yusuke1997/dblp-id-title huggingface dataset:
Short sighted deep learning
Tada-DIP: Input-adaptive Deep Image Prior for One-shot 3D Image Reconstruction
Tipping Points, Pulse Elasticity and Tonal Tension: An Empirical Study on What Generates Tipping Points
Case Studies of Causal Discovery from IT Monitoring Time Series
Towards Real-Time Search Planning in Subsea Environments
Impact of white Gaussian internal noise on analog echo-state neural networks
Financial Risk Relation Identification through Dual-view Adaptation
Active Learning to Guide Labeling Efforts for Question Difficulty Estimation
JU-NLP at Touché: Covert Advertisement in Conversational AI-Generation and Detection Strategies
Extending AdamW by Leveraging Its Second Moment and Magnitude
ReinWiFi: A Reinforcement-Learning-Based Framework for the Application-Layer QoS Optimization of WiFi Networks
Enhanced Methods for the Weight Constrained Shortest Path Problem: Constrained Path Finding Meets Bi-objective Search
Stabilizing Machine Learning for Reproducible and Explainable Results: A Novel Validation Approach to Subject-Specific Insights
Information Retrieval Meets Large Language Models: A Strategic Report from Chinese IR Community
Pre and Post Counting for Scalable Statistical-Relational Model Discovery
Statistical Machine Learning for Astronomy - A Textbook
TSAM: Temporal Link Prediction in Directed Networks based on Self-Attention Mechanism
A Radiomics-Incorporated Deep Ensemble Learning Model for Multi-Parametric MRI-based Glioma Segmentation
Performance evaluation of energy detector over generalized non-linear and shadowed composite fading channels using a Mixture Gamma Distribution
Expressing Sparse Matrix Computations for Productive Performance on Spatial Architectures
Vega: A 10-Core SoC for IoT End-Nodes with DNN Acceleration and Cognitive Wake-Up From MRAM-Based State-Retentive Sleep Mode
Sparse Maximum-Entropy Random Graphs with a Given Power-Law Degree Distribution
A Batch-Insensitive Dynamic GNN Approach to Address Temporal Discontinuity in Graph Streams
Hybrid Context Retrieval Augmented Generation Pipeline: LLM-Augmented Knowledge Graphs and Vector Database for Accreditation Reporting Assistance
Sharpe Ratio Optimization in Markov Decision Processes
Analysis-Aware Defeaturing of Dirichlet Features
A semantic cache for enhancing Web services communities activities: Health care case study
Abstract Syntax Tree for Programming Language Understanding and Representation: How Far Are We?
The Covid19Impact Survey: Assessing the Pulse of the COVID-19 Pandemic in Spain via 24 questions
Collaborative Learning-Enhanced Lightweight Models for Predicting Arterial Blood Pressure Waveform in a Large-scale Perioperative Dataset
Extending Prediction-Powered Inference through Conformal Prediction
Glaucoma Detection and Structured OCT Report Generation via a Fine-tuned Multimodal Large Language Model
On iterative methods based on Sherman-Morrison-Woodbury regular splitting
Performance Analysis of Massive MIMO Networks with Random Unitary Pilot Matrices
Technical Notes on Complexity of the Satisfiability Problem
TPMCF: Temporal QoS Prediction using Multi-Source Collaborative Features
OST-Bench: Evaluating the Capabilities of MLLMs in Online Spatio-temporal Scene Understanding
3DSceneEditor: Controllable 3D Scene Editing with Gaussian Splatting
Autonomous Exploration-Based Precise Mapping for Mobile Robots through Stepwise and Consistent Motions
Performance analysis of the Kahan-enhanced scalar product on current multi- and manycore processors
Enhancing Large Vision-Language Models with Layout Modality for Table Question Answering on Japanese Annual Securities Reports
Recurrent Feature Propagation and Edge Skip-Connections for Automatic Abdominal Organ Segmentation
Learning distributions of shape trajectories from longitudinal datasets: a hierarchical model on a manifold of diffeomorphisms
Efficient LiDAR Bundle Adjustment for Multi-Scan Alignment Utilizing Continuous-Time Trajectories
Structured Production System (extended abstract)
A Queue-oriented Transaction Processing Paradigm
AI & Racial Equity: Understanding Sentiment Analysis Artificial Intelligence, Data Security, and Systemic Theory in Criminal Justice Systems
