yusuke1997/dblp-id-title huggingface dataset:
One Model for One Graph: A New Perspective for Pretraining with Cross-domain Graphs
Fusion of Camera Model and Source Device Specific Forensic Methods for Improved Tamper Detection
Generalized Cops and Robbers: A Multi-Player Pursuit Game on Graphs
Reversals of Rényi Entropy Inequalities under Log-Concavity
Uniform Reduction to SAT
Multidimensional Dominance Drawings
You Only Label Once: 3D Box Adaptation from Point Cloud to Image via Semi-Supervised Learning
XQuant: Breaking the Memory Wall for LLM Inference with KV Cache Rematerialization
Prover and Verifier Based Password Protection: PVBPP
Approximating Condorcet Ordering for Vector-valued Mathematical Morphology
Noise is All You Need: Solving Linear Inverse Problems by Noise Combination Sampling with Diffusion Models
Hypergeometric functions and moments of operators
A new ADMM algorithm for the Euclidean median and its application to robust patch regression
CR-Net: Scaling Parameter-Efficient Training with Cross-Layer Low-Rank Structure
LRQ-Solver: A Transformer-Based Neural Operator for Fast and Accurate Solving of Large-scale 3D PDEs
Multivariate Bayesian Last Layer for Regression: Uncertainty Quantification and Disentanglement
Measuring Visual Generalization in Continuous Control from Pixels
Optimizing Wireless Networks with Deep Unfolding: Comparative Study on Two Deep Unfolding Mechanisms
Training Universal Vocoders with Feature Smoothing-Based Augmentation Methods for High-Quality TTS Systems
gen2seg: Generative Models Enable Generalizable Instance Segmentation
Privacy-preserving classifiers recognize shared mobility behaviours from WiFi network imperfect data
Dual Modalities of Text: Visual and Textual Generative Pre-training
Machine learning transfer efficiencies for noisy quantum walks
Markov Switching Model for Driver Behavior Prediction: Use cases on Smartphones
Benchmarking the solar dynamo with Maxima
Large Scale Question Answering using Tourism Data
Optimal Broadcast Schedules in Logarithmic Time with Applications to Broadcast, All-Broadcast, Reduction and All-Reduction
A novel phase-field model for N-phase problems: modeling, asymptotic analysis and numerical simulations
WaveFuse: A Unified Deep Framework for Image Fusion with Wavelet Transform
Statistical Insight into Meta-Learning via Predictor Subspace Characterization and Quantification of Task Diversity
Residual Koopman Model Predictive Control for Enhanced Vehicle Dynamics with Small On-Track Data Input
Deciphering Invariant Feature Decoupling in Source-free Time Series Forecasting with Proxy Denoising
Utilizing Graph Generation for Enhanced Domain Adaptive Object Detection
ViQA-COVID: COVID-19 Machine Reading Comprehension Dataset for Vietnamese
Longitudinal Motion Planning for Autonomous Vehicles and Its Impact on Congestion: A Survey
Learning Shared Dynamics with Meta-World Models
An Empirical Exploration on the Supervision of PhD Students Closely Collaborating with Industry
Multiparty Quantum Signature Schemes
Provable Secure Steganography Based on Adaptive Dynamic Sampling
Human mobility is well described by closed-form gravity-like models learned automatically from data
Generation of binary words avoiding alternating patterns
Logical Assessment Formula and its Principles for Evaluations without Accurate Ground-Truth Labels
Re-Reading Improves Reasoning in Language Models
QA-Expand: Multi-Question Answer Generation for Enhanced Query Expansion in Information Retrieval
Bayesian inversion for unified ductile phase-field fracture
Accuracy and Security-Guaranteed Participant Selection and Beamforming Design for RIS-Assisted Federated Learning
Comparative Study of Machine Learning Models and BERT on SQuAD
HLIC: Harmonizing Optimization Metrics in Learned Image Compression by Reinforcement Learning
Towards Sample-specific Backdoor Attack with Clean Labels via Attribute Trigger
HyperFace: A Deep Multi-task Learning Framework for Face Detection, Landmark Localization, Pose Estimation, and Gender Recognition
