yusuke1997/dblp-id-title huggingface dataset:
A Comprehensive Survey on Radio Frequency (RF) Fingerprinting: Traditional Approaches, Deep Learning, and Open Challenges
Normalizing Flows on Riemannian Manifolds
Plugging Attention into Power Grids: Towards Transparent Forecasting
Visually Grounded VQA by Lattice-based Retrieval
Phase-space iterative solvers
A multi-layer reactive transport model for fractured porous media
Graph-Eq: Discovering Mathematical Equations using Graph Generative Models
Learning Behavior Recognition in Smart Classroom with Multiple Students Based on YOLOv5
ADMM-based Networked Stochastic Variational Inference
Faster Least Squares Approximation
Empowering Smaller Models: Tuning LLaMA and Gemma with Chain-of-Thought for Ukrainian Exam Tasks
CLPSTNet: A Progressive Multi-Scale Convolutional Steganography Model Integrating Curriculum Learning
Application of ICA on Self-Interference Cancellation of In-band Full Duplex Systems
Monotone Bounded Depth Formula Complexity of Graph Homomorphism Polynomials
LEAVEN - Lightweight Surface and Volume Mesh Sampling Application for Particle-based Simulations
A New Pseudo-color Technique Based on Intensity Information Protection for Passive Sensor Imagery
Ensuring Consistency for In-Image Translation
Personal Fixations-Based Object Segmentation with Object Localization and Boundary Preservation
ANO : Faster is Better in Noisy Landscape
Opportunistic Routing with Congestion Diversity in Wireless Ad-hoc Networks
Ascending auctions and Walrasian equilibrium
Degrees of Laziness in Grounding: Effects of Lazy-Grounding Strategies on ASP Solving
Infinite-Homography as Robust Conditioning for Camera-Controlled Video Generation
An Approach to Sparse Continuous-time System Identification from Unevenly Sampled Data
A Comprehensive Vision on Cloud Computing Environment: Emerging Challenges and Future Research Directions
Enhancing Marine Data Transmission with Socially-Aware Resilient Vessel Networks
TGPR: Tree-Guided Policy Refinement for Robust Self-Debugging of LLMs
From Occlusion to Insight: Object Search in Semantic Shelves using Large Language Models
Every Pixel Matters: Center-aware Feature Alignment for Domain Adaptive Object Detector
SG-Tailor: Inter-Object Commonsense Relationship Reasoning for Scene Graph Manipulation
High-Order Discontinuous Galerkin Methods by GPU Metaprogramming
A Comparative Study of Interdisciplinarity in Sciences in South Korea, Turkey, and USA
Word Embeddings for Automatic Equalization in Audio Mixing
Multilingual ASR with Massive Data Augmentation
WebAssembly and Security: a review
An Open-Source, Reproducible Tensegrity Robot that can Navigate Among Obstacles
GAN Cocktail: mixing GANs without dataset access
LLM-based Test-driven Interactive Code Generation: User Study and Empirical Evaluation
Towards multi-modal anatomical landmark detection for ultrasound-guided brain tumor resection with contrastive learning
Generative Modeling on Lie Groups via Euclidean Generalized Score Matching
Distributed Multi-Task Learning with Shared Representation
PoolLines: Modeling Carpooling as Ephemeral Lines in GTFS for effective integration with Public Transit
The Hardest Halfspace
Rate-Compatible Protograph-based LDPC Codes for Inter-Symbol Interference Channels
Distribution augmentation for low-resource expressive text-to-speech
FLECS-CGD: A Federated Learning Second-Order Framework via Compression and Sketching with Compressed Gradient Differences
Multiple Approaches for Teaching Responsible Computing
Proceedings of the Thirteenth Workshop on Trends in Functional Programming in Education, TFPIE 2024, South Orange, New Jersey, USA, 9th January 2024
Structured Prediction for CRiSP Inverse Kinematics Learning with Misspecified Robot Models
Algorithms and optimizations for global non-linear hybrid fluid-kinetic finite element stellarator simulations