AI Expands Scientists' Impact but Contracts Science's Focus
AdaMix: Mixture-of-Adapter for Parameter-efficient Tuning of Large Language Models
Improved Approximations for CVRP with Unsplittable Demands
Act-as-Pet: Benchmarking the Abilities of Large Language Models as E-Pets in Social Network Services
Vital Node Identification in Complex Networks Using a Machine Learning-Based Approach
Exploring Non-Autoregressive End-To-End Neural Modeling For English Mispronunciation Detection And Diagnosis
Uncertainty in Extreme Multi-label Classification
The algebro-geometric study of range maps
Unsupervised 3D registration through optimization-guided cyclical self-training
Gen-DFL: Decision-Focused Generative Learning for Robust Decision Making
Solving Diffusion Inverse Problems with Restart Posterior Sampling
Particle Swarm Optimization for Quantum Circuit Synthesis: Performance Analysis and Insights
BAMSim Simulator
Shifting Polarization and Twitter News Influencers between two U.S. Presidential Elections
DSGG: Dense Relation Transformer for an End-to-end Scene Graph Generation
Neural Network iLQR: A New Reinforcement Learning Architecture
Improving reinforcement learning algorithms: towards optimal learning rate policies
Anisotropic, Sparse and Interpretable Physics-Informed Neural Networks for PDEs
LP decoding of expander codes: a simpler proof
Multi-label classification search space in the MEKA software
Self-Supervised Learning for Domain Adaptation on Point-Clouds
An Experimental Study of the Treewidth of Real-World Graph Data (Extended Version)
Dynamic DNNs and Runtime Management for Efficient Inference on Mobile/Embedded Devices
Secure Offloading in NOMA-Aided Aerial MEC Systems Based on Deep Reinforcement Learning
A simple data discretizer
WSESeg: Introducing a Dataset for the Segmentation of Winter Sports Equipment with a Baseline for Interactive Segmentation
Bases of T-meshes and the refinement of hierarchical B-splines
Relaxing Graph Transformers for Adversarial Attacks
ASRC-SNN: Adaptive Skip Recurrent Connection Spiking Neural Network
A theoretical basis for efficient computations with noisy spiking neurons
Geometry-Aware Spiking Graph Neural Network
Human-AI Co-Embodied Intelligence for Scientific Experimentation and Manufacturing
Dynamic Labeling for Unlabeled Graph Neural Networks
Uncertainty-Aware Learning for Improvements in Image Quality of the Canada-France-Hawaii Telescope
Temporal-consistent CAMs for Weakly Supervised Video Segmentation in Waste Sorting
Emotion Recognition from Speech Using Wav2vec 2.0 Embeddings
Path Loss and Shadowing Modeling for Vehicle-to-Vehicle Communications in Terrestrial TV Band
Circulant temporal encoding for video retrieval and temporal alignment
Probabilistic Insights for Efficient Exploration Strategies in Reinforcement Learning
A General Euclidean Geometric Representation for the Classical Detection Theory
A Goal-Oriented Adaptive Sampling Procedure for Projection-Based Reduced-Order Models with Hyperreduction
Prediction Accuracy & Reliability: Classification and Object Localization under Distribution Shift
Training multi-objective/multi-task collocation physics-informed neural network with student/teachers transfer learnings
Walsh Sampling with Incomplete Noisy Signals
Towards a Backdoorless Network Architecture Based on Remote Attestation and Backdoor Inspection
RadVR: A 6DOF Virtual Reality Daylighting Analysis Tool
Provably More Efficient Q-Learning in the Full-Feedback/One-Sided-Feedback Settings
Optimizing Spot Instance Reliability and Security Using Cloud-Native Data and Tools
Discrete calculus with cubic cells on discrete manifolds
Optimizing Stroke Risk Prediction: A Machine Learning Pipeline Combining ROS-Balanced Ensembles and XAI
Proofs and Performance Evaluation of Greedy Multi-Channel Neighbor Discovery Approaches
The Mental World of Large Language Models in Recommendation: A Benchmark on Association, Personalization, and Knowledgeability
HiMemFormer: Hierarchical Memory-Aware Transformer for Multi-Agent Action Anticipation
Distractor-aware Event-based Tracking
