yusuke1997/dblp-id-title huggingface dataset:
A novel class of stabilized greedy kernel approximation algorithms: Convergence, stability & uniform point distribution
Metamorphic Virus Variants Classification Using Opcode Frequency Histogram
Topological Coding and Topological Matrices Toward Network Overall Security
Full-Stack End-To-End mmWave Simulations Using 3GPP and NYUSIM Channel Model in ns-3
Attention and Localization based on a Deep Convolutional Recurrent Model for Weakly Supervised Audio Tagging
Finite element analysis of density estimation using preintegration for elliptic PDE with random input
LogicPuzzleRL: Cultivating Robust Mathematical Reasoning in LLMs via Reinforcement Learning
A circuit for predicting hierarchical structure in-context in Large Language Models
A Formalization of the Yul Language and Some Verified Yul Code Transformations
VNI-Net: Vector Neurons-based Rotation-Invariant Descriptor for LiDAR Place Recognition
On Minimum-time Paths of Bounded Curvature with Position-dependent Constraints
An entropy-stable and fully well-balanced scheme for the Euler equations with gravity. II: General equations of state
Justifications for Logic Programs under Answer Set Semantics
Financial Fine-tuning a Large Time Series Model
Large Language Models for Propaganda Detection
Further results on generalized cellular automata
Automating Sensor Characterization with Bayesian Optimization
1-planar graphs with minimum degree at least 3 have bounded girth
Concentration and maximin fair allocations for subadditive valuations
Automatically Segment the Left Atrium and Scars from LGE-MRIs Using a Boundary-focused nnU-Net
Hardness of SetCover Reoptimization
Graph Exploration with Embedding-Guided Layouts
Non-Fungible Programs: Private Full-Stack Applications for Web3
A deep learning-based model reduction (DeePMR) method for simplifying chemical kinetics
Quantum Logic Locking (QLL): Safeguarding Intellectual Property for Quantum Circuits
Times series averaging and denoising from a probabilistic perspective on time-elastic kernels
Who Spoke What? A Latent Variable Framework for the Joint Decoding of Multiple Speakers and their Keywords
Integrating Identity-Based Identification against Adaptive Adversaries in Federated Learning
A Linearly Convergent Algorithm for Distributed Principal Component Analysis
Prediction Of Cryptocurrency Prices Using LSTM, SVM And Polynomial Regression
Game Theory Based Community-Aware Opinion Dynamics
Improving Latency with Active Queue Management (AQM) During COVID-19
Separation of Body and Background in Radiological Images. A Practical Python Code
Towards Better Generalization via Distributional Input Projection Network
Detecting Suicidal Ideation in Text with Interpretable Deep Learning: A CNN-BiGRU with Attention Mechanism
Assessment of Differentially Private Synthetic Data for Utility and Fairness in End-to-End Machine Learning Pipelines for Tabular Data
Retraction Mechanism of Soft Torus Robot with a Hydrostatic Skeleton
Unsupervised Welding Defect Detection Using Audio And Video
Information Consistent Pruning: How to Efficiently Search for Sparse Networks?
