yusuke1997/dblp-id-title huggingface dataset:
Provable Guarantees for General Two-sided Sequential Matching Markets
Zeta Functions for Tensor Codes
A Probability Monad as the Colimit of Finite Powers
Adversarial Detection and Correction by Matching Prediction Distributions
An adequacy theorem between mixed powerdomains and probabilistic concurrency
Missing data imputation for noisy time-series data and applications in healthcare
Markov Cricket: Using Forward and Inverse Reinforcement Learning to Model, Predict And Optimize Batting Performance in One-Day International Cricket
Eight Years of Rider Measurement in the Android Malware Ecosystem: Evolution and Lessons Learned
SITCOM: Scaling Inference-Time COMpute for VLAs
Scheduling and Precoding in Multi-User Multiple Antenna Time Division Duplex Systems
LizAI XT - Artificial Intelligence-Powered Platform for Healthcare Data Management: A Study on Clinical Data Mega-Structure, Semantic Search, and Insights of Sixteen Diseases
A Machine Learning Approach to Comment Toxicity Classification
Visual Information Extraction in the Wild: Practical Dataset and End-to-end Solution
Bayes and Naive Bayes Classifier
RT-DAP: A Real-Time Data Analytics Platform for Large-scale Industrial Process Monitoring and Control
q-Munchausen Reinforcement Learning
A Stronger Stitching Algorithm for Fisheye Images based on Deblurring and Registration
Articulation GAN: Unsupervised modeling of articulatory learning
Topological Interference Management with Confidential Messages
A CSP implementation of the bigraph embedding problem
An Application of the EM-algorithm to Approximate Empirical Distributions of Financial Indices with the Gaussian Mixtures
Identification of the heterogeneous conductivity in an inverse heat conduction problem
PERM EQ x GRAPH EQ: Equivariant Neural Networks for Quantum Molecular Learning
Neural ODEs as the Deep Limit of ResNets with constant weights
Multilingual Mathematical Autoformalization
Tensor Power Flow Formulations for Multidimensional Analyses in Distribution Systems
Closed-Form Expressions for Secrecy Capacity over Correlated Rayleigh Fading Channels
Self-Stabilizing Periodic Mutual-exclusive Propagation in Sparse Networks
Interpretable Attention Guided Network for Fine-grained Visual Classification
OJXPerf: Featherlight Object Replica Detection for Java Programs
E-Resource Management and Management Issues and Challenges
dpart: Differentially Private Autoregressive Tabular, a General Framework for Synthetic Data Generation
Parsimony-Enhanced Sparse Bayesian Learning for Robust Discovery of Partial Differential Equations
Reduced-order modeling for parameterized PDEs via implicit neural representations
Fooling Algorithms in Non-Stationary Bandits using Belief Inertia
Data-Driven Object Tracking: Integrating Modular Neural Networks into a Kalman Framework
Observation Matrix Design for Densifying MIMO Channel Estimation via 2D Ice Filling
Southwest Tree: A Low-Memory Data Structure for Partial Accumulations by Non-Commutative Invertible Operations
Data Mining-based Fragmentation of XML Data Warehouses
Derivation of an Algorithm for Calculation of the Intersection Area of a Circle with a Grid with Finite Fill Factor
A Separation Logic for Negative Dependence
A virtual element method for isotropic hyperelasticity
SoccerMaster: A Vision Foundation Model for Soccer Understanding
XR-1: Towards Versatile Vision-Language-Action Models via Learning Unified Vision-Motion Representations
The Rate of Convergence of Variation-Constrained Deep Neural Networks
Adapt in the Wild: Test-Time Entropy Minimization with Sharpness and Feature Regularization
Measuring design compliance using neural language models - an automotive case study
Computing eulerian magnitude homology
Practical linear-space Approximate Near Neighbors in high dimension
Eigenvector Continuation and Projection-Based Emulators
On-Board Visual Tracking with Unmanned Aircraft System (UAS)
Double Index Calculus Algorithm: Faster Solving Discrete Logarithm Problem in Finite Prime Field
Computing the distance distribution of systematic non-linear codes
Phonological modeling for continuous speech recognition in Korean
Adaptive Execution Scheduler for DataDios SmartDiff
A Study on Anxiety about Using Robo-taxis: HMI Design for Anxiety Factor Analysis and Anxiety Relief Based on Field Tests
A Real Time Optimistic Strategy to achieve Concurrency Control in Mobile Environments Using On-demand Multicasting