Achieving Reliable Causal Inference with Data-Mined Variables: A Random Forest Approach to the Measurement Error Problem
Engineering-Economic Evaluation of Diffractive Non-Line-Of-Sight Backhaul (e3nb): A Techno-economic Model for 3D Wireless Backhaul Assessment
Runge-Kutta Methods and Stiff Order Conditions for Semilinear ODEs
Notes About a More Aware Dependency Parser
Security-Constrained Optimal Operation of Energy-Water Nexus based on a Fast Contingency Filtering Method
Realistic Multimedia Tools based on Physical Models: I. The Spectrum Analyzer and Animator (SA2)
Bridging the gap between modal temporal logics and constraint-based QSR as an ALC(D) spatio-temporalisation with weakly cyclic TBoxes
Uncertainty-aware Surrogate Models for Airfoil Flow Simulations with Denoising Diffusion Probabilistic Models
A Clustering and Demotion Based Algorithm for Inductive Learning of Default Theories
CaT-GNN: Enhancing Credit Card Fraud Detection via Causal Temporal Graph Neural Networks
A discretization-free sparse and parametric approach for linear array signal processing
On the Use of Audio to Improve Dialogue Policies
Hybrid Temporal-8-Bit Spike Coding for Spiking Neural Network Surrogate Training
Overview and Prospects of Using Integer Surrogate Keys for Data Warehouse Performance Optimization
WeatherGFM: Learning A Weather Generalist Foundation Model via In-context Learning
Experimental evaluation of kernelization algorithms to Dominating Set
Structure-Guided Diffusion Models for High-Fidelity Portrait Shadow Removal
Chance-Constrained Model Predictive Control A reformulated approach suitable for sewer networks
TransClaw U-Net: Claw U-Net with Transformers for Medical Image Segmentation
Semi-supervised Implicit Scene Completion from Sparse LiDAR
Transferring Graph Neural Networks for Soft Sensor Modeling using Process Topologies
Deep grading for MRI-based differential diagnosis of Alzheimer's disease and Frontotemporal dementia
Mid-level Representation for Visual Recognition
Streaming algorithms for products of probabilities
Faster Clustering via Non-Backtracking Random Walks
On the optimal stacking of noisy observations
ORCA: A Network and Architecture Co-design for Offloading us-scale Datacenter Applications
Helping LLMs Improve Code Generation Using Feedback from Testing and Static Analysis
Aplicando diferencias finitas para resolver ecuaciones y sistemas de ecuaciones diferenciales parciales sobre dominios planos irregulares simplemente conexos y no conexos
Foundations of Structural Statistics: Statistical Manifolds
MHNF: Multi-hop Heterogeneous Neighborhood information Fusion graph representation learning
Capturing the Dynamics of Pedestrian Traffic Using a Machine Vision System
On a class of intersection graphs
Back from the future: bidirectional CTC decoding using future information in speech recognition
Connectivity in Dense Networks Confined within Right Prisms
Differentially Private High Dimensional Sparse Covariance Matrix Estimation
Efficient Minimization of Higher Order Submodular Functions using Monotonic Boolean Functions
A τ Matrix Based Approximate Inverse Preconditioning for Tempered Fractional Diffusion Equations
Deposition Rates in Thermal Laser Epitaxy: Simulation and Experiment
AG 2 aussian: Anchor-Graph Structured Gaussian Splatting for Instance-Level 3D Scene Understanding and Editing
A Wrinkling Model for General Hyperelastic Materials based on Tension Field Theory
Generation of cubic graphs and snarks with large girth
Leveraging eBPF and AI for Ransomware Nose Out
Towards Unsupervised Automatic Speech Recognition Trained by Unaligned Speech and Text only
Machine Learning based Post Event Analysis for Cybersecurity of Cyber-Physical System
Knowledge Ratings in MetaboLights
Lattice Green's Functions for High Order Finite Difference Stencils
Capacity Region of Multiple Access Channel with States Known Noncausally at One Encoder and Only Strictly Causally at the Other Encoder
CmFNet: Cross-modal Fusion Network for Weakly-supervised Segmentation of Medical Images
A Framework for Understanding Model Extraction Attack and Defense
Cross-domain Recommendation via Deep Domain Adaptation
Just Go with the Flow: Self-Supervised Scene Flow Estimation
