yusuke1997/dblp-id-title huggingface dataset:
Chinese-Vicuna: A Chinese Instruction-following Llama-based Model
A Hybrid Queuing Model for Coordinated Vehicle Platooning on Mixed-Autonomy Highways: Training and Validation
The channel capacity of the ribosome
Learning to Disentangle Scenes for Person Re-identification
Towards Improving Reward Design in RL: A Reward Alignment Metric for RL Practitioners
A County-Level Similarity Network of Electric Vehicle Adoption: Integrating Predictive Modeling and Graph Theory
Natural Language Syntax Complies with the Free-Energy Principle
DiffPhase: Generative Diffusion-based STFT Phase Retrieval
L 2 -approximation using randomized lattice algorithms
A scheduling and control approach for an industrial furnace to minimize idle energy consumption
Competency Questions and SPARQL-OWL Queries Dataset and Analysis
Q-A: Towards the Solution of Usability-Security Tension in User Authentication
Experimenting with ChatGPT for Spreadsheet Formula Generation: Evidence of Risk in AI Generated Spreadsheets
Optimal Energy System Scheduling Using A Constraint-Aware Reinforcement Learning Algorithm
Exploiting Test Time Evidence to Improve Predictions of Deep Neural Networks
Moment and Highlight Detection via MLLM Frame Segmentation
How Much Can a Behavior-Preserving Changeset Be Decomposed into Refactoring Operations?
High-Performance Neural Networks for Visual Object Classification
DiffusionShield: A Watermark for Copyright Protection against Generative Diffusion Models
Generic Secure Repair for Distributed Storage
Exploiting Large-scale Teacher-Student Training for On-device Acoustic Models
DeepSolo++: Let Transformer Decoder with Explicit Points Solo for Text Spotting
Taming Gradient Oversmoothing and Expansion in Graph Neural Networks
End-to-End Deep Learning of Lane Detection and Path Prediction for Real-Time Autonomous Driving
AbsGS: Recovering Fine Details for 3D Gaussian Splatting
AdvIRL: Reinforcement Learning-Based Adversarial Attacks on 3D NeRF Models
Distributed Lossy Image Compression with Recurrent Networks
Counting Reward Automata: Sample Efficient Reinforcement Learning Through the Exploitation of Reward Function Structure
C-VQA: A Compositional Split of the Visual Question Answering (VQA) v1.0 Dataset
Dynamic Allocation of Public Goods with Approximate Core Equilibria
Pre-trained Transformer-Based Approach for Arabic Question Answering : A Comparative Study
Bayesian Neural Network Versus Ex-Post Calibration For Prediction Uncertainty
IoT Security: Botnet detection in IoT using Machine learning
AI Foundation Models for Weather and Climate: Applications, Design, and Implementation
Automation Slicing and Testing for in-App Deep Learning Models
Single-Purpose Algorithms vs. a Generic Graph Summarizer for Computing k-Bisimulations on Large Graphs
Countermeasure against Side-Channel Attack in Shared Memory of TrustZone
SDA-PLANNER: State-Dependency Aware Adaptive Planner for Embodied Task Planning
Question: How do Large Language Models perform on the Question Answering tasks? Answer
Testing Surrogate-Based Optimization with the Fortified Branin-Hoo Extended to Four Dimensions
Neural machine translation of clinical procedure codes for medical diagnosis and uncertainty quantification
The Many Faces of Balance: Multilevel Structural Evaluation of Signed Directed Social Networks
Communicating Lists Over a Noisy Channel
CLIP-RR: Improved CLIP Network for Relation-Focused Cross-Modal Information Retrieval
The Virtual Doctor: An Interactive Artificial Intelligence based on Deep Learning for Non-Invasive Prediction of Diabetes
A Benchmark on Tricks for Large-scale Image Retrieval