An Adaptive Honeypot Configuration, Deployment and Maintenance Strategy
Lossless Acceleration for Seq2seq Generation with Aggressive Decoding
Attack-Specialized Deep Learning with Ensemble Fusion for Network Anomaly Detection
Stacked Generalization for Human Activity Recognition
Improving Inference Performance of Machine Learning with the Divide-and-Conquer Principle
Characterizations of Decomposable Dependency Models
SelEx: Self-Expertise in Fine-Grained Generalized Category Discovery
Aggregation Schemes for Single-Vector WSI Representation Learning in Digital Pathology
Domain decomposition architectures and Gauss-Newton training for physics-informed neural networks
TinyVQA: Compact Multimodal Deep Neural Network for Visual Question Answering on Resource-Constrained Devices
HyBNN and FedHyBNN: (Federated) Hybrid Binary Neural Networks
Exercise Motion Classification from Large-Scale Wearable Sensor Data Using Convolutional Neural Networks
Language model driven: a PROTAC generation pipeline with dual constraints of structure and property
FreezeAsGuard: Mitigating Illegal Adaptation of Diffusion Models via Selective Tensor Freezing
On the Capacity of the Joint Time and Concentration Modulation for Molecular Communications
Covid-19 classification with deep neural network and belief functions
PACIFIC: a framework for generating benchmarks to check Precise Automatically Checked Instruction Following In Code
Monitoring Urban Forests from Auto-Generated Segmentation Maps
Bayesian mixed-effect models for independent dynamic social network data
Lost in Translation: When GPT-4V(ision) Can't See Eye to Eye with Text. A Vision-Language-Consistency Analysis of VLLMs and Beyond
Security Issues on the OpenPLC project and corresponding solutions
Towards an Efficient Tree Automata based technique for Timed Systems
Cerny-Starke conjecture from the sixties of XX century
A New Definition of Demand Response in the Distributed Energy Resource Era
FastqZip: An Improved Reference-Based Genome Sequence Lossy Compression Framework
BitUP: Efficient Bitmap Data Storage Solution For User Profile
Non-contact Sensing for Anomaly Detection in Wind Turbine Blades: A focus-SVDD with Complex-Valued Auto-Encoder Approach
To Memory Safety through Proofs
Graph Information Vanishing Phenomenon inImplicit Graph Neural Networks
An Extended Kalman Filter for Systems with Infinite-Dimensional Measurements
Social Engagement of Children with Autism during Interaction with a Robot
A Proposed Infrastructure for Adding Online Interaction to Any Evolutionary Domain
Bipartite Envy-Free Matching
ActFormer: A GAN Transformer Framework towards General Action-Conditioned 3D Human Motion Generation
A Two-Stage Imaging Framework Combining CNN and Physics-Informed Neural Networks for Full-Inverse Tomography: A Case Study in Electrical Impedance Tomography (EIT)
A Cooperative Game Approach for Energy Management of Interconnected Microgrids
ARB: A Comprehensive Arabic Multimodal Reasoning Benchmark
Accelerating Beam Sweeping in mmWave Standalone 5G New Radios using Recurrent Neural Networks
A Note on Semi-Algebraic Proofs and Gaussian Elimination over Prime Fields
MixUp as Directional Adversarial Training
Pre-processing in AI based Prediction of QSARs
Influence of Data Dimensionality Reduction Methods on the Effectiveness of Quantum Machine Learning Models
Visions in Theoretical Computer Science: A Report on the TCS Visioning Workshop 2020
Comprehensive Assessment of LiDAR Evaluation Metrics: A Comparative Study Using Simulated and Real Data
MRF-based multispectral image fusion using an adaptive approach based on edge-guided interpolation
Image Resolution Enhancement by Using Interpolation Followed by Iterative Back Projection
Impact of Layer Norm on Memorization and Generalization in Transformers
Report on 2023 CyberTraining PI Meeting, 26-27 September 2023
SEE-2-SOUND: Zero-Shot Spatial Environment-to-Spatial Sound
FURINA: Free from Unmergeable Router via LINear Aggregation of mixed experts
Video Event Recognition and Anomaly Detection by Combining Gaussian Process and Hierarchical Dirichlet Process Models
Multi-Fidelity Data-Driven Design and Analysis of Reactor and Tube Simulations
Minimax Weight Learning for Absorbing MDPs
