yusuke1997/dblp-id-title huggingface dataset:
When and How: Learning Identifiable Latent States for Nonstationary Time Series Forecasting
DynFaceRestore: Balancing Fidelity and Quality in Diffusion-Guided Blind Face Restoration with Dynamic Blur-Level Mapping and Guidance
A Blockchain-based Decentralized Self-balancing Architecture for the Web of Things
Optimizing Treatment Allocation in the Presence of Interference
A Comprehensive Guide to Item Recovery Using the Multidimensional Graded Response Model in R
Convergence analysis for the Barrett-Garcke-Nurnberg method of transport type
NeedleInATable: Exploring Long-Context Capability of Large Language Models towards Long-Structured Tables
A fast algorithm for computing a planar support for non-piercing rectangles
A look at the Kolmogorov complexity of finite groupoids and algebras
A Novel Active Solution for Two-Dimensional Face Presentation Attack Detection
Ten simple rules for teaching sustainable software engineering
Complexity-Driven Policy Optimization
Essential System Services in Grids Dominated by Renewable Energy
An Adaptive Volatility-based Learning Rate Scheduler
Beyond Diagonal Reconfigurable Intelligent Surface Enabled Sensing: Cramer-Rao Bound Optimization
Enhancing Video Understanding: Deep Neural Networks for Spatiotemporal Analysis
Algebraic Structures in Microtonal Music
Image-Based Leopard Seal Recognition: Approaches and Challenges in Current Automated Systems
Point Cloud Data Simulation and Modelling with Aize Workspace
From Glucose Patterns to Health Outcomes: A Generalizable Foundation Model for Continuous Glucose Monitor Data Analysis
FedLoRA: Model-Heterogeneous Personalized Federated Learning with LoRA Tuning
Deep Learning as the Disciplined Construction of Tame Objects
Electric Vehicle Routing Problem with Time Windows and Station-based or Route-based Charging Options
New Linear-time Algorithm for SubTree Kernel Computation based on Root-Weighted Tree Automata
Understanding people's needs in viewing diverse social opinions about controversial topics
AFD-STA: Adaptive Filtering Denoising with Spatiotemporal Attention for Chaotic System Prediction
From complexity to algebra and back: digraph classes, collapsibility and the PGP
Text2Struct: A Machine Learning Pipeline for Mining Structured Data from Text
Normalized Cut with Adaptive Similarity and Spatial Regularization
Multi-defect microscopy image restoration under limited data conditions
A Sub-Pixel Multimodal Optical Remote Sensing Images Matching Method
A Transformer-in-Transformer Network Utilizing Knowledge Distillation for Image Recognition
Learning Inter- and Intra-manifolds for Matrix Factorization-based Multi-Aspect Data Clustering
Modularity in a Connectionist Model of Morphology Acquisition
Non-Malleable Secret Sharing against Affine Tampering
Correlated Equilibria of Classical Strategic Games with Quantum Signals
Self-Adaptation Mechanism to Control the Diversity of the Population in Genetic Algorithm
HierSFL: Local Differential Privacy-aided Split Federated Learning in Mobile Edge Computing
Deep Image Reconstruction using Unregistered Measurements without Groundtruth
Avoiding overfitting of multilayer perceptrons by training derivatives
How Do LLMs Perform Two-Hop Reasoning in Context?