Data-Enabled Predictive Control for Fast Charging of Lithium-Ion Batteries with Constraint Handling
Vulnerability analysis of captcha using Deep learning
Machine learning for improving performance in an evolutionary algorithm for minimum path with uncertain costs given by massively simulated scenarios
GLANCE: Graph Logic Attention Network with Cluster Enhancement for Heterophilous Graph Representation Learning
Trustworthy Medical Segmentation with Uncertainty Estimation
Transforming Javascript Event-Loop Into a Pipeline
Learning to Detect Blue-white Structures in Dermoscopy Images with Weak Supervision
Empirical Analysis of Privacy-Fairness-Accuracy Trade-offs in Federated Learning: A Step Towards Responsible AI
ShED-HD: A Shannon Entropy Distribution Framework for Lightweight Hallucination Detection on Edge Devices
The dual of convolutional codes over $\mathbb{Z}_{p^r}$
"You still have to study" - On the Security of LLM generated code
Generating multi-scale NMC particles with radial grain architectures using spatial stochastics and GANs
Pushdown Reward Machines for Reinforcement Learning
Constrained reaction wheel desaturation and attitude control of spacecraft with four reaction wheels
Visual Companion for Booklovers
PRFusion: Toward Effective and Robust Multi-Modal Place Recognition with Image and Point Cloud Fusion
Deep Neural Network for Learning to Rank Query-Text Pairs
Necknasium: A Virtual Reality Rehabilitation Game for Managing Faulty Neck Posture
State-Based Control of Fuzzy Discrete Event Systems
A machine learning framework for LES closure terms
Intelligent Operation and Maintenance and Prediction Model Optimization for Improving Wind Power Generation Efficiency
Incentivizing Evaluation via Limited Access to Ground Truth: Peer-Prediction Makes Things Worse
Counterfactual Explanations of Concept Drift
MReD: A Meta-Review Dataset for Controllable Text Generation
Efficient Design of Neural Networks with Random Weights
Collaborative Service Caching for Edge Computing in Dense Small Cell Networks
Dynamic controllers for column synchronization of rotation matrices: a QR-factorization approach
WaveComBox: a Matlab Toolbox for Communications using New Waveforms
Machine Decisions and Human Consequences
Interval Linear Algebra and Computational Complexity
SPX: Preserving End-to-End Security for Edge Computing
Improving the performance of optical inverse design of multilayer thin films using CNN-LSTM tandem neural networks
A methodological framework for Resilience as a Service (RaaS) in multimodal urban transportation networks
A Preliminary Roadmap for LLMs as Assistants in Exploring, Analyzing, and Visualizing Knowledge Graphs
Inter-satellite Quantum Key Distribution at Terahertz Frequencies
Gendec: A Machine Learning-based Framework for Gender Detection from Japanese Names
Tumour Ellipsification in Ultrasound Images for Treatment Prediction in Breast Cancer
One Missing Piece for Open-Source Reasoning Models: A Dataset to Mitigate Cold-Starting Short CoT LLMs in RL
Towards Global and Limitless Connectivity: The Role of Private NGSO Satellite Constellations for Future Space-Terrestrial Networks
The Feature Understandability Scale for Human-Centred Explainable AI: Assessing Tabular Feature Importance
Performance optimization and modeling of fine-grained irregular communication in UPC
HyperComplEx: Adaptive Multi-Space Knowledge Graph Embeddings
Weakly-supervised VisualBERT: Pre-training without Parallel Images and Captions
Tighter Undecidability Bounds for Matrix Mortality, Zero-in-the-Corner Problems, and More
On the error performance of the $A_n$ lattices
A Simple Homotopy Proximal Mapping for Compressive Sensing
Polynomial-time approximability of the k-Sink Location problem
