yusuke1997/dblp-id-title huggingface dataset:
Dual Principal Component Pursuit: Probability Analysis and Efficient Algorithms
Adapting Dual-encoder Vision-language Models for Paraphrased Retrieval
A Deep Neural Network Framework for Solving Forward and Inverse Problems in Delay Differential Equations
Feedback Capacity of the Compound Channel
Variance-Dependent Regret Lower Bounds for Contextual Bandits
SAT-based Exact Modulo Scheduling Mapping for Resource-Constrained CGRAs
Error-correcting pairs for a public-key cryptosystem
Predictive-LoRA: A Proactive and Fragmentation-Aware Serverless Inference System for LLMs
CoreDiag: Eliminating Redundancy in Constraint Sets
PAFFA: Premeditated Actions For Fast Agents
DOA Estimation for Transmit Beamspace MIMO Radar via Tensor Decomposition with Vandermonde Factor Matrix
Discovering and Explaining Driver Behaviour under HoS Regulations
Sky Imager-Based Forecast of Solar Irradiance Using Machine Learning
A Note on Slepian-Wolf Bounds for Several Node Grouping Configurations
The Solution for Single Object Tracking Task of Perception Test Challenge 2024
LLM-Based Evaluation of Low-Resource Machine Translation: A Reference-less Dialect Guided Approach with a Refined Sylheti-English Benchmark
Optimising the topological information of the A ∞ -persistence groups
Robust Longitudinal Control for Vehicular Autonomous Platoons Using Deep Reinforcement Learning
LLMs can realize combinatorial creativity: generating creative ideas via LLMs for scientific research
HMCF: A Human-in-the-loop Multi-Robot Collaboration Framework Based on Large Language Models
Workload-Aware Hardware Accelerator Mining for Distributed Deep Learning Training
Securing Semantic Communications with Physical-layer Semantic Encryption and Obfuscation
Decentralized Secure State-Tracking in Multi-Agent Systems
A Comprehensive Review on RNA Subcellular Localization Prediction
GLAS: Global-to-Local Safe Autonomy Synthesis for Multi-Robot Motion Planning with End-to-End Learning
High-speed electrical connector assembly by structured compliance in a finray-effect gripper
Case Study: Fine-tuning Small Language Models for Accurate and Private CWE Detection in Python Code
Dropout-based Active Learning for Regression
A novel fourth-order scheme for two-dimensional Riesz space fractional nonlinear reaction-diffusion equations and its optimal preconditioned solver
When is Offline Policy Selection Sample Efficient for Reinforcement Learning?
Integrating cognitive map learning and active inference for planning in ambiguous environments
CholecTriplet2022: Show me a tool and tell me the triplet - an endoscopic vision challenge for surgical action triplet detection
Hierarchical Network Fusion for Multi-Modal Electron Micrograph Representation Learning with Foundational Large Language Models
Short note on the behavior of recurrent neural network for noisy dynamical system
DyDexHandover: Human-like Bimanual Dynamic Dexterous Handover using RGB-only Perception
A Comment on the Averseness of Random Serial Dictatorship to Stochastic Dominance Efficiency
Algorithmic aspects of graph-indexed random walks
Entropy-based Guidance of Deep Neural Networks for Accelerated Convergence and Improved Performance
Regularizers for Single-step Adversarial Training
A Comprehensive Study of Vision Transformers in Image Classification Tasks
Categorical Probabilistic Theories
Folding, Tiling, and Multidimensional Coding
Twitter Sentiment on Affordable Care Act using Score Embedding
IS-LABEL: an Independent-Set based Labeling Scheme for Point-to-Point Distance Querying on Large Graphs
Constraint Exploration and Envelope of Simulation Trajectories
Behavior Regularized Offline Reinforcement Learning
Deep Frame Interpolation
The Gromov-Hausdorff distance between ultrametric spaces: its structure and computation
The entrepreneurial role of the University: a link analysis of York Science Park
Multiparty Session Programming with Global Protocol Combinators
Adaptive Step Size Incremental Conductance Based Maximum Power Point Tracking (MPPT)