Just One Byte (per gradient): A Note on Low-Bandwidth Decentralized Language Model Finetuning Using Shared Randomness
Enhanced Contour Tracking: a Time-Varying Internal Model Principle-Based Approach
Multiuser Computation Offloading and Downloading for Edge Computing with Virtualization
Transfer Learning via Auxiliary Labels with Application to Cold-Hardiness Prediction
If They Disagree, Will You Conform? Exploring the Role of Robots' Value Awareness in a Decision-Making Task
Evaluating undergraduate mathematics examinations in the era of generative AI: a curriculum-level case study
Adapting Pre-trained Generative Models for Extractive Question Answering
Reconstructing Rayleigh-Benard flows out of temperature-only measurements using Physics-Informed Neural Networks
A Classification for Community Discovery Methods in Complex Networks
Coarse Spaces Based on Higher-Order Interpolation for Schwarz Preconditioners for Helmholtz Problems
An Empirical Study of Topic Transition in Dialogue
As Firm As Their Foundations: Can open-sourced foundation models be used to create adversarial examples for downstream tasks?
Beyond Intermediate States: Explaining Visual Redundancy through Language
Sublinear-Time Decremental Algorithms for Single-Source Reachability and Shortest Paths on Directed Graphs
Model as a Game: On Numerical and Spatial Consistency for Generative Games
Hubiness, length, crossings and their relationships in dependency trees
Hiding Secret Information in Movie Clip: A Steganographic Approach
SymPlanner: Deliberate Planning in Language Models with Symbolic Representation
Heuristics as conceptual lens for understanding and studying the usage of bibliometrics in research evaluation
Learning Robot Manipulation from Audio World Models
Potential Conditional Mutual Information: Estimators, Properties and Applications
Almost Sure Convergence Rates of Stochastic Zeroth-order Gradient Descent for Łojasiewicz Functions
Mitigation of Datacenter Demand Ramping and Fluctuation using Hybrid ESS and Supercapacitor
Harnessing Synthetic Active Particles for Physical Reservoir Computing
DELTA: Language Diffusion-based EEG-to-Text Architecture
Multi-Airport Delay Prediction with Transformers
Accelerating large-scale linear algebra using variational quantum imaginary time evolution
Audience-Retention-Rate-Aware Caching and Coded Video Delivery with Asynchronous Demands
Exponential Approximation of Multivariate Bandlimited Functions from Average Oversampling
Research Directions for Developing and Operating Artificial Intelligence Models in Trustworthy Autonomous Systems
VyAnG-Net: A Novel Multi-Modal Sarcasm Recognition Model by Uncovering Visual, Acoustic and Glossary Features
LMM-VQA: Advancing Video Quality Assessment with Large Multimodal Models
Normalization in Proportional Feature Spaces
Security Concerns in Quantum Machine Learning as a Service
A New Flexible Train-Test Split Algorithm, an approach for choosing among the Hold-out, K-fold cross-validation, and Hold-out iteration
Generalized Pseudospectral Shattering and Inverse-Free Matrix Pencil Diagonalization
Creative Community Demystified: A Statistical Overview of Behance
Classification of Geological Borehole Descriptions Using a Domain Adapted Large Language Model
Repurposing Foundation Model for Generalizable Medical Time Series Classification
Identifying Experts in Question & Answer Portals: A Case Study on Data Science Competencies in Reddit
Collecting Coded Coupons over Overlapping Generations
Llama-3-Nanda-10B-Chat: An Open Generative Large Language Model for Hindi
A Numerically Robust and Stable Time-Space Pseudospectral Approach for Generalized Burgers-Fisher Equation
ffstruc2vec: Flat, Flexible and Scalable Learning of Node Representations from Structural Identities
audEERING's approach to the One-Minute-Gradual Emotion Challenge
A Short Note on Modeling 2D Taut Ropes with Visibility Decompositions
Equational Bit-Vector Solving via Strong Gröbner Bases
Manopt, a Matlab toolbox for optimization on manifolds
FinStat2SQL: A Text2SQL Pipeline for Financial Statement Analysis
Enabling Smart Buildings by Indoor Visible Light Communications and Machine Learning
Heat: Satellite's meat is GPU's poison
VERINA: Benchmarking Verifiable Code Generation
One Set to Rule Them All: How to Obtain General Chemical Conditions via Bayesian Optimization over Curried Functions
STEER : Simple Temporal Regularization For Neural ODEs
