yusuke1997/dblp-id-title huggingface dataset:
Incentive Mechanism Design for Cache-Assisted D2D Communications: A Mobility-Aware Approach
VIB is Half Bayes
Morphed Learning: Towards Privacy-Preserving for Deep Learning Based Applications
Partial Gromov-Wasserstein Learning for Partial Graph Matching
Video Big Data Analytics in the Cloud: Research Issues and Challenges
Frequency-compensated PINNs for Fluid-dynamic Design Problems
EEVEE: An Easy Annotation Tool for Natural Language Processing
Evaluation of Dirichlet Process Gaussian Mixtures for Segmentation on Noisy Hyperspectral Images
On the comparison of three numerical methods applied to building simulation: finite-differences, RC circuit approximation and a spectral method
Kernel-Based Nonparametric Tests For Shape Constraints
The Semantics of Transactions and Weak Memory in x86, Power, ARMv8, and C++
A Flow is a Stream of Packets: A Stream-Structured Data Approach for DDoS Detection
Assisted Entanglement Distillation
Learning to Segment Instances in Videos with Spatial Propagation Network
Task Attribute Distance for Few-Shot Learning: Theoretical Analysis and Applications
GPT-Signal: Generative AI for Semi-automated Feature Engineering in the Alpha Research Process
M@th Desktop and MD Tools - Mathematics and Mathematica Made Easy for Students
Optimization of Generalized Unary Coding
The quoter model: a paradigmatic model of the social flow of written information
Rectified Decision Trees: Towards Interpretability, Compression and Empirical Soundness
Cogment: Open Source Framework For Distributed Multi-actor Training, Deployment & Operations
IberBench: LLM Evaluation on Iberian Languages
Analysis and Control of Dynamic Flow Networks Subject to Stochastic Cyber-Physical Disruptions
Spatially constrained direction dependent calibration
A selection-quotient process for packed word Hopf algebra
Diffusion-RL for Scalable Resource Allocation for 6G Networks
Hierarchical Transformer-based Large-Context End-to-end ASR with Large-Context Knowledge Distillation
Combining Reinforcement Learning and Optimal Transport for the Traveling Salesman Problem
Cross Reconstruction Transformer for Self-Supervised Time Series Representation Learning
SNIP: Single-shot Network Pruning based on Connection Sensitivity
Planning-Aware Diffusion Networks for Enhanced Motion Forecasting in Autonomous Driving
M3P: Learning Universal Representations via Multitask Multilingual Multimodal Pre-training
Robotic Ad-Hoc Networks
A Theoretical Framework for an Efficient Normalizing Flow-Based Solution to the Schrodinger Equation
Unsupervised Reservoir Computing for Solving Ordinary Differential Equations
Physics-informed graph neural networks for flow field estimation in carotid arteries
Logically Constrained Robotics Transformers for Enhanced Perception-Action Planning
X-VARS: Introducing Explainability in Football Refereeing with Multi-Modal Large Language Model
An interface formulation for the Poisson equation in the presence of a semiconducting single-layer material
A Bottom-Up Algorithm for Negative-Weight SSSP with Integrated Negative Cycle Finding
Lens Factory: Automatic Lens Generation Using Off-the-shelf Components
On the Level Sets and Invariance of Neural Tuning Landscapes
Learning Randomized Reductions and Program Properties
A Stochastic Geometry Framework for LOS/NLOS Propagation in Dense Small Cell Networks
Conditional Contextual Refinement (CCR)
Lifelong Learning for Question Answering with Hierarchical Prompts
ALGORITHM xxx: MINRES-QLP for Singular Symmetric and Hermitian Linear Equations and Least-Squares Problems
Enhancing WSI-Based Survival Analysis with Report-Auxiliary Self-Distillation
Temporal Dynamics of Coordinated Online Behavior: Stability, Archetypes, and Influence
Control when confidence is costly
Machine-assisted writing evaluation: Exploring pre-trained language models in analyzing argumentative moves
Using Binoculars for Fast Exploration and Map Construction in Chordal Graphs and Extensions
Automatic Curation of Large-Scale Datasets for Audio-Visual Representation Learning
Precoding Based Network Alignment using Transform Approach for Acyclic Networks with Delay