Outlying Property Detection with Numerical Attributes
A2HCoder: An LLM-Driven Coding Agent for Hierarchical Algorithm-to-HDL Translation
Analyzing Peer Selection Policies for BitTorrent Multimedia On-Demand Streaming Systems in Internet
Preliminary Systematic Literature Review of Machine Learning System Development Process
Investigating Responsible AI for Scientific Research: An Empirical Study
EnCLAP++: Analyzing the EnCLAP Framework for Optimizing Automated Audio Captioning Performance
3D-2D Neural Nets for Phase Retrieval in Noisy Interferometric Imaging
Revolutionizing Medical Data Transmission with IoMT: A Comprehensive Survey of Wireless Communication Solutions and Future Directions
Logical Characterization of Bisimulation Metrics
Modern theory of hydraulic fracture modeling with using explicit and implicit schemes
Modeling the Uncertainty in Electronic Health Records: a Bayesian Deep Learning Approach
Using Images as Covariates: Measuring Curb Appeal with Deep Learning
When Cars meet Drones: Hyperbolic Federated Learning for Source-Free Domain Adaptation in Adverse Weather
Speeding up Local Search for the Indicator-based Subset Selection Problem by a Candidate List Strategy
Motion-Nets: 6D Tracking of Unknown Objects in Unseen Environments using RGB
A Model for Personalized Keyword Extraction from Web Pages using Segmentation
Cooking in the kitchen: A generative approach to the recognition, parsing and segmentation of human daily activities
FASHION: Functional and Attack graph Secured HybrId Optimization of virtualized Networks
Private Function Computation for Noncolluding Coded Databases
GUIDE: A Diffusion-Based Autonomous Robot Exploration Framework Using Global Graph Inference
Distances in and Layering of a DAG
Recurrence to the Rescue: Towards Causal Spatiotemporal Representations
Stability Optimization and Analysis of Energy Flow Networks versus Different Centrality Measurement
Belief-Propagation Decoding of Lattices Using Gaussian Mixtures
InnerGS: Internal Scenes Rendering via Factorized 3D Gaussian Splatting
An Investigation of Conformal Isometry Hypothesis for Grid Cells
Ancestral instrument method for causal inference without a causal graph
A Probabilistic Model for Node Classification in Directed Graphs
Lyrics: Boosting Fine-grained Language-Vision Alignment and Comprehension via Semantic-aware Visual Objects
Efficient Black-Box Speaker Verification Model Adaptation with Reprogramming and Backend Learning
Meta-Semi: A Meta-learning Approach for Semi-supervised Learning
Enhancing the SysLab System Model with State
ReachBot: A Small Robot for Large Mobile Manipulation Tasks
Augmenting emotion features in irony detection with Large language modeling
(LA)yer-neigh(BOR) Sampling: Defusing Neighborhood Explosion in GNNs
ISETAuto: Detecting vehicles with depth and radiance information
On Secrecy Capacity of Fast Fading MIMOME Wiretap Channels With Statistical CSIT
Qualitative and Quantitative Models of Speech Translation
Dialogue History Matters! Personalized Response Selectionin Multi-turn Retrieval-based Chatbots
A Unified Approach to Robust Mean Estimation
Aspl{ü}nd's metric defined in the Logarithmic Image Processing (LIP) framework for colour and multivariate images
Embedding Non-Distortive Cancelable Face Template Generation
Unveiling Hidden Communities Through Cascading Detection on Network Structures
Striking the Right Balance with Uncertainty
Missing Value Estimation using Clustering and Deep Learning within Multiple Imputation Framework
Efficient Transformer for Single Image Super-Resolution
Analysis of Asymptotically Optimal Sampling-based Motion Planning Algorithms for Lipschitz Continuous Dynamical Systems
When Medical Imaging Met Self-Attention: A Love Story That Didn't Quite Work Out
Probabilistic forecasts of wind power generation in regions with complex topography using deep learning methods: An Arctic case
Complex Human Action Recognition in Live Videos Using Hybrid FR-DL Method