MiniMax Entropy Network: Learning Category-Invariant Features for Domain Adaptation
Hierarchical Approach for Online Mining--Emphasis towards Software Metrics
Interference Alignment with Partial CSI Feedback in MIMO Cellular Networks
NeRF Is a Valuable Assistant for 3D Gaussian Splatting
Denotation of syntax and metaprogramming in contextual modal type theory (CMTT)
A framework for adaptive regularization in streaming Lasso models
Uncertainty Quantification for Surface Ozone Emulators using Deep Learning
Stabilizer Quantum Codes: A Unified View based on Forney-style Factor Graphs
LatteReview: A Multi-Agent Framework for Systematic Review Automation Using Large Language Models
Modelling and Synchronisation of Delayed Packet-Coupled Oscillators in Industrial Wireless Sensor Networks
ThinkTuning: Instilling Cognitive Reflections without Distillation
A Practical & Unified Notation for Information-Theoretic Quantities in ML
Analyzing the Impact of Demand Response on Short-Circuit Current via a Unit Commitment Model
A Review: Study of Handover Performance in Mobile IP
A new non-linear instability for scalar fields
An Implementation of Vector Quantization using the Genetic Algorithm Approach
Feature-Based Semantics-Aware Scheduling for Energy-Harvesting Federated Learning
Using Text Mining To Analyze Real Estate Classifieds
Memristive chaotic circuit for information processing through time
$k$-quasi planar graphs
TPI-LLM: Serving 70B-scale LLMs Efficiently on Low-resource Edge Devices
Label-Free Concept Bottleneck Models
PointRecon: Online Point-based 3D Reconstruction via Ray-based 2D-3D Matching
A Survey on Machine Learning-based Misbehavior Detection Systems for 5G and Beyond Vehicular Networks
AI Governance InternationaL Evaluation Index (AGILE Index) 2025
Action Spotting and Precise Event Detection in Sports: Datasets, Methods, and Challenges
Symplectic Optimization for Cross Subcarrier Precoder Design with Channel Smoothing in Massive MIMO-OFDM System
Optimised Convolutional Neural Networks for Heart Rate Estimation and Human Activity Recognition in Wrist Worn Sensing Applications
Learning from Incomplete Data by Simultaneous Training of Neural Networks and Sparse Coding
Treatment the Effects of Studio Wall Resonance and Coincidence Phenomena for Recording Noisy Speech Via FPGA Digital Filter
Parameter Effects in ReCom Ensembles
The Exploration and Evaluation of Generating Affective 360° Panoramic VR Environments Through Neural Style Transfer
Benefits of Monotonicity in Safe Exploration with Gaussian Processes
In-Context Transfer Learning: Demonstration Synthesis by Transferring Similar Tasks
CDTOM: A Context-driven Task-oriented Middleware for Pervasive Homecare Environment
Inertial-based Navigation by Polynomial Optimization: Inertial-Magnetic Attitude Estimation
Linear TreeShap
Causality, Programmability and Information Biology
Advanced Health Misinformation Detection Through Hybrid CNN-LSTM Models Informed by the Elaboration Likelihood Model (ELM)
A readout method based on 10 Gigabit Ethernet for Sipixel detector
Minimax Confidence Interval for Off-Policy Evaluation and Policy Optimization
A Review of Financial Accounting Fraud Detection based on Data Mining Techniques
Opinion Dynamics via Search Engines (and other Algorithmic Gatekeepers)
Language Model-driven Negative Sampling
An Efficient Authentication Protocol for Smart Grid Communication Based on On-Chip-Error-Correcting Physical Unclonable Function
PointABM:Integrating Bidirectional State Space Model with Multi-Head Self-Attention for Point Cloud Analysis
Learning Probabilistic Intersection Traffic Models for Trajectory Prediction
Can we reconstruct a dysarthric voice with the large speech model Parler TTS?