Animatable Neural Radiance Fields for Human Body Modeling
Simultaneous and Proportional Finger Motion Decoding Using Spatial Features from High-Density Surface Electromyography
Do-Not-Answer: A Dataset for Evaluating Safeguards in LLMs
L 2 GC: Lorentzian Linear Graph Convolutional Networks For Node Classification
EFC++: Elastic Feature Consolidation with Prototype Re-balancing for Cold Start Exemplar-free Incremental Learning
Cost-aware LLM-based Online Dataset Annotation
Characterizations of probe interval graphs
Lightweight Adapter Learning for More Generalized Remote Sensing Change Detection
Conversational SimulMT: Efficient Simultaneous Translation with Large Language Models
On positionality of trigger strategies Nash Equilibria in SCAR
Implementation of SNR estimation based Energy Detection on USRP and GNU Radio for Cognitive Radio Networks
From Empirical Evaluation to Context-Aware Enhancement: Repairing Regression Errors with LLMs
Enhancing ML Models Interpretability for Credit Scoring
Smartphone-based Vehicle Telematics - A Ten-Year Anniversary
Biologically inspired design framework for Robot in Dynamic Environments using Framsticks
Who are the users of ChatGPT? Implications for the digital divide from web tracking data
TCP Congestion Control Scheme for Wireless Networks based on TCP Reserved Field and SNR Ratio
Can We Boost the Power of the Viola-Jones Face Detector Using Pre-processing? An Empirical Study
TransientTables: Evaluating LLMs' Reasoning on Temporally Evolving Semi-structured Tables
A Priori Error Analysis for the p -Stokes Equations with Slip Boundary Conditions: A Discrete Leray Projection Framework
The Functional Thermodynamics of Finite-State Maxwellian Ratchets
Double spend races
TransfoRNN: Capturing the Sequential Information in Self-Attention Representations for Language Modeling
Causal version of Principle of Insufficient Reason and MaxEnt
3D Human Mesh Regression with Dense Correspondence
R+R:Understanding Hyperparameter Effects in DP-SGD
NetAdaptV2: Efficient Neural Architecture Search with Fast Super-Network Training and Architecture Optimization
Tac2Motion: Contact-Aware Reinforcement Learning with Tactile Feedback for Robotic Hand Manipulation
Solving a Rubik's Cube Using its Local Graph Structure
ONNXim: A Fast, Cycle-level Multi-core NPU Simulator
Maneuver-Aware Pooling for Vehicle Trajectory Prediction
SIMF: Single-Instruction Multiple-Flush Mechanism for Processor Temporal Isolation
Two Birds with One Stone: Differential Privacy by Low-power SRAM Memory
Traces of Image Memorability in Vision Encoders: Activations, Attention Distributions and Autoencoder Losses
The Chvátal-Sankoff problem: Understanding random string comparison through stochastic processes
Ordered fragments of first-order logic
On the Evolution of Programming Languages
Statistical Robust Chinese Remainder Theorem for Multiple Numbers: Wrapped Gaussian Mixture Model
Theoretical Analysis for Expectation-Maximization-Based Multi-Model 3D Registration
Static Segmentation by Tracking: A Frustratingly Label-Efficient Approach to Fine-Grained Segmentation
RelatIF: Identifying Explanatory Training Examples via Relative Influence
Deep Autoencoder with SVD-Like Convergence and Flat Minima
Holmes-VAD: Towards Unbiased and Explainable Video Anomaly Detection via Multi-modal LLM
Code2Video: A Code-centric Paradigm for Educational Video Generation
Building a Relation Extraction Baseline for Gene-Disease Associations: A Reproducibility Study
Jacobi Hamiltonian Integrators
Towards Direct Comparison of Community Structures in Social Networks
Online Social Media Recommendation over Streams
Without a 'doubt'? Unsupervised discovery of downward-entailing operators
Embedding Data within Knowledge Spaces
Which Explanation Should I Choose? A Function Approximation Perspective to Characterizing Post hoc Explanations
Strategic aspects of the probabilistic serial rule for the allocation of goods
GuStL - An Experimental Guarded States Language
Improved quantum backtracking algorithms through effective resistance estimates
Managing Changes in Citizen-Centric Healthcare Service Platform using High Level Petri Net
Dual Numbers for Arbitrary Order Automatic Differentiation
Consistent World Models via Foresight Diffusion
