yusuke1997/dblp-id-title huggingface dataset:
On the Binary Symmetric Channel with a Transition Probability Determined by a Poisson Distribution
Joint Prediction of Monocular Depth and Structure using Planar and Parallax Geometry
Beyond Community Notes: A Framework for Understanding and Building Crowdsourced Context Systems
Implementing an Automatic Differentiator in ACL2
Cyber-Insurance in Internet Security: A Dig into the Information Asymmetry Problem
Discovering universal statistical laws of complex networks
Equitability, interval estimation, and statistical power
Multi-Stream Keypoint Attention Network for Sign Language Recognition and Translation
Exploring the Generality of a Java-based Loop Action Model for the Quorum Programming Language
Coded Computing for Fault-Tolerant Parallel QR Decomposition
On semi-separability and differentiation matrices
What happens when a journal converts to Open Access? A bibliometric analysis
Successive Data Injection in Conditional Quantum GAN Applied to Time Series Anomaly Detection
Distributed solving through model splitting
Relation-Aware Distribution Representation Network for Person Clustering with Multiple Modalities
Synthetic Poisoning Attacks: The Impact of Poisoned MRI Image on U-Net Brain Tumor Segmentation
Isometric deformable cones and cylinders carrying planar curves
Detector-SegMentor Network for Skin Lesion Localization and Segmentation
Efficient pooling designs and screening performance in group testing for two type defectives
A computational model of infant sensorimotor exploration in the mobile paradigm
Improving Collaborative Filtering based Recommenders using Topic Modelling
Socially Aware Robot Crowd Navigation with Interaction Graphs and Human Trajectory Prediction
Bilingual Topic Models for Comparable Corpora
Image Forgery Localization Based on Multi-Scale Convolutional Neural Networks
Chaining thoughts and LLMs to learn DNA structural biophysics
Evaluating Voice Command Pipelines for Drone Control: From STT and LLM to Direct Classification and Siamese Networks
Markerless 3D human pose tracking through multiple cameras and AI: Enabling high accuracy, robustness, and real-time performance
RTAB-Map as an Open-Source Lidar and Visual SLAM Library for Large-Scale and Long-Term Online Operation
Real-Time and Robust 3D Object Detection Within Road-Side LiDARs Using Domain Adaptation
Gen-AI Police Sketches with Stable Diffusion
Instance Brownian Bridge as Texts for Open-vocabulary Video Instance Segmentation
Automatic Bill of Materials
Learning from Convolution-based Unlearnable Datastes
A mechanism for balancing accuracy and scope in cross-machine black-box GPU performance modeling
Cross-Cluster Weighted Forests
An Improved Algorithm for Finding Maximum Outerplanar Subgraphs
On Adaptivity in Information-constrained Online Learning
Chambolle-Pock's Primal-Dual Method with Mismatched Adjoint
EC-Diff: Fast and High-Quality Edge-Cloud Collaborative Inference for Diffusion Models
A Constant-Approximation Algorithm for Budgeted Sweep Coverage with Mobile Sensors
A Study of the Separating Property in Reed-Solomon Codes by Bounding the Minimum Distance
Learning a time-dependent master saliency map from eye-tracking data in videos
GLC++: Source-Free Universal Domain Adaptation through Global-Local Clustering and Contrastive Affinity Learning
Code Review Automation using Retrieval Augmented Generation
Q-Pilot: Field Programmable Quantum Array Compilation with Flying Ancillas
Depth Assisted Full Resolution Network for Single Image-based View Synthesis
Attention-based sequential recommendation system using multimodal data
Correlation Measure Equivalence in Dynamic Causal Structures
Field- and time-normalization of zero-inflated data: An empirical analysis using citation and Twitter data
Quantifying Multilingual Performance of Large Language Models Across Languages
Force-Sensor-Less Bilateral Teleoperation Control of Dissimilar Master-Slave System with Arbitrary Scaling
What Gives the Answer Away? Question Answering Bias Analysis on Video QA Datasets
The Research Space: using the career paths of scholars to predict the evolution of the research output of individuals, institutions, and nations
