yusuke1997/dblp-id-title huggingface dataset:
An efficient and fast sparse grid algorithm for high-dimensional numerical integration
Brain Network Construction and Classification Toolbox (BrainNetClass)
Knightian Robustness of Single-Parameter Domains
Higher-Order Clustering in Heterogeneous Information Networks
Covering Directed Graphs by In-trees
Potential Energy Advantage of Quantum Economy
Finger Force Decoding from Motor Units Activity on Neuromorphic Hardware
ArFake: A Multi-Dialect Benchmark and Baselines for Arabic Spoof-Speech Detection
Space and Chaos-Expansion Galerkin POD Low-order Discretization of PDEs for Uncertainty Quantification
A zero-sum monetary system, interest rates, and implications
Numerical Fragility in Transformers: A Layer-wise Theory for Explaining, Forecasting, and Mitigating Instability
On the Definition of Robustness and Resilience of AI Agents for Real-time Congestion Management
Building a real-time physical layer labeled data logging facility for 6G research
Algorithmic Identification of Essential Exogenous Nodes for Causal Sufficiency in Brain Networks
From unbiased MDI Feature Importance to Explainable AI for Trees
Semantics of the Black-Box: Can knowledge graphs help make deep learning systems more interpretable and explainable?
Better Labeling Schemes for Nearest Common Ancestors through Minor-Universal Trees
CLIP-IN: Enhancing Fine-Grained Visual Understanding in CLIP via Instruction Editing Data and Long Captions
Zero-shot topic generation
GenTT: Generate Vectorized Codes for General Tensor Permutation
An O^*(2.619^k) algorithm for 4-path vertex cover
An On-Device Federated Learning Approach for Cooperative Anomaly Detection
Demo of Zero-Shot Guitar Amplifier Modelling: Enhancing Modeling with Hyper Neural Networks
Leveraging Deliberately Generated Interferences for Multi-sensor Wireless RF Power Transmission
Automatic Speech Recognition Using Template Model for Man-Machine Interface
MADiff: Motion-Aware Mamba Diffusion Models for Hand Trajectory Prediction on Egocentric Videos
Security of the Internet of Things: Vulnerabilities, Attacks and Countermeasures
Sketch-Based Estimation of Subpopulation-Weight
Secure Lossless Compression with Side Information
Modeling Dengue Vector Population Using Remotely Sensed Data and Machine Learning
DynoStore: A wide-area distribution system for the management of data over heterogeneous storage
Current Flow Group Closeness Centrality for Complex Networks
Improved DDIM Sampling with Moment Matching Gaussian Mixtures
Learning to search for and detect objects in foveal images using deep learning
Student Teamwork on Programming Projects: What can GitHub logs show us?
On OR Many-Access Channels
On Polynomial Approximation of Activation Function
Classification of Local Problems on Paths from the Perspective of Descriptive Combinatorics
PnP-AdaNet: Plug-and-Play Adversarial Domain Adaptation Network with a Benchmark at Cross-modality Cardiac Segmentation
Multimodal Contrastive Pretraining of CBCT and IOS for Enhanced Tooth Segmentation
Reflections Unlock: Geometry-Aware Reflection Disentanglement in 3D Gaussian Splatting for Photorealistic Scenes Rendering
High-order Order Proximity-Incorporated, Symmetry and Graph-Regularized Nonnegative Matrix Factorization for Community Detection
Towards Multimodal Multitask Scene Understanding Models for Indoor Mobile Agents
Weighted Essentially Non-Oscillatory stochastic Galerkin approximation for hyperbolic conservation laws
Fine Synchronization through UWB TH-PPM Impulse Radios
The KL3M Data Project: Copyright-Clean Training Resources for Large Language Models
Maintaining Optimality in Assignment Problem against Weight Updates around Vertices
Mind the Gap: Removing the Discretization Gap in Differentiable Logic Gate Networks
Null-Space Diffusion Distillation for Efficient Photorealistic Lensless Imaging
Convolutional Dictionary Learning
Low-Cost SMS Driven Location Tracking Platform Towards Anti-Poaching Efforts
A Multi-view Dimensionality Reduction Algorithm Based on Smooth Representation Model
A Formal Method for Mapping Software Engineering Practices to Essence
