inks to Preserve Compatibility with Normal Printing
Stand on The Shoulders of Giants: Building JailExpert from Previous Attack Experience
Evaluation of deep lift pose models for 3D rodent pose estimation based on geometrically triangulated data
Unfolded Deep Kernel Estimation for Blind Image Super-resolution
Adaptive Fault Tolerant Execution of Multi-Robot Missions using Behavior Trees
Nonlinear Boundary Conditions for Initial Boundary Value Problems with Applications in Computational Fluid Dynamics
An Efficient Data-Driven Framework for Linear Quadratic Output Feedback Control
Enhancing Robustness of Offline Reinforcement Learning Under Data Corruption via Sharpness-Aware Minimization
How Much Off-The-Shelf Knowledge Is Transferable From Natural Images To Pathology Images?
Optimized Look-Ahead Tree Policies: A Bridge Between Look-Ahead Tree Policies and Direct Policy Search
Federated Learning: Opportunities and Challenges
RAFT: Robust Augmentation of FeaTures for Image Segmentation
Transfer Brain MRI Tumor Segmentation Models Across Modalities with Adversarial Networks
On Approximating Discontinuous Solutions of PDEs by Adaptive Finite Elements
Unlocking Anticipatory Text Generation: A Constrained Approach for Faithful Decoding with Large Language Models
BikeNodePlanner: a data-driven decision support tool for bicycle node network planning
Cognitive Manipulation: Semi-supervised Visual Representation and Classroom-to-real Reinforcement Learning for Assembly in Semi-structured Environments
Applications of human activity recognition in industrial processes - Synergy of human and technology
Learning from Maps: Visual Common Sense for Autonomous Driving
On the Reduction of Broadcast Traffic in Mobile Ad Hoc Networks
Can I Pour into It? Robot Imagining Open Containability Affordance of Previously Unseen Objects via Physical Simulations
SEAM: An Integrated Activation-Coupled Model of Sentence Processing and Eye Movements in Reading
Greedy Sparse Signal Reconstruction Using Matching Pursuit Based on Hope-tree
Detecting and Fixing API Misuses of Data Science Libraries Using Large Language Models
ASC-Net: Unsupervised Medical Anomaly Segmentation Using an Adversarial-based Selective Cutting Network
Robot Vision: Calibration of Wide-Angle Lens Cameras Using Collinearity Condition and K-Nearest Neighbour Regression
Learning to solve geometric construction problems from images
Safe Reasoning Over Ontologies
Intent-Based Network for RAN Management with Large Language Models
WebGuard++:Interpretable Malicious URL Detection via Bidirectional Fusion of HTML Subgraphs and Multi-Scale Convolutional BERT
OpenSD: Unified Open-Vocabulary Segmentation and Detection
Fine-grained Emotion and Intent Learning in Movie Dialogues
Federated Learning in the Presence of Adversarial Client Unavailability
Multi-objective Reinforcement Learning: A Tool for Pluralistic Alignment
Large Language Models Are Innate Crystal Structure Generators
Meta-evaluating stability measures: MAX-Senstivity & AVG-Sensitivity
Adaptive Trajectory Refinement for Optimization-based Local Planning in Narrow Passages
Image warp preserving content intensity
Uncertainty Discounting in Deterministic Black Box Price Predictions for Energy Arbitrage
Unified Characterization Platform for Emerging NVM Technology: Neural Network Application Benchmarking Using off-the-shelf NVM Chips
BPFISH: Blockchain and Privacy-preserving FL Inspired Smart Healthcare
Towards Intuitive HMI for UAV Control
Stability Analysis of GI/G/c/K Retrial Queue with Constant Retrial Rate
Learning from both experts and data
Heeding the Inner Voice: Aligning ControlNet Training via Intermediate Features Feedback
An optimally stable approximation of reactive transport using discrete test and infinite trial spaces
Domain Adaptive Learning Based on Sample-Dependent and Learnable Kernels
Shot-by-Shot: Film-Grammar-Aware Training-Free Audio Description Generation
A Particle Swarm Optimization hyper-heuristic for the Dynamic Vehicle Routing Problem
DATa: Domain Adaptation-Aided Deep Table Detection Using Visual-Lexical Representations
Tourism Question Answer System in Indian Language using Domain-Adapted Foundation Models