Data Valuation for Offline Reinforcement Learning
The Quantum PCP Conjecture
GmNet: Revisiting Gating Mechanisms From A Frequency View
Unsupervised Lane-Change Identification for On-Ramp Merge Analysis in Naturalistic Driving Data
A Framework to Control Inter-Area Oscillations with Local Measurement
RACE: Reinforced Cooperative Autonomous Vehicle Collision AvoidancE
Hierarchical Text Generation using an Outline
An Integrated Framework for the Heterogeneous Spatio-Spectral-Temporal Fusion of Remote Sensing Images
FEA-Net: A Physics-guided Data-driven Model for Efficient Mechanical Response Prediction
Linear Gaussian Bounding Box Representation and Ring-Shaped Rotated Convolution for Oriented Object Detection
Unbounded-Thread Reachability via Symbolic Execution and Loop Acceleration (Technical Report)
AI persuading AI vs AI persuading Humans: LLMs' Differential Effectiveness in Promoting Pro-Environmental Behavior
Deep Learning of Causal Structures in High Dimensions
Why Size Matters: Feature Coding as Nystrom Sampling
Fine-Tuning Large Language Models to Appropriately Abstain with Semantic Entropy
OmniSSR: Zero-shot Omnidirectional Image Super-Resolution using Stable Diffusion Model
Self-QA: Unsupervised Knowledge Guided Language Model Alignment
Proposed Efficient Design for Unmanned Surface Vehicles
An Incentive-Aware Job Offloading Control Framework for Mobile Edge Computing
Deep Learning as a Convex Paradigm of Computation: Minimizing Circuit Size with ResNets
Implicitly Constrained Semi-Supervised Linear Discriminant Analysis
Image Captioning based on Feature Refinement and Reflective Decoding
Increasing Forests and Quadrangulations via a Bijective Approach
Modulation Diversity for Spatial Modulation Using Complex Interleaved Orthogonal Design
The Effect of Noise on the Emergence of Continuous Norms and its Evolutionary Dynamics
How Far Are We to GPT-4V? Closing the Gap to Commercial Multimodal Models with Open-Source Suites
Sleeping Beauties in Meme Diffusion
Perturbed Public Voices (P 2 V): A Dataset for Robust Audio Deepfake Detection
Toward more generalized Malicious URL Detection Models
A Decomposition Approach to the Weighted k -server Problem
Energy-Efficient Hybrid Analog and Digital Precoding for mmWave MIMO Systems with Large Antenna Arrays
Hybrid EEG-Driven Brain-Computer Interface: A Large Language Model Framework for Personalized Language Rehabilitation
Deep learning application of vibration data for predictive maintenance of gravity acceleration equipment
Towards End-to-End Error Management for a Quantum Internet
Towards Multi-View Consistent Style Transfer with One-Step Diffusion via Vision Conditioning
Image compression by rectangular wavelet transform
Simplified Weak Galerkin Methods for Linear Elasticity on Nonconvex Domains
Efficient Exploration of the Rashomon Set of Rule Set Models
Airway Label Prediction in Video Bronchoscopy: Capturing Temporal Dependencies Utilizing Anatomical Knowledge
STeP: A General and Scalable Framework for Solving Video Inverse Problems with Spatiotemporal Diffusion Priors
Science and Technology Ontology: A Taxonomy of Emerging Topics
IRS-Assistance with Outdated CSI: Element subset selection for secrecy performance enhancement
A Deep Dive into the Impact of Solar Storms on LEO Satellite Networks
RGCVAE: Relational Graph Conditioned Variational Autoencoder for Molecule Design
Cycle Patterns and Mean Payoff Games
A Comprehensive Review of Machine Learning Advances on Data Change: A Cross-Field Perspective
Robust Semi-Supervised Learning with Out of Distribution Data
Egret Swarm Optimization Algorithm: An Evolutionary Computation Approach for Model Free Optimization
Variability Abstractions: Trading Precision for Speed in Family-Based Analyses (Extended Version)
Two Dimensional Angle of Arrival Estimation
Smart Buildings Energy Consumption Forecasting using Adaptive Evolutionary Ensemble Learning Models
An iterative school decomposition algorithm for solving the multi-school bus routing and scheduling problem
A non-local gradient based approach of infinity Laplacian with Γ-convergence
Writer Identification and Writer Retrieval Based on NetVLAD with Re-ranking
Recent Advances towards Safe, Responsible, and Moral Dialogue Systems: A Survey
Reachability analysis of linear hybrid systems via block decomposition
Well structured program equivalence is highly undecidable
Light-Weight Fault Tolerant Attention for Large Language Model Training
Toward Automated Calibration of Data Center Digital Twins: A Neural Surrogate Approach
Gender Recognition Based on Sift Features
Can BERT Reason? Logically Equivalent Probes for Evaluating the Inference Capabilities of Language Models
