yusuke1997/dblp-id-title huggingface dataset:
Tomur: Traffic-Aware Performance Prediction of On-NIC Network Functions with Multi-Resource Contention
Stable Support Recovery of Stream of Pulses with Application to Ultrasound Imaging
Transformation of basic probability assignments to probabilities based on a new entropy measure
Linear-memory and Decomposition-invariant Linearly Convergent Conditional Gradient Algorithm for Structured Polytopes
Understanding Cross-Domain Few-Shot Learning: An Experimental Study
Augmented Reality on the Large Scene Based on a Markerless Registration Framework
Learn to Memorize: Optimizing LLM-based Agents with Adaptive Memory Framework
When Actions Teach You to Think: Reasoning-Action Synergy via Reinforcement Learning in Conversational Agents
On the Ding and Helleseth's 8th open problem about optimal ternary cyclic codes
Strong Baseline and Bag of Tricks for COVID-19 Detection of CT Scans
Classification of Ordinal Data
UHD Image Deblurring via Multi-scale Cubic-Mixer
Algorithms for geometrical operations with NURBS surfaces
Optimization driven kinematic control of constrained collaborative mobile agents with high mobility
GRExplainer: A Universal Explanation Method for Temporal Graph Neural Networks
Polyffusion: A Diffusion Model for Polyphonic Score Generation with Internal and External Controls
Improving automatic detection of driver fatigue and distraction using machine learning
A Multi-Agent System for Solving the Dynamic Capacitated Vehicle Routing Problem with Stochastic Customers using Trajectory Data Mining
Study of Knowledge-Aided Iterative Detection and Decoding for Multiuser MIMO Systems
Safety Verification of Stochastic Systems under Signal Temporal Logic Specifications
Demonstrating ViSafe: Vision-enabled Safety for High-speed Detect and Avoid
Multi-feature driven active contour segmentation model for infrared image with intensity inhomogeneity
A Fault Tolerant Mechanism for Partitioning and Offloading Framework in Pervasive Environments
Towards RTT Fairness of Congestion-Based Congestion Control
Valued Ties Tell Fewer Lies, II: Why Not To Dichotomize Network Edges With Bounded Outdegrees
Analysis of Seismic Inversion with Optimal Transportation and Softplus Encoding
Transformer in action: a comparative study of transformer-based acoustic models for large scale speech recognition applications
Know Your Audience: Do LLMs Adapt to Different Age and Education Levels?
Remarks on AKS Primality Testing Algorithm and A Flaw in the Definition of P
Exploring the Diversity and Invariance in Yourself for Visual Pre-Training Task
Learning to Combine the Modalities of Language and Video for Temporal Moment Localization
TabTune: A Unified Library for Inference and Fine-Tuning Tabular Foundation Models
Exploring the Necessity of Visual Modality in Multimodal Machine Translation using Authentic Datasets
Integration of neural network and fuzzy logic decision making compared with bilayered neural network in the simulation of daily dew point temperature
Learning Stability Certificate for Robotics in Real-World Environments
Sleep Modulation: The Challenge of Transitioning from Open Loop to Closed Loop
A comprehensive control architecture for semi-autonomous dual-arm robots in agriculture settings
Distribution System Voltage Control under Uncertainties
A study of retrieval algorithms of sparse messages in networks of neural cliques
AI for ERW Detection in Clearance Operations - The State of Research
No-boarding buses: Agents allowed to cooperate or defect
An Uncertainty Principle for the Curvelet Transform, and the Infeasibility of Quantum Algorithms for Finding Short Lattice Vectors
The Effect of SGD Batch Size on Autoencoder Learning: Sparsity, Sharpness, and Feature Learning
Towards Accurate Knowledge Transfer via Target-awareness Representation Disentanglement
An Oracle and Observations for the OpenAI Gym / ALE Freeway Environment
GlórIA - A Generative and Open Large Language Model for Portuguese
Pretrained Language Encoders are Natural Tagging Frameworks for Aspect Sentiment Triplet Extraction
A Study on the Performance of U-Net Modifications in Retroperitoneal Tumor Segmentation
Biologically-Motivated Deep Learning Method using Hierarchical Competitive Learning
Private Product Computation using Quantum Entanglement
Adversarial generalization of unfolding (model-based) networks
ADHD diagnosis based on action characteristics recorded in videos using machine learning
Interpreting Cloud Computer Vision Pain-Points: A Mining Study of Stack Overflow