EarlyStopping: Implicit Regularization for Iterative Learning Procedures in Python
Fast and accurate sentiment classification using an enhanced Naive Bayes model
Minimizing maximum lateness in bi-level projects by tropical optimization
Clustering doc2vec output for topic-dimensionality reduction: A MITRE ATT&CK calibration
Constructive Discrepancy Minimization by Walking on The Edges
Fusion Intelligence for Digital Twinning AI Data Centers: A Synergistic GenAI-PhyAI Approach
Population Seeding Techniques for Rolling Horizon Evolution in General Video Game Playing
Quantum-inspired Reinforcement Learning for Synthesizable Drug Design
Evaluation of Noise and Crosstalk in Neutral Atom Quantum Computers
Generalized Gumbel-Softmax Gradient Estimator for Various Discrete Random Variables
Introducing SSBD+ Dataset with a Convolutional Pipeline for detecting Self-Stimulatory Behaviours in Children using raw videos
NAVRepair: Node-type Aware C/C++ Code Vulnerability Repair
How Deep Neural Networks Can Improve Emotion Recognition on Video Data
A New Perspective to Boost Performance Fairness for Medical Federated Learning
Random Circuit Sampling: Fourier Expansion and Statistics
IoTScanner: Detecting and Classifying Privacy Threats in IoT Neighborhoods
Detecting QT prolongation From a Single-lead ECG With Deep Learning
Examining Racial Bias in an Online Abuse Corpus with Structural Topic Modeling
Sign-curing local Hamiltonians: termwise versus global stoquasticity and the use of Clifford transformations
Space-time Non-local multi-continua upscaling for parabolic equations with moving channelized media
NF-ULA: Langevin Monte Carlo with Normalizing Flow Prior for Imaging Inverse Problems
A Reinforcement Learning-based Economic Model Predictive Control Framework for Autonomous Operation of Chemical Reactors
Deconstructed Proto-Quipper: A Rational Reconstruction
Mosaic: Model-based Safety Analysis Framework for AI-enabled Cyber-Physical Systems
An Untethered Brittle Star Robot for Closed-Loop Underwater Locomotion
Cost-optimized probabilistic maintenance for condition monitoring of wind turbines with rare failures
Covariance Scattering Transforms
ON-DEMAND-FL: A Dynamic and Efficient Multi-Criteria Federated Learning Client Deployment Scheme
Evaluating Robustness of Deep Reinforcement Learning for Autonomous Surface Vehicle Control in Field Tests
Synergy-Guided Regional Supervision of Pseudo Labels for Semi-Supervised Medical Image Segmentation
Local Multiple Directional Pattern of Palmprint Image
Learning Quantized Continuous Controllers for Integer Hardware
Building Machine Translation Systems for the Next Thousand Languages
Topological Optimal Transport for Geometric Cycle Matching
Data-driven Insights for Informed Decision-Making: Applying LSTM Networks for Robust Electricity Forecasting in Libya
What are the Receptive, Effective Receptive, and Projective Fields of Neurons in Convolutional Neural Networks?
Mathematical exploration and discovery at scale
Dividing sums of cycles in the semiring of functional digraphs
I3S: Importance Sampling Subspace Selection for Low-Rank Optimization in LLM Pretraining
A Framework for Transceiver Designs for Multi-Hop Communications with Covariance Shaping Constraints
SaVi: satellite constellation visualization
Learning the Multiple Traveling Salesmen Problem with Permutation Invariant Pooling Networks
A comment on Guo et al. [arXiv: 2206.11228]
Deep Autoencoder based Energy Method for the Bending, Vibration, and Buckling Analysis of Kirchhoff Plates
Neural MJD: Neural Non-Stationary Merton Jump Diffusion for Time Series Prediction
PrNet: A Neural Network for Correcting Pseudoranges to Improve Positioning with Android Raw GNSS Measurements
Recombinant dynamical systems
Detecting Parkinson's Disease from interactions with a search engine: Is expert knowledge sufficient?
