yusuke1997/dblp-id-title huggingface dataset:
Overlapping clustering based on kernel similarity metric
Towards Implementing ML-Based Failure Detectors
Mathematical certification of motion planning on uncertain terrain with limited perception: a case study
Super Event Driven System OOP GUI Design
Joint Distributions for TensorFlow Probability
Information Security Games: A Survey
Performance Analysis of a Mass-Spring-Damper Deformable Linear Object Model in Robotic Simulation Frameworks
Ethylene Leak Detection Based on Infrared Imaging: A Benchmark
Caviar: An E-graph Based TRS for Automatic Code Optimization
Imitation Learning as Return Distribution Matching
Generative Adversarial Phonology: Modeling unsupervised phonetic and phonological learning with neural networks
Descriptellation: Deep Learned Constellation Descriptors for SLAM
OptScaler: A Hybrid Proactive-Reactive Framework for Robust Autoscaling in the Cloud
Iterative Policy-Space Expansion in Reinforcement Learning
Joint shape learning and segmentation for medical images using a minimalistic deep network
SDN-like: The Next Generation of Pub/Sub
Adaptive and Iteratively Improving Recurrent Lateral Connections
Reliable and Efficient Evaluation of Adversarial Robustness for Deep Hashing-Based Retrieval
Local Permutation Equivariance For Graph Neural Networks
Second Life as a Platform for Physics Simulations and Microworlds: An Evaluation
Collaboration in Immersive Environments: Challenges and Solutions
Curvilinear Mesh Adaptation using Radial Basis Function Interpolation and Smoothing
Future of work: ethics
Mitigating Multimodal Hallucinations via Gradient-based Self-Reflection
Spatioformer: A Geo-encoded Transformer for Large-Scale Plant Species Richness Prediction
Improved asynchronous parallel optimization analysis for stochastic incremental methods
Enhancing Contrastive Demonstration Selection with Semantic Diversity for Robust In-Context Machine Translation
A data-driven approach to linking design features with manufacturing process data for sustainable product development
Bottleneck Supervised U-Net for Pixel-wise Liver and Tumor Segmentation
Analyzing Different Expert-Opined Strategies to Enhance the Effect on the Goal of a Multi-Attribute Decision-Making System Using a Concept of Effort Propagation and Application in Enhancement of High School Students' Performance
Sky of Unlearning (SoUL): Rewiring Federated Machine Unlearning via Selective Pruning
Ontology-Aware RAG for Improved Question-Answering in Cybersecurity Education
CN-SBM: Categorical Block Modelling For Primary and Residual Copy Number Variation
Metacognitive Monitoring: A Human Ability Beyond Generative Artificial Intelligence
End-to-End Learning of Visual Representations from Uncurated Instructional Videos
Knowledge Unlearning for LLMs: Tasks, Methods, and Challenges
Ensemble of Convolutional Neural Networks for Automatic Grading of Diabetic Retinopathy and Macular Edema
Visualization of Constraint Handling Rules
Designing Adaptive Algorithms Based on Reinforcement Learning for Dynamic Optimization of Sliding Window Size in Multi-Dimensional Data Streams
Efficient Prediction of Pass@k Scaling in Large Language Models
Definite Non-Ancestral Relations and Structure Learning
Joint Trading and Scheduling among Coupled Carbon-Electricity-Heat-Gas Industrial Clusters
Communicating over Filter-and-Forward Relay Networks with Channel Output Feedback
TakeLab Retriever: AI-Driven Search Engine for Articles from Croatian News Outlets
Aligning Knowledge Graphs and Language Models for Factual Accuracy
FairBranch: Fairness Conflict Correction on Task-group Branches for Fair Multi-Task Learning
GraphRAG-Causal: A novel graph-augmented framework for causal reasoning and annotation in news
Reducing the Amount of Real World Data for Object Detector Training with Synthetic Data
A Time Attention based Fraud Transaction Detection Framework
A Data-Driven Approach to Smooth Pitch Correction for Singing Voice in Pop Music
High-quality Panorama Stitching based on Asymmetric Bidirectional Optical Flow
Generalized Multi-view Shared Subspace Learning using View Bootstrapping