A Novel Hat-Shaped Device-Cloud Collaborative Inference Framework for Large Language Models
Learning to Cope with Adversarial Attacks
The Scope of ChatGPT in Software Engineering: A Thorough Investigation
WiLiTV: A Low-Cost Wireless Framework for Live TV Services
Determining Research Priorities Using Machine Learning
Rice-Shapiro theorem in Computable Topology
Feature Robust Optimal Transport for High-dimensional Data
LPar - A Distributed Multi Agent platform for building Polyglot, Omni Channel and Industrial grade Natural Language Interfaces
MTA: A Merge-then-Adapt Framework for Personalized Large Language Model
Dynamic Gradient Reactivation for Backward Compatible Person Re-identification
Extracting Grammars from a Neural Network Parser for Anomaly Detection in Unknown Formats
Distributed Training of Deep Neural Networks with Theoretical Analysis: Under SSP Setting
Divide-et-impera Heuristic-based Randomized Search for the Qubit Routing Problem
A perspective on how to conduct responsible anti-human trafficking research in operations and analytics
Enhancing the efficiency of quantum annealing via reinforcement: A path-integral Monte Carlo simulation of the quantum reinforcement algorithm
Adaptive Artificial Intelligent Q&A Platform
LLM-Supported Content Analysis of Motivated Reasoning on Climate Change
ChemGraph: An Agentic Framework for Computational Chemistry Workflows
BayesJudge: Bayesian Kernel Language Modelling with Confidence Uncertainty in Legal Judgment Prediction
An Adaptable Approach for Successful SIEM Adoption in Companies
Fast List Decoders for Polarization-Adjusted Convolutional (PAC) Codes
Automatic salt deposits segmentation: A deep learning approach
A simple nonconforming tetrahedral element for the Stokes equations
Linear Codes from Simplicial Complexes over F 2 n
Skywork R1V2: Multimodal Hybrid Reinforcement Learning for Reasoning
Multimodal Teacher Forcing for Reconstructing Nonlinear Dynamical Systems
The weighted event distance of Poisson processes
AKD : Adversarial Knowledge Distillation For Large Language Models Alignment on Coding tasks
Assessing forensic evidence by computing belief functions - theory and applications
The Fellowship of the Authors: Disambiguating Names from Social Network Context
The Esports Frontier: Rendering for Competitive Games
On the Performance of Multiple Antenna Cooperative Spectrum Sharing Protocol under Nakagami-m Fading
OneAdapt: Adaptive Compilation for Resource-Constrained Photonic One-Way Quantum Computing
Singularity-Avoiding Multi-Dimensional Root-Finder
From Target Tracking to Targeting Track - Part I: A Metric for Spatio-Temporal Trajectory Evaluation
Adversarial regression training for visualizing the progression of chronic obstructive pulmonary disease with chest x-rays
The concavity of Rènyi entropy power
A Multi-View 3D Video Transmission Protocol Defending Packet Loss in WiFi Networks
Nonlinear Manifold Learning Determines Microgel Size from Raman Spectroscopy
Leveraging the Power of LLMs: A Fine-Tuning Approach for High-Quality Aspect-Based Summarization
A Unified Framework of Multi-Stage Multi-Winner Voting: An Axiomatic Exploration
Score Combining for Contrastive OOD Detection
Enhancing Document Retrieval for Curating N-ary Relations in Knowledge Bases
Floating-Point Neural Networks Are Provably Robust Universal Approximators
Quadratic Zero-Difference Balanced Functions, APN Functions and Strongly Regular Graphs
LPRules: Rule Induction in Knowledge Graphs Using Linear Programming
TripleMixer: A 3D Point Cloud Denoising Model for Adverse Weather
Deep Learning-Based FPGA Function Block Detection Method using an Image-Coded Representation of Bitstream
SailCompass: Towards Reproducible and Robust Evaluation for Southeast Asian Languages
Topology, Convergence, and Reconstruction of Predictive States
Easi3R: Estimating Disentangled Motion from DUSt3R Without Training
Mistral-SPLADE: LLMs for better Learned Sparse Retrieval
GPU Algorithm for Earliest Arrival Time Problem in Public Transport Networks
NovPhy: A Testbed for Physical Reasoning in Open-world Environments