Exploring contextual modeling with linear complexity for point cloud segmentation
Beamforming Techniques for Multichannel audio Signal Separation
Fast, Approximate Synthesis of Fractional Gaussian Noise for Generating Self-Similar Network Traffic
CylinderDepth: Cylindrical Spatial Attention for Multi-View Consistent Self-Supervised Surround Depth Estimation
A Hybrid Neural Network - Polynomial Series Scheme for Learning Invariant Manifolds of Discrete Dynamical Systems
Division Algebras and Wireless Communication
GIMIRec: Global Interaction Information Aware Multi-Interest Framework for Sequential Recommendation
Evaluation of a Foundational Model and Stochastic Models for Forecasting Sporadic or Spiky Production Outages of High-Performance Machine Learning Services
Barrier-Free Large-Scale Sparse Tensor Accelerator (BARISTA) For Convolutional Neural Networks
Toward Efficient Web Publishing with Provenance of Information Using Trusty URIs: Applying the proposed model with the Quran
End-to-end 3D face reconstruction with deep neural networks
BNSynth: Bounded Boolean Functional Synthesis
Transforming disaster risk reduction with AI and big data: Legal and interdisciplinary perspectives
Self-conditioned Image Generation via Generating Representations
A Logic Programming Approach for Formal Verification of NetBill Security and Transactions Protocol
A Three Steps Methodological Approach to Legal Governance Validation
Asymmetry by Design: Boosting Cyber Defenders with Differential Access to AI
HDGL: A hierarchical dynamic graph representation learning model for brain disorder classification
Finding Euler Tours in One Pass in the W-Streaming Model with O(n log(n)) RAM
Vulnerability analysis of coherent quantum cryptography protocols towards to an active beam-splitting attack
A kernel method for the learning of Wasserstein geometric flows
EMF-REST: Generation of RESTful APIs from Models
Federated Sequence-to-Sequence Learning for Load Disaggregation from Unbalanced Low-Resolution Smart Meter Data
Environmental sound analysis with mixup based multitask learning and cross-task fusion
Object-Attribute Binding in Text-to-Image Generation: Evaluation and Control
Dialog Acts for Task-Driven Embodied Agents
Many or Few Samples? Comparing Transfer, Contrastive and Meta-Learning in Encrypted Traffic Classification
Autonomic Management of Maintenance Scheduling in Chord
The Brussels Effect and Artificial Intelligence: How EU regulation will impact the global AI market
$μ$Nap: Practical Micro-Sleeps for 802.11 WLANs
Improving Whispered Speech Recognition Performance using Pseudo-whispered based Data Augmentation
MedReadCtrl: Personalizing medical text generation with readability-controlled instruction learning
DeepAlloc: CNN-Based Approach to Efficient Spectrum Allocation in Shared Spectrum Systems
A frugal Spiking Neural Network for unsupervised classification of continuous multivariate temporal data
A Survey on Optimization Studies of Group Centrality Metrics
Predicting Usefulness of Code Review Comments using Textual Features and Developer Experience
Are you eligible? Predicting adulthood from face images via class specific mean autoencoder
One word at a time: adversarial attacks on retrieval models
Back to the Basics on Predicting Transfer Performance
Towards Combining On-Off-Policy Methods for Real-World Applications
Agile Software Effort Estimation using Regression Techniques
Cramér-Rao bound-informed training of neural networks for quantitative MRI
Analysis of a VEM-fully discrete polytopal scheme with bubble stabilisation for contact mechanics with Tresca friction
GoRL: An Algorithm-Agnostic Framework for Online Reinforcement Learning with Generative Policies
Cognitive Connectivity Resilience in Multi-layer Remotely Deployed Mobile Internet of Things
KeTS: Kernel-based Trust Segmentation against Model Poisoning Attacks
Ideal Registration? Segmentation is All You Need
HuMo: Human-Centric Video Generation via Collaborative Multi-Modal Conditioning
Test-time Uncertainty Estimation for Medical Image Registration via Transformation Equivariance
Meta Cross-Modal Hashing on Long-Tailed Data
On the Reconstruction of Static and Dynamic Discrete Structures
Co-Paced Learning Strategy Based on Confidence for Flying Bird Object Detection Model Training
RetCompletion:High-Speed Inference Image Completion with Retentive Network
Broadband Ground Motion Synthesis via Generative Adversarial Neural Operators: Development and Validation
A New Approach to Controlling Linear Dynamical Systems
iQIYI-VID: A Large Dataset for Multi-modal Person Identification
Regression estimation from an individual stable sequence
SWA-SOP: Spatially-aware Window Attention for Semantic Occupancy Prediction in Autonomous Driving