On expectations and variances in the hard-core model on bounded degree graphs
Exponential Quantum Advantage for Message Complexity in Distributed Algorithms
Bridging the Gap between Reactivity, Contraction and Finite-Time Lyapunov Exponents
Adjoint-based A Posteriori Error Analysis for Semi-explicit Index-1 and Hessenberg Index-2 Differential-Algebraic Equations
Towards a Neural Network Approach to Abstractive Multi-Document Summarization
Inference of termination conditions for numerical loops
Degenerate Resistive Switching and Ultrahigh Density Storage in Resistive Memory
Data Enrichment Work and AI Labor in Latin America and the Caribbean
Avoiding subtraction and division of stochastic signals using normalizing flows: NFdeconvolve
Modeling Analog Dynamic Range Compressors using Deep Learning and State-space Models
Augmenting recommendation systems using a model of semantically-related terms extracted from user behavior
Maximum Distance Sub-Lattice Problem
Isomorphism Revisited
Fine-grained Search Space Classification for Hard Enumeration Variants of Subset Problems
New Insights into Global Warming: End-to-End Visual Analysis and Prediction of Temperature Variations
Continuous sign language recognition based on cross-resolution knowledge distillation
Efficient Choice, Inefficient Democracy? The Implications of Cable and Internet Access for Political Knowledge and Voter Turnout
RobQFL: Robust Quantum Federated Learning in Adversarial Environment
Bayesian Inference with Nonlinear Generative Models: Comments on Secure Learning
MSMA: Multi-Scale Feature Fusion For Multi-Attribute 3D Face Reconstruction From Unconstrained Images
Multi-Scale and Multi-Layer Contrastive Learning for Domain Generalization
STAGE: Simplified Text-Attributed Graph Embeddings Using Pre-trained LLMs
Neuro-Symbolic Acceleration of MILP Motion Planning with Temporal Logic and Chance Constraints
Estimating an Activity Driven Hidden Markov Model
Generative Modeling for Low Dimensional Speech Attributes with Neural Spline Flows
On the Duality between Network Flows and Network Lasso
Source Camera Identification and Detection in Digital Videos through Blind Forensics
A scalable Lagrange-Remap scheme for compressible multimaterial Euler equations with sharp interface reconstruction
An Executable Specification of Oncology Dose-Escalation Protocols with Prolog
A Machine-learning framework for automatic reference-free quality assessment in MRI
Efficient Matroid Bandit Linear Optimization Leveraging Unimodality
Active Learning for Product Type Ontology Enhancement in E-commerce
The Nature of Mathematical Modeling and Probabilistic Optimization Engineering in Generative AI
An Analysis Framework for Hardware and Software Implementations with Applications from Cryptography
Meta Dialogue Policy Learning
Asymmetric-valued Spectrum Auction and Competition in Wireless Broadband Services
Online Learning in the Random Order Model
Predictive Digital Twin for Optimizing Patient-Specific Radiotherapy Regimens under Uncertainty in High-Grade Gliomas
A Multigrid Method for a Nitsche-based Extended Finite Element Method
Using dual quaternions in robotics
AI in Lung Health: Benchmarking Detection and Diagnostic Models Across Multiple CT Scan Datasets
A Unit-Cell Shape Optimization Approach for Maximizing Heat Transfer in Periodic Fin Arrays at Constant Solid Temperature
Improving Privacy-Preserving Techniques for Smart Grid using Lattice-based Cryptography
Emergence of influential spreaders in modified rumor models
Online and Offline Space-Filling Input Design for Nonlinear System Identification: A Receding Horizon Control-Based Approach
Robust Planning for Autonomous Vehicles with Diffusion-Based Failure Samplers
A Comprehensive Understanding of Code-mixed Language Semantics using Hierarchical Transformer
Lessons from the Coinseminar
Exploring Neural Models for Parsing Natural Language into First-Order Logic
Ancillary Services in Power System Transition Toward a 100% Non-Fossil Future: Market Design Challenges in the United States and Europe
A Combinatorial-Probabilistic Diagnostic Entropy and Information
Graph-Aware Transformer: Is Attention All Graphs Need?