Semantics-Consistent Cross-domain Summarization via Optimal Transport Alignment
Discovering and Leveraging the Most Valuable Links for Ranking
Iterative Learning for Instance Segmentation
Towards a high-performance AI compiler with upstream MLIR
Who Is the Story About? Protagonist Entity Recognition in News
Decisive Data using Multi-Modality Optical Sensors for Advanced Vehicular Systems
Building Brain Invaders: EEG data of an experimental validation
Automatic Modeling of Social Concepts Evoked by Art Images as Multimodal Frames
Super-localized orthogonal decomposition for convection-dominated diffusion problems
Context Discovery for Model Learning in Partially Observable Environments
A survey on deep hashing for image retrieval
OASYS: Domain-Agnostic Automated System for Constructing Knowledge Base from Unstructured Text
Semantic Stability in Social Tagging Streams
Performance Limits of a Cloud Radio
Scalable and Sparsity-Aware Privacy-Preserving K-means Clustering with Application to Fraud Detection
Playing Language Game with LLMs Leads to Jailbreaking
Latent Dirichlet Allocation (LDA) and Topic modeling: models, applications, a survey
Policy Learning with Abstention
Charge-voltage relation for a universal capacitor
Constrained Bayesian Optimization with Max-Value Entropy Search
Invariant Factorization Of Time-Series
Generative Organizational Behavior Simulation using Large Language Model based Autonomous Agents: A Holacracy Perspective
A review of the security role of ISP mandated ONUs and ONTs in GPONs
Complexity of propositional Linear-time Temporal Logic with finitely many variables
Parameter estimation in fluid flow models from undersampled frequency space data
Few-Shot Learning with Embedded Class Models and Shot-Free Meta Training
On the Performance of Adaptive Packetized Wireless Communication Links under Jamming
Epidemic Thresholds of Infectious Diseases on Tie-Decay Networks
Evaluation of Anonymized ONS Queries
Calibration of the 5G-LENA System Level Simulator in 3GPP reference scenarios
Large Language Models for Forecasting and Anomaly Detection: A Systematic Literature Review
PersonMAE: Person Re-Identification Pre-Training with Masked AutoEncoders
PIXOR: Real-time 3D Object Detection from Point Clouds
DART: Dual-level Autonomous Robotic Topology for Efficient Exploration in Unknown Environments
Fuzzy Forests For Feature Selection in High-Dimensional Survey Data: An Application to the 2020 U.S. Presidential Election
Composite FORCE learning of chaotic echo state networks for time-series prediction
Streamlining Ocean Dynamics Modeling with Fourier Neural Operators: A Multiobjective Hyperparameter and Architecture Optimization Approach
GnetSeg: Semantic Segmentation Model Optimized on a 224mW CNN Accelerator Chip at the Speed of 318FPS
Generalization Bounds via Conditional f -Information
Towards Fast and Scalable Normal Integration using Continuous Components
SecDD: Efficient and Secure Method for Remotely Training Neural Networks
Fragility of spectral clustering for networks with an overlapping structure
Efficient Constant-Space Multi-Vector Retrieval
Short-Range Dependency Effects on Transformer Instability and a Decomposed Attention Solution
Zero-shot reasoning for simulating scholarly peer-review
Estimation of Bandlimited Signals in Additive Gaussian Noise: a "Precision Indifference" Principle
Sleep-time Compute: Beyond Inference Scaling at Test-time
Varlets: Additive Decomposition, Topological Total Variation, and Filtering of Scalar Fields
Can You Trust Your Model's Uncertainty? Evaluating Predictive Uncertainty Under Dataset Shift
Circularly squarefree words and unbordered conjugates: a new approach
Evaluating Large Language Models in Ophthalmology
The long-term dynamics of co-authorship scientific networks, Iberoamerican Countries (1973-2006)
The Full Rights Dilemma for A.I. Systems of Debatable Personhood
Six-Degree-of-Freedom Motion Emulation for Data-Driven Modeling of Underwater Vehicles
Information Bottlenecks, Causal States, and Statistical Relevance Bases: How to Represent Relevant Information in Memoryless Transduction