A straightforward line search approach on the expected empirical loss for stochastic deep learning problems
Timed Supervisory Control for Operational Planning and Scheduling under Multiple Job Deadlines
Alternative forms of representation of Boolean functions in Cryptographic Information Security Facilities
Goppa Codes: Key to High Efficiency and Reliability in Communications
Investigation of Training Label Error Impact on RNN-T
Single Versus Union: Non-parallel Support Vector Machine Frameworks
Intelligent Arxiv: Sort daily papers by learning users topics preference
Straight-line programs with memory and matrix Bruhat decomposition
Visual Environment Assessment for Safe Autonomous Quadrotor Landing
Deep Learning Approach to Anomaly Detection in Enterprise ETL Processes with Autoencoders
Movie Recommendation with Poster Attention via Multi-modal Transformer Feature Fusion
E-GraphSAGE: A Graph Neural Network based Intrusion Detection System
Accelerating CNN inference on FPGAs: A Survey
On the Social and Technical Challenges of Web Search Autosuggestion Moderation
The Development of a Microcontroller based Smoked Fish Machine
Memory-Free Continual Learning with Null Space Adaptation for Zero-Shot Vision-Language Models
Bridging Natural Language and ASP: A Hybrid Approach Using LLMs and AMR Parsing
Solving AC Power Flow with Graph Neural Networks under Realistic Constraints
Dropout Distillation for Efficiently Estimating Model Confidence
ANOVA-based Automatic Attribute Selection and a Predictive Model for Heart Disease Prognosis
Novel Common Vehicle Information Model (CVIM) for Future Automotive Vehicle Big Data Marketplaces
SRAM: Shape-Realism Alignment Metric for No Reference 3D Shape Evaluation
On a Continuum Model for Random Genetic Drift: A Dynamical Boundary Condition Approach
Arline Benchmarks: Automated Benchmarking Platform for Quantum Compilers
Locally universal C*-algebras with computable presentations
Stability of Data-Dependent Ridge-Regularization for Inverse Problems
Testing Uniform Random Samplers: Methods, Datasets and Protocols
Shot Segmentation Based on Von Neumann Entropy for Key Frame Extraction
Don't Waste Data: Transfer Learning to Leverage All Data for Machine-Learnt Climate Model Emulation
TADIS: Steering Models for Deep-Thinking about Demonstration Examples
Enforcing asymptotic behavior with DNNs for approximation and regression in finance
Hypothesis Network Planned Exploration for Rapid Meta-Reinforcement Learning Adaptation
Equipping Retrieval-Augmented Large Language Models with Document Structure Awareness
ProLiVis: Protein-Protein Interaction Literature Visualization System
Shepherding Heterogeneous Flock with Model-Based Discrimination
BI-DCGAN: A Theoretically Grounded Bayesian Framework for Efficient and Diverse GANs
VisualCheXbert: Addressing the Discrepancy Between Radiology Report Labels and Image Labels
Multi Label Restricted Boltzmann Machine for Non-Intrusive Load Monitoring
Easy Adaptation: An Efficient Task-Specific Knowledge Injection Method for Large Models in Resource-Constrained Environments
On Robust hypothesis testing with respect to Hellinger distance
An Investigation of Hardware Security Bug Characteristics in Open-Source Projects
Simulation-based reachability analysis for nonlinear systems using componentwise contraction properties
M 2 M: Learning controllable Multi of experts and multi-scale operators are the Partial Differential Equations need
TypeTele: Releasing Dexterity in Teleoperation by Dexterous Manipulation Types
Deep Anomaly Detection in Packet Payload
Explainable AI for survival analysis: a median-SHAP approach
A Literature Review on Mobile Charging Station Technology for Electric Vehicles
Implicit Dimension Identification in User-Generated Text with LSTM Networks
MetaAligner: Conditional Weak-to-Strong Correction for Generalizable Multi-Objective Alignment of Language Models
Koopman Neural Forecaster for Time Series with Temporal Distribution Shifts
WiCV 2020: The Seventh Women In Computer Vision Workshop
Shall numerical astrophysics step into the era of Exascale computing?