Sparse Recovery of Streaming Signals Using L1-Homotopy
Explainable AI models for predicting liquefaction-induced lateral spreading
Optimal Surrogate Boundary Selection and Scalability Studies for the Shifted Boundary Method on Octree Meshes
End-to-end multi-particle reconstruction in high occupancy imaging calorimeters with graph neural networks
SqueezeMe: Efficient Gaussian Avatars for VR
Image Segmentation in Foundation Model Era: A Survey
VeriSFQ - A Semi-formal Verification Framework and Benchmark for Single Flux Quantum Technology
Underwater Image Color Correction by Complementary Adaptation
A Dynamic Programming Solution to the Monotonic Path of Minimal Cost in a 3-Rows Matrix
Parasitic Effects Reduction for Wafer-Level Packaging of RF-Mems
Combined Integer and Floating Point Multiplication Architecture(CIFM) for FPGAs and Its Reversible Logic Implementation
Learning-Guided Fuzzing for Testing Stateful SDN Controllers
Online Neural Diarization of Unlimited Numbers of Speakers
Swarm Formation Morphing for Congestion Aware Collision Avoidance
Why Do Masked Neural Language Models Still Need Common Sense Knowledge?
Type-based Neural Link Prediction Adapter for Complex Query Answering
Application of Machine Learning in Agriculture: Recent Trends and Future Research Avenues
COVID-19 Computer-aided Diagnosis through AI-assisted CT Imaging Analysis: Deploying a Medical AI System
Finding Macro-Actions with Disentangled Effects for Efficient Planning with the Goal-Count Heuristic
ISyNet: Convolutional Neural Networks design for AI accelerator
A Concept for Efficient Scalability of Automated Driving Allowing for Technical, Legal, Cultural, and Ethical Differences
Adaptive generalized multiscale approximation of a mixed finite element method with velocity elimination
Computing the Reveals Relation in Occurrence Nets
Fine-tuning Large Language Models with Human-inspired Learning Strategies in Medical Question Answering
MedEBench: Revisiting Text-instructed Image Editing on Medical Domain
Axioms in Model-based Planners
Accurate Programming: Thinking about programs in terms of properties
Non-convex Super-resolution of OCT images via sparse representation
A Deep Reinforcement Learning Approach for Adaptive Traffic Routing in Next-gen Networks
Cookies Invading Our Privacy for Marketing Advertising and Security Issues
Rethinking Diffusion-Based Image Generators for Fundus Fluorescein Angiography Synthesis on Limited Data
Switchback Price Experiments with Forward-Looking Demand
Nondeterministic Quantum Query and Quantum Communication Complexities
Your Thoughtful Opponent: Embracing Cognitive Conflict with Peer Agent
MaskSAM: Towards Auto-prompt SAM with Mask Classification for Medical Image Segmentation
PSNR and Jitter Analysis of Routing Protocols for Video Streaming in Sparse MANET Networks, using NS2 and the Evalvid Framework
W-Trace: Robust and Effective Watermarking for GPS Trajectories
POPCORN: Progressive Pseudo-labeling with Consistency Regularization and Neighboring
Variational Quantum Optimization with Continuous Bandits
Concept-Monitor: Understanding DNN training through individual neurons
Probabilistic consequence relations
Cyclic Orbit Codes and Stabilizer Subfields
Three Dogmas, a Puzzle and its Solution
Adoption as a Social Marker: The Diffusion of Products in a Multigroup Environment
Multi-Level Fine-Tuning: Closing Generalization Gaps in Approximation of Solution Maps under a Limited Budget for Training Data
SpriteHand: Real-Time Versatile Hand-Object Interaction with Autoregressive Video Generation
Use Property-Based Testing to Bridge LLM Code Generation and Validation
Subjective Learning for Open-Ended Data
Modelling a Decentralized Constraint Satisfaction Solver for Collision-Free Channel Access
VISER: A Tractable Solution Concept for Games with Information Asymmetry
Indigenization of Urban Mobility
Task-Driven Data Augmentation for Vision-Based Robotic Control
An Efficient Calibration Method for Triaxial Gyroscope
Canonical projection tilings defined by patterns