Spatially-Enhanced Retrieval-Augmented Generation for Walkability and Urban Discovery
Mask the Redundancy: Evolving Masking Representation Learning for Multivariate Time-Series Clustering
Automated Data Denoising for Recommendation
GOSU: Retrieval-Augmented Generation with Global-Level Optimized Semantic Unit-Centric Framework
Modeling the AC Power Flow Equations with Optimally Compact Neural Networks: Application to Unit Commitment
A Unified 3D Mapping Framework using a 3D or 2D LiDAR
Joint Design of Convolutional Code and CRC under Serial List Viterbi Decoding
Multilingual Audio-Visual Smartphone Dataset And Evaluation
Colouring Probe H -Free Graphs
Artificial Ant Colonies in Digital Image Habitats - A Mass Behaviour Effect Study on Pattern Recognition
Efficient Independent Vector Extraction of Dominant Target Speech
SigVIC: Spatial Importance Guided Variable-Rate Image Compression
Efficient Bi-manipulation using RGBD Multi-model Fusion based on Attention Mechanism
Sparse Representation-Based Classification: Orthogonal Least Squares or Orthogonal Matching Pursuit?
Resilient Ramp Control for Highways Facing Stochastic Perturbations
Open-Vocabulary Multi-Label Classification via Multi-modal Knowledge Transfer
Scalable Spectral Algorithms for Community Detection in Directed Networks
Understanding Epistemic Language with a Bayesian Theory of Mind
Predicting Argumenthood of English Preposition Phrases
Learning about spatial inequalities: Capturing the heterogeneity in the urban environment
Maximum Throughput in Multiple-Antenna Systems
High Dimensional Time Series Generators
OptPO: Optimal Rollout Allocation for Test-time Policy Optimization
Revisiting the Privacy Risks of Split Inference: A GAN-Based Data Reconstruction Attack via Progressive Feature Optimization
Cyberattack Detection in Large-Scale Smart Grids using Chebyshev Graph Convolutional Networks
Graph invariants for unique localizability in cooperative localization of wireless sensor networks: rigidity index and redundancy index
ULIP: Learning Unified Representation of Language, Image and Point Cloud for 3D Understanding
2DXformer: Dual Transformers for Wind Power Forecasting with Dual Exogenous Variables
On Memory Codelets: Prefetching, Recoding, Moving and Streaming Data
Transformer based Automatic COVID-19 Fake News Detection System
MPCitH-based Signatures from Restricted Decoding Problems
Depth-Aware Initialization for Stable and Efficient Neural Network Training
Automated Fidelity Assessment for Strategy Training in Inpatient Rehabilitation using Natural Language Processing
A Roadmap-Path Reshaping Algorithm for Real-Time Motion Planning
Artificial Utopia: Simulation and Intelligent Agents for a Democratised Future
Accurate Bounding-box Regression with Distance-IoU Loss for Visual Tracking
Learning to Program Quantum Measurements for Machine Learning
Self-Reinforced Graph Contrastive Learning
Generalized Gradient Descent is a Hypergraph Functor
Contextual Bandit-Based Channel Selection for Wireless LANs with Interference-Driven Feature Extraction
Convolutional Neural Networks for Breast Cancer Screening: Transfer Learning with Exponential Decay
MoCA: Incorporating Multi-stage Domain Pretraining and Cross-guided Multimodal Attention for Textbook Question Answering
Achieving Predictive Precision: Leveraging LSTM and Pseudo Labeling for Volvo's Discovery Challenge at ECML-PKDD 2024
Towards Scalability and Extensibility of Query Reformulation Modeling in E-commerce Search
IoT-based Remote Control Study of a Robotic Trans-esophageal Ultrasound Probe via LAN and 5G
A discontinuous Galerkin method for a diffuse-interface model of immiscible two-phase flows with soluble surfactant
NLPBK at VLSP-2020 shared task: Compose transformer pretrained models for Reliable Intelligence Identification on Social network
Detect and Correct Bias in Multi-Site Neuroimaging Datasets
Multi-Disease-Aware Training Strategy for Cardiac MR Image Segmentation
From Disagreement to Understanding: The Case for Ambiguity Detection in NLI
Quality-Efficiency Trade-offs in Machine Learning for Text Processing
Decentralized Goal Assignment and Trajectory Generation in Multi-Robot Networks
SDRS: Shape-Differentiable Robot Simulator