Dynamic Granularity Matters: Rethinking Vision Transformers Beyond Fixed Patch Splitting
A Three-limb Teleoperated Robotic System with Foot Control for Flexible Endoscopic Surgery
Benefits of Stabilization versus Rollback in Eventually Consistent Key-Value Stores
An analysis of observation length requirements in spoken language for machine understanding of human behaviors
Test time training enhances in-context learning of nonlinear functions
GraphRAG-R1: Graph Retrieval-Augmented Generation with Process-Constrained Reinforcement Learning
SkyServer Traffic Report - The First Five Years
Bracketing is All You Need: Unifying Image Restoration and Enhancement Tasks with Multi-Exposure Images
Robust Metric Learning based on the Rescaled Hinge Loss
Applying Deep Learning to Specific Learning Disorder Screening
A Framework for Complementary Companion Character Behavior in Video Games
Performance of Joint Channel and Physical Network Coding Based on Alamouti STBC
A Probabilistic Linear Genetic Programming with Stochastic Context-Free Grammar for solving Symbolic Regression problems
Knowledge-Driven Feature Selection and Engineering for Genotype Data with Large Language Models
Estimating link level traffic emissions: enhancing MOVES with open-source data
Navigating Complexity: Orchestrated Problem Solving with Multi-Agent LLMs
A new method for optical steel rope non-destructive damage detection
Enhancing Knowledge Graph Construction Using Large Language Models
A Multimodal Human Protein Embeddings Database: DeepDrug Protein Embeddings Bank (DPEB)
Persistent Reinforcement Learning via Subgoal Curricula
A general learning scheme for classical and quantum Ising machines
A Robust Adversarial Ensemble with Causal (Feature Interaction) Interpretations for Image Classification
Leveraging Machine Learning for Multichain DeFi Fraud Detection
An Effective Two-stage Training Paradigm Detector for Small Dataset
Degree-3 Planar Graphs as Topological Minors of Wall Graphs in Polynomial Time
Lookahead Routing for Large Language Models
Constrained Thompson Sampling for Wireless Link Optimization
Exploring Post Quantum Cryptography with Quantum Key Distribution for Sustainable Mobile Network Architecture Design
Beyond Sequences: A Benchmark for Atomic Hand-Object Interaction Using a Static RNN Encoder
Combining deep generative models with extreme value theory for synthetic hazard simulation: a multivariate and spatially coherent approach
Railway Anomaly detection model using synthetic defect images generated by CycleGAN
Evaluating Efficacy of Indoor Non-Pharmaceutical Interventions against COVID-19 Outbreaks with a Coupled Spatial-SIR Agent-Based Simulation Framework
Conceptual Proposal: Frequency Offset Modulation for High-Efficiency Communications
Meta Learning not to Learn: Robustly Informing Meta-Learning under Nuisance-Varying Families
Finding Effective Geo-Social Group for Impromptu Activity with Multiple Demands
Disentangled Makeup Transfer with Generative Adversarial Network
LT4REC: A Lottery Ticket Hypothesis Based Multi-task Practice for Video Recommendation System
Quadrotor Takeoff Trajectory Planning in a One-Dimensional Uncertain Wind-field Aided by Wind-Sensing Infrastructure
Solving time-fractional differential equation via rational approximation
Parametric Cubical Type Theory
Inefficiency of voting in Parrondo games
MATT: A Multiple-instance Attention Mechanism for Long-tail Music Genre Classification
OpenMatch: An Open-Source Package for Information Retrieval
AND: Autoregressive Novelty Detectors
Diffusion Language Models are Super Data Learners
A Comparative Study on Code Generation with Transformers
Learning Mobile Manipulation
ERNIE-DOC: The Retrospective Long-Document Modeling Transformer
Symmetry of information and bounds on nonuniform randomness extraction via Kolmogorov extractors
Embodied Referring Expression Comprehension in Human-Robot Interaction
Optimal Discretization of Analog Filters via Sampled-Data H-infinity Control Theory
Transference & Retrieval of Pulse-code modulation Audio over Short Messaging Service
On Practical Accuracy of Edit Distance Approximation Algorithms
A Simple Solution To The Uncertain Delay Problem in USRP Based SDR-Radar Systems