Parameter-Efficient Detoxification with Contrastive Decoding
Distributed Ranging and Localization for Wireless Networks via Compressed Sensing
An Upper Bound on the Minimum Distance of LDPC Codes over GF(q)
A direct geometry processing cartilage generation method using segmented bone models from datasets with poor cartilage visibility
SynTTS-Commands: A Public Dataset for On-Device KWS via TTS-Synthesized Multilingual Speech
Mathematical Foundations of Complex Tonality
Understanding Feature Selection and Feature Memorization in Recurrent Neural Networks
DomainGAN: Generating Adversarial Examples to Attack Domain Generation Algorithm Classifiers
Benchmarking Large Language Models for Geolocating Colonial Virginia Land Grants
DReSS: Data-driven Regularized Structured Streamlining for Large Language Models
Multi-Scale Attention and Gated Shifting for Fine-Grained Event Spotting in Videos
Kernel Self-Attention in Deep Multiple Instance Learning
Break the ID-Language Barrier: An Adaption Framework for Sequential Recommendation
Energy Stable and Structure-Preserving Algorithms for the Stochastic Galerkin System of 2D Shallow Water Equations
Follow-Your-Creation: Empowering 4D Creation through Video Inpainting
Association: Remind Your GAN not to Forget
Undecidability of a Very Simple Modal Logic with Binding
Privacy as a Service in Digital Health
Aspects of SOA: An Entry Point for Starters
A Micro-Macro Machine Learning Framework for Predicting Childhood Obesity Risk Using NHANES and Environmental Determinants
JCSE: Contrastive Learning of Japanese Sentence Embeddings and Its Applications
Mapping Trafficking Networks: A Data-Driven Approach to Disrupt Human Trafficking Post Russia-Ukraine Conflict
Relationships, Paths and Principal Matching: A New Approach to Access Control
Energy-Based Reward Models for Robust Language Model Alignment
NewsBench: Systematic Evaluation of LLMs for Writing Proficiency and Safety Adherence in Chinese Journalistic Editorial Applications
Quagmires in SFT-RL Post-Training: When High SFT Scores Mislead and What to Use Instead
Optimizing Multitask Industrial Processes with Predictive Action Guidance
Understanding Membership Inferences on Well-Generalized Learning Models
Intervention Design for Effective Sim2Real Transfer
Informative Pseudo-Labeling for Graph Neural Networks with Few Labels
CRISTAL-ISE : Provenance Applied in Industry
NeReF: Neural Refractive Field for Fluid Surface Reconstruction and Implicit Representation
Predicting Trust Dynamics with Dynamic SEM in Human-AI Cooperation
Low Frequency Spinning LiDAR De-Skewing
Two Hands Are Better Than One (up to constant factors)
Neuromorphic Wireless Split Computing with Multi-Level Spikes
ODVICE: An Ontology-Driven Visual Analytic Tool for Interactive Cohort Extraction
Statistical optimality conditions for compressive ensembles
Incorporating Transformer and LSTM to Kalman Filter with EM algorithm for state estimation
Fair and Diverse DPP-based Data Summarization
Resolution Enhancement of Under-sampled Photoacoustic Microscopy Images using Implicit Neural Representations
Performance analysis and optimization of the JOREK code for many-core CPUs
Scaling LLM Pre-training with Vocabulary Curriculum
Self-Supervised Learning for Multi-Channel Neural Transducer
Social Media Usage in Kuwait: A Comparison of Perspectives Between Healthcare Practitioners and Patients
Impact of (SARS-CoV-2) COVID 19 on the indigenous language-speaking population in Mexico
Urban Distribution Grid Topology Estimation via Group Lasso
The Analysis and Extraction of Structure from Organizational Charts
Hyperparameter Optimization for COVID-19 Chest X-Ray Classification
Context-aware Multimodal AI Reveals Hidden Pathways in Five Centuries of Art Evolution
Cookbook: A framework for improving LLM generative abilities via programmatic data generating templates
Unsupervised Deep Unrolled Reconstruction Using Regularization by Denoising
FLORES: A Reconfigured Wheel-Legged Robot for Enhanced Steering and Adaptability