Natural evolution strategies and quantum approximate optimization
Property Unlearning: A Defense Strategy Against Property Inference Attacks
Breaking the Boundaries of Long-Context LLM Inference: Adaptive KV Management on a Single Commodity GPU
Efficient parameterized approximation
Extreme Solar Flare Prediction Using Residual Networks with HMI Magnetograms and Intensitygrams
Hybrid Cathode Lithium Battery Discharge Simulation for Implantable Cardioverter Defibrillators Using a Coupled Electro-Thermal Dynamic Model
Robust and Decentralized Reinforcement Learning for UAV Path Planning in IoT Networks
Quantum Statistics-Inspired Neural Attention
Augmented Lagrangian Solvers for Poroelasticity with Fracture Contact Mechanics
Multi-scale Multi-instance Visual Sound Localization and Segmentation
PKU-I2IQA: An Image-to-Image Quality Assessment Database for AI Generated Images
Second-order invariant domain preserving approximation of the compressible Navier-Stokes equations
Sparse Bottleneck Networks for Exploratory Analysis and Visualization of Neural Patch-seq Data
CuES: A Curiosity-driven and Environment-grounded Synthesis Framework for Agentic RL
Fast and Accurate Reduced-Order Modeling of a MOOSE-based Additive Manufacturing Model with Operator Learning
Share Price Prediction of Aerospace Relevant Companies with Recurrent Neural Networks based on PCA
Modeling multistage decision processes with Reflexive Game Theory
Reinforcement Learning for Robot Navigation with Adaptive ExecutionDuration (AED) in a Semi-Markov Model
Momentum Accelerated Multigrid Methods
Refactoring for Reuse: An Empirical Study
A neural-network based nonlinear non-intrusive reduced basis method with online adaptation for parametrized partial differential equations
Adaptive App Design by Detecting Handedness
Ternary extremal four-negacirculant self-dual codes
PETWB-REP: A Multi-Cancer Whole-Body FDG PET/CT and Radiology Report Dataset for Medical Imaging Research
Training-free Quantum-Inspired Image Edge Extraction Method
Local Knowledge Powered Conversational Agents
Total variation regularization for fMRI-based prediction of behaviour
Health Risks Associated with 5G Exposure: A View from the Communications Engineering Perspective
Joint Inference of Structure and Diffusion in Partially Observed Social Networks
Quantum Resource Analysis of Low-Round Keccak/SHA-3 Preimage Attack: From Classical 2^57.8 to Quantum 2^28.9 using Qiskit Modeling
Training Foundation Models on a Full-Stack AMD Platform: Compute, Networking, and System Design
Prediction error quantification through probabilistic scaling
Context-aware Padding for Semantic Segmentation
NetCodCCN: a Network Coding approach for Content-Centric Networks
Nonlinear Laplacians: Tunable principal component analysis under directional prior information
Detecting AI Hallucinations in Finance: An Information-Theoretic Method Cuts Hallucination Rate by 92%
Tetra-AML: Automatic Machine Learning via Tensor Networks
Complexity Classification Of The Six-Vertex Model
Is GPT-4 a reliable rater? Evaluating Consistency in GPT-4 Text Ratings
Training Neural Speech Recognition Systems with Synthetic Speech Augmentation
Charting the replica symmetric phase
Transfer learning in large-scale ocean bottom seismic wavefield reconstruction
Spectral analysis for preconditioning of multi-dimensional Riesz fractional diffusion equations
Systematic Mapping Study of Template-based Code Generation
Music-triggered fashion design: from songs to the metaverse
Improving Fine-Tuning with Latent Cluster Correction
Synchronisation-Oriented Design Approach for Adaptive Control
Structuring Relevant Feature Sets with Multiple Model Learning
All Technologies Work Together for Good: A Glance to Future Mobile Networks
Prioritized Multi-View Stereo Depth Map Generation Using Confidence Prediction
What's Inside Your Diffusion Model? A Score-Based Riemannian Metric to Explore the Data Manifold
A time-frequency method for acoustic scattering with trapping
Certification of Iterative Predictions in Bayesian Neural Networks