Rao-Burbea centroids applied to the statistical characterisation of time series and images through ordinal patterns
Unveiling Topological Structures in Text: A Comprehensive Survey of Topological Data Analysis Applications in NLP
Deep Episodic Value Iteration for Model-based Meta-Reinforcement Learning
DUCT: An Interactive Define-Use Chain Navigation Tool for Relative Debugging
Synthesis from Recursive-Components Libraries
KeyAuth: Bringing Public-key Authentication to the Masses
Learning to Decode 7T-like MR Image Reconstruction from 3T MR Images
Towards Practical Application of Deep Learning in Diagnosis of Alzheimer's Disease
Sense, Model and Identify the Load Signatures of HVAC Systems in Metro Stations
Neural Sequence-to-Sequence Modeling with Attention by Leveraging Deep Learning Architectures for Enhanced Contextual Understanding in Abstractive Text Summarization
Isolating Culture Neurons in Multilingual Large Language Models
MapFM: Foundation Model-Driven HD Mapping with Multi-Task Contextual Learning
DeformSyncNet: Deformation Transfer via Synchronized Shape Deformation Spaces
Wide-Area Geolocalization with a Limited Field of View Camera in Challenging Urban Environments
NetMemex: Providing Full-Fidelity Traffic Archival
Interesting Paths in the Mapper
Decomposition of Trees and Paths via Correlation
Process tomography in general physical theories
Moderating Model Marketplaces: Platform Governance Puzzles for AI Intermediaries
Simplified_edition_Multi-robot SLAM Multi-view Target Tracking based on Panoramic Vision in Irregular Environment
cantnlp@LT-EDI-2023: Homophobia/Transphobia Detection in Social Media Comments using Spatio-Temporally Retrained Language Models
Enhanced 3D Urban Scene Reconstruction and Point Cloud Densification using Gaussian Splatting and Google Earth Imagery
Dynamic collaborative filtering Thompson Sampling for cross-domain advertisements recommendation
Multi-winner Approval Voting Goes Epistemic
FideDiff: Efficient Diffusion Model for High-Fidelity Image Motion Deblurring
On the total order of reducibility of a pencil of algebraic plane curves
Neither Global Nor Local: A Hierarchical Robust Subspace Clustering For Image Data
ROADFIRST: A Comprehensive Enhancement of the Systemic Approach to Safety for Improved Risk Factor Identification and Evaluation
Continuous Pseudo-Labeling from the Start
Accelerating Matrix Diagonalization through Decision Transformers with Epsilon-Greedy Optimization
Counter Machines and Distributed Automata: A Story about Exchanging Space and Time
Effective Fine-Tuning with Eigenvector Centrality Based Pruning
Games Without Frontiers: Investigating Video Games as a Covert Channel
Audio Transport: A Generalized Portamento via Optimal Transport
Questioning the Stability of Visual Question Answering
ZSM-based Management and Orchestration of 3GPP Network Slicing: An Architectural Framework and Deployment Options
PyramidBox++: High Performance Detector for Finding Tiny Face
Optimal High Frequency Trading with limit and market orders
MeTA-LoRA: Data-Efficient Multi-Task Fine-Tuning for Large Language Models
Visual Behaviors and Mobile Information Acquisition
BrePartition: Optimized High-Dimensional kNN Search with Bregman Distances
Clustering with Total Variation Graph Neural Networks
Self-Supervised Temporal Super-Resolution of Energy Data using Generative Adversarial Transformer
Supersparse Linear Integer Models for Optimized Medical Scoring Systems
JPEG Compressed Images Can Bypass Protections Against AI Editing
An approximation algorithm for the total cover problem
Monitoring behavioural responses during pandemic via reconstructed contact matrices from online and representative surveys
End-to-End DNN Training with Block Floating Point Arithmetic
Survey on Multi-Document Summarization: Systematic Literature Review
A Power-Efficient Scheme for Cellular Uplink with Inter-cell Interference
Distributing an Exact Algorithm for Maximum Clique: maximising the costup
Prompt to Polyp: Medical Text-Conditioned Image Synthesis with Diffusion Models
An Ontology for Social Determinants of Education (SDoEd) based on Human-AI Collaborative Approach
On the Stretch Factor of Convex Polyhedra whose Vertices are (Almost) on a Sphere
TENNs-PLEIADES: Building Temporal Kernels with Orthogonal Polynomials
Ensemble Classification-Based Spectrum Sensing Using Support Vector Machine for CRN
Provable Copyright Protection for Generative Models
Data Stealing Attack on Medical Images: Is it Safe to Export Networks from Data Lakes?