On the Connectedness and Diameter of a Geometric Johnson Graph
Polarization and Index Modulations: a Theoretical and Practical Perspective
Point2Vec for Self-Supervised Representation Learning on Point Clouds
Improve Retrieval-based Dialogue System via Syntax-Informed Attention
iiANET: Inception Inspired Attention Hybrid Network for efficient Long-Range Dependency
Knowledge-Grounded Reinforcement Learning
Multi-Objective PMU Allocation for Resilient Power System Monitoring
Mechanics-Informed Machine Learning for Geospatial Modeling of Soil Liquefaction: Global and National Surrogate Models for Simulation and Near-Real-Time Response
Efficient Nonlinear Fourier Transform Algorithms of Order Four on Equispaced Grid
Cyber-physical Defense for Heterogeneous Multi-agent Systems Against Exponentially Unbounded Attacks on Signed Digraphs
The Ground Truth Trade-Off in Wearable Sensing Studies
Comparing Different Deep Learning Architectures for Classification of Chest Radiographs
Past, Present, and Future of Sensor-based Human Activity Recognition using Wearables: A Surveying Tutorial on a Still Challenging Task
Pattern recognition using inverse resonance filtration
Algorithmic complexity in Computational Biology
Approximate Top- k for Increased Parallelism
View Correspondence Network for Implicit Light Field Representation
Singing Syllabi with Virtual Avatars: Enhancing Student Engagement Through AI-Generated Music and Digital Embodiment
Multilingual Code Co-Evolution Using Large Language Models
Relational dynamic memory networks
Beyond Fast and Slow: Cognitive-Inspired Elastic Reasoning for Large Language Models
Design and Evaluation of Torque Compensation Controllers for a Lower Extremity Exoskeleton
Rusty Variation: Deadlock-free Sessions with Failure in Rust
Stutter-Solver: End-to-end Multi-lingual Dysfluency Detection
Popping Bubbles in Pangenome Graphs
Equivariant Goal Conditioned Contrastive Reinforcement Learning
Certified Randomness from Bell's Theorem and Remote State Preparation Dimension Witness
Lost in Transmission: When and Why LLMs Fail to Reason Globally
Neural Volume Super-Resolution
LaVA-Man: Learning Visual Action Representations for Robot Manipulation
Matroidal Degree-Bounded Minimum Spanning Trees
Anti-Aliasing Add-On for Deep Prior Seismic Data Interpolation
T3former: Temporal Graph Classification with Topological Machine Learning
Combined Model for Partially-Observable and Non-Observable Task Switching: Solving Hierarchical Reinforcement Learning Problems Statically and Dynamically with Transfer Learning
Mixup Barcodes: Quantifying Geometric-Topological Interactions between Point Clouds
Combining Efficient and Precise Sign Language Recognition: Good pose estimation library is all you need
Detection of Fake Users in SMPs Using NLP and Graph Embeddings
Weakly Supervised Change Detection via Knowledge Distillation and Multiscale Sigmoid Inference
Anonymizing Data for Privacy-Preserving Federated Learning
GMS-VINS:Multi-category Dynamic Objects Semantic Segmentation for Enhanced Visual-Inertial Odometry Using a Promptable Foundation Model
Fatigue-aware Bandits for Dependent Click Models
Hybrid Diffusion for Simultaneous Symbolic and Continuous Planning
Deep learning based Meta-modeling for Multi-objective Technology Optimization of Electrical Machines
Efficient Out-of-Distribution Detection of Melanoma with Wavelet-based Normalizing Flows
Charge-conserving hybrid methods for the Yang-Mills equations
Parallel Black-Box Complexity with Tail Bounds
Finding Prerequisite Relations between Concepts using Textbook
Modeling Emergent Lexicon Formation with a Self-Reinforcing Stochastic Process
XOR at a Single Vertex -- Artificial Dendrites
PPV modelling of memristor-based oscillator
Universal Multi-Domain Translation via Diffusion Routers
Weakly Supervised-Based Oversampling for High Imbalance and High Dimensionality Data Classification
Generalized LSTM-based End-to-End Text-Independent Speaker Verification
Transform-Invariant Non-Parametric Clustering of Covariance Matrices and its Application to Unsupervised Joint Segmentation and Action Discovery
Learning functions on symmetric matrices and point clouds via lightweight invariant features
Object-Centric World Model for Language-Guided Manipulation
HALP: Hardware-Aware Latency Pruning