Lung Nodule Classification by the Combination of Fusion Classifier and Cascaded Convolutional Neural Networks
From Correspondences to Pose: Non-minimal Certifiably Optimal Relative Pose without Disambiguation
Fast Localization and Tracking in City-Scale UWB Networks
A taxonomy of circular economy indicators
The Noise Geometry of Stochastic Gradient Descent: A Quantitative and Analytical Characterization
Sign Language Recognition via Skeleton-Aware Multi-Model Ensemble
Performance of TCP/IP Using ATM ABR and UBR Services over Satellite Networks
Cooperative Vision-based Localization Networks with Communication Constraints
GNNShap: Fast and Accurate GNN Explanations using Shapley Values
Computational Complexity, Phase Transitions, and Message-Passing for Community Detection
Learning to Undo: Rollback-Augmented Reinforcement Learning with Reversibility Signals
Applications of Deep Learning for Ill-Posed Inverse Problems Within Optical Tomography
Generating upward sweeps in population using the Turchin-Korotayev model
Judging LLMs on a Simplex
muPRL: A Mutation Testing Pipeline for Deep Reinforcement Learning based on Real Faults
Patent Data for Engineering Design: A Review
MoCoNet: Motion Correction in 3D MPRAGE images using a Convolutional Neural Network approach
Statistical Laws Governing Fluctuations in Word Use from Word Birth to Word Death
RESFM: Robust Equivariant Multiview Structure from Motion
Bayesian Optimization Parameter Tuning Framework for a Lyapunov Based Path Following Controller
The problem of computing a 2 -T-connected spanning subgraph with minimum number of edges in directed graphs
Selective Memory Recursive Least Squares: Uniformly Allocated Approximation Capabilities of RBF Neural Networks in Real-Time Learning
How to validate average calibration for machine learning regression tasks ?
Infrared Image Super-Resolution: Systematic Review, and Future Trends
An Active Diffusion Neural Network for Graphs
When is Offline Two-Player Zero-Sum Markov Game Solvable?
Attention Based Molecule Generation via Hierarchical Variational Autoencoder
Elastic Coupled Co-clustering for Single-Cell Genomic Data
LAPIS: A Performance Portable, High Productivity Compiler Framework
Comparative Computational Analysis of Global Structure in Canonical, Non-Canonical and Non-Literary Texts
Kernel methods library for pattern analysis and machine learning in python
A Novel Use of Pseudospectra in Mathematical Biology: Understanding HPA Axis Sensitivity
Adversarial sample generation and training using geometric masks for accurate and resilient license plate character recognition
Analysis of Network Robustness for Finite Sized Wireless Sensor Networks
Multi-Objective CNN Based Algorithm for SAR Despeckling
Automatic Detection of Diabetes Diagnosis using Feature Weighted Support Vector Machines based on Mutual Information and Modified Cuckoo Search
Memory Storage in a Variable Threshold Neural Network
Entanglement-assisted capacities of compound quantum channels
Exceptions in Business Processes in Relation to Operational Performance
Strategic Incentivization for Locally Differentially Private Federated Learning
A Differential Evolution-Enhanced Latent Factor Analysis Model for High-dimensional and Sparse Data
Natural Reflection Backdoor Attack on Vision Language Model for Autonomous Driving
RF-LighGBM: A probabilistic ensemble way to predict customer repurchase behaviour in community e-commerce
Graph-MLLM: Harnessing Multimodal Large Language Models for Multimodal Graph Learning
A BEOL Compatible, 2-Terminals, Ferroelectric Analog Non-Volatile Memory
Investigating Reliability Aspects of Memristor based RRAM with Reference to Write Voltage and Frequency
Feature-context driven Federated Meta-Learning for Rare Disease Prediction
Red-Teaming Text-to-Image Systems by Rule-based Preference Modeling
Introduction to ethics in the age of digital communication
Measuring How LLMs Internalize Human Psychological Concepts: A preliminary analysis
Fault and Performance Management in Multi-Cloud Based NFV using Shallow and Deep Predictive Structures
Contrastive Region Guidance: Improving Grounding in Vision-Language Models without Training
A Survey on Applications of Reinforcement Learning in Spatial Resource Allocation
Dynamic Logics of Dynamical Systems
Categorization of Program Regions for Agile Compilation using Machine Learning and Hardware Support
Structured light with a million light planes per second
Is information a selectable trait?