Model Inversion Attack against Transfer Learning: Inverting a Model without Accessing It
Exploring the cooperative regimes in a model of agents without memory or "tags": indirect reciprocity vs. selfish incentives
Faster Improvement Rate Population Based Training
Semantic Communication-assisted Physical Layer Security over Fading Wiretap Channels
Accelerating Sparse MTTKRP for Small Tensor Decomposition on GPU
FTTE: Federated Learning on Resource-Constrained Devices
Analyzing a practitioner perspective on relevance of published empirical research in Requirements Engineering
A Heuristically Self-Organised Linguistic Attribute Deep Learning in Edge Computing For IoT Intelligence
Inoculation Prompting: Eliciting traits from LLMs during training can suppress them at test-time
Ranking Plausible Patches by Historic Feature Frequencies
Metaverse for Wireless Systems: Architecture, Advances, Standardization, and Open Challenges
SAI, a Sensible Artificial Intelligence that plays Go
Semi-supervised Training for Knowledge Base Graph Self-attention Networks on Link Prediction
All for law and law for all: Adaptive RAG Pipeline for Legal Research
Four Facets of Forecast Felicity: Calibration, Predictiveness, Randomness and Regret
Towards Understanding Generalization in DP-GD: A Case Study in Training Two-Layer CNNs
FALQON: Accelerating LoRA Fine-tuning with Low-Bit Floating-Point Arithmetic
Downlink CSIT under Compressed Feedback: Joint vs. Separate Source-Channel Coding
Distributionally Robust Model Predictive Control: Closed-loop Guarantees and Scalable Algorithms
Sound impact of simple viscoelastic damping changes due to aging and the role of the double bentside on soundboard tension in a 1755 Dulcken harpsichord
Depth video data-enabled predictions of longitudinal dairy cow body weight using thresholding and Mask R-CNN algorithms
HandSeg: A Dataset for Hand Segmentation from Depth Images
Intelligent optoelectronic processor for orbital angular momentum spectrum measurement
Technical Report: Performance Comparison of Service Mesh Frameworks: the MTLS Test Case
Time and Cost-Efficient Bathymetric Mapping System using Sparse Point Cloud Generation and Automatic Object Detection
RadioMapMotion: A Dataset and Baseline for Proactive Spatio-Temporal Radio Environment Prediction
Non-Asymptotic Convergence of Discrete Diffusion Models: Masked and Random Walk dynamics
Micro-level Modularity of Computaion-intensive Programs in Big Data Platforms: A Case Study with Image Data
Challenge-Device-Synthesis: A multi-disciplinary approach for the development of social innovation competences for students of Artificial Intelligence
Performance Improvement by Introducing Mobility in Wireless Communication Networks
Knowledge Distillation of LLM for Education
Exploiting Action Impact Regularity and Partially Known Models for Offline Reinforcement Learning
Learning Semantic Relatedness From Human Feedback Using Metric Learning
Adaptive Neuron Apoptosis for Accelerating Deep Learning on Large Scale Systems
Fast PET reconstruction using Multi-scale Fully Convolutional Neural Networks
Exploiting weak ties in trust-based recommender systems using regular equivalence
FALCON: Resolving Visual Redundancy and Fragmentation in High-resolution Multimodal Large Language Models via Visual Registers
Millimeter Wave Receiver Efficiency: A Comprehensive Comparison of Beamforming Schemes with Low Resolution ADCs
Scaffold Diffusion: Sparse Multi-Category Voxel Structure Generation with Discrete Diffusion
Physics-Guided Fusion for Robust 3D Tracking of Fast Moving Small Objects
RAC-DMVC: Reliability-Aware Contrastive Deep Multi-View Clustering under Multi-Source Noise
Real-World Anomaly Detection by using Digital Twin Systems and Weakly-Supervised Learning
Differential Privacy in Metric Spaces: Numerical, Categorical and Functional Data Under the One Roof
Synthesizing Systems with Optimal Average-Case Behavior for Ratio Objectives
Sampling Large Data on Graphs
Futility and utility of a few ancillas for Pauli channel learning
PeerGAN: Generative Adversarial Networks with a Competing Peer Discriminator