Zero-Error Distributed Function Compression for Binary Arithmetic Sum
Public Transportation Demand Analysis: A Case Study of Metropolitan Lagos
Nobody but You: Sensor Selection for Voltage Regulation in Smart Grid
Always Valid Risk Monitoring for Online Matrix Completion
H-SGANet: Hybrid Sparse Graph Attention Network for Deformable Medical Image Registration
Traffic Delay Reduction at Highway Diverges Using an Advance Warning System Based on a Probabilistic Prediction Model
Deciding not to Decide: Sound and Complete Effect Inference in the Presence of Higher-Rank Polymorphism
DIVD: Deblurring with Improved Video Diffusion Model
Smart Channel State Information Pre-processing for Joint Authentication and Secret Key Distillation
GedankenNet: Self-supervised learning of hologram reconstruction using physics consistency
Data-driven reduced-order models via regularized operator inference for a single-injector combustion process
"It's Viral!" - A study of the behaviors, practices, and motivations of TikTok Social Activists
Unsupervised Domain Adaptive Person Re-Identification via Human Learning Imitation
A Labeled Ophthalmic Ultrasound Dataset with Medical Report Generation Based on Cross-modal Deep Learning
On the relation between graph distance and Euclidean distance in random geometric graphs
Optimal Task Scheduling Benefits From a Duplicate-Free State-Space
Identifying Cause-and-Effect Relationships of Manufacturing Errors using Sequence-to-Sequence Learning
Using Voltage Phasor Control to Avoid Distribution Network Constraint Violations
Computing the Lyapunov operator \varphi-functions, with an application to matrix-valued exponential integrators
Approximation Rates for Shallow ReLU k Neural Networks on Sobolev Spaces via the Radon Transform
Resource sharing in wireless networks with co-location
The power of linear programming for valued CSPs: a constructive characterization
A Matching Game for Data Trading in Operator-Supervised User-Provided Networks
A numerical method for computing the overall response of nonlinear composites with complex microstructure
An Enhanced Text Classification to Explore Health based Indian Government Policy Tweets
Planning with Incomplete Information
Inverse Q-Learning Done Right: Offline Imitation Learning in Q π -Realizable MDPs
Spatially-Coupled Codes and Threshold Saturation on Intersymbol-Interference Channels
ChemAgent: Self-updating Library in Large Language Models Improves Chemical Reasoning
From Coarse to Fine: Recursive Audio-Visual Semantic Enhancement for Speech Separation
AMSA-UNet: An Asymmetric Multiple Scales U-net Based on Self-attention for Deblurring
Comprehensive Evaluation of Multimodal AI Models in Medical Imaging Diagnosis: From Data Augmentation to Preference-Based Comparison
The Effect of Optimal Self-Distillation in Noisy Gaussian Mixture Model
Guaranteed Evader Detection in Multi-Agent Search Tasks using Pincer Trajectories
An attempt to generate new bridge types from latent space of denoising diffusion Implicit model
GRAPPA-GANs for Parallel MRI Reconstruction
Computer-Aided Design of Personalized Occlusal Positioning Splints Using Multimodal 3D Data
DTNN: Energy-efficient Inference with Dendrite Tree Inspired Neural Networks for Edge Vision Applications
Technical Report for Argoverse2 Scenario Mining Challenges on Iterative Error Correction and Spatially-Aware Prompting
BIFRÖST: 3D-Aware Image compositing with Language Instructions
Graph partitioning advance clustering technique
Improving Robustness on Seasonality-Heavy Multivariate Time Series Anomaly Detection
Question Embeddings Based on Shannon Entropy: Solving intent classification task in goal-oriented dialogue system
Accuracy and stability of solar variable selection comparison under complicated dependence structures
Eye Disease Classification Using Deep Learning Techniques
A New Execution Model for the logic of hereditary Harrop formulas
CTR-Driven Ad Text Generation via Online Feedback Preference Optimization
GIEBench: Towards Holistic Evaluation of Group Identity-based Empathy for Large Language Models
Can scientists and their institutions become their own open access publishers?