3D geometric moment invariants from the point of view of the classical invariant theory
The Sound of Healthcare: Improving Medical Transcription ASR Accuracy with Large Language Models
Multi-Scale Spatially-Asymmetric Recalibration for Image Classification
Wireless Information and Power Transfer over an AWGN channel: Nonlinearity and Asymmetric Gaussian Signaling
$\mathcal C$-graph automatic groups
Towards Verification of Constituent Systems through Automated Proof
A Hamilton-Jacobi Reachability Framework with Soft Constraints for Safety-Critical Systems
Strategic Roadmap for Quantum- Resistant Security: A Framework for Preparing Industries for the Quantum Threat
Bottom-up Anytime Discovery of Generalised Multimodal Graph Patterns for Knowledge Graphs
Privacy at Facebook Scale
CoCoP: Enhancing Text Classification with LLM through Code Completion Prompt
MUVOD: A Novel Multi-view Video Object Segmentation Dataset and A Benchmark for 3D Segmentation
Novelty Detection on Radio Astronomy Data using Signatures
Explaining the Adaptive Generalisation Gap
Smart Energy Management with Optimized Prosumerism for Achieving Dynamic Net-Zero Balance in Electrified Road Transport Networks
Elastic properties of the degenerate f.c.c. crystal of polydisperse soft dimers at zero temperature
Set2Seq Transformer: Learning Permutation Aware Set Representations of Artistic Sequences
Exploration of object recognition from 3D point cloud
A Survey of Information Cascade Analysis: Models, Predictions and Recent Advances
Controllability of Degenerating Reaction-Diffusion System in Electrocardiology
A frequency-independent solver for systems of first order linear ordinary differential equations
Transceiver Design For SC-FDE Based MIMO Relay Systems
ChatGPT Inaccuracy Mitigation during Technical Report Understanding: Are We There Yet?
FinS-Pilot: A Benchmark for Online Financial System
ViT-FOD: A Vision Transformer based Fine-grained Object Discriminator
Probabilistic Structural Controllability in Causal Bayesian Networks
Systematic Literature Review on Clinical Trial Eligibility Matching
Flo: a Semantic Foundation for Progressive Stream Processing
AugmentTRAJ: A framework for point-based trajectory data augmentation
Dynamical Anatomy of NARMA10 Benchmark Task
Fast Color Constancy with Patch-wise Bright Pixels
Tools at the Frontiers of Quantitative Verification
Opportunistic Sensor-Based Multi-Factor Authentication in and for the Internet of Things
Speech Enhancement using Kernel and Normalized Kernel Affine Projection Algorithm
Learning to Learn without Forgetting By Maximizing Transfer and Minimizing Interference
In-Context Learning for Non-Stationary MIMO Equalization
Machine Learning in Official Statistics
A Survey of Community Search Over Big Graphs
Distributed Estimation and Detection with Bounded Transmissions over Gaussian Multiple Access Channels
Refining Similarity Matrices to Cluster Attributed Networks Accurately
Virtual Target Trajectory Prediction for Stochastic Targets
Mean dimension and rate-distortion function revisited
FIB: A Method for Evaluation of Feature Impact Balance in Multi-Dimensional Data
A Predictive Framework for Cyber Security Analytics using Attack Graphs
A Term-Based Methodology for Query Reformulation Understanding
Inference of a mesoscopic population model from population spike trains
TextCNN with Attention for Text Classification
Image denoising in acoustic field microscopy
A Type-Directed, Dictionary-Passing Translation of Featherweight Generic Go
LAA-Net: Localized Artifact Attention Network for High-Quality Deepfakes Detection
Cross-Modality Proposal-guided Feature Mining for Unregistered RGB-Thermal Pedestrian Detection
From Events to Reactions: A Progress Report
The Effect of Defect (Re) Prediction on Software Testing
Hybridizing Expressive Rendering: Stroke-Based Rendering with Classic and Neural Methods
VNHSGE: VietNamese High School Graduation Examination Dataset for Large Language Models
Performance of the SafeTerm AI-Based MedDRA Query System Against Standardised MedDRA Queries
Gaze-directed Vision GNN for Mitigating Shortcut Learning in Medical Image
A Universal Knowledge Embedded Contrastive Learning Framework for Hyperspectral Image Classification
Universal Obstructions of Graph Parameters