De-confounded Data-free Knowledge Distillation for Handling Distribution Shifts
Depth-Wise Activation Steering for Honest Language Models
Variance-Aware Noisy Training: Hardening DNNs against Unstable Analog Computations
Revisiting Model Interpolation for Efficient Reasoning
Few-shot Learner Parameterization by Diffusion Time-steps
Joint Tx/Rx Energy-Efficient Scheduling in Multi-Radio Networks: A Divide-and-Conque Approach
ROSA: Random Subspace Adaptation for Efficient Fine-Tuning
Collective intelligence in Massive Online Dialogues
Understanding (Un)Intended Memorization in Text-to-Image Generative Models
XAV: A High-Performance Regular Expression Matching Engine for Packet Processing
Propagation-aware Social Recommendation by Transfer Learning
CRACQ: A Multi-Dimensional Approach To Automated Document Assessment
Inconsistency of evaluation metrics in link prediction
Recovering WPA-3 Network Password by Bypassing the Simultaneous Authentication of Equals Handshake using Social Engineering Captive Portal
Towards Human-Compatible XAI: Explaining Data Differentials with Concept Induction over Background Knowledge
Assessing the Utility of Weather Data for Photovoltaic Power Prediction
Algebraic structure of F q -linear conjucyclic codes over finite field F q 2
Bertrand Networks
DynScaling: Efficient Verifier-free Inference Scaling via Dynamic and Integrated Sampling
FanStore: Enabling Efficient and Scalable I/O for Distributed Deep Learning
A Comprehensive Survey on Networking over TV White Spaces
Recovering the state and dynamics of autonomous system with partial states solution using neural networks
DiffEye: Diffusion-Based Continuous Eye-Tracking Data Generation Conditioned on Natural Images
SAD-GAN: Synthetic Autonomous Driving using Generative Adversarial Networks
Efficient Solution and Learning of Robust Factored MDPs
SoK: A Defense-Oriented Evaluation of Software Supply Chain Security
An Analysis of the Differences Among Regional Varieties of Chinese in Malay Archipelago
GRAVER: Generative Graph Vocabularies for Robust Graph Foundation Models Fine-tuning
Differentiation methods as a systematic uncertainty source in equation discovery
The Impact of AI on Academic Research and Publishing
Accelerating the Kamada-Kawai algorithm for boundary detection in a mobile ad hoc network
DCOOL-NET: Distributed cooperative localization for sensor networks
A Stochastic Analysis of the Linguistic Provenance of English Place Names
Ontology Enrichment by Extracting Hidden Assertional Knowledge from Text
Delay-aware and Energy-Efficient Computation Offloading in Mobile Edge Computing Using Deep Reinforcement Learning
A Case For Amplify-Forward Relaying in the Block-Fading Multi-Access Channel
On-the-fly coding for time-constrained applications
An Alternative Surrogate Loss for PGD-based Adversarial Testing
VideoEval-Pro: Robust and Realistic Long Video Understanding Evaluation
Dynamic VLM-Guided Negative Prompting for Diffusion Models
Understanding and Predicting Human Label Variation in Natural Language Inference through Explanation
Clausal Analysis of First-order Proof Schemata
Integration of SOA and Cloud Computing in RM-ODP
Test-Time Scaling with Repeated Sampling Improves Multilingual Text Generation
Identification of Abnormality in Maize Plants From UAV Images Using Deep Learning Approaches
ChatGPT: ascertaining the self-evident. The use of AI in generating human knowledge
Structure-Preference Enabled Graph Embedding Generation under Differential Privacy
DiffSoundStream: Efficient Speech Tokenization via Diffusion Decoding
Discriminative Experience Replay for Efficient Multi-agent Reinforcement Learning
A Computed Tomography Vertebral Segmentation Dataset with Anatomical Variations and Multi-Vendor Scanner Data
TAPAS: Train-less Accuracy Predictor for Architecture Search
Information-Theoretic Security for the Masses
Self-supervised Transformer for Deepfake Detection
Practical programming research of Linear DML model based on the simplest Python code: From the standpoint of novice researchers
K 2 VAE: A Koopman-Kalman Enhanced Variational AutoEncoder for Probabilistic Time Series Forecasting
Unlock Multi-Modal Capability of Dense Retrieval via Visual Module Plugin