Audio-Visual Camera Pose Estimation with Passive Scene Sounds and In-the-Wild Video
Symplectic integration of learned Hamiltonian systems
Multitask Learning for Sequence Labeling Tasks
On catastrophic forgetting and mode collapse in Generative Adversarial Networks
Training-Free Personalization via Retrieval and Reasoning on Fingerprints
Domain Adaptation for Object Detection using SE Adaptors and Center Loss
Detecting and counting tiny faces
Kick control: using the attracting states arising within the sensorimotor loop of self-organized robots as motor primitives
GMF-Drive: Gated Mamba Fusion with Spatial-Aware BEV Representation for End-to-End Autonomous Driving
Direct Judgement Preference Optimization
Efficient Per-Example Gradient Computations
Time Series Modeling for Dream Team in Fantasy Premier League
Frustratingly Easy Sentiment Analysis of Text Streams: Generating High-Quality Emotion Arcs Using Emotion Lexicons
Local Conditioning: Exact Message Passing for Cyclic Undirected Distributed Networks
Data-based Distributionally Robust Stochastic Optimal Power Flow, Part I: Methodologies
Structured Inverse-Free Natural Gradient: Memory-Efficient & Numerically-Stable KFAC for Large Neural Nets
Multiple Antenna Cognitive Receivers and Signal Detection
Multi-Sensory Cognitive Computing for Learning Population-level Brain Connectivity
A Fair Classifier Embracing Triplet Collapse
Metatickles and Death in Damascus
ClusterStyle: Modeling Intra-Style Diversity with Prototypical Clustering for Stylized Motion Generation
Can LLMs Reason Abstractly Over Math Word Problems Without CoT? Disentangling Abstract Formulation From Arithmetic Computation
Distributed stochastic proximal algorithm with random reshuffling for non-smooth finite-sum optimization
QuadAttack: A Quadratic Programming Approach to Ordered Top-K Attacks
Coupled Distributional Random Expert Distillation for World Model Online Imitation Learning
Reinforcement Learning in a Neurally Controlled Robot Using Dopamine Modulated STDP
Trusting small training dataset for supervised change detection
Verifying Liveness Properties of ML Programs
CrowdProve: Community Proving for ZK Rollups
Using LSTM Encoder-Decoder Algorithm for Detecting Anomalous ADS-B Messages
A Benchmarking Initiative for Audio-Domain Music Generation Using the Freesound Loop Dataset
BGE Landmark Embedding: A Chunking-Free Embedding Method For Retrieval Augmented Long-Context Large Language Models
SpeechStew: Simply Mix All Available Speech Recognition Data to Train One Large Neural Network
PALM: Open Fundus Photograph Dataset with Pathologic Myopia Recognition and Anatomical Structure Annotation
Global Fishing Watch: Bringing Transparency to Global Commercial Fisheries
YATE: The Role of Test Repair in LLM-Based Unit Test Generation
A geometric approach for the upper bound theorem for Minkowski sums of convex polytopes
Near-real time fires detection using satellite imagery in Sudan conflict
Channel-Aware Optimal Transport: A Theoretical Framework for Generative Communication
Node-Centric Graph Learning from Data for Brain State Identification
FlooNoC: A Multi-Tbps Wide NoC for Heterogeneous AXI4 Traffic
Discovering Mathematical Formulas from Data via GPT-guided Monte Carlo Tree Search
Proving Non-Deterministic Computations in Agda
Strong completions of spaces
C2F-Space: Coarse-to-Fine Space Grounding for Spatial Instructions using Vision-Language Models
WideDTA: prediction of drug-target binding affinity
Generalization Bounds for Quantum Learning via Rényi Divergences
Limits of Predictability in Commuting Flows in the Absence of Data for Calibration
Towards Highly Efficient State Estimation with Nonlinear Measurements in Distribution Systems
PulmoBell: Home-based Pulmonary Rehabilitation Assistive Technology for People with COPD
BMI: A Behavior Measurement Indicator for Fuel Poverty Using Aggregated Load Readings from Smart Meters
The Tower of Babel Meets Web 2.0: User-Generated Content and its Applications in a Multilingual Context
Generalized Network Tomography
On approximate decidability of minimal programs
PrediHealth: Telemedicine and Predictive Algorithms for the Care and Prevention of Patients with Chronic Heart Failure
Application of Microgrids in Supporting Distribution Grid Flexibility
On the gradual deployment of random pairwise key distribution schemes (Extended Version)
Fast DistilBERT on CPUs
Generalizing Unsupervised Lidar Odometry Model from Normal to Snowy Weather Conditions