An Efficient Algorithm For Chinese Postman Walk on Bi-directed de Bruijn Graphs
Coreless 5G Mobile Network
Efficient numerical methods for computing the stationary states of phase field crystal models
Selectivity Estimation with Attribute Value Dependencies using Linked Bayesian Networks
High-Resolution Be Aware! Improving the Self-Supervised Real-World Super-Resolution
Exploring Multi-Modality Dynamics: Insights and Challenges in Multimodal Fusion for Biomedical Tasks
Superimposed Pilots are Superior for Mitigating Pilot Contamination in Massive MIMO: Part II - Performance Analysis and Hybrid System Design
LZ Penalty: An information-theoretic repetition penalty for autoregressive language models
CF-CAM: Cluster Filter Class Activation Mapping for Reliable Gradient-Based Interpretability
ESPnet-SLU: Advancing Spoken Language Understanding through ESPnet
Anonymous and Adaptively Secure Revocable IBE with Constant Size Public Parameters
Availability Aware Continuous Replica Placement Problem
A Robust BERT-Based Deep Learning Model for Automated Cancer Type Extraction from Unstructured Pathology Reports
Beyond Offline Mapping: Learning Cross Lingual Word Embeddings through Context Anchoring
Unbiased Mean Teacher for Cross Domain Object Detection
Higher-order Processes with Parameterization over Names and Processes
A Fast Combined Decimal Adder/Subtractor
An automatic analysis of ultrasound vocalisations for the prediction of interaction context in captive Egyptian fruit bats
Practical Bayes-Optimal Membership Inference Attacks
New Record-Breaking Condorcet Domains on 10 and 11 Alternatives
Mining Frequent Learning Pathways from a Large Educational Dataset
Safe Multi-Agent Reinforcement Learning with Bilevel Optimization in Autonomous Driving
A case study of the profit-maximizing multi-vehicle pickup and delivery selection problem for the road networks with the integratable nodes
Motion Generation for Food Topping Challenge 2024: Serving Salmon Roe Bowl and Picking Fried Chicken
Fine-Tuning Models Comparisons on Garbage Classification for Recyclability
Radio-Coverage-Aware Path Planning for Cooperative Autonomous Vehicles
Towards generalizable deep ptychography neural networks
Tight Approximation of Image Matching
Internet-Based Image Retrieval Using End-to-End Trained Deep Distributions
Quantum Computing: A Taxonomy, Systematic Review and Future Directions
ARCADE: An interactive playground for real-time immersed topology optimization
Pairwise Relational Networks using Local Appearance Features for Face Recognition
On Self-Dual Quantum Codes, Graphs, and Boolean Functions
Detecting abnormal events in video using Narrowed Motion Clusters
CORMO-RAN: Lossless Migration of xApps in O-RAN
Understanding racial bias in health using the Medical Expenditure Panel Survey data
Algorithmic Robustness
Optimal Differential Privacy Composition for Exponential Mechanisms and the Cost of Adaptivity
Comprehensive Forecasting-Based Analysis of Hybrid and Stacked Stateful/ Stateless Models
Self-dual Hadamard bent sequences
Passive Supporters of Terrorism and Phase Transitions
Every Camera Effect, Every Time, All at Once: 4D Gaussian Ray Tracing for Physics-based Camera Effect Data Generation
Signal-Aware Workload Shifting Algorithms with Uncertainty-Quantified Predictors
GANerated Hands for Real-time 3D Hand Tracking from Monocular RGB
A Rapid Pattern-Recognition Method for Driving Types Using Clustering-Based Support Vector Machines
Artificial Intelligence: A Child's Play
An Adaptive $s$-step Conjugate Gradient Algorithm with Dynamic Basis Updating
Covariance Matrix Adaptation for the Rapid Illumination of Behavior Space
CroMe: Multimodal Fake News Detection using Cross-Modal Tri-Transformer and Metric Learning
How to manipulate truthful prior-dependent mechanisms?