Mobile-Env: A Universal Platform for Training and Evaluation of Mobile Interaction
Sinkhorn Algorithm for Sequentially Composed Optimal Transports
Content Confidentiality in Named Data Networking
Saving SWE-Bench: A Benchmark Mutation Approach for Realistic Agent Evaluation
Detecting Facial Image Manipulations with Multi-Layer CNN Models
Learning Efficient Representations of Neutrino Telescope Events
Differentiable Scripting
Remote State Estimation of Multiple Systems over Multiple Markov Fading Channels
FVQA: Fact-based Visual Question Answering
Boosting Knowledge Graph-based Recommendations through Confidence-Aware Augmentation with Large Language Models
Convolution Idempotents with a given Zero-set
A Machine Learning Approach for Modelling Parking Duration in Urban Land-use
Feature Partitioning and Semantic Equalization for Intrinsic Robustness in Semantic Communication under Packet Loss
StreamAvatar: Streaming Diffusion Models for Real-Time Interactive Human Avatars
Mixture of experts models for multilevel data: modelling framework and approximation theory
Reinforcement Learning Increases Wind Farm Power Production by Enabling Closed-Loop Collaborative Control
Privacy-preserving Health Data Sharing for Medical Cyber-Physical Systems
Numerical stability and efficiency of response property calculations in density functional theory
An Existence Theorem of Nash Equilibrium in Coq and Isabelle
Improved Upper Bounds on a'(G☐H)
My Answer Is NOT 'Fair': Mitigating Social Bias in Vision-Language Models via Fair and Biased Residuals
Combining dissimilarity measure for the study of evolution in scientific fields
CoEx - Co-evolving World-model and Exploration
Federated Linear Bandit Learning via Over-the-Air Computation
GPS-Denied Navigation Using Low-Cost Inertial Sensors and Recurrent Neural Networks
Taylor-Sensus Network: Embracing Noise to Enlighten Uncertainty for Scientific Data
Feasible Actor-Critic: Constrained Reinforcement Learning for Ensuring Statewise Safety
Habitat classification from satellite observations with sparse annotations
Reflexivity in Issues of Scale and Representation in a Digital Humanities Project
Interaction Graphs for Reliability Analysis of Power Grids: A Survey
Co-occurrence Based Texture Synthesis
Event-based Motion Deblurring via Multi-Temporal Granularity Fusion
Fuzzy Aristotelian Diagrams
Tapering Analysis of Airways with Bronchiectasis
Fundamental Limits of Throughput and Availability: Applications to prophet inequalities & transaction fee mechanism design
Forecasting, filtering, and reconstruction of stochastic stationary signals using discrete-time reservoir computers
A Provably, Linear Time, In-place and Stable Merge Algorithm via the Perfect Shuffle
An implementation of a randomized algorithm for principal component analysis
Designing Human and Generative AI Collaboration
A Generalized Mixed-Integer Convex Program for Multilegged Footstep Planning on Uneven Terrain
When Schrödinger Bridge Meets Real-World Image Dehazing with Unpaired Training
Evaluating AI cyber capabilities with crowdsourced elicitation
Europepolls: A Dataset of Country-Level Opinion Polling Data for the European Union and the UK
Benchmarking Natural Language Understanding Services for building Conversational Agents
DST-TransitNet: A Dynamic Spatio-Temporal Deep Learning Model for Scalable and Efficient Network-Wide Prediction of Station-Level Transit Ridership
Concurrent Constraint Conditional-Branching Timed Interactive Scores
Rigorous Simulation-based Testing for Autonomous Driving Systems - Targeting the Achilles' Heel of Four Open Autopilots
Personalized On-line Adaptation of Kinematic Synergies for Human-Prosthesis Interfaces
Gaussian-Process-based Adaptive Tracking Control with Dynamic Active Learning for Autonomous Ground Vehicles
Nuclei Instance Segmentation of Cryosectioned H&E Stained Histological Images using Triple U-Net Architecture
On Constraint-Based Lambek Calculi
Multi-Agent Q-Learning for Minimizing Demand-Supply Power Deficit in Microgrids
A Case for Competent AI Systems - A Concept Note
Should ΔΣ Modulators Used in AC Motor Drives be Adapted to the Mechanical Load of the Motor?