Phase Balancing of Two and Three-Agent Heterogeneous Gain Systems With Extensions to Multiple Agents
Topological relations in water quality monitoring
Semi-Partitioned Hard Real-Time Scheduling with Restricted Migrations upon Identical Multiprocessor Platforms
Hierarchy induces Spectrum Coordination in Energy Efficient Multi-carrier Power Control Game
Cyber for AI at SemEval-2025 Task 4: Forgotten but Not Lost: The Balancing Act of Selective Unlearning in Large Language Models
z-SignFedAvg: A Unified Stochastic Sign-based Compression for Federated Learning
Design Exploration of Hybrid CMOS-OxRAM Deep Generative Architectures
Self-Adjusting Prescribed Performance Control for Nonlinear Systems with Input Saturation
The Prompting Brain: Neurocognitive Markers of Expertise in Guiding Large Language Models
Semi-Decision-Focused Learning with Deep Ensembles: A Practical Framework for Robust Portfolio Optimization
Hate Speech Targets Detection in Parler using BERT
Classification of spherical objects based on the form function of acoustic echoes
Mean-Field Transmission Power Control in Dense Networks, Part II - Social Welfare Evaluation
Question-Instructed Visual Descriptions for Zero-Shot Video Question Answering
The Digital Life of Parisian Parks: Multifunctionality and Urban Context Uncovered by Mobile Application Traffic
Structure-measure: A New Way to Evaluate Foreground Maps
On The Presence of Double-Descent in Deep Reinforcement Learning
Faster learning of deep stacked autoencoders on multi-core systems using synchronized layer-wise pre-training
Repetitive Action Counting with Hybrid Temporal Relation Modeling
DeepMartNet - A Martingale Based Deep Neural Network Learning Method for Dirichlet BVP and Eigenvalue Problems of Elliptic PDEs
Enhance Learning Efficiency of Oblique Decision Tree via Feature Concatenation
Using Contour Trees in the Analysis and Visualization of Radio Astronomy Data Cubes
Strategic Evaluation in Optimizing the Internal Supply Chain Using TOPSIS: Evidence In A Coil Winding Machine Manufacturer
Linear Estimation of Treatment Effects in Demand Response: An Experimental Design Approach
Generating Superpixels for High-resolution Images with Decoupled Patch Calibration
Advertising strategy for profit-maximization: a novel practice on Tmall's online ads manager platforms
PyGlove: Efficiently Exchanging ML Ideas as Code
Evolving Zero Cost Proxies For Neural Architecture Scoring
EyeBench: A Call for More Rigorous Evaluation of Retinal Image Enhancement
PDFBench: A Benchmark for De novo Protein Design from Function
Protocol-independent critical node detection
A Note on the Dimensions of the Structural Invariant Subspaces of the Discrete-Time Singular Hamiltonian Systems
More on Numbers and Graphs
Learning Inter-Atomic Potentials without Explicit Equivariance
Diversity and Language Technology: How Techno-Linguistic Bias Can Cause Epistemic Injustice
Markerless Motion Capture and Biomechanical Analysis Pipeline
Solving k-Nearest Vector Problem on Multiple Graphics Processors
LLM with Relation Classifier for Document-Level Relation Extraction
Mouse Simulation Using Two Coloured Tapes
The Information Flow Framework: A Descriptive Category Metatheory
Timed Runtime Monitoring for Multiparty Conversations
Simulations using meshfree methods
Pursuing a Superfast Robber in an Interval Graph
Neural Network Compression using Binarization and Few Full-Precision Weights
Dual-Domain Self-Supervised Learning for Accelerated Non-Cartesian MRI Reconstruction
Short-Term Aggregated Residential Load Forecasting using BiLSTM and CNN-BiLSTM
Learning by stochastic serializations
Error Resilient Collaborative Intelligence via Low-Rank Tensor Completion
Last but not Least: Additional Positional Effects on Citation and Readership in arXiv
Semantic Segmentation of Radar Detections using Convolutions on Point Clouds
Automatic Registration of Images with Inconsistent Content Through Line-Support Region Segmentation and Geometrical Outlier Removal
Incentivizing Information Acquisition
DisenTS: Disentangled Channel Evolving Pattern Modeling for Multivariate Time Series Forecasting
Image Collation: Matching illustrations in manuscripts
Sequence Complementor: Complementing Transformers For Time Series Forecasting with Learnable Sequences