MM-Vet v2: A Challenging Benchmark to Evaluate Large Multimodal Models for Integrated Capabilities
Effect of Cell-Selection on the Effective Fading Distribution in a Downlink K-tier HetNet
Semi-Supervised Cross-Modal Salient Object Detection with U-Structure Networks
Egyptian Ratscrew: Discovering Dominant Strategies with Computational Game Theory
Development and Validation of a Comprehensive Helicopter Flight Dynamics Code
Improving Deterministic Uncertainty Estimation in Deep Learning for Classification and Regression
Uncertainty Modelling in Deep Neural Networks for Image Data
Exploiting Manifold Structured Data Priors for Improved MR Fingerprinting Reconstruction
Learning Multimodal Transition Dynamics for Model-Based Reinforcement Learning
Smoothing Matters: Momentum Transformer for Domain Adaptive Semantic Segmentation
M3KE: A Massive Multi-Level Multi-Subject Knowledge Evaluation Benchmark for Chinese Large Language Models
A finer reduction of constraint problems to digraphs
Real-time visualisation of fugue played by a string quartet
Feasibility Preserving Constraint-Handling Strategies for Real Parameter Evolutionary Optimization
SMILES-Inspired Transfer Learning for Quantum Operators in Generative Quantum Eigensolver
Tuning a Cascaded Online Feedback Optimization Controller for Provision of Distributed Flexibility
Efficient Generation of Parameterised Quantum Circuits from Large Texts
Framework GNN-AID: Graph Neural Network Analysis Interpretation and Defense
What Should LLMs Forget? Quantifying Personal Data in LLMs for Right-to-Be-Forgotten Requests
Evaluation of Time Series Forecasting Models for Estimation of PM2.5 Levels in Air
Most Compact Parsimonious Trees
Modeling Dyadic Conversations for Personality Inference
Full-body High-resolution Anime Generation with Progressive Structure-conditional Generative Adversarial Networks
Virtual SAR: A Synthetic Dataset for Deep Learning based Speckle Noise Reduction Algorithms
Derivative Based Extended Regular Expression Matching Supporting Intersection, Complement and Lookarounds
End-to-End Autoencoder Communications with Optimized Interference Suppression
Evaluating LLMs' Reasoning Over Ordered Procedural Steps
Information Maximization Clustering via Multi-View Self-Labelling
HybridRAG-based LLM Agents for Low-Carbon Optimization in Low-Altitude Economy Networks
Relational E-Matching
GeoGrid-Bench: Can Foundation Models Understand Multimodal Gridded Geo-Spatial Data?
Exploring LLM Multi-Agents for ICD Coding
Continual Self-supervised Learning: Towards Universal Multi-modal Medical Data Representation Learning
How to boost autoencoders?
The Neural Differential Manifold: An Architecture with Explicit Geometric Structure
Socially Aware Kalman Neural Networks for Trajectory Prediction
Null/No Information Rate (NIR): a statistical test to assess if a classification accuracy is significant for a given problem
Massively Parallel Ray Tracing Algorithm Using GPU
Structural DID with ML: Theory, Simulation, and a Roadmap for Applied Research
Experimental review of distance sensors for indoor mapping
Static Analysis of Logic Programs via Boolean Networks
Smart and Efficient IoT-Based Irrigation System Design: Utilizing a Hybrid Agent-Based and System Dynamics Approach
Advancements in Point Cloud Data Augmentation for Deep Learning: A Survey
ForkNet: Simultaneous Time and Time-Frequency Domain Modeling for Speech Enhancement
Deep Learning for real-time neural decoding of grasp
Lagrangian Transport Through Surfaces in Compressible Flows
On Logical Extension of Algebraic Division
I love your chain mail! Making knights smile in a fantasy game world: Open-domain goal-oriented dialogue agents
Bayesian Analysis of Dynamic Linear Topic Models
Isometric Representations in Neural Networks Improve Robustness
RAVEN: RAnking and Validation of ExoplaNets
Control and Communication Protocols that Enable Smart Building Microgrids
Debias Can be Unreliable: Mitigating Bias Issue in Evaluating Debiasing Recommendation
NSF Broadband Research 2020 Report
Verification of Initial-State Opacity for Switched Systems: A Compositional Approach
How Deep Are the Fakes? Focusing on Audio Deepfake: A Survey
VAPI: Vectorization of Algorithm for Performance Improvement
Robust Face Tracking using Multiple Appearance Models and Graph Relational Learning
Performance Tuning of an Open-Source Parallel 3-D FFT Package OpenFFT