Thinking on Maps: How Foundation Model Agents Explore, Remember, and Reason Map Environments
The Subtle Art of Defection: Understanding Uncooperative Behaviors in LLM based Multi-Agent Systems
Learning to Drive Small Scale Cars from Scratch
Document-level Relation Extraction with Cross-sentence Reasoning Graph
Prevention Of Attack In Vehicular Adhoc Network Using Trust Model
MTmixAtt: Integrating Mixture-of-Experts with Multi-Mix Attention for Large-Scale Recommendation
Arachneum: Blockchain meets Distributed Web
The Rise of China in the International Trade Network: A Community Core Detection Approach
Large-scale Dynamic Network Representation via Tensor Ring Decomposition
Intelligent Motion Planning for a Cost-effective Object Follower Mobile Robotic System with Obstacle Avoidance
Robust multigrid techniques for augmented Lagrangian preconditioning of incompressible Stokes equations with extreme viscosity variations
A Theory for Emergence of Complex Skills in Language Models
PrecoderNet: Hybrid Beamforming for Millimeter Wave Systems Using Deep Reinforcement Learning
Corollaries on the fixpoint completion: studying the stable semantics by means of the Clark completion
Computation of the Hilbert Series for the Support-Minors Modeling of the MinRank Problem
Evolutive Rendering Models
Substitutional Alloying Using Crystal Graph Neural Networks
Purely Semantic Indexing for LLM-based Generative Recommendation and Retrieval
Interference Alignment and the Degrees of Freedom for the K User Interference Channel
Feature Selection on Noisy Twitter Short Text Messages for Language Identification
Persistence and Big Data Analytics Architectures for Smart Connected Vehicles
Synthesizing DSLs for Few-Shot Learning
Snips Voice Platform: an embedded Spoken Language Understanding system for private-by-design voice interfaces
DDNet: Cartesian-polar Dual-domain Network for the Joint Optic Disc and Cup Segmentation
Outage Performance of Uplink Rate Splitting Multiple Access with Randomly Deployed Users
Challenges in Adapting ECH in TLS for Privacy Enhancement over the Internet
Recent Advances in Understanding Adversarial Robustness of Deep Neural Networks
Optimal Linear and Cyclic Locally Repairable Codes over Small Fields
Moonbeam: A MIDI Foundation Model Using Both Absolute and Relative Music Attributes
New Transforms for JPEG Format
The Hebrew Bible as Data: Laboratory - Sharing - Experiences
From Sentences to Sequences: Rethinking Languages in Biological System
Variability of echo state network prediction horizon for partially observed dynamical systems
DADA: A Large-scale Benchmark and Model for Driver Attention Prediction in Accidental Scenarios
Testing and learning structured quantum Hamiltonians
Gamma Radiation Source Localization for Micro Aerial Vehicles with a Miniature Single-Detector Compton Event Camera
Monte-Carlo Sampling applied to Multiple Instance Learning for Histological Image Classification
Potentials and Challenges of Light Fidelity Based Indoor Communication System
Expert Q-learning: Deep Q-learning With State Values From Expert Examples
Optimal Sampling Density for Nonparametric Regression
SeDMiD for Confusion Detection: Uncovering Mind State from Time Series Brain Wave Data
Learning Single Camera Depth Estimation using Dual-Pixels
Benign Overfitting and Noisy Features
Isogeometric Analysis for the Pricing of Financial Derivatives with Nonlinear Models: Convertible Bonds and Options
Probabilistic Block Term Decomposition for the Modelling of Higher-Order Arrays
Constant-Factor Approximation for TSP with Disks
Cumulative culture spontaneously emerges in artificial navigators who are social and memory-guided
Spectral Neuro-Symbolic Reasoning II: Semantic Node Merging, Entailment Filtering, and Knowledge Graph Alignment
Reliable State Estimation in a Truck-Semitrailer Combination using an Artificial Neural Network-Aided Extended Kalman Filter
Automated Deep Abstractions for Stochastic Chemical Reaction Networks