Theoretical Guarantees for Low-Rank Compression of Deep Neural Networks
SCOR: Software-defined Constrained Optimal Routing Platform for SDN
On Hybrid-ARQ-Based Intelligent Reflecting Surface-Assisted Communication System
Managing Clouds in Cloud Platforms
Hyper-Realist Rendering: A Theoretical Framework
Technical Report on BaumEvA Evolutionary Optimization Python-Library Testing
Semantic Network Layering
Unbiased Online Curvature Approximation for Regularized Graph Continual Learning
Classifying Multi-Gas Spectrums using Monte Carlo KNN and Multi-Resolution CNN
Towards Constraint-aware Learning for Resource Allocation in NFV-enabled Networks
Knowledge-based model validation using a custom metric
Online Mirror Descent for Tchebycheff Scalarization in Multi-Objective Optimization
Flow Plugin Network for conditional generation
LLM-BI: Towards Fully Automated Bayesian Inference with Large Language Models
Location-aware Beam Alignment for mmWave Communications
MINER: Multiscale Implicit Neural Representations
Diagnosing Psychiatric Patients: Can Large Language and Machine Learning Models Perform Effectively in Emergency Cases?
Rigorous and Practical Proportional-fair Allocation for Multi-rate Wi-Fi
Are We Approaching the Fundamental Limits of Wireless Network Densification?
A unified theory and statistical learning approach for traffic conflict detection
What Happens Next? Next Scene Prediction with a Unified Video Model
Condense, Don't Just Prune: Enhancing Efficiency and Performance in MoE Layer Pruning
WildGraph: Realistic Graph-based Trajectory Generation for Wildlife
NLU for Game-based Learning in Real: Initial Evaluations
Multi-Robot Synergistic Localization in Dynamic Environments
A New Approach To Text Rating Classification Using Sentiment Analysis
Proof in Context - Web Editing with Rich, Modeless Contextual Feedback
Multivariate Prototype Representation for Domain-Generalized Incremental Learning
Image Editing with Diffusion Models: A Survey
Prediction of Usage Probabilities of Shopping-Mall Corridors Using Heterogeneous Graph Neural Networks
POLCA: Power Oversubscription in LLM Cloud Providers
LSH Ensemble: Internet Scale Domain Search
ChangeAnywhere: Sample Generation for Remote Sensing Change Detection via Semantic Latent Diffusion Model
Predicting Price Movements in High-Frequency Financial Data with Spiking Neural Networks
A notion of graph likelihood and an infinite monkey theorem
A Roadmap Towards Improving Multi-Agent Reinforcement Learning With Causal Discovery And Inference
Continuous Data Assimilation for the Three Dimensional Navier-Stokes Equations
The Soft Cumulative Constraint
Exploring the Regularity of Sparse Structure in Convolutional Neural Networks
PrivFair: a Library for Privacy-Preserving Fairness Auditing
Audio-Visual Speaker Diarization: Current Databases, Approaches and Challenges
Distributed Gossip-GAN for Low-overhead CSI Feedback Training in FDD mMIMO-OFDM Systems
Online asynchronous detection of error-related potentials in participants with spinal cord injury by adapting a pre-trained generic classifier
Linear MIMO Precoding in Jointly-Correlated Fading Multiple Access Channels with Finite Alphabet Signaling
Labeled Optimal Partitioning
Linearly Supporting Feature Extraction For Automated Estimation Of Stellar Atmospheric Parameters
Iterative Neural Networks with Bounded Weights
RAG-Verus: Repository-Level Program Verification with LLMs using Retrieval Augmented Generation
The duals of narrow-sense BCH codes with length (q m-1 )/λ
Networked Anti-Coordination Games Meet Graphical Dynamical Systems: Equilibria and Convergence
On QoS-assured degraded provisioning in service differentiated multi-layer elastic optical networks
Joint secrecy over the K-Transmitter Multiple Access Channel
Flexible Realignment of Language Models
Can Large Models Fool the Eye? A New Turing Test for Biological Animation
Verification of Size Invariance in DNN Activations using Concept Embeddings
Efficient Circuit Cutting and Scheduling in a Multi-Node Quantum System with Dynamic EPR Pairs