Efficient Portrait Matte Creation With Layer Diffusion and Connectivity Priors
Cultural Event Recognition with Visual ConvNets and Temporal Models
Cooperative Strategies for Interference-Limited Wireless Networks
Reinforcement Learning Methods for Wordle: A POMDP/Adaptive Control Approach
Team Xiaomi EV-AD VLA: Caption-Guided Retrieval System for Cross-Modal Drone Navigation - Technical Report for IROS 2025 RoboSense Challenge Track 4
Automatic Summarization of Natural Language
Permutations Unlabeled beyond Sampling Unknown
A Multi-Level Deep Ensemble Model for Skin Lesion Classification in Dermoscopy Images
FedLPA: Personalized One-shot Federated Learning with Layer-Wise Posterior Aggregation
The IEEE-IS2 2024 Music Packet Loss Concealment Challenge
Automatic Double Reinforcement Learning in Semiparametric Markov Decision Processes with Applications to Long-Term Causal Inference
Model-driven Engineering for Machine Learning Components: A Systematic Literature Review
Preserving Patient-centred Controls in Electronic Health Record Systems: A Reliance-based Model Implication
KG-ECO: Knowledge Graph Enhanced Entity Correction for Query Rewriting
Introducing Aspects of Creativity in Automatic Poetry Generation
Spline Upwind for space-time Isogeometric Analysis of cardiac electrophysiology
A Comparative Study of Loss Functions: Traffic Predictions in Regular and Congestion Scenarios
Finite-Length Analysis of Frameless ALOHA
A Primer on the Differential Calculus of 3D Orientations
A Novel Application of Boolean Functions with High Algebraic Immunity in Minimal Codes
Consensus Answers for Queries over Probabilistic Databases
Rank-smoothed Pairwise Learning In Perceptual Quality Assessment
Efficient Unpaired Image Dehazing with Cyclic Perceptual-Depth Supervision
Beyond Reality: Designing Personal Experiences and Interactive Narratives in AR Theater
Item Recommendation with Variational Autoencoders and Heterogenous Priors
Cross-View Tracking for Multi-Human 3D Pose Estimation at over 100 FPS
AIR: Complex Instruction Generation via Automatic Iterative Refinement
Speech To Semantics: Improve ASR and NLU Jointly via All-Neural Interfaces
Using Anatomical Markers for Left Ventricular Segmentation of Long Axis Ultrasound Images
Applying the CobiT Control Framework to Spreadsheet Developments
Uncovering Hidden Intentions: Exploring Prompt Recovery for Deeper Insights into Generated Texts
Voyaging into Unbounded Dynamic Scenes from a Single View
Proximal Point Methods for Optimization with Nonconvex Functional Constraints
On the Perturbed States for Transformed Input-robust Reinforcement Learning
VisualMimic: Visual Humanoid Loco-Manipulation via Motion Tracking and Generation
Improving Low-resource Prompt-based Relation Representation with Multi-view Decoupling Learning
Multi-Modal Mamba Modeling for Survival Prediction (M4Survive): Adapting Joint Foundation Model Representations
Comparison of security margin estimation methods under various load configurations
Shocks Under Control: Taming Transonic Compressible Flow over an RAE2822 Airfoil with Deep Reinforcement Learning
Reconstructing Personalized Semantic Facial NeRF Models From Monocular Video
Dataversifying Natural Sciences: Pioneering a Data Lake Architecture for Curated Data-Centric Experiments in Life \& Earth Sciences
Challenging an experimental nonlinear modal analysis method with a new strongly friction-damped structure
Partial orders and contraction for BISO channels
Designing and building the mlpack open-source machine learning library
A Transfer Learning Based Active Learning Framework for Brain Tumor Classification
A parametrized Poincare-Hopf Theorem and Clique Cardinalities of graphs
PANNA 2.0: Efficient neural network interatomic potentials and new architectures
Discontinuous Galerkin Finite Element Methods for the Landau-de Gennes Minimization Problem of Liquid Crystals
Towards an Understanding of Context Utilization in Code Intelligence
Network Coding Meets Multimedia: a Review