Rethinking Multi-Modal Alignment in Video Question Answering from Feature and Sample Perspectives
An Optimize-Aware Target Tracking Method with Combine MAC layer and Active Nodes in Wireless Sensor Networks
An Approach to Checking Correctness for Agentic Systems
Tactile-based Reinforcement Learning for Adaptive Grasping under Observation Uncertainties
Adaptive Path Planning for Depth Constrained Bathymetric Mapping with an Autonomous Surface Vessel
Self-organized Polygon Formation Control based on Distributed Estimation
Composite Learning Units: Generalized Learning Beyond Parameter Updates to Transform LLMs into Adaptive Reasoners
Time Elastic Neural Networks
MPAX: Mathematical Programming in JAX
Political Polarization in Social Media: Analysis of the "Twitter Political Field" in Japan
Extracting Interpretable Concept-Based Decision Trees from CNNs
Establishing Software Engineering Design Competence with Soft Skills
Machine Learning-Based Performance Evaluation of a Solar-Powered Hydrogen Fuel Cell Hybrid in a Radio-Controlled Electric Vehicle
The Prager-Synge theorem in reconstruction based a posteriori error estimation
Mathematical Modelling of the Thermal Accumulation in Hot Water Solar Systems
Further remarks on the dual negation in team logics
Novel Keyword Extraction and Language Detection Approaches
On Geometry-Enhanced Parameter-Efficient Fine-Tuning for 3D Scene Segmentation
Towards Crafting Text Adversarial Samples
Securing Majority-Attack In Blockchain Using Machine Learning And Algorithmic Game Theory: A Proof of Work
Rapid self-organised initiation of ad hoc sensor networks close above the percolation threshold
A C 1 Petrov-Galerkin method and Gauss collocation method for 1D general elliptic problems and superconvergence
The Quantum Internet: Enhancing Classical Internet Services one Qubit at a Time
Recurrent Neural-Linear Posterior Sampling for Non-Stationary Contextual Bandits
Prolegomena to a Post-Aesthetics of Artificial Imaginations
From Score-Driven to Value-Sharing: Understanding Chinese Family Use of AI to Support Decision Making of College Applications
Human Activity in the Web
Understanding the Learners' Actions when using Mathematics Learning Tools
A Deep Learning Approach for the solution of Probability Density Evolution of Stochastic Systems
Coordination protocol for inter-operator spectrum sharing based on spectrum usage favors
Overcoming the Obstacle of Fixed Eigenvalues in Decentralized Control
Unsupervised Neural Aspect Search with Related Terms Extraction
On the error of a priori sampling: zero forcing sets and propagation time
FaceSigns: Semi-Fragile Neural Watermarks for Media Authentication and Countering Deepfakes
Using LLMs and Essence to Support Software Practice Adoption
Orthogonal and Idempotent Transformations for Learning Deep Neural Networks
bsnsing: A decision tree induction method based on recursive optimal boolean rule composition
RCTDistill: Cross-Modal Knowledge Distillation Framework for Radar-Camera 3D Object Detection with Temporal Fusion
Dual Band Video Thermography Near Ambient Conditions
Kidney exchange and endless paths: On the optimal use of an altruistic donor
Missing value imputation with adversarial random forests - MissARF
A Simple Dual-decoder Model for Generating Response with Sentiment
Dual-Modality Haptic Feedback Improves Dexterous Task Execution with Virtual EMG-Controlled Gripper
Decoupling Adaptive Control in TeaStore
BitTensor: An Intermodel Intelligence Measure
Multi-Stage Segmentation and Cascade Classification Methods for Improving Cardiac MRI Analysis
Graph neural network surrogate for strategic transport planning
Two-stage CNN-based wood log recognition
Eva: A General Vectorized Approximation Framework for Second-order Optimization
Error bounds for some approximate posterior measures in Bayesian inference
varFEM: variational formulation based programming for finite element methods in Matlab
A space-time hybrid parareal method for kinetic equations in the diffusive scaling
A Study on the Use of Edge TPUs for Eye Fundus Image Segmentation
Copyright and Promotion: Oxymoron or Opportunity?