Scalable Defect Detection via Traversal on Code Graph
Time and Tokens: Benchmarking End-to-End Speech Dysfluency Detection
MPC path-planner for autonomous driving solved by genetic algorithm technique
End-to-end Sampling Patterns
Can phase change materials in building insulation improve self-consumption of residential rooftop solar? An Australian case study
Improving Object Detection Performance through YOLOv8: A Comprehensive Training and Evaluation Study
A quasi-polynomial time algorithm for Multi-Dimensional Scaling via LP hierarchies
Quantum Advantage in Variational Bayes Inference
Geo-DefakeHop: High-Performance Geographic Fake Image Detection
Flexible Visual Quality Inspection in Discrete Manufacturing
Online Binaural Speech Separation of Moving Speakers With a Wavesplit Network
Multiobjective Ranking and Selection Using Stochastic Kriging
Channel Reconstruction for SVD-ZF Precoding in Massive 3D-MIMO Systems Low-Complexity Algorithm
Characterizing Interest Aggregation in Content-Centric Networks
Regular languages defined by first-order formulas without quantifier alternation
On the identifiability of causal graphs with multiple environments
On the Impact of Smartification Strategies for the State Estimation of Low Voltage Grids
DeepEDN: A Deep Learning-based Image Encryption and Decryption Network for Internet of Medical Things
Performance Trade-offs of Optimizing Small Language Models for E-Commerce
Single chip photonic deep neural network with accelerated training
Fuzzy Logic Control Based QoS Management in Wireless Sensor/Actuator Networks
A Privacy Preserving System for Movie Recommendations using Federated Learning
Bio-inspired Intelligence with Applications to Robotics: A Survey
Real-time Outdoor Localization Using Radio Maps: A Deep Learning Approach
Distinguishing mirror from glass: A 'big data' approach to material perception
A GRASP algorithm for the Meal Delivery Routing Problem
Applying Artificial Intelligence and Internet Techniques in Rural Tourism Domain
Defending Against Model Stealing Attacks with Adaptive Misinformation
Chaining Bounds for Empirical Risk Minimization
On Church's Thesis in Cubical Assemblies
OR-NeRF: Object Removing from 3D Scenes Guided by Multiview Segmentation with Neural Radiance Fields
Cross-Lingual Adaptation using Structural Correspondence Learning
Utilization of Virtual Reality Visualizations on Heavy Mobile Crane Planning for Modular Construction
A Self-Supervised Method for Body Part Segmentation and Keypoint Detection of Rat Images
Scaling Test-Time Compute to Achieve IOI Gold Medal with Open-Weight Models
GIID-Net: Generalizable Image Inpainting Detection via Neural Architecture Search and Attention
PERFECT: A Hyperbolic Embedding for Joint User and Community Alignment
Stability control for USVs with SINDY-based online dynamic model update
Privacy-Enhanced Reputation-Feedback Methods to Reduce Feedback Extortion in Online Auctions
Using Two Losses and Two Datasets Simultaneously to Improve TempoWiC Accuracy
Emitter Localisation from Reception Timestamps in Asynchronous Networks
A Robust Controller for Stable 3D Pinching using Tactile Sensing
Theoretical results on a block preconditioner used in ice-sheet modeling: eigenvalue bounds for singular power-law fluids
An Algorithm-Centered Approach To Model Streaming Data
Pass-Efficient Randomized LU Algorithms for Computing Low-Rank Matrix Approximation
ResNCT: A Deep Learning Model for the Synthesis of Nephrographic Phase Images in CT Urography
XX t Can Be Faster