Arabic Character Segmentation Using Projection Based Approach with Profile's Amplitude Filter
Persona-based Multi-Agent Collaboration for Brainstorming
Optimizing and Fine-tuning Large Language Model for Urban Renewal
Hybrid System Modelling and Simulation with Dirac Deltas
A framework for stable spectral methods in d-dimensional unit balls
An Expectation-Maximization Algorithm for the Fractal Inverse Problem
A Trust Based Cross Layer Security Protocol for Mobile Ad hoc Networks
Categorical semiotics
A Finite Element Based P3M Method for N-body Problems
On Information (pseudo) Metric
Roles of LLMs in the Overall Mental Architecture
Perivascular Spaces Segmentation in Brain MRI Using Optimal 3D Filtering
V-LoL: A Diagnostic Dataset for Visual Logical Learning
Eye Pupil Location Using Webcam
The Geometry of Parallelism. Classical, Probabilistic, and Quantum Effects
Diffusion-Based Generation and Imputation of Driving Scenarios from Limited Vehicle CAN Data
Fast Convolutional Sparse Coding in the Dual Domain
Automatic Cattle Identification using YOLOv5 and Mosaic Augmentation: A Comparative Analysis
The Smallville Effect: Social Ties Make Mobile Networks More Secure Against the Node Capture Attack
Uncovering the Fragility of Trustworthy LLMs through Chinese Textual Ambiguity
YUI: Day-ahead Electricity Price Forecasting Using Invariance Simplified Supply and Demand Curve
Interpreting ResNet-based CLIP via Neuron-Attention Decomposition
On warped product on information geometry: statistical manifolds and statistical models
Blind Adversarial Pruning: Balance Accuracy, Efficiency and Robustness
UniquID: A Quest to Reconcile Identity Access Management and the Internet of Things
Mapping of SOA and RUP: DOA as Case Study
Spectral Efficiency Analysis of Near-Field Holographic MIMO over Ricean Fading Channels
Predicting Performance of Object Detection Models in Electron Microscopy Using Random Forests
Robust Cell-Load Learning with a Small Sample Set
High-Performance Few-Shot Segmentation with Foundation Models: An Empirical Study
Frustratingly Simple Entity Tracking with Effective Use of Multi-Task Learning Models
Psychology of Artificial Intelligence: Epistemological Markers of the Cognitive Analysis of Neural Networks
Tag Relevance Fusion for Social Image Retrieval
Survey and Analysis of DNS Filtering Components
Whisper Speaker Identification: Leveraging Pre-Trained Multilingual Transformers for Robust Speaker Embeddings
Angular separability of data clusters or network communities in geometrical space and its relevance to hyperbolic embedding
Research on Multi-Objective Planning of Electric Vehicle Charging Stations Considering the Condition of Urban Traffic Network
InfoDecom: Decomposing Information for Defending against Privacy Leakage in Split Inference
An approach to improving sound-based vehicle speed estimation
Learning to steer with Brownian noise
Analyzing Cost-Sensitive Surrogate Losses via ℋ-calibration
Detecting Critical Resonances in Microwave Amplifiers through Noise Simulations
Yesquel: scalable SQL storage for Web applications
BLE Protocol in IoT Devices and Smart Wearable Devices: Security and Privacy Threats
Uplink Non-Orthogonal Multiple Access over Mixed RF-FSO Systems
OmniESI: A unified framework for enzyme-substrate interaction prediction with progressive conditional deep learning
Joint Coding and Scheduling Optimization for Distributed Learning over Wireless Edge Networks
From Interaction to Impact: Towards Safer AI Agents Through Understanding and Evaluating UI Operation Impacts
Modified Gaussian Process Regression Models for Cyclic Capacity Prediction of Lithium-ion Batteries
A multi parallel mixed-model disassembly line and its balancing optimization for fuel vehicles and pure electric vehicles
Fusing Large Language Models with Temporal Transformers for Time Series Forecasting
Sphere packing proper colorings of an expander graph
A Fast Algorithm for Sparse Controller Design
Full Encoder: Make Autoencoders Learn Like PCA
A Survey of Model Compression and Acceleration for Deep Neural Networks
Cyber-Automotive Simulation and Evaluation Platform for Vehicular Value Added Services
High level architecture evolved modular federation object model
Computation offloading to hardware accelerators in Intel SGX and Gramine Library OS
COVID-19 Data Analysis and Forecasting: Algeria and the World
A Novel Adaptive Channel Allocation Scheme to Handle Handoffs
Information Inequalities for Joint Distributions, with Interpretations and Applications
DALLE-URBAN: Capturing the urban design expertise of large text to image transformers
Can Large Language Models Understand Intermediate Representations?