Age of Information Minimization in Goal-Oriented Communication with Processing and Cost of Actuation Error Constraints
PRRS Outbreak Prediction via Deep Switching Auto-Regressive Factorization Modeling
Unveiling the Secrets: How Masking Strategies Shape Time Series Imputation
A note on the central-upwind scheme for nonlocal conservation laws
Enhancing Decision Tree based Interpretation of Deep Neural Networks through L1-Orthogonal Regularization
Ruleformer: Context-aware Differentiable Rule Mining over Knowledge Graph
On Probabilistic and Causal Reasoning with Summation Operators
Stylized Meta-Album: Group-bias injection with style transfer to study robustness against distribution shifts
Diagrammatic Instructions to Specify Spatial Objectives and Constraints with Applications to Mobile Base Placement
ReGeneration Learning of Diffusion Models with Rich Prompts for Zero-Shot Image Translation
Video Reconstruction by Spatio-Temporal Fusion of Blurred-Coded Image Pair
AI's Blind Spots: Geographic Knowledge and Diversity Deficit in Generated Urban Scenario
Alternatives to speech in low bit rate communication systems
A Lane-Changing Prediction Method Based on Temporal Convolution Network
Judging Chemical Reaction Practicality From Positive Sample only Learning
Exploring the Relationship Between Model Architecture and In-Context Learning Ability
LRR-Bench: Left, Right or Rotate? Vision-Language models Still Struggle With Spatial Understanding Tasks
Multivariate Spearman's rho for aggregating ranks using copulas
The First French COVID19 Lockdown Twitter Dataset
A Simplicial Model for KB4 n : Epistemic Logic with Agents that May Die
Exploring Gender Differences in Chronic Pain Discussions on Reddit
On the Rate Achievable for Gaussian Relay Channels Using Superposition Forwarding
Selecting Optimal Sampling Rate for Stable Super-Resolution
Self-generated Self-similar Traffic
Link prediction Graph Neural Networks for structure recognition of Handwritten Mathematical Expressions
An Approach to Automatic Indexing of Scientific Publications in High Energy Physics for Database SPIRES HEP
Performance Analysis of Spectrum Sensing With Multiple Status Changes in Primary User Traffic
A Microgrid Deployment Framework to Support Drayage Electrification
Mitigating Label Noise using Prompt-Based Hyperbolic Meta-Learning in Open-Set Domain Generalization
State Diversity Matters in Offline Behavior Distillation
NeuSpring: Neural Spring Fields for Reconstruction and Simulation of Deformable Objects from Videos
Tackling Graphical NLP problems with Graph Recurrent Networks
Development of a Java Package for Matrix Programming
Long-Context Generalization with Sparse Attention
Splitting Schemes for Coupled Differential Equations: Block Schur-Based Approaches and Partial Jacobi Approximation
ALVIO: Adaptive Line and Point Feature-based Visual Inertial Odometry for Robust Localization in Indoor Environments
Safety of Flow Decompositions in DAGs
Can There be Art Without an Artist?
Statistical Inference and A/B Testing in Fisher Markets and Paced Auctions
Physical Zero-Knowledge Proof for Connected Spanning Subgraph Problem and Bridges Puzzle
ODMTCNet: An Interpretable Multi-view Deep Neural Network Architecture for Image Feature Representation
A dual branch deep neural network for classification and detection in mammograms
VTA: An Open Hardware-Software Stack for Deep Learning
Towards Learning from Graphs with Heterophily: Progress and Future
On State Dependent Broadcast Channels with Cooperation
Recognition of Oracle Bone Inscriptions by using Two Deep Learning Models
Adaptive Detector-Verifier Framework for Zero-Shot Polyp Detection in Open-World Settings
Graph embedding using multi-layer adjacent point merging model
WEPRO: Weight Prediction for Efficient Optimization of Hybrid Quantum-Classical Algorithms
Decoder-Hybrid-Decoder Architecture for Efficient Reasoning with Long Generation
Utilisation of Vision Systems and Digital Twin for Maintaining Cleanliness in Public Spaces
Estimates on Learning Rates for Multi-Penalty Distribution Regression
Decoding excellence: Mapping the demand for psychological traits of operations and supply chain professionals through text mining