Efficient P2P Ensemble Learning with Linear Models on Fully Distributed Data
Towards an Architectural Perspective for Sustainability: Bundle the Needs from Industry
Federated TrustChain: Blockchain-Enhanced LLM Training and Unlearning
Protocols to Code: Formal Verification of a Next-Generation Internet Router
Neural Codecs as Biosignal Tokenizers
Learning by Semantic Similarity Makes Abstractive Summarization Better
Constrained Motion Planning for a Robotic Endoscope Holder based on Hierarchical Quadratic Programming
Modelling DDoS Attacks in IoT Networks using Machine Learning
Reduced Order Model Enhanced Source Iteration with Synthetic Acceleration for Parametric Radiative Transfer Equation
SIFM: A network architecture for seamless flow mobility between LTE and WiFi networks - Analysis and Testbed Implementation
Equivariance Regularization for Image Reconstruction
Value-Added Chemical Discovery Using Reinforcement Learning
An Exploratory Study of Applying a Scrum Development Process for Safety-Critical Systems
SLR: An Automated Synthesis Framework for Scalable Logical Reasoning
Hyperbolic Generative Adversarial Network
It wasn't me! Plausible Deniability in Web Search
Continual Learning of Semantic Segmentation using Complementary 2D-3D Data Representations
Weighted Joint Maximum Mean Discrepancy Enabled Multi-Source-Multi-Target Unsupervised Domain Adaptation Fault Diagnosis
Exploring LLMs for Malware Detection: Review, Framework Design, and Countermeasure Approaches
Sentiment Perception of Readers and Writers in Emoji use
Pressing Intensity: An Intuitive Measure for Pressing in Soccer
Bohrium + SciMaster: Building the Infrastructure and Ecosystem for Agentic Science at Scale
Secure and Scalable Blockchain Voting: A Comparative Framework and the Role of Large Language Models
Team Intro to AI team8 at CoachAI Badminton Challenge 2023: Advanced ShuttleNet for Shot Predictions
Many LLMs Are More Utilitarian Than One
QLook:Quantum-Driven Viewport Prediction for Virtual Reality
A generative adversarial network optimization method for damage detection and digital twinning by deep AI fault learning: Z24 Bridge structural health monitoring benchmark validation
Soft-CP: A Credible and Effective Data Augmentation for Semantic Segmentation of Medical Lesions
Handling out-of-order input arrival in CEP engines on the edge combining optimistic, pessimistic and lazy evaluation
MalCVE: Malware Detection and CVE Association Using Large Language Models
Interpretable Modeling of Single-cell perturbation Responses to Novel Drugs Using Cycle Consistence Learning
Efficient and Secure Cross-Domain Data-Sharing for Resource-Constrained Internet of Things
Security Protocol Review Method Analyzer
Robust Autonomous Landing of UAV in Non-Cooperative Environments based on Dynamic Time Camera-LiDAR Fusion
A Classification of Long-Refinement Graphs for Colour Refinement
On link deletion and point deletion in games on graphs
FairFlow Protocol: Equitable Maximal Extractable Value (MEV) mitigation in Ethereum
Boosting Adversarial Transferability with Spatial Adversarial Alignment
Tubular Shape Aware Data Generation for Semantic Segmentation in Medical Imaging
A curated collection of COVID-19 online datasets
Coding of Markov dynamics for multiscale community detection in complex networks
A Complexity measure based on Requirement Engineering Document
WBT-BGRL: A Non-Contrastive Weighted Bipartite Link Prediction Model for Inductive Learning
DGSAM: Domain Generalization via Individual Sharpness-Aware Minimization
Development and Validation of Functional Model of a Cruise Control System
Deep Transductive Transfer Learning for Automatic Target Recognition
Generalized GM-MDS: Polynomial Codes are Higher Order MDS
EGM: Efficiently Learning General Motion Tracking Policy for High Dynamic Humanoid Whole-Body Control
From flocking to jamming in collective cell dynamics: a Vicsek-like model including contact forces
Dynamic Spatiotemporal Graph Neural Network with Tensor Network
Can Linear Probes Measure LLM Uncertainty?