Before we can find a model, we must forget about perfection
Defending Text-to-image Diffusion Models: Surprising Efficacy of Textual Perturbations Against Backdoor Attacks
Distort, Distract, Decode: Instruction-Tuned Model Can Refine its Response from Noisy Instructions
A multilinear Nyström algorithm for low-rank approximation of tensors in Tucker format
Dynamic super-resolution in particle tracking problems
Searching edges in the overlap of two plane graphs
Optimizing Fluid Antenna Configurations for Constructive Interference Precoding
PMLB v1.0: an open source dataset collection for benchmarking machine learning methods
An Active Inference Model of Mouse Point-and-Click Behaviour
A Family of Kernelized Matrix Costs for Multiple-Output Mixture Neural Networks
Generalized Internal Boundaries (GIB)
MINRES for second-order PDEs with singular data
Efficient Prediction of DNA-Binding Proteins Using Machine Learning
An Object-Based Deep Learning Approach for Building Height Estimation from Single SAR Images
STARE-VLA: Progressive Stage-Aware Reinforcement for Fine-Tuning Vision-Language-Action Models
Diversity Recommendation via Causal Deconfounding of Co-purchase Relations and Counterfactual Exposure
Linear Convergence of An Iterative Phase Retrieval Algorithm with Data Reuse
Single-Net Continual Learning with Progressive Segmented Training (PST)
Heterogeneous Noisy Short Signal Camouflage in Multi-Domain Environment Decision-Making
Performance Control of Tendon-Driven Endoscopic Surgical Robots With Friction and Hysteresis
Accessibility of Virtual Reality Locomotion Modalities to Adults and Minors
Supporting Multiprocessor Resource Synchronization Protocols in RTEMS
PIR-RAG: A System for Private Information Retrieval in Retrieval-Augmented Generation
Non-Parametric Probabilistic Robustness: A Conservative Metric with Optimized Perturbation Distributions
Ground Roll Suppression using Convolutional Neural Networks
PUC-Logic embedding of Lewis' Deontic Logics
Multiple models of Bayesian networks applied to offline recognition of Arabic handwritten city names
Dispatcher: A Message-Passing Approach To Language Modelling
Physics-Informed Neural Networks for Real-Time Gas Crossover Prediction in PEM Electrolyzers: First Application with Multi-Membrane Validation
The second weight of generalized Reed-Muller codes
Multibiometric Secure System Based on Deep Learning
PEDENet: Image Anomaly Localization via Patch Embedding and Density Estimation
A Comparative Study of the Signal-to-Noise Ratios of Different Representations for Symbolic Sequences
Distance estimation with efference copies and optical flow maneuvers: a stability-based strategy
Testing for Normality with Neural Networks
Deep Learning Approach for Intelligent Named Entity Recognition of Cyber Security
Learning Graph Normalization for Graph Neural Networks
Complex Contagions with Timers
Ternary Singular Value Decomposition as a Better Parameterized Form in Linear Mapping
Proximal Gradient Dynamics and Feedback Control for Equality-Constrained Composite Optimization
The Impact of Medicaid Expansion on Medicare Quality Measures
1-Extendability of independent sets
TRIP: Refining Image-to-Image Translation via Rival Preferences
Geometric structure of shallow neural networks and constructive L 2 cost minimization
Static Batching of Irregular Workloads on GPUs: Framework and Application to Efficient MoE Model Inference
High-Fidelity and Low-Latency Universal Neural Vocoder based on Multiband WaveRNN with Data-Driven Linear Prediction for Discrete Waveform Modeling
Capacity Optimized For Multicarrier OFDM-MIMO Antenna Systems
On-line Optimal Ranging Sensor Deployment for Robotic Exploration
Validation of massively-parallel adaptive testing using dynamic control matching
Optimizing Oil and Gas Acquisitions Using Recommender Systems
The value of peripheral nodes in controlling multilayer networks
Feature-Enhanced TResNet for Fine-Grained Food Image Classification
Combining Type Checking and Formal Verification for Lightweight OS Correctness
EEG Signal Processing using Wavelets for Accurate Seizure Detection through Cost Sensitive Data Mining
Low-Complexity and Information-Theoretic Optimal Memory AMP for Coded Generalized MIMO
When 'YES' Meets 'BUT': Can Large Models Comprehend Contradictory Humor Through Comparative Reasoning?