LOD-GS: Level-of-Detail-Sensitive 3D Gaussian Splatting for Detail Conserved Anti-Aliasing
A Model-Based, Decision-Theoretic Perspective on Automated Cyber Response
Computer-assisted proofs for the many steady states of a chemotaxis model with local sensing
The Method of Gauss-Newton to Compute Power Series Solutions of Polynomial Homotopies
Epidemic risk from friendship network data: an equivalence with a non-uniform sampling of contact networks
Integrated Framework for LLM Evaluation with Answer Generation
Advancing Investment Frontiers: Industry-grade Deep Reinforcement Learning for Portfolio Optimization
Optimal Actuator Attacks on Autonomous Vehicles Using Reinforcement Learning
Behavior Tokens Speak Louder: Disentangled Explainable Recommendation with Behavior Vocabulary
FlexParser - the adaptive log file parser for continuous results in a changing world
Sentiment-Aware Extractive and Abstractive Summarization for Unstructured Text Mining
Parameter choices in HaarPSI for IQA with medical images
ARCSnake V2: An Amphibious Multi-Domain Screw-Propelled Snake-Like Robot
Protocol Design for Irregular Repetition Slotted ALOHA With Energy Harvesting to Maintain Information Freshness
Redefining Functionality and Construction-Defining Capacity: Functions as Principles of Syntactic and Semantic Generation
Generalized Category Discovery under the Long-Tailed Distribution
Multi-Agent System Interaction in Integrated SCM
Some Sharp Error Bounds for Multivariate Linear Interpolation and Extrapolation
Power System Parameters Forecasting Using Hilbert-Huang Transform and Machine Learning
Counting points on genus-3 hyperelliptic curves with explicit real multiplication
PLD: A Choice-Theoretic List-Wise Knowledge Distillation
Intent Classification on Low-Resource Languages with Query Similarity Search
Bridging Cognition and Emotion: Empathy-Driven Multimodal Misinformation Detection
A Greedy Graph Search Algorithm Based on Changepoint Analysis for Automatic QRS Complex Detection
Static and Dynamic Robust PCA via Low-Rank + Sparse Matrix Decomposition: A Review
Online Statistical Inference for Matrix Contextual Bandit
Digital Twin-Driven Zero-Shot Fault Diagnosis of Axial Piston Pumps Using Fluid-Borne Noise Signals
Position Location for Futuristic Cellular Communications - 5G and Beyond
OBJVanish: Physically Realizable Text-to-3D Adv. Generation of LiDAR-Invisible Objects
Non-Stationary Latent Bandits
Meaning Typed Prompting: A Technique for Efficient, Reliable Structured Output Generation
Energy Efficient and Reliable Wireless Sensor Networks - An Extension to IEEE 802.15.4e
Pallet Detection from Synthetic Data Using Game Engines
Domain-adaptive Person Re-identification without Cross-camera Paired Samples
Food Recognition and Nutritional Apps
Supporting Creative Work with Crowd Feedback Systems
Good Weights: Proactive, Adaptive Dead Reckoning Fusion for Continuous and Robust Visual SLAM
Fast and Robust Localization for Humanoid Soccer Robot via Iterative Landmark Matching
Multihead Finite-State Dimension
Two-pass Discourse Segmentation with Pairing and Global Features
ArCo: the Italian Cultural Heritage Knowledge Graph
Testing MediaPipe Holistic for Linguistic Analysis of Nonmanual Markers in Sign Languages
Automating lookahead planning using site appearance and space utilization
The System Description of dun_oscar team for The ICPR MSR Challenge
Hibikino-Musashi@Home 2023 Team Description Paper
UniForward: Unified 3D Scene and Semantic Field Reconstruction via Feed-Forward Gaussian Splatting from Only Sparse-View Images
Depth Perception in Autostereograms: 1/f-Noise is Best
Performance evaluation results of evolutionary clustering algorithm star for clustering heterogeneous datasets
Replicating Human Social Perception in Generative AI: Evaluating the Valence-Dominance Model
Utilization of Non-verbal Behaviour and Social Gaze in Classroom Human-Robot Interaction Communications
CLUE: Contextualised Unified Explainable Learning of User Engagement in Video Lectures
A Spectral Split-Step Padé Method for Guided Wave Propagation