Learning Large-Scale Bayesian Networks with the sparsebn Package
Position: Simulating Society Requires Simulating Thought
HistoColAi: An Open-Source Web Platform for Collaborative Digital Histology Image Annotation with AI-Driven Predictive Integration
Fast Monte-Carlo Localization on Aerial Vehicles using Approximate Continuous Belief Representations
A bi-level co-design approach for multicopters
BLMA: A Blind Matching Algorithm with Application to Cognitive Radio Networks
Cross-layer design for downlink multi-hop cloud radio access networks with network coding
Adaptive Resource Management for Edge Network Slicing using Incremental Multi-Agent Deep Reinforcement Learning
Towards Axiomatic Foundations for Conceptual Modeling: An Example
Learning the Associations of MITRE ATT&CK Adversarial Techniques
Black-Box Algorithm Synthesis - Divide-and-Conquer and More
First Come First Served: The Impact of File Position on Code Review
A Framework for AI-Native Semantic-Based Dynamic Slicing for 6G Networks
Sociotechnical Considerations for SLAM Anchors in Location-Based AR
Characterising through Erasing: A Theoretical Framework for Representing Documents Inspired by Quantum Theory
When Semantics Mislead Vision: Mitigating Large Multimodal Models Hallucinations in Scene Text Spotting and Understanding
Quantitative spectral analysis of electromagnetic scattering. II: Evolution semigroups and non-perturbative solutions
Essential requirements for establishing and operating data trusts: practical guidance based on a working meeting of fifteen Canadian organizations and initiatives
Extending Urban Multi-Lane Spatial Logic to Formalise Road Junction Rules
MoT: Pre-thinking and Recalling Enable ChatGPT to Self-Improve with Memory-of-Thoughts
Fast Vehicle Detection and Tracking on Fisheye Traffic Monitoring Video using CNN and Bounding Box Propagation
Ensemble Modeling for Multimodal Visual Action Recognition
The logistic queue model: theoretical properties and performance evaluation
Human-Machine Comparison for Cross-Race Face Verification: Race Bias at the Upper Limits of Performance?
Training Physics-Informed Neural Networks via Multi-Task Optimization for Traffic Density Prediction
The Trap of Presumed Equivalence: Artificial General Intelligence Should Not Be Assessed on the Scale of Human Intelligence
FairBatching: Fairness-Aware Batch Formation for LLM Inference
Agile Software Development Method, A Comparative Review1
Detection and prediction of clopidogrel treatment failures using longitudinal structured electronic health records
Towards a theory of learning dynamics in deep state space models
Harmonizing Community Science Datasets to Model Highly Pathogenic Avian Influenza (HPAI) in Birds in the Subantarctic
The Automation of Acceleration: AI and the Future of Society
Deep learning-based reduced-order methods for fast transient dynamics
Real-time LCC-HVDC Maximum Emergency Power Capacity Estimation Based on Local PMU Measurements
Rethinking Deep Contrastive Learning with Embedding Memory
Hölder equivalence of a class of Barański carpets
Offline Digital Euro: a Minimum Viable CBDC using Groth-Sahai proofs
Demand-Driven Pointer Analysis with Strong Updates via Value-Flow Refinement
Digital Twin Data Modelling by Randomized Orthogonal Decomposition and Deep Learning
Information Dynamics and The Arrow of Time
End-to-end Learning for GMI Optimized Geometric Constellation Shape
Semi-Lagrangian methods of a plasma hybrid model with multi-species kinetic ions and massless electrons
The Role of Interactive Visualization in Explaining (Large) NLP Models: from Data to Inference
Embodied World Models Emerge from Navigational Task in Open-Ended Environments
Maximum Margin Vector Correlation Filter
Machine Reading of Hypotheses for Organizational Research Reviews and Pre-trained Models via R Shiny App for Non-Programmers
evt_MNIST: A spike based version of traditional MNIST
Optimal Auctions with Correlated Bidders are Easy
Benchmarking projective simulation in navigation problems