Design and Implementation of Fixtures for Milling,Shaping and Drilling Operations
SiNC+: Adaptive Camera-Based Vitals with Unsupervised Learning of Periodic Signals
QuantFactor REINFORCE: Mining Steady Formulaic Alpha Factors with Variance-bounded REINFORCE
A note on the structure of locally finite planar quasi-transitive graphs
Tag and correct: high precision post-editing approach to correction of speech recognition errors
MEBoost: Mixing Estimators with Boosting for Imbalanced Data Classification
On a simplified version of Hadamard's maximal determinant problem
Deterministic Medical Image Translation via High-fidelity Brownian Bridges
HyperMask: Adaptive Hypernetwork-based Masks for Continual Learning
DIAR: Diffusion-model-guided Implicit Q-learning with Adaptive Revaluation
LowDINO - A Low Parameter Self Supervised Learning Model
Enhanced 3D Human Pose Estimation from Videos by using Attention-Based Neural Network with Dilated Convolutions
Evaluating the Retrieval Component in LLM-Based Question Answering Systems
Studying Generalization Through Data Averaging
HiRIS: an Airborne Sonar Sensor with a 1024 Channel Microphone Array for In-Air Acoustic Imaging
FDA3 : Federated Defense Against Adversarial Attacks for Cloud-Based IIoT Applications
ImportSnare: Directed "Code Manual" Hijacking in Retrieval-Augmented Code Generation
Can Q-Learning be Improved with Advice?
A training regime to learn unified representations from complementary breast imaging modalities
A Novel Spatiotemporal Coupling Graph Convolutional Network
Enhanced 5G/B5G Network Planning/Optimization deploying RIS in Urban/Outdoor Scenarios
Towards Theoretical Understanding of Data-Driven Policy Refinement
Achieving 100X faster simulations of complex biological phenomena by coupling ML to HPC ensembles
Achieving a quantum smart workforce
PseudoNeg-MAE: Self-Supervised Point Cloud Learning using Conditional Pseudo-Negative Embeddings
Reconfigurable Intelligent Sensing Surface aided Wireless Powered Communication Networks: A Sensing-Then-Reflecting Approach
Criteria and Tips for Choosing Suitable Journal for Your Paper
FastLogAD: Log Anomaly Detection with Mask-Guided Pseudo Anomaly Generation and Discrimination
Dynamical prediction of two meteorological factors using the deep neural network and the long short term memory (1)
Radon-Nikodým Derivative: Re-imagining Anomaly Detection from a Measure Theoretic Perspective
Summation-by-Parts Finite-Difference Method for Linear Shallow Water Equations on Staggered Curvilinear Grids in Closed Domains
Scientific Machine Learning Benchmarks
Actor Database Systems: A Manifesto
Zero-Crossing Precoding With Maximum Distance to the Decision Threshold for Channels With 1-Bit Quantization and Oversampling
Cross validation in sparse linear regression with piecewise continuous nonconvex penalties and its acceleration
Simple Max-Min Ant Systems and the Optimization of Linear Pseudo-Boolean Functions
Spatial Conformal Inference through Localized Quantile Regression
Learning Robust Bed Making using Deep Imitation Learning with DART
Gradient-based Jailbreak Images for Multimodal Fusion Models
Root Cause Analysis Training for Healthcare Professionals With AI-Powered Virtual Simulation: A Proof-of-Concept
OpenDataArena: A Fair and Open Arena for Benchmarking Post-Training Dataset Value
On a Competitive Selection Problem
PDFNet: Pointwise Dense Flow Network for Urban-Scene Segmentation
Bayesian Intrinsic Groupwise Image Registration: Unsupervised Disentanglement of Anatomy and Geometry
A Graph-Based Reinforcement Learning Approach with Frontier Potential Based Reward for Safe Cluttered Environment Exploration
Attacking and Defending Machine Learning Applications of Public Cloud
3D Mapping of Glacier Moulins: Challenges and lessons learned