Distance-aware Molecule Graph Attention Network for Drug-Target Binding Affinity Prediction
The Distributive, Graded Lattice of EL Concept Descriptions and its Neighborhood Relation (Extended Version)
A New Algorithm for Decremental Single-Source Shortest Paths with Applications to Vertex-Capacitated Flow and Cut Problems
Event-B/SLP
Carbon accounting in the Cloud: a methodology for allocating emissions across data center users
SubT-MRS: A Subterranean, Multi-Robot, Multi-Spectral and Multi-Degraded Dataset for Robust SLAM
Synthesising Executable Gene Regulatory Networks from Single-cell Gene Expression Data
Low-Resource End-to-end Sanskrit TTS using Tacotron2, WaveGlow and Transfer Learning
OS-Oracle: A Comprehensive Framework for Cross-Platform GUI Critic Models
Span-level Emotion-Cause-Category Triplet Extraction with Instruction Tuning LLMs and Data Augmentation
Transforming Social Science Research with Transfer Learning: Social Science Survey Data Integration with AI
Rate-adaptive model selection over a collection of black-box contextual bandit algorithms
Direct sampling method to inverse wave-number-dependent source problems (part I): determination of the support of a stationary source
Universality in voting behavior: an empirical analysis
The Epistemic Support-Point Filter (ESPF): A Bounded Possibilistic Framework for Ordinal State Estimation
Agnostic Learning for Packing Machine Stoppage Prediction in Smart Factories
Training Coupled Phase Oscillators as a Neuromorphic Platform using Equilibrium Propagation
Quantum MDS Codes with length n ≡ 0, 1(mod((q±1)/2))
Ultrafast single-channel machine vision based on neuro-inspired photonic computing
IDNet: Smartphone-based Gait Recognition with Convolutional Neural Networks
LAE-ST-MoE: Boosted Language-Aware Encoder Using Speech Translation Auxiliary Task for E2E Code-switching ASR
SPEAR-MM: Selective Parameter Evaluation and Restoration via Model Merging for Efficient Financial LLM Adaptation
Universal Algebra for Generalised Metric Spaces
mAPN: Modeling, Analysis, and Exploration of Algorithmic and Parallelism Adaptivity
WLCG Authorisation from X.509 to Tokens
Measuring group-separability in geometrical space for evaluation of pattern recognition and embedding algorithms
Ensemble Kalman filter in latent space using a variational autoencoder pair
IDENT Review: Recent Advances in Identification of Differential Equations from Noisy Data
Landmark2Vec: An Unsupervised Neural Network-Based Landmark Positioning Method
AniME: Adaptive Multi-Agent Planning for Long Animation Generation
Evaluating Position Bias in Large Language Model Recommendations
Automatic Grid Updates for Kolmogorov-Arnold Networks using Layer Histograms
Finite-Length Bounds for Joint Source-Channel Coding with Markovian Source and Additive Channel Noise to Achieve Large and Moderate Deviation Bounds
Fine-Tuning or Fine-Failing? Debunking Performance Myths in Large Language Models
Epidemic Threshold in Dynamic Switching Networks
Limiting one-way distillable secret key via privacy testing of extendible states
CECM: A continuous empirical cubature method with application to the dimensional hyperreduction of parameterized finite element models
Performance Analysis based on Density Evolution on Fault Erasure Belief Propagation Decoder
A Reactive performance-based Shared Control Framework for Assistive Robotic Manipulators
Thinging the Use Case Model
Can defects be fixed with weak test suites? An analysis of 50 defects from Defects4J
Toward an Automatic System for Computer-Aided Assessment in Facial Palsy
Performance Comparisions of ICA Algorithms to DS-CDMA Detection
Neighborhood approximations for non-linear voter models
A Plan For Curating "Obsolete Data or Resources"
Marco-ASR: A Principled and Metric-Driven Framework for Fine-Tuning Large-Scale ASR Models for Domain Adaptation
FAPIS: A Few-shot Anchor-free Part-based Instance Segmenter
A study of uncompensated latency in ADS-B reports
A Polynomial Chaos Approach to Stochastic LQ Optimal Control: Error Bounds and Infinite-Horizon Results
LiFT: Lightweight, FPGA-tailored 3D object detection based on LiDAR data
Generalizations of Wei's Duality Theorem
Certifiable Mutual Localization and Trajectory Planning for Bearing-Based Robot Swarm
Approximation with Neural Networks in Variable Lebesgue Spaces