A bibliometric approach to Systematic Mapping Studies: The case of the evolution and perspectives of community detection in complex networks
On the different regimes of Stochastic Gradient Descent
Two Methods for Reducing the Error-Floor of LDPC Codes
MedAgentsBench: Benchmarking Thinking Models and Agent Frameworks for Complex Medical Reasoning
Water Quality Estimation Through Machine Learning Multivariate Analysis
Visual Transformer Pruning
Challenges in Developing Great Quasi-Monte Carlo Software
Suffix Stripping Problem as an Optimization Problem
Identifying the style by a qualified reader on a short fragment of generated poetry
Control of Continuous Quantum Systems with Many Degrees of Freedom based on Convergent Reinforcement Learning
Gradient-Driven Natural Selection for Compact 3D Gaussian Splatting
Kernel-based Greedy Approximation of Parametric Elliptic Boundary Value Problems
Fooling Detection Alone is Not Enough: First Adversarial Attack against Multiple Object Tracking
Revenue Forecasting for Enterprise Products
Session-Based Software Recommendation with Social and Dependency Graph
Solving the Maximum Agreement SubTree and the Maximum Compatible Tree problems on many bounded degree trees
Data Selection for Efficient Model Update in Federated Learning
Estimating Discontinuous Time-Varying Risk Factors and Treatment Benefits for COVID-19 with Interpretable ML
Feedback in Imitation Learning: The Three Regimes of Covariate Shift
Representation Disentanglement for Multi-task Learning with application to Fetal Ultrasound
Design, Implementation and Simulation of a Cloud Computing System for Enhancing Real-time Video Services by using VANET and Onboard Navigation Systems
Practical Encoder and Decoder for Power Constrained QC-LDPC lattices
CodeDance: A Dynamic Tool-integrated MLLM for Executable Visual Reasoning
Node Level Graph Autoencoder: Unified Pretraining for Textual Graph Learning
Sentiment trading with large language models
Data-driven sparse skin stimulation can convey social touch information to humans
Realization Scheme for Visual Cryptography with Computer-generated Holograms
Biomedical Image Segmentation by Retina-like Sequential Attention Mechanism Using Only A Few Training Images
TextAug: Test time Text Augmentation for Multimodal Person Re-identification
Achievable rates for transmission of discrete constellations over the Gaussian MAC channe
Cylinder3D: An Effective 3D Framework for Driving-scene LiDAR Semantic Segmentation
Ecologically rational meta-learned inference explains human category learning
Graphs without gap-vertex-labellings: families and bounds
The regularized blind tip reconstruction algorithm as a scanning probe microscopy tip metrology method
Logarithmic Depth Decomposition of Approximate Multi-Controlled Single-Qubit Gates Without Ancilla Qubits
K-band: Self-supervised MRI Reconstruction via Stochastic Gradient Descent over K-space Subsets
MPC-CBF with Adaptive Safety Margins for Safety-critical Teleoperation over Imperfect Network Connections
Gaussian width bounds with applications to arithmetic progressions in random settings
Collaborative Safety-Critical Formation Control with Obstacle Avoidance
WiDe-analysis: Enabling One-click Content Moderation Analysis on Wikipedia's Articles for Deletion
Neural Dynamic Movement Primitives - a survey
GAMORA: A Gesture Articulated Meta Operative Robotic Arm for Hazardous Material Handling in Containment-Level Environments
Active Linkability Attacks
STRelay: A Universal Spatio-Temporal Relaying Framework for Location Prediction with Future Spatiotemporal Contexts
Route Planning Using Nature-Inspired Algorithms
Predicting NCAP Safety Ratings: An Analysis of Vehicle Characteristics and ADAS Features Using Machine Learning
The German Commons - 154 Billion Tokens of Openly Licensed Text for German Language Models
A Case Study on Context Encoding in Multi-Encoder based Document-Level Neural Machine Translation
PA-CFL: Privacy-Adaptive Clustered Federated Learning for Transformer-Based Sales Forecasting on Heterogeneous Retail Data