Competitive Analysis of Move-to-Front-or-Middle (MFM) Online List Update Algorithm
A Multi-Agent Framework for Extensible Structured Text Generation in PLCs
Interaction Detection Between Vehicles and Vulnerable Road Users: A Deep Generative Approach with Attention
SAGE-LD: Towards Scalable and Generalizable End-to-End Language Diarization via Simulated Data Augmentation
Self-Evidencing Through Hierarchical Gradient Decomposition: A Dissipative System That Maintains Non-Equilibrium Steady-State by Minimizing Variational Free Energy
Bayesian factorization of joint categorical distributions for relational data and classical conditioning models
Crime Scene Re-investigation: A Postmortem Analysis of Game Account Stealers' Behaviors
Modular multi-source prediction of drug side-effects with DruGNN
Exploring Automatic COVID-19 Diagnosis via voice and symptoms from Crowdsourced Data
Comments on CausalEC: A Causally Consistent Data Storage Algorithm Based on Cross-Object Erasure Coding
SplitWise Regression: Stepwise Modeling with Adaptive Dummy Encoding
Overcoming Data and Model Heterogeneities in Decentralized Federated Learning via Synthetic Anchors
AnoNet: Weakly Supervised Anomaly Detection in Textured Surfaces
PEACH: A sentence-aligned Parallel English-Arabic Corpus for Healthcare
Minimum weight codewords in dual Algebraic-Geometric codes from the Giulietti-Korchmáros curve
A Study in a Hybrid Centralised-Swarm Agent Community
(Co)condition hits the Path
Recursive computation of spherical harmonic rotation coefficients of large degree
An unexpected application of minimization theory to module decompositions
Building on Huang et al. GlossBERT for Word Sense Disambiguation
Structurally Stable Properties of Control Systems
Dual-modal Dynamic Traceback Learning for Medical Report Generation
Approximate Dynamic Programming via Sum of Squares Programming
A maximum entropy model of bounded rational decision-making with prior beliefs and market feedback
WiFi-based Cross-Domain Gesture Recognition Using Attention Mechanism
E2E-AT: A Unified Framework for Tackling Uncertainty in Task-aware End-to-end Learning
Utility-based Privacy Preserving Data Mining
Evolving Accuracy: A Genetic Algorithm to Improve Election Night Forecasts
DPF-Nutrition: Food Nutrition Estimation via Depth Prediction and Fusion
Fashion Retail: Forecasting Demand for New Items
Precoding for 2x2 Doubly-Dispersive WSSUS Channels
EgoNight: Towards Egocentric Vision Understanding at Night with a Challenging Benchmark
YACLC: A Chinese Learner Corpus with Multidimensional Annotation
Spectral boundary conditions for volumetric frame fields design
Joint Distributed Source-Channel Decoding for LDPC-Coded Binary Markov Sources
On the Weight Distribution of the Extended Quadratic Residue Code of Prime 137
Anytime Inference in Valuation Algebras
Collaborative Trust: A Novel Paradigm of Trusted Mobile Computing
The state of the art in kidney and kidney tumor segmentation in contrast-enhanced CT imaging: Results of the KiTS19 Challenge
LLM-IE: A Python Package for Generative Information Extraction with Large Language Models
Deep Learning with Nonparametric Clustering
Closed loop application of electroadhesion for increased precision in texture rendering
On Muting Mobile Terminals for Uplink Interference Mitigation in HetNets - System-Level Analysis via Stochastic Geometry
Contrastive Principal Component Analysis
Interference Minimization in Beyond-Diagonal RIS-assisted MIMO Interference Channels
Technical Q&A Site Answer Recommendation via Question Boosting
Enhancing Surgical Robots with Embodied Intelligence for Autonomous Ultrasound Scanning
From Requirements to Autonomous Flight: An Overview of the Monitoring ICAROUS Project
Generating Energy-Efficient Code via Large-Language Models - Where are we now?