Uncertainty-aware deep learning for digital twin-driven monitoring: Application to fault detection in power lines
Model-Free Reinforcement Learning for Financial Portfolios: A Brief Survey
{s,t}-Separating Principal Partition Sequence of Submodular Functions
Robustness of Unsupervised Representation Learning without Labels
ManipDreamer: Boosting Robotic Manipulation World Model with Action Tree and Visual Guidance
Parameter Dependent Chen-Fliess Series and Their Nonrecursive Interconnections
Holographic MIMO Empowered NOMA-ISAC for 6G: Rate-Splitting Enhanced Near-Field Modeling, Multi-Objective Optimization, and Statistical Performance Validation
Splitwiser: Efficient LM inference with constrained resources
Opportunities and Challenges for Circuit Board Level Hardware Description Languages
Drainage: A Unifying Framework for Addressing Class Uncertainty
Noise-expansion cascade: an origin of randomness of turbulence
Rewarding High-Quality Data via Influence Functions
Vulnerability Detection: From Formal Verification to Large Language Models and Hybrid Approaches: A Comprehensive Overview
Quantum Visual Word Sense Disambiguation: Unraveling Ambiguities Through Quantum Inference Model
Patch-Based Image Restoration using Expectation Propagation
Coded Privacy-Preserving Computation at Edge Networks
Interacting Conceptual Spaces
Toward Low-Latency End-to-End Voice Agents for Telecommunications Using Streaming ASR, Quantized LLMs, and Real-Time TTS
Filter Drug-induced Liver Injury Literature with Natural Language Processing and Ensemble Learning
AutoML in Cybersecurity: An Empirical Study
REALM: RAG-Driven Enhancement of Multimodal Electronic Health Records Analysis via Large Language Models
Part-of-Speech Tagger for Bodo Language using Deep Learning approach
FoodRL: A Reinforcement Learning Ensembling Framework For In-Kind Food Donation Forecasting
ICE: Interactive 3D Game Character Editing via Dialogue
Revisiting Paraphrase Question Generator using Pairwise Discriminator
Optimistic Policy Optimization is Provably Efficient in Non-stationary MDPs
Wrangling Messy CSV Files by Detecting Row and Type Patterns
Mix-Pooling Strategy for Attention Mechanism
Secrecy Outage and Diversity Analysis of Spectrum-Sharing Heterogeneous Wireless Systems
Minimizing Unsatisfaction in Colorful Neighborhoods
Latent Nonlinear Denoising Score Matching for Enhanced Learning of Structured Distributions
Discovering Individual Rewards in Collective Behavior through Inverse Multi-Agent Reinforcement Learning
Learning to Solve Multiresolution Matrix Factorization by Manifold Optimization and Evolutionary Metaheuristics
Instruction Learning Paradigms: A Dual Perspective on White-box and Black-box LLMs
Implementation of Lenia as a Reaction-Diffusion System
Adaptive Modeling of Satellite-Derived Nighttime Lights Time-Series for Tracking Urban Change Processes Using Machine Learning
Sparse Activity and Sparse Connectivity in Supervised Learning
Real-Time Dynamic Optimal Power Flow in Electric Vehicles Considering the Lifetime of the Components in the E-Powertrain
Effective-LDAM: An Effective Loss Function To Mitigate Data Imbalance for Robust Chest X-Ray Disease Classification
SemanticControl: A Training-Free Approach for Handling Loosely Aligned Visual Conditions in ControlNet
Blocking a transition in a Free Choice net and what it tells about its throughput
On the capabilities of grammars, automata, and transducers controlled by monoids
Enhancing Image Caption Generation Using Reinforcement Learning with Human Feedback
Threat Detection for General Social Engineering Attack Using Machine Learning Techniques
A State-of-the-Art Morphosyntactic Parser and Lemmatizer for Ancient Greek
Synthetic Medical Imaging Generation with Generative Adversarial Networks For Plain Radiographs
Graphon Mixtures
Learning Sparse Visual Representations with Leaky Capped Norm Regularizers
Reinforcement-based Simultaneous Algorithm and its Hyperparameters Selection
MeshCraft: Exploring Efficient and Controllable Mesh Generation with Flow-based DiTs