Events-to-Video: Bringing Modern Computer Vision to Event Cameras
Implementation of a Type-2 Fuzzy Logic Based Prediction System for the Nigerian Stock Exchange
Automating Credit Card Limit Adjustments Using Machine Learning
Evaluating the Convergence of Tabu Enhanced Hybrid Quantum Optimization
Experience Report: Deep Learning-based System Log Analysis for Anomaly Detection
Tractable learning in under-excited power grids
Effect of diffusion of elements on network topology and self-organization
On the Opportunities of Green Computing: A Survey
Optimized Control of Duplex Networks
Explicit vs. Implicit Biographies: Evaluating and Adapting LLM Information Extraction on Wikidata-Derived Texts
Exploiting Low Scanwidth to Resolve Soft Polytomies
Two Generalized Derivative-free Methods to Solve Large Scale Nonlinear Equations with Convex Constraints
Beware the Rationalization Trap! When Language Model Explainability Diverges from our Mental Models of Language
Rethinking Explanation Evaluation under the Retraining Scheme
Exploratory analysis of a measurement scale of an information security management system
Cracking the Code: Enhancing Development finance understanding with artificial intelligence
Attention to Refine through Multi-Scales for Semantic Segmentation
Learning Dynamic Graphs via Tensorized and Lightweight Graph Convolutional Networks
Model inference for Ordinary Differential Equations by parametric polynomial kernel regression
Symmetry-Breaking in Multi-Agent Navigation: Winding Number-Aware MPC with a Learned Topological Strategy
Learning Multiscale Consistency for Self-supervised Electron Microscopy Instance Segmentation
An $O(\log k)$-Approximation for Directed Steiner Tree in Planar Graphs
Quantized Non-Volatile Nanomagnetic Synapse based Autoencoder for Efficient Unsupervised Network Anomaly Detection
Towards Developing Brain-Computer Interfaces for People with Multiple Sclerosis
Routine Outcome Monitoring in Psychotherapy Treatment using Sentiment-Topic Modelling Approach
MIGPerf: A Comprehensive Benchmark for Deep Learning Training and Inference Workloads on Multi-Instance GPUs
LongSSM: On the Length Extension of State-space Models in Language Modelling
RL-PINNs: Reinforcement Learning-Driven Adaptive Sampling for Efficient Training of PINNs
Analyzing Common Electronic Structure Theory Algorithms for Distributed Quantum Computing
Emotion Detection from EEG using Transfer Learning
Hybrid spreading mechanisms and T cell activation shape the dynamics of HIV-1 infection
Tracking environmental policy changes in the Brazilian Federal Official Gazette
Steganographic Codes -- a New Problem of Coding Theory
Unified Identification and Tuning Approach Using Deep Neural Networks For Visual Servoing Applications
Deep learning facilitates fully automated brain image registration of optoacoustic tomography and magnetic resonance imaging
Softly Constrained Denoisers for Diffusion Models
Investigation of Dephasing In an Open Quantum System under Chaotic Influence via a Fractional Kohn-Sham Scheme
Multi-task Learning for Financial Forecasting
On the Performance of Millimeter Wave-based RF-FSO Links with HARQ Feedback
Irrelevant Vertices for the Planar Disjoint Paths Problem
Heterogeneous Proxytypes Extended: Integrating Theory-like Representations and Mechanisms with Prototypes and Exemplars
From Consensus to Robust Clustering: Multi-Agent Systems with Nonlinear Interactions
An Efficient LLM-based Evolutional Recommendation with Locate-Forget-Update Paradigm