Embedding Cultural Diversity in Prototype-based Recommender Systems
Self supervised convolutional kernel based handcrafted feature harmonization: Enhanced left ventricle hypertension disease phenotyping on echocardiography
Accurate Building Detection in VHR Remote Sensing Images using Geometric Saliency
SatFlow: Generative model based framework for producing High Resolution Gap Free Remote Sensing Imagery
Data-driven Small-signal Modeling for Converter-based Power Systems
A Method to Generate High Precision Mesh Model and RGB-D Datasetfor 6D Pose Estimation Task
On the relationship between a Gamma distributed precision parameter and the associated standard deviation in the context of Bayesian parameter inference
An Adaptive Second-order Method for a Class of Nonconvex Nonsmooth Composite Optimization
Cheater's Bowl: Human vs. Computer Search Strategies for Open-Domain Question Answering
Classification of Random Boolean Networks
Is Less Really More? Why Reducing Code Reuse Gadget Counts via Software Debloating Doesn't Necessarily Lead to Better Security
Robust Modeling of Epistemic Mental States
Towards regulatory compliant lifecycle for AI-based medical devices in EU: Industry perspectives
A Speed Odyssey for Deployable Quantization of LLMs
Weighted completion time minimization for capacitated parallel machines
The Two-User Deterministic Interference Channel with Rate-Limited Feedback
Contrast Sensitivity Function of Multimodal Vision-Language Models
Data-Driven Bifurcation Analysis via Learning of Homeomorphism
SizeNet: Object Recognition via Object Real Size-based Convolutional Networks
Concurrent Linguistic Error Detection (CLED) for Large Language Models
Time to Embed: Unlocking Foundation Models for Time Series with Channel Descriptions
Learning Quantities of Interest from Dynamical Systems for Observation-Consistent Inversion
A Counterfactual Analysis of the Dishonest Casino
Learning General Latent-Variable Graphical Models with Predictive Belief Propagation and Hilbert Space Embeddings
Strong & Weak Methods: A Logical View of Uncertainty
Stochastic Intervention for Causal Inference via Reinforcement Learning
Actions Speak Louder than Prompts: A Large-Scale Study of LLMs for Graph Inference
On the Limitations of Vision-Language Models in Understanding Image Transforms
OFDM-based JCAS under Attack: The Dual Threat of Spoofing and Jamming in WLAN Sensing
Simulation under Arbitrary Temporal Logic Constraints
Assessing and Enhancing Graph Neural Networks for Combinatorial Optimization: Novel Approaches and Application in Maximum Independent Set Problems
MGE: A Training-Free and Efficient Model Generation and Enhancement Scheme
Type-respecting amalgamation and big Ramsey degrees
Complexity of regular abstractions of one-counter languages
Exponential random graph models for networks with community structure
Vision Guided MIMO Radar Beamforming for Enhanced Vital Signs Detection in Crowds
"Perchance to dream?": Assessing effect of dispersal strategies on the fitness of expanding populations
LaFIn: Generative Landmark Guided Face Inpainting
Robot Design: Formalisms, Representations, and the Role of the Designer
Provable Sim-to-Real Transfer via Offline Domain Randomization
Finite-Length Analysis of Irregular Expurgated LDPC Codes under Finite Number of Iterations
Active Linearized Sparse Neural Network-based Frequency-Constrained Unit Commitment
Morse and Lusternik-Schnirelmann for graphs
Towards small and accurate convolutional neural networks for acoustic biodiversity monitoring
Low Resource Pipeline for Spoken Language Understanding via Weak Supervision
A Fast Integrated Planning and Control Framework for Autonomous Driving via Imitation Learning
Noise robust speech emotion recognition with signal-to-noise ratio adapting speech enhancement
JSidentify-V2: Leveraging Dynamic Memory Fingerprinting for Mini-Game Plagiarism Detection
CredSaT: Credibility Ranking of Users in Big Social Data incorporating Semantic Analysis and Temporal Factor
Unveiling Gender Bias in Terms of Profession Across LLMs: Analyzing and Addressing Sociological Implications
A Near-Optimal Expected Boolean Complexity Bound for Descartes Solver
EVO-LRP: Evolutionary Optimization of LRP for Interpretable Model Explanations
A condensing approach to multiple shooting neural ordinary differential equation