Catastrophic Forgetting in Kolmogorov-Arnold Networks
Ultra Reliable Communication via Optimum Power Allocation for Type-I ARQ in Finite Block-Length
Global forensic geolocation with deep neural networks
A Publish/Subscribe QoS-aware Framework for Massive IoT Traffic Orchestration
Exploring RWKV for Memory Efficient and Low Latency Streaming ASR
A Comparison and Evaluation of Map Construction Algorithms
FroSSL: Frobenius Norm Minimization for Self-Supervised Learning
CogniDot: Vasoactivity-based Cognitive Load Monitoring with a Miniature On-skin Sensor
Applications of 0-1 Neural Networks in Prescription and Prediction
Learning state machines via efficient hashing of future traces
Linear Regression with an Unknown Permutation: Statistical and Computational Limits
Distributed representation of patients and its use for medical cost prediction
Faster logconcave sampling from a cold start in high dimension
Multi-Channel Man-in-the-Middle Attacks Against Protected Wi-Fi Networks: A State of the Art Review
Tuning Language Models by Mixture-of-Depths Ensemble
Argumentative Topology: Finding Loop(holes) in Logic
Multi-Objective min-max Online Convex Optimization
Optimizing Affine Maximizer Auctions via Linear Programming: an Application to Revenue Maximizing Mechanism Design for Zero-Day Exploits Markets
Approximate Distance Oracles with Improved Preprocessing Time
The Reconfigurable Earth Observation Satellite Scheduling Problem
Tensor Decomposition for Model Reduction in Neural Networks: A Review
Width Hierarchies for Quantum and Classical Ordered Binary Decision Diagrams with Repeated Test
Reinforcement Learning for Dynamic Memory Allocation
Large Language Models to Identify Social Determinants of Health in Electronic Health Records
A Multi-Vector Interface Quasi-Newton Method with Linear Complexity for Partitioned Fluid-Structure Interaction
Exact Quantum Circuit Optimization is co-NQP-hard
Calibrated Fairness in Bandits
HEAT: Head-level Parameter Efficient Adaptation of Vision Transformers with Taylor-expansion Importance Scores
FuSS: Fusing Superpixels for Improved Segmentation Consistency
Selective information exchange in collaborative clustering using regularized Optimal Transport
Is rotation forest the best classifier for problems with continuous features?
A General Framework for Charger Scheduling Optimization Problems
Driver Drowsiness Estimation from EEG Signals Using Online Weighted Adaptation Regularization for Regression (OwARR)
HDDLGym: A Tool for Studying Multi-Agent Hierarchical Problems Defined in HDDL with OpenAI Gym
User Friendly Implementation for Efficiently Conducting Hammersmith Infant Neurological Examination
Fast Convergence Rates for Subsampled Natural Gradient Algorithms on Quadratic Model Problems
Gotham Dataset 2025: A Reproducible Large-Scale IoT Network Dataset for Intrusion Detection and Security Research
Spatio-Temporal Attention in Multi-Granular Brain Chronnectomes for Detection of Autism Spectrum Disorder
Towards Pedagogical LLMs with Supervised Fine Tuning for Computing Education
On multi-step prediction models for receding horizon control
Modiff: Action-Conditioned 3D Motion Generation with Denoising Diffusion Probabilistic Models
Detecting Separation in Robotic and Sensor Networks
An Appraisal-Based Approach to Human-Centred Explanations
Deep Learning for Radio Resource Allocation with Diverse Quality-of-Service Requirements in 5G
Net-Zero Settlement in Distribution Markets
Topology optimization for additive manufacturing with length scale, overhang, and building orientation constraints
Are LLMs reliable? An exploration of the reliability of large language models in clinical note generation
Fast Decentralized Gradient Tracking for Federated Minimax Optimization with Local Updates
Reexamination of the realtime protection for user privacy in practical quantum private query
Resilience in the Cyber World: Definitions, Features and Models
Scheduling the Learning Rate via Hypergradients: New Insights and a New Algorithm