GPN: A Joint Structural Learning Framework for Graph Neural Networks
Training Spiking Deep Networks for Neuromorphic Hardware
L2RS: A Learning-to-Rescore Mechanism for Automatic Speech Recognition
Binomial Difference Ideals
Exploiting Self-Supervised Constraints in Image Super-Resolution
Games in Product Form for Demand Response Modelling
Wireless enabled clothing: New modular technologies and overall supply chain impact
Layout2Rendering: AI-aided Greenspace design
A Cone-Beam X-Ray CT Data Collection Designed for Machine Learning
Minimizing the Weighted Number of Tardy Jobs is W[1]-hard
Erdös-Pósa property of tripods in directed graphs
Uniform-in-time weak error estimates of explicit full-discretization schemes for SPDEs with non-globally Lipschitz coefficients
Digital Data Archives as Knowledge Infrastructures: Mediating Data Sharing and Reuse
Performance evaluation for ML sequence detection in ISI channels with Gauss Markov Noise
STAF: Sinusoidal Trainable Activation Functions for Implicit Neural Representation
Diffusion Models-Aided Uplink Channel Estimation for RIS-Assisted Systems
Implicature in Interaction: Understanding Implicature Improves Alignment in Human-LLM Interaction
PACEE: Supporting Children's Personal Emotion Education through Parent-AI Collaboration
Telegrapher's Generative Model via Kac Flows
Tactile Data Recording System for Clothing with Motion-Controlled Robotic Sliding
Lifted Graphical Models: A Survey
HAPT: Heterogeneity-Aware Automated Parallel Training on Heterogeneous Clusters
Tractable Instances of Bilinear Maximization: Implementing LinUCB on Ellipsoids
Reconfiguration of Independent Transversals
OFFSIDE: Benchmarking Unlearning Misinformation in Multimodal Large Language Models
Sparse estimation via 𝓁 q optimization method in high-dimensional linear regression
SCI-Reason: A Dataset with Chain-of-Thought Rationales for Complex Multimodal Reasoning in Academic Areas
Universal patterns of online news impact
CoronaVis: A Real-time COVID-19 Tweets Analyzer
Geometry meets semantics for semi-supervised monocular depth estimation
ESNI: Domestic Robots Design for Elderly and Disabled People
Secured Message Transmission in Mobile AD HOC Networks through Identification and Removal of Byzantine Failures
Confounding Factors in Relating Model Performance to Morphology
Explaining Adverse Actions in Credit Decisions Using Shapley Decomposition
Forecasting time series with constraints
Deep Learning for ECG Segmentation
Demystifying LLM-as-a-Judge: Analytically Tractable Model for Inference-Time Scaling
Gaps or Hallucinations? Gazing into Machine-Generated Legal Analysis for Fine-grained Text Evaluations
ReJump: A Tree-Jump Representation for Analyzing and Improving LLM Reasoning
A simulation study to distinguish prompt photon from π 0 and beam halo in a granular calorimeter using deep networks
Volumetric Occupancy Detection: A Comparative Analysis of Mapping Algorithms
Biometrics-as-a-Service: A Framework to Promote Innovative Biometric Recognition in the Cloud
Fourier-Attentive Representation Learning: A Fourier-Guided Framework for Few-Shot Generalization in Vision-Language Models
BACE: Behavior-Adaptive Connectivity Estimation for Interpretable Graphs of Neural Dynamics
The search of Type I codes
IDS-Net: A novel framework for few-shot photovoltaic power prediction with interpretable dynamic selection and feature information fusion
From Reusing to Forecasting: Accelerating Diffusion Models with TaylorSeers
RULER-Bench: Probing Rule-based Reasoning Abilities of Next-level Video Generation Models for Vision Foundation Intelligence
Physics-Driven Self-Supervised Deep Learning for Free-Surface Multiple Elimination
Deep Social Collaborative Filtering
SkillFormer: Unified Multi-View Video Understanding for Proficiency Estimation
Motion Control Simulations for a Magnetically-Coupled Bacterium and Robotic Arm
Frame-level Prediction of Facial Expressions, Valence, Arousal and Action Units for Mobile Devices
Binary classification of spoken words with passive elastic metastructures
Characterising the role of human behaviour in the effectiveness of contact-tracing applications