A Note on Optimizing Distributions using Kernel Mean Embeddings
Preasymptotic error estimates of higher-order EEM for the time-harmonic Maxwell equations with large wave number
Multi-user Resource Control with Deep Reinforcement Learning in IoT Edge Computing
Characterizing information leaders in Twitter during COVID-19 crisis
Cross-Domain Semantic Segmentation with Large Language Model-Assisted Descriptor Generation
PHOBIC: Perfect Hashing with Optimized Bucket Sizes and Interleaved Coding
Exact Causal Attention with 10% Fewer Operations
Persistent Topological Structures and Cohomological Flows as a Mathematical Framework for Brain-Inspired Representation Learning
Evaluation of contextual embeddings on less-resourced languages
Shape Reconstruction and Recognition with Isolated Non-directional Cues
CoverTheFace: face covering monitoring and demonstrating using deep learning and statistical shape analysis
Beyond Pretty Pictures: Combined Single- and Multi-Image Super-resolution for Sentinel-2 Images
Two-User SIMO Interference Channel with TIN: Improper Signaling versus Time-Sharing
SAIL: Self-Improving Efficient Online Alignment of Large Language Models
Subjective Vertical Conflict Model with Visual Vertical: Predicting Motion Sickness on Autonomous Personal Mobility Vehicles
Self-Organizing Quantum Networks
Towards Universal Certified Robustness with Multi-Norm Training
CoSupFormer : A Contrastive Supervised learning approach for EEG signal Classification
TICA-Based Free Energy Matching for Machine-Learned Molecular Dynamics
Efficient Pretraining Model based on Multi-Scale Local Visual Field Feature Reconstruction for PCB CT Image Element Segmentation
Product semantics translation from brain activity via adversarial learning
Generative Models From and For Sampling-Based MPC: A Bootstrapped Approach For Adaptive Contact-Rich Manipulation
Data-driven Preference Learning Methods for Multiple Criteria Sorting with Temporal Criteria
Wavelet-Based Network For High Dynamic Range Imaging
Are AI-Generated Driving Videos Ready for Autonomous Driving? A Diagnostic Evaluation Framework
Differentiated Directional Intervention A Framework for Evading LLM Safety Alignment
Explaining Black-Box Models through Counterfactuals
Eye Tracker Accuracy: Quantitative Evaluation of the Invisible Eye Center Location
Exploring Point-BEV Fusion for 3D Point Cloud Object Tracking with Transformer
First Demonstration of Second-order Training of Deep Neural Networks with In-memory Analog Matrix Computing
Deep Learning and Earth Observation to Support the Sustainable Development Goals
Derivation of Coupled PCA and SVD Learning Rules from a Newton Zero-Finding Framework
Contagion dynamics in time-varying metapopulation networks
Bandwidth Extension on Raw Audio via Generative Adversarial Networks
Generative Algorithms for Wildfire Progression Reconstruction from Multi-Modal Satellite Active Fire Measurements and Terrain Height
Topology-Preserving Image Segmentation with Spatial-Aware Persistent Feature Matching
Iteratively Refined Image Reconstruction with Learned Attentive Regularizers
On Coresets For Regularized Regression
There Are No Post-Quantum Weakly Pseudo-Free Families in Any Nontrivial Variety of Expanded Groups
Subject islands do not reduce to construction-specific discourse function
Single Point, Full Mask: Velocity-Guided Level Set Evolution for End-to-End Amodal Segmentation
ParaGraphE: A Library for Parallel Knowledge Graph Embedding
Formal Analysis of Vulnerabilities of Web Applications Based on SQL Injection (Extended Version)