Cybersecurity Knowledge and Skills Taught in Capture the Flag Challenges
Approximate Exponential Algorithms to Solve the Chemical Master Equation
Entropy-based Optimization via A* Algorithm for Parking Space Recommendation
Beyond Token-level Supervision: Unlocking the Potential of Decoding-based Regression via Reinforcement Learning
A New Approach for Semi-automatic Building and Extending a Multilingual Terminology Thesaurus
Trend patterns statistics for assessing irreversibility in cryptocurrencies: time-asymmetry versus inefficiency
Credit card fraud detection using machine learning: A survey
High Performance Microreactor for Rapid Fluid Mixing and Redox Reaction of Ascorbic Acid
A Topological Distance between Multi-fields based on Multi-Dimensional Persistence Diagrams
Supervised and Semi-Supervised Deep Neural Networks for CSI-Based Authentication
Quantum Constacyclic BCH Codes over Qudits: A Spectral-Domain Approach
Performance Modeling of Distributed Deep Neural Networks
Evaluating ChatGPT's Performance in Classifying Pneumonia from Chest X-Ray Images
CPFed: Communication-Efficient and Privacy-Preserving Federated Learning
Assessing the Robustness of Visual Question Answering
Dyn-ASR: Compact, Multilingual Speech Recognition via Spoken Language and Accent Identification
The eXtreme Mesh deformation approach (X-MESH) for the Stefan phase-change model
Multisensor-Multitarget Bearing-Only Sensor Registration
Neural Variational Hybrid Collaborative Filtering
Penalized Deep Partially Linear Cox Models with Application to CT Scans of Lung Cancer Patients
SINA - Smart Interoperability Architecture An architecture fostering the interoperability between smart building technology from different manufacturers and smart grid infrastructure to enable new business models for energy services
Automated Catheter Tip Repositioning for Intra-cardiac Echocardiography
Comprehensive Benchmarking of Machine Learning Methods for Risk Prediction Modelling from Large-Scale Survival Data: A UK Biobank Study
On Using Unsatisfiability for Solving Maximum Satisfiability
Automated Detecting and Placing Road Objects from Street-level Images
Guiding Software Developers by Social Networking Application Plug-in using the Multiple Bridge Source Repository through a Data Mining Integrated Approach
Data driven approach towards more efficient Newton-Raphson power flow calculation for distribution grids
Can Highlighting Help GitHub Maintainers Track Security Fixes?