A 3D-1D coupled blood flow and oxygen transport model to generate microvascular networks
Decentralized Vision-Based Byzantine Agent Detection in Multi-Robot Systems with IOTA Smart Contracts
USCD: Improving Code Generation of LLMs by Uncertainty-Aware Selective Contrastive Decoding
Adaptive Mixture Methods Based on Bregman Divergences
SLCA++: Unleash the Power of Sequential Fine-tuning for Continual Learning with Pre-training
Eigenvector dynamics under perturbation of modular networks
Incorporating Scalability in Unsupervised Spatio-Temporal Feature Learning
FOLD-SE: Scalable Explainable AI
Distributed MAC and Rate Adaptation for Ultrasonically Networked Implantable Sensors
Multilayer bootstrap network for unsupervised speaker recognition
This is not the padding you are looking for! On the ineffectiveness of QUIC PADDING against website fingerprinting
Logic and Topology for Knowledge, Knowability, and Belief - Extended Abstract
LabPipe: an extensible informatics platform to streamline management of metabolomics data and metadata
Open questions asked to analysis and numerics concerning the Hausdorff moment problem
Distributed Optimisation With Communication Delays
A Data-Driven Modeling Framework of Time-Dependent Switched Dynamical Systems via Extreme Learning Machine
Can a mobile robot learn from a pedestrian model to prevent the sidewalk salsa?
Robust Online Video Super-Resolution Using an Efficient Alternating Projections Scheme
Improvement on Asymptotic Density of Packing Families Derived from Multiplicative Lattices
OpenAPI Specification Extended Security Scheme: A method to reduce the prevalence of Broken Object Level Authorization
Towards Safe AI Clinicians: A Comprehensive Study on Large Language Model Jailbreaking in Healthcare
Helicity-conservative Physics-informed Neural Network Model for Navier-Stokes Equations
Unsupervised learning of text line segmentation by differentiating coarse patterns
Where to Fetch: Extracting Visual Scene Representation from Large Pre-Trained Models for Robotic Goal Navigation
What Lives? A meta-analysis of diverse opinions on the definition of life
UnrealStereo: A Synthetic Dataset for Analyzing Stereo Vision
Learning What Matters: Steering Diffusion via Spectrally Anisotropic Forward Noise
VAE-Based Synthetic EMG Generation with Mix-Consistency Loss for Recognizing Unseen Motion Combinations
User-Guided Personalized Image Aesthetic Assessment based on Deep Reinforcement Learning
BB: Booting Booster for Consumer Electronics with Modern OS
A Call to Arms: Revisiting Database Design
An Outcome-Based Educational Recommender System
Personalized Emotion Detection using IoT and Machine Learning
A deep learning model for gastric diffuse-type adenocarcinoma classification in whole slide images
Competitive on-line learning with a convex loss function
Multi-Party Dynamic State Estimation that Preserves Data and Model Privacy
GREEND: An Energy Consumption Dataset of Households in Italy and Austria
Predicting rice blast disease: machine learning versus process based models
Entropic Regularization in the Deep Linear Network
Programming Active Granular Matter with Mechanically Induced Phase Changes
Pre-trained Graphformer-based Ranking at Web-scale Search (Extended Abstract)
Evaluation of Ensemble Learning Techniques for handwritten OCR Improvement
A Multi-State Diagnosis and Prognosis Framework with Feature Learning for Tool Condition Monitoring
An Integrated and Scalable Platform for Proactive Event-Driven Traffic Management
Stress-constrained continuum topology optimization: a new approach based on elasto-plasticity
Hate Speech Classifiers Learn Human-Like Social Stereotypes
Deep Learning with Parametric Lenses
Epidemiological geographic profiling for a meta-population network
Element-Free Probability Distributions and Random Partitions
Uniting Control and Data Parallelism: Towards Scalable Memory-Driven Dynamic Graph Processing
Identifying Distributional Differences in Convective Evolution Prior to Rapid Intensification in Tropical Cyclones
One for All: Towards Training One Graph Model for All Classification Tasks
Chains of Kinematic Points
Online Harassment of Celebrities and Influencers
Perfect Memory Context Trees in time series modeling
Mixing Time for the Solid-on-Solid Model