Extracting Process-Aware Decision Models from Object-Centric Process Data
Physics-Informed LLM-Agent for Automated Modulation Design in Power Electronics Systems
Kuramoto Oscillators and Swarms on Manifolds for Geometry Informed Machine Learning
Planted: a dataset for planted forest identification from multi-satellite time series
Fast Learnings of Coupled Nonnegative Tensor Decomposition Using Optimal Gradient and Low-rank Approximation
Commande rapprochée d'un IGBT pour l'atténuation des perturbations électromagnétiques
Unveiling the Invisible: Enhanced Detection and Analysis of Deteriorated Areas in Solar PV Modules Using Unsupervised Sensing Algorithms and 3D Augmented Reality
MECHA: Multithreaded and Efficient Cryptographic Hardware Access
Patch-aware Batch Normalization for Improving Cross-domain Robustness
Arabic Speech Emotion Recognition Employing Wav2vec2.0 and HuBERT Based on BAVED Dataset
Rank and pairs of Rank and Dimension of Kernel of Z p Z p 2 -linear codes
Sub-Nyquist Radar: Principles and Prototypes
IPEval: A Bilingual Intellectual Property Agency Consultation Evaluation Benchmark for Large Language Models
SWE-smith: Scaling Data for Software Engineering Agents
Nonuniformly weighted Schwarz smoothers for spectral element multigrid
LMStyle Benchmark: Evaluating Text Style Transfer for Chatbots
Recurrent Inference Machines as inverse problem solvers for MR relaxometry
Towards Streamer-Free Marine Seismic Surveys: The Role of Formation Control Systems
Brain-inspired Search Engine Assistant based on Knowledge Graph
Computability of Equilibria in Markets with Production
Macroscopic pricing schemes for the utilization of pool ride-hailing vehicles in bus lanes
An efficient algorithm for computing the edit distance of a regular language via input-altering transducers
Learning to Rank with Top- K Fairness
Efficient Numerical Scheme for Solving (1+1), (2+1)-dimensional and Coupled Burgers Equation
Everything that can be learned about a causal structure with latent variables by observational and interventional probing schemes
Empirical Measurements of Disk Failure Rates and Error Rates
An Anthropic Argument against the Future Existence of Superintelligent Artificial Intelligence
Profiling and optimization of multi-card GPU machine learning jobs
SPEER: Sentence-Level Planning of Long Clinical Summaries via Embedded Entity Retrieval
Energy Spatio-Temporal Pattern Prediction for Electric Vehicle Networks
Real-time 3D Semantic Scene Completion Via Feature Aggregation and Conditioned Prediction
GPT-PINN: Generative Pre-Trained Physics-Informed Neural Networks toward non-intrusive Meta-learning of parametric PDEs
Scalable Artificial Intelligence for Science: Perspectives, Methods and Exemplars
PhyOT: Physics-informed object tracking in surveillance cameras
Training Together, Diagnosing Better: Federated Learning for Collagen VI-Related Dystrophies
MVInverse: Feed-forward Multi-view Inverse Rendering in Seconds
Bridging Domain Gaps between Pretrained Multimodal Models and Recommendations
Automating Direct Speech Variations in Stories and Games
Inductive diagrams for causal reasoning
Towards Using Data to Inform Decisions in Agile Software Development: Views of Available Data
Molecule Property Prediction and Classification with Graph Hypernetworks
K-Regret Queries: From Additive to Multiplicative Utilities
On Intra Prediction for Screen Content Video Coding
Harnessing the Power of LLMs, Informers and Decision Transformers for Intent-driven RAN Management in 6G
A Coupled Hydro-Morphodynamic Model for Sediment Transport using the Moment Approach
Approximations for the Moments of Nonstationary and State Dependent Birth-Death Queues
AdaptDHM: Adaptive Distribution Hierarchical Model for Multi-Domain CTR Prediction
Correlation dimension of complex networks
Understanding Cloud Workloads Performance in a Production like Environment
Symbolic Exact Inference for Discrete Probabilistic Programs
Data-Driven Construction of Data Center Graph of Things for Anomaly Detection