Residus de 2-formes differentielles sur les surfaces algebriques et applications aux codes correcteurs d'erreurs
A Unified Generative-Predictive Framework for Deterministic Inverse Design
Unseen Class Discovery in Open-world Classification
A More Practical Approach to Machine Unlearning
Utilizing Out-Domain Datasets to Enhance Multi-Task Citation Analysis
Not Your Grandfathers Test Set: Reducing Labeling Effort for Testing
One STEP at a time: Language Agents are Stepwise Planners
Julearn: an easy-to-use library for leakage-free evaluation and inspection of ML models
An Affinity Propagation Based method for Vector Quantization Codebook Design
Bifrost-1: Bridging Multimodal LLMs and Diffusion Models with Patch-level CLIP Latents
An Integrated Framework for Two-pass Personalized Voice Trigger
CFI2P: Coarse-to-Fine Cross-Modal Correspondence Learning for Image-to-Point Cloud Registration
Deep Learning in Detection and Diagnosis of Covid-19 using Radiology Modalities: A Systematic Review
Optimal actuator design via Brunovsky's normal form
Auxiliary Descriptive Knowledge for Few-Shot Adaptation of Vision-Language Model
Quantitative Flow Approximation Properties of Narrow Neural ODEs
An ensemble of online estimation methods for one degree-of-freedom models of unmanned surface vehicles: applied theory and preliminary field results with eight vehicles
Single-word Auditory Attention Decoding Using Deep Learning Model
Optimal Approximation Complexity of High-Dimensional Functions with Neural Networks
Accelerated Continuous-Time Approximate Dynamic Programming via Data-Assisted Hybrid Control
A Justice Lens on Fairness and Ethics Courses in Computing Education: LLM-Assisted Multi-Perspective and Thematic Evaluation
DeepIEP: a Peptide Sequence Model of Isoelectric Point (IEP/pI) using Recurrent Neural Networks (RNNs)
Zero-shot Text-guided Infinite Image Synthesis with LLM guidance
Passing the Buck to AI: How Individuals' Decision-Making Patterns Affect Reliance on AI
A Probabilistic Adaptive Search System for Exploring the Face Space
Anti-Forgetting Adaptation for Unsupervised Person Re-identification
A distribution-dependent Mumford-Shah model for unsupervised hyperspectral image segmentation
Low Precision Neural Networks using Subband Decomposition
Infomax strategies for an optimal balance between exploration and exploitation
Explore then Determine: A GNN-LLM Synergy Framework for Reasoning over Knowledge Graph
On the Use of Cramer-Rao Lower Bound for Least-Variance Circuit Parameters Identification of Li-ion Cells
PlanGPT: Enhancing Urban Planning with Tailored Language Model and Efficient Retrieval
Enhancing Kubernetes Automated Scheduling with Deep Learning and Reinforcement Techniques for Large-Scale Cloud Computing Optimization
TransAlign: Fully Automatic and Effective Entity Alignment for Knowledge Graphs
A new approach to the $2$-regularity of the l-abelian complexity of 2-automatic sequences
Communication, Sensing and Control integrated Closed-loop System: Modeling, Control Design and Resource Allocation
Natural Data Storage: A Review on sending Information from now to then via Nature
Uncovering GNSS Interference with Aerial Mapping UAV
Bayesian Sparse Tucker Models for Dimension Reduction and Tensor Completion
MMM: Multi-stage Multi-task Learning for Multi-choice Reading Comprehension
Improved Stencil Selection for Meshless Finite Difference Methods in 3D
Recursive Threshold Median Filter and Autoencoder for Salt-and-Pepper Denoising: SSIM analysis of Images and Entropy Maps
Understanding the Inefficiency of Security-Constrained Economic Dispatch
Information Geometric Nonlinear Filtering
DOPS: Learning to Detect 3D Objects and Predict their 3D Shapes
Loop-Residual Neural Networks for Iterative Refinement
Audit Maturity Model
When SIMPLE is better than complex: A case study on deep learning for predicting Bugzilla issue close time
Knowledge Collapse in LLMs: When Fluency Survives but Facts Fail under Recursive Synthetic Training
Resource control and intersection types: an intrinsic connection
Implementing a GRU Neural Network for Flood Prediction in Ashland City, Tennessee
Stochastic Geometry-based Comparison of Secrecy Enhancement Techniques in D2D Networks
On dropping the first Sobol' point