Optimal transmission switching and grid reconfiguration for transmission systems via convex relaxations
Cloud Computing Simulation Using CloudSim
Transfer Learning or Self-supervised Learning? A Tale of Two Pretraining Paradigms
Scope of Online Maternal Health Information in Kinyarwanda and Opportunities for Digital Health Developers
Estimating Cloth Elasticity Parameters Using Position-Based Simulation of Compliant Constrained Dynamics
TCKIN: A Novel Integrated Network Model for Predicting Mortality Risk in Sepsis Patients
Transmitter and Receiver Architectures for Molecular Communications: A Survey on Physical Design with Modulation, Coding and Detection Techniques
Claim Detection for Automated Fact-checking: A Survey on Monolingual, Multilingual and Cross-Lingual Research
Parallel and algebraic lambda-calculi in intuitionistic propositional logic
Dense Audio-Visual Event Localization under Cross-Modal Consistency and Multi-Temporal Granularity Collaboration
WALNUT: A Benchmark on Weakly Supervised Learning for Natural Language Understanding
Classification of Spreadsheet Errors
Some short notes on oriented line graphs and related matrices
Lower bounds for the greatest possible number of colors in interval edge colorings of bipartite cylinders and bipartite tori
PUNCH: Positive UNlabelled Classification based information retrieval in Hyperspectral images
Joint LDPC and Physical-layer Network Coding for Asynchronous Bi-directional Relaying
TR02: State dependent oracle masks for improved dynamical features
Parameterized Complexity Results for Bayesian Inference
Attractor identification in asynchronous Boolean dynamics with network reduction
Relations between the Local Weight Distributions of a Linear Block Code, Its Extended Code, and Its Even Weight Subcode
An Adaptive Behaviour-Based Strategy for SARs interacting with Older Adults with MCI during a Serious Game Scenario
Polynomial approximation on C 2 -domains
Visualizing Image Content to Explain Novel Image Discovery
Prefill vs. Decode Bottlenecks: SRAM-Frequency Tradeoffs and the Memory-Bandwidth Ceiling
About a Proof Pearl: A Purported Solution to a POPLMARK Challenge Problem that is Not One
A Popov Stability Condition for Uncertain Linear Quantum Systems
Arbitrarily high-order exponential cut-off methods for preserving maximum principle of parabolic equations
Predicting Food Security Outcomes Using Convolutional Neural Networks (CNNs) for Satellite Tasking
Model Predictive Control with High-Probability Safety Guarantee for Nonlinear Stochastic Systems
Improved error estimates for a modified exponential Euler method for the semilinear stochastic heat equation with rough initial data
HierCode: A Lightweight Hierarchical Codebook for Zero-shot Chinese Text Recognition
Reasoning About Internet Connectivity
SCAPHY: Detecting Modern ICS Attacks by Correlating Behaviors in SCADA and PHYsical
On the Optimal Number of Cooperative Base Stations in Network MIMO Systems
Analyzing and Mitigating the Impact of Permanent Faults on a Systolic Array Based Neural Network Accelerator
Group-based Fair Learning Leads to Counter-intuitive Predictions
Verification methods for international AI agreements
Predicting battery end of life from solar off-grid system field data using machine learning
VoCoG: An Intelligent, Non-Intrusive Assistant for Voice-based Collaborative Group-Viewing
Fast Falsification of Neural Networks using Property Directed Testing
On Zeroth-Order Stochastic Convex Optimization via Random Walks
BERT Learns (and Teaches) Chemistry
A Frequency Domain Constraint for Synthetic X-ray Image Super Resolution
SecureV2X: An Efficient and Privacy-Preserving System for Vehicle-to-Everything (V2X) Applications
A domain adaptation neural network for digital twin-supported fault diagnosis
Measuring the Hidden Cost of Data Valuation through Collective Disclosure
Investigating Test-Time Scaling with Reranking for Machine Translation
On Capacity of the Dirty Paper Channel with Fading Dirt in the Strong Fading Regime
AFU: Actor-Free critic Updates in off-policy RL for continuous control