Coarse-to-Fine Embedded PatchMatch and Multi-Scale Dynamic Aggregation for Reference-based Super-Resolution
Visual Dominance and Emerging Multimodal Approaches in Distracted Driving Detection: A Review of Machine Learning Techniques
CAPRI-CT: Causal Analysis and Predictive Reasoning for Image Quality Optimization in Computed Tomography
Disentangling Shared and Private Neural Dynamics with SPIRE: A Latent Modeling Framework for Deep Brain Stimulation
Unraveling Text Generation in LLMs: A Stochastic Differential Equation Approach
Towards a complete 3D morphable model of the human head
Enhancing Large Language Models with Faster Code Preprocessing for Vulnerability Detection
Sampling-based Model Predictive Control Leveraging Parallelizable Physics Simulations
Superposition Coding is Almost Always Optimal for the Poisson Broadcast Channel
OptMap: Geometric Map Distillation via Submodular Maximization
AI Alignment in the Design of Interactive AI: Specification Alignment, Process Alignment, and Evaluation Support
Improving Transformers using Faithful Positional Encoding
On the Hierarchical Community Structure of Practical SAT Formulas
SweepEvGS: Event-Based 3D Gaussian Splatting for Macro and Micro Radiance Field Rendering from a Single Sweep
Learning Pair Potentials using Differentiable Simulations
Learning to Sketch with Deep Q Networks and Demonstrated Strokes
On the Limits to Multi-Modal Popularity Prediction on Instagram - A New Robust, Efficient and Explainable Baseline
Exploring Causal Learning through Graph Neural Networks: An In-depth Review
EAGER: Entropy-Aware GEneRation for Adaptive Inference-Time Scaling
Frequency-domain Blind Quality Assessment of Blurred and Blocking-artefact Images using Gaussian Process Regression model
HPS: A C++11 High Performance Serialization Library
A Unified Subspace Outlier Ensemble Framework for Outlier Detection in High Dimensional Spaces
QQQ: Quality Quattuor-Bit Quantization for Large Language Models
QuantDemoire: Quantization with Outlier Aware for Image Demoiréing
IndicBART: A Pre-trained Model for Natural Language Generation of Indic Languages
Support of Closed Walks and Second Eigenvalue Multiplicity of Regular Graphs
GPT-Sentinel: Distinguishing Human and ChatGPT Generated Content
Compositionality as we see it, everywhere around us
Spatially correlated channel estimation based on block iterative support detection for large-scale MIMO
Active Structure-from-Motion for 3D Straight Lines
Joint Partitioning and Placement of Foundation Models for Real-Time Edge AI
Comparing concepts of quantum and classical neural network models for image classification task
Adaptive simulated annealing (ASA): Lessons learned
Flow4Agent: Long-form Video Understanding via Motion Prior from Optical Flow
LAD-Reasoner: Tiny Multimodal Models are Good Reasoners for Logical Anomaly Detection
Quantifying Unknown Quantum Entanglement via a Hybrid Quantum-Classical Machine Learning Framework
The Johnson-Mercier elasticity element in any dimensions
Virtual Sensing for Real-Time Degradation Monitoring of Nuclear Systems: Leveraging DeepONet for Enhanced Sensing Coverage for Digital Twin-Enabling Technology
Directed factor graph based fault diagnosis model construction for mode switching satellite power system
Insum: Sparse GPU Kernels Simplified and Optimized with Indirect Einsums
Overlapping data in network protocols: bridging OS and NIDS reassembly gap
DiT4SR: Taming Diffusion Transformer for Real-World Image Super-Resolution
On the nonexistence of FO-continuous path and tree-decompositions
Audit Cards: Contextualizing AI Evaluations
Creativity in the era of artificial intelligence
Distributed Gradient Descent with Many Local Steps in Overparameterized Models
A new asymmetric ε-insensitive pinball loss function based support vector quantile regression model
Correct Convergence of Min-Sum Loopy Belief Propagation in a Block Interpolation Problem
Correntropy-Based Logistic Regression with Automatic Relevance Determination for Robust Sparse Brain Activity Decoding
Hacia una teoria de unificacion para los comportamientos cognitivos
Exploring AI-Generated Text in Student Writing: How Does AI Help?