Quantitative Comparison of Fine-Tuning Techniques for Pretrained Latent Diffusion Models in the Generation of Unseen SAR Image Concepts
A measure of state transition of collective of stateless automata in discrete environment
Denoising Gravitational Waves using Deep Learning with Recurrent Denoising Autoencoders
FairDD: Fair Dataset Distillation via Synchronized Matching
Human vs Machine Attention in Neural Networks: A Comparative Study
Leveraging Overfitting for Low-Complexity and Modality-Agnostic Joint Source-Channel Coding
Development of an Open-Source Spacecraft Bus for the PULSE-A CubeSat
STA-Unet: Rethink the semantic redundant for Medical Imaging Segmentation
Maximum-Likelihood Augmented Discrete Generative Adversarial Networks
Visionary Co-Driver: Enhancing Driver Perception of Potential Risks with LLM and HUD
Edge-Direct Visual Odometry
Implicit Simulation Methods for Stochastic Chemical Kinetics
From Real Artifacts to Virtual Reference: A Robust Framework for Translating Endoscopic Images
Locally-APN Binomials with Low Boomerang Uniformity in Odd Characteristic
The number of edges in k-quasi-planar graphs
Fault Detection of Rotation Machinery using Periodic Time-Frequency Sparsity
Deep learning models for predictive maintenance: a survey, comparison, challenges and prospect
Sparse Adversarial Attack in Multi-agent Reinforcement Learning
Federated Graph Learning - A Position Paper
A Bayesian Framework for Causal Analysis of Recurrent Events in Presence of Immortal Risk
3D Vision with Transformers: A Survey
Supervised Graph Contrastive Pretraining for Text Classification
Person Entity Profiling Framework: Identifying, Integrating and Visualizing Online Freely Available Entity-Related Information
Reducing Drift in Visual Odometry by Inferring Sun Direction using a Bayesian Convolutional Neural Network
PVN3D: A Deep Point-wise 3D Keypoints Voting Network for 6DoF Pose Estimation
VIRT: Vision Instructed Transformer for Robotic Manipulation
Default Reasoning and the Transferable Belief Model
Improving Video Generation with Human Feedback
Alternating DFS and Strongly Connected Components (Linear time algorithms with applications to infinite pebble games)
Combinatorial Methods in Grid based Meshing
A Novel Strategy for COVID-19 Classification from Chest X-ray Images Using Deep Stacked-Ensembles
TT-MPD: Test Time Model Pruning and Distillation
Navigating Spatial Inequities in Freight Truck Crash Severity via Counterfactual Inference in Los Angeles
Functional Connectivity Graph Neural Networks
What is prompt literacy? An exploratory study of language learners' development of new literacy skill using generative AI
Alif: Advancing Urdu Large Language Models via Multilingual Synthetic Data Distillation
VSF: Simple, Efficient, and Effective Negative Guidance in Few-Step Image Generation Models By Value Sign Flip
Teach-DETR: Better Training DETR with Teachers
Fair Resource Allocation for Fleet Intelligence
Advanced Meta-Ensemble Machine Learning Models for Early and Accurate Sepsis Prediction to Improve Patient Outcomes
Inverting Black-Box Face Recognition Systems via Zero-Order Optimization in Eigenface Space
Planning and Control for Deformable Linear Object Manipulation
MoE-LPR: Multilingual Extension of Large Language Models through Mixture-of-Experts with Language Priors Routing
What do CNN neurons learn: Visualization & Clustering
Multiplex Imaging Analysis in Pathology: a Comprehensive Review on Analytical Approaches and Digital Toolkits
AlphaChimp: Tracking and Behavior Recognition of Chimpanzees
Two New Families of Quantum Synchronizable Codes
Shattering-Extremal Systems
Strong Converse Inequalities for Bernstein Polynomials with Explicit Asymptotic Constants
Design and Performance Analysis of a New Class of Rate Compatible Serial Concatenated Convolutional Codes
Deep Exemplar Networks for VQA and VQG
Module-Aware Parameter-Efficient Machine Unlearning on Transformers
Low-rank adaptive physics-informed HyperDeepONets for solving differential equations
DeepStrip: High Resolution Boundary Refinement