A Few-Shot Sequential Approach for Object Counting
Smart Ternary Quantization
DC Microgrid based on Battery, Photovoltaic, and fuel Cells; Design and Control
Beyond Low Earth Orbit: Biomonitoring, Artificial Intelligence, and Precision Space Health
Multi-Objective Autonomous Exploration on Real-Time Continuous Occupancy Maps
Art2Real: Unfolding the Reality of Artworks via Semantically-Aware Image-to-Image Translation
No Free Lunch: Non-Asymptotic Analysis of Prediction-Powered Inference
Toward Solving 2-TBSG Efficiently
Tutorial and Practice in Linear Programming: Optimization Problems in Supply Chain and Transport Logistics
DeepSpace: An Online Deep Learning Framework for Mobile Big Data to Understand Human Mobility Patterns
Similarity between Learning Outcomes from Course Objectives using Semantic Analysis, Blooms taxonomy and Corpus statistics
On the Vector Linear Solvability of Networks and Discrete Polymatroids
MedShift: Implicit Conditional Transport for X-Ray Domain Adaptation
On the Robustness of the Backdoor-based Watermarking in Deep Neural Networks
The Effects of Communication Delay on Human Performance and Neurocognitive Responses in Mobile Robot Teleoperation
Illumination Robust Loop Closure Detection with the Constraint of Pose
Limits of specifiability for sensor-based robotic planning tasks
Cross-Modal Contrastive Learning for Robust Reasoning in VQA
Fiber-level Woven Fabric Capture from a Single Photo
Enhancing Covid-19 Decision-Making by Creating an Assurance Case for Simulation Models
The Ethics of ChatGPT in Medicine and Healthcare: A Systematic Review on Large Language Models (LLMs)
A Closer Look at Knowledge Distillation in Spiking Neural Network Training
Entanglement Accessibility Measures for the Quantum Internet
Critical-time metric for risk analysis against sharp input anomalies: computation and application case study
Medication Recommendation via Dual Molecular Modalities and Multi-Substructure Distillation
Evolutionary Clustering of Streaming Trajectories
Blockchain-based Privacy Preservation for 5G-enabled Drone Communications
Unifying and generalizing known lower bounds via geometric complexity theory
3D Multi-Target Localization Via Intelligent Reflecting Surface: Protocol and Analysis
Does Dialog Length matter for Next Response Selection task? An Empirical Study
Learning while Acquisition: Towards Active Learning Framework for Beamforming in Ultrasound Imaging
Unification of Fusion Theories
Look-ahead before you leap: end-to-end active recognition by forecasting the effect of motion
Horn Clauses in Hybrid-Dynamic First-Order Logic
Metric-Learning-Assisted Domain Adaptation
Automated Test Generation to Detect Individual Discrimination in AI Models
Bayesian Linear Bandits for Large-Scale Recommender Systems
Computing Supported Models via Transformation to Stable Models
VeriMind: Agentic LLM for Automated Verilog Generation with a Novel Evaluation Metric
How to Find the Convex Hull of All Integer Points in a Polyhedron?
Statistical privacy preserving message dissemination for peer-to-peer networks
Artificial Intelligence-Based Classification of Spitz Tumors
Impact of Network Delay and Decision Imperfections in IoT Assisted Cruise Ship Evacuation
A Clinical Benchmark of Public Self-Supervised Pathology Foundation Models
Swarm Reinforcement Learning For Adaptive Mesh Refinement
Mixup Your Own Pairs
An Array Intermediate Language for Mixed Cryptography
A Provably Convergent Plug-and-Play Framework for Stochastic Bilevel Optimization
glassoformer: a query-sparse transformer for post-fault power grid voltage prediction
Docent: A content-based recommendation system to discover contemporary art
Will Artificial Intelligence supersede Earth System and Climate Models?