healthAIChain: Improving security and safety using Blockchain Technology applications in AI-based healthcare systems
A Customized Memory-aware Architecture for Biological Sequence Alignment
Unified Instance and Knowledge Alignment Pretraining for Aspect-based Sentiment Analysis
The Correlation among Software Complexity Metrics with Case Study
A Hybrid Approach with Multi-channel I-Vectors and Convolutional Neural Networks for Acoustic Scene Classification
Quality-Diversity Red-Teaming: Automated Generation of High-Quality and Diverse Attackers for Large Language Models
An empirical study of computing with words approaches for multi-person and single-person systems
Compute at Scale: A Broad Investigation into the Data Center Industry
Quantum-Assisted Simulation: A Framework for Designing Machine Learning Models in the Quantum Computing Domain
Efficient solvers for shallow-water Saint-Venant equations and debris transportation-deposition models
Deep Learning Based Early Diagnostics of Parkinsons Disease
FedRDF: A Robust and Dynamic Aggregation Function against Poisoning Attacks in Federated Learning
Agile Earth observation satellite scheduling over 20 years: formulations, methods and future directions
Tight Analysis of a Multiple-Swap Heuristic for Budgeted Red-Blue Median
Safe Machine-Learning-supported Model Predictive Force and Motion Control in Robotics
Path planning with moving obstacles using stochastic optimal control
Mitigating Information Asymmetry in Two-Stage Contracts with Non-Myopic Agents
Robust targeted exploration for systems with non-stochastic disturbances
Joint Distributed Access Point Selection and Power Allocation in Cognitive Radio Networks
Information-Energy Capacity Region for SLIPT Systems over Lognormal Fading Channels: A Theoretical and Learning-Based Analysis
Local Differential Privacy for Distributed Stochastic Aggregative Optimization with Guaranteed Optimality
Sediment Concentration Estimation via Multiscale Inverse Problem and Stochastic Homogenization
Actively Learning to Attract Followers on Twitter
Any-to-One Sequence-to-Sequence Voice Conversion using Self-Supervised Discrete Speech Representations
Evaluation of Geographical Distortions in Language Models: A Crucial Step Towards Equitable Representations
Human participants in AI research: Ethics and transparency in practice
Can Large Language Models Analyze Software Failures in the News? An End-to-End Automated Pipeline with FAIL
Degradation-Modeled Multipath Diffusion for Tunable Metalens Photography
Student's t Distribution based Estimation of Distribution Algorithms for Derivative-free Global Optimization
Value from Observations: Towards Large-Scale Imitation Learning via Self-Improvement
Compositional Video Synthesis by Temporal Object-Centric Learning
On the Reliability of Biometric Datasets: How Much Test Data Ensures Reliability?
A Deep Learning Approach for Joint Video Frame and Reward Prediction in Atari Games
Cross-subject Decoding of Eye Movement Goals from Local Field Potentials
Analyzing Parametric Oscillator Ising Machines through the Kuramoto Lens
ALFred: An Active Learning Framework for Real-world Semi-supervised Anomaly Detection with Adaptive Thresholds
A Faithful Binary Circuit Model with Adversarial Noise
An Open Community-Driven Model For Sustainable Research Software: Sustainable Research Software Institute