CoDeQ: End-to-End Joint Model Compression with Dead-Zone Quantizer for High-Sparsity and Low-Precision Networks
PGR-DRC: Pre-Global Routing DRC Violation Prediction Using Unsupervised Learning
On the Influence of Informed Agents on Learning and Adaptation over Networks
Entropy inequalities for random walks and permutations
Representing model inadequacy: A stochastic operator approach
Extending Foundational Monocular Depth Estimators to Fisheye Cameras with Calibration Tokens
The meaning of prompts and the prompts of meaning: Semiotic reflections and modelling
Discrete Effort Distribution via Regrettable Greedy Algorithm
The worst of both worlds: A comparative analysis of errors in learning from data in psychology and machine learning
The Nonlocal Neural Operator: Universal Approximation
Computer Assisted Parallel Program Generation
Geometric and Learning-based Mesh Denoising: A Comprehensive Survey
Who Coordinates U.S. Cyber Defense? A Co-Authorship Network Analysis of Joint Cybersecurity Advisories (2024-2025)
Miniature multihole airflow sensor for lightweight aircraft over wide speed and angular range
Plant Disease Detection from Images
Tensor methods for the computation of MTTA in large systems of loosely interconnected components
Revisiting the Properties of Money
NeRFoot: Robot-Footprint Estimation for Image-Based Visual Servoing
SSBE-PINN: A Sobolev Boundary Scheme Boosting Stability and Accuracy in Elliptic/Parabolic PDE Learning
Investigation of Shock-Capturing with Bound-Preserving Limiters for the Nonlinearly Stable Flux Reconstruction Method
LUND-PROBE - LUND Prostate Radiotherapy Open Benchmarking and Evaluation dataset
Structural focalization
A GLR-like Parsing Algorithm for Three-Valued Interpretations of Boolean Grammars with Strong Negation
Evaluating Standard and Dialectal Frisian ASR: Multilingual Fine-tuning and Language Identification for Improved Low-resource Performance
A Deep Learning Approach to Behavior-Based Learner Modeling
An overview of metrics-based approaches to support software components reusability assessment
Heuristic-Induced Multimodal Risk Distribution Jailbreak Attack for Multimodal Large Language Models
A linear filter regularization for POD-based reduced order models of the quasi-geostrophic equations
A Matrix-free Preconditioner for the Helmholtz Equation based on the Fast Multipole Method
An Extensive Review of Computational Dance Automation Techniques and Applications
Weakly-Supervised Detection of Bone Lesions in CT
ConKeD++ - Improving descriptor learning for retinal image registration: A comprehensive study of contrastive losses
High-order projection-based upwind method for simulation of transitional turbulent flows
WATUNet: A Deep Neural Network for Segmentation of Volumetric Sweep Imaging Ultrasound
From Argumentative Text to Argument Knowledge Graph: A New Framework for Structured Argumentation
Supervised Policy Update
On the Conservation of Number of Nodes and the Consumed Energy in Wireless Sensor Network: A Statistical Mechanics Approach
Hypergraph: A Unified and Uniform Definition with Application to Chemical Hypergraph
Fine-Tuning Pre-trained Large Time Series Models for Prediction of Wind Turbine SCADA Data
Reasoning with Higher-Order Abstract Syntax in a Logical Framework
A Law of Next-Token Prediction in Large Language Models
The Mechanics of Conceptual Interpretation in GPT Models: Interpretative Insights
World Value Functions: Knowledge Representation for Learning and Planning
Evaluating LLM-Generated Versus Human-Authored Responses in Role-Play Dialogues
Video-to-Audio Generation with Hidden Alignment
Interacting Geodesics on Discrete Manifolds
Improving Bitcoin's Resilience to Churn
Interest Networks (iNETs) for Cities: Cross-Platform Insights and Urban Behavior Explanations
ProtFlow: Fast Protein Sequence Design via Flow Matching on Compressed Protein Language Model Embeddings
Tree-Like Justification Systems are Consistent
Complex-valued deep learning with differential privacy
FACET: Force-Adaptive Control via Impedance Reference Tracking for Legged Robots
Achieving Flexible and Secure Authentication with Strong Privacy in Decentralized Networks
One-to-Multiple Clean-Label Image Camouflage (OmClic) based Backdoor Attack on Deep Learning
Function Follows Form: Regression from Complete Thoracic Computed Tomography Scans
Reach-Avoid-Stay-Collision-Avoidance Negotiation Framework for Multi-Agent Systems via Spatiotemporal Tubes