Predicting Branch Visits and Upselling using Temporal Banking Data
Symmaries: Automatic Inference of Formal Security Summaries for Java Programs
Evaluating polynomials in several variables and their derivatives on a GPU computing processor
Would You Ask it that Way? Measuring and Improving Question Naturalness for Knowledge Graph Question Answering
Fast multi-frame image super-resolution based on MRF
Evaluating Genetic Algorithms through the Approximability Hierarchy
Edge Computing Enabled by Unmanned Autonomous Vehicles
Inference of Quantized Neural Networks on Heterogeneous All-Programmable Devices
FilMaster: Bridging Cinematic Principles and Generative AI for Automated Film Generation
The Weak Form Is Stronger Than You Think
Learning to Use Learners' Advice
Personality Analysis for Social Media Users using Arabic language and its Effect on Sentiment Analysis
Compressibility and Generalization in Large-Scale Deep Learning
Energy-Efficient Resource Allocation in Multiuser MIMO Systems: A Game-Theoretic Framework
Optimization on the Surface of the (Hyper)-Sphere
Programming by Rewards
Simple stochastic processes behind Menzerath's Law
Belief-Propagation for Weighted b-Matchings on Arbitrary Graphs and its Relation to Linear Programs with Integer Solutions
The Surprisingly Straightforward Scene Text Removal Method With Gated Attention and Region of Interest Generation: A Comprehensive Prominent Model Analysis
Quantum Conflict Measurement in Decision Making for Out-of-Distribution Detection
Which Pull Requests Get Accepted and Why? A study of popular NPM Packages
A General Theory of Liquidity Provisioning for Automated Market Makers
Provably Efficient and Agile Randomized Q-Learning
Challenges and Opportunities of Content Optimization for Freeform User Interfaces
Robust a posteriori error estimators with error-dominated oscillation for the reaction-diffusion equation
Text-guided Eyeglasses Manipulation with Spatial Constraints
Pushdown Exception-Flow Analysis of Object-Oriented Programs
The observational roots of reference of the semantic web
EVA-Score: Evaluation of Long-form Summarization on Informativeness through Extraction and Validation
Deep Convolutional Neural Networks for Map-Type Classification
Resilient and Decentralized Control of Multi-level Cooperative Robotic Networks to Maintain Connectivity under Adversarial Attacks
Analyzing LLMs' Capabilities to Establish Implicit User Sentiment of Software Desirability
Regularization for convolutional kernel tensors to avoid unstable gradient problem in convolutional neural networks
Contextual Tokenization for Graph Inverted Indices
Towards SE and EE in 5G with NOMA and Massive MIMO Technologies
Safe Reinforcement Learning Filter for Multicopter Collision-Free Tracking under disturbances
Enhancing Explainability with Multimodal Context Representations for Smarter Robots
ALBU: An approximate Loopy Belief message passing algorithm for LDA to improve performance on small data sets
Inexact Newton combined approximations in the topology optimization of geometrically nonlinear elastic structures and compliant mechanisms
Shaping Opinions in Social Networks with Shadow Banning
Spreadsheet Assurance by "Control Around" is a Viable Alternative to the Traditional Approach
Limitation of spatial heterogeneity in improving cooperation in coevolutionary dynamics
Robust Stability of Quantum Systems with a Nonlinear Coupling Operator
Traveling Salesman Problem solution using Magnonic Combinatorial Device
Natural Learning
JTubeSpeech: corpus of Japanese speech collected from YouTube for speech recognition and speaker verification
Unified Performance Analysis of Reconfigurable Intelligent Surface Empowered Free Space Optical Communications
Distinct citation distributions complicate research evaluations. A single indicator that universally reveals research efficiency cannot be formulated
RefFilter: Improving Semantic Conflict Detection via Refactoring-Aware Static Analysis
Pathology-knowledge Enhanced Multi-instance Prompt Learning for Few-shot Whole Slide Image Classification