Cooperative Adaptive Learning Control for A Group of Nonholonomic UGVs by Output Feedback
Gaussian Processes with Linear Multiple Kernel: Spectrum Design and Distributed Learning for Multi-Dimensional Data
MC-SSL0.0: Towards Multi-Concept Self-Supervised Learning
Enhanced Interpretable Knowledge Tracing for Students Performance Prediction with Human understandable Feature Space
TruVRF: Towards Triple-Granularity Verification on Machine Unlearning
A data-set of piercing needle through deformable objects for Deep Learning from Demonstrations
CultureScope: A Dimensional Lens for Probing Cultural Understanding in LLMs
The SocialAI School: Insights from Developmental Psychology Towards Artificial Socio-Cultural Agents
Investigating Lexical Change through Cross-Linguistic Colexification Patterns
Constructing interpretable principal curve using Neural ODEs
AI Development Race Can Be Mediated on Heterogeneous Networks
Building FKG.in: a Knowledge Graph for Indian Food
Motion Capture Analysis of Verb and Adjective Types in Austrian Sign Language
AnaCP: Toward Upper-Bound Continual Learning via Analytic Contrastive Projection
Methods for Few-View CT Image Reconstruction
Computational Analysis of .NET Remoting and Mobile agent in Distributed Environment
BusReF: Infrared-Visible images registration and fusion focus on reconstructible area using one set of features
Flow-Guided Attention Networks for Video-Based Person Re-Identification
Experimental System Design of an Active Fault-Tolerant Quadrotor
HalluciBot: Is There No Such Thing as a Bad Question?
The Self-Driving Car: Crossroads at the Bleeding Edge of Artificial Intelligence and Law
Effects of community structure on epidemic spread in an adaptive network
Understanding and Designing Complex Systems: Response to "A framework for optimal high-level descriptions in science and engineering - preliminary report"
Can Gaze Beat Touch? A Fitts' Law Evaluation of Gaze, Touch, and Mouse Inputs
Financial ticket intelligent recognition system based on deep learning
Beyond Prior Limits: Addressing Distribution Misalignment in Particle Filtering
Keyword Extraction, and Aspect Classification in Sinhala, English, and Code-Mixed Content
An Optimization Model for Offline Scheduling Policy of Low-density Parity-check Codes
Detecting Hallucinations in Authentic LLM-Human Interactions
Quantum Algorithms for Compositional Natural Language Processing
REDBEE: A Visual-Inertial Drone System for Real-Time Moving Object Detection
Segment, Shuffle, and Stitch: A Simple Mechanism for Improving Time-Series Representations
A Symbolic Regression Method for Dynamic Modeling and Control of Quadrotor UAVs
Design of a Low-cost Miniature Robot to Assist the COVID-19 Nasopharyngeal Swab Sampling
Towards Automatic building of Human-Machine Conversational System to support Maintenance Processes
Artificial Intelligence-driven Intelligent Wearable Systems: A full-stack Integration from Material Design to Personalized Interaction
Non-Iterative Scribble-Supervised Learning with Pacing Pseudo-Masks for Medical Image Segmentation
The T05 System for The VoiceMOS Challenge 2024: Transfer Learning from Deep Image Classifier to Naturalness MOS Prediction of High-Quality Synthetic Speech
Stability Analysis and Learning Bounds for Transductive Regression Algorithms
Optimal Sum-DoF of the K-user MISO BC with Current and Delayed Feedback
Online Absolute Ranking with Partial Information: A Bipartite Graph Matching Approach
Approximation Algorithms for the Graph Burning on Cactus and Directed Trees
FedGEMS: Federated Learning of Larger Server Models via Selective Knowledge Fusion
Peano Count Trees (P-Trees) and Rule Association Mining for Gene Expression Profiling of Microarray Data
Safety-guaranteed trajectory planning and control based on GP estimation for unmanned surface vessels
OPAL: Visibility-aware LiDAR-to-OpenStreetMap Place Recognition via Adaptive Radial Fusion
Semantic segmentation with reward
Evaluating the Performance of Large Language Models for SDG Mapping (Technical Report)
A Complex Data Warehouse for Personalized, Anticipative Medicine
Retrieval-Augmented Few-Shot Prompting Versus Fine-Tuning for Code Vulnerability Detection
Constructing Extreme Learning Machines with zero Spectral Bias