Generative Predictive Control: Flow Matching Policies for Dynamic and Difficult-to-Demonstrate Tasks
Réseaux de radio cognitive : Allocation des ressources radio et accès dynamique au spectre
A Note on Nonuniform versus Uniform ACC^k Circuits for NE
Smart Finite State Devices: A Modeling Framework for Demand Response Technologies
Evaluating LLMs for Zeolite Synthesis Event Extraction (ZSEE): A Systematic Analysis of Prompting Strategies
Relational databases for data management in PHENIX
V-index: a novel metric to measure virtuosity of academics
Trajectory Tracking and Stabilization of Quadrotors Using Deep Koopman Model Predictive Control
Characterization of Industrial Smoke Plumes from Remote Sensing Data
GPU Accelerated Particle Visualization with Splotch
Balancing Computation Load and Representation Expressivity in Parallel Hybrid Neural Networks
Quantum Energy Regression using Scattering Transforms
Vehicle Route Planning using Dynamically Weighted Dijkstra's Algorithm with Traffic Prediction
Neural Modeling for Named Entities and Morphology (NEMO^2)
Finer-Grained Correlations: Location Priors for Unseen Object Pose Estimation
Stream parallel skeleton optimization
Partial Information Decomposition via Normalizing Flows in Latent Gaussian Distributions
Estimation of entropy-regularized optimal transport maps between non-compactly supported measures
Explainable Enterprise Credit Rating via Deep Feature Crossing Network
A Scale-Space Theory for Text
Randomly pivoted Cholesky: Practical approximation of a kernel matrix with few entry evaluations
Empirical Models for Multidimensional Regression of Fission Systems
Weaving Attention U-net: A Novel Hybrid CNN and Attention-based Method for Organs-at-risk Segmentation in Head and Neck CT Images
Why do zeroes happen? A model-based approach for demand classification
SGD with large step sizes learns sparse features
Linear Precoding Based on Truncated Polynomial Expansion - Part II: Large-Scale Multi-Cell Systems
Compressed sensing in the presence of speckle noise
Meta-Learning Triplet Network with Adaptive Margins for Few-Shot Named Entity Recognition
Real-Time RFI Mitigation for the Apertif Radio Transient System
Approaching $\frac{3}{2}$ for the $s$-$t$-path TSP
A Neural Quality Metric for BRDF Models
PubGraph: A Large Scale Scientific Temporal Knowledge Graph
A Planning-and-Exploring Approach to Extreme-Mechanics Force Fields
Beyond pixels and regions: A non local patch means (NLPM) method for content-level restoration, enhancement, and reconstruction of degraded document images
PHAnToM: Personality Has An Effect on Theory-of-Mind Reasoning in Large Language Models
OOD-CV-v2: An extended Benchmark for Robustness to Out-of-Distribution Shifts of Individual Nuisances in Natural Images
Hybrid hyperinterpolation over general regions
Aligning First, Then Fusing: A Novel Weakly Supervised Multimodal Violence Detection Method
Road Network Variation Based on HD Map Analysis for the Simulative Safety Assurance of Automated Vehicles
Certifying rings of integers in number fields
Understanding Zadimoghaddam's Edge-weighted Online Matching Algorithm: Unweighted Case
Deepfake Detection Scheme Based on Vision Transformer and Distillation
Multilingual Speech Recognition With A Single End-To-End Model
Quantum Machine Learning with HQC Architectures using non-Classically Simulable Feature Maps
Convolutional versus Dense Neural Networks: Comparing the Two Neural Networks Performance in Predicting Building Operational Energy Use Based on the Building Shape
Spatially Distributed Sampling and Reconstruction
Code Compass: A Study on the Challenges of Navigating Unfamiliar Codebases
Controlling Language Difficulty in Dialogues with Linguistic Features
A reformulation of collision avoidance algorithm based on artificial potential fields for fixed-wing UAVs in a dynamic environment
Paving the Roadway for Safety of Automated Vehicles: An Empirical Study on Testing Challenges
UbiNIRS: A Software Framework for Miniaturized NIRS-based Applications
Scalable Dense Non-rigid Structure-from-Motion: A Grassmannian Perspective
Leveraging Predictions in Power System Voltage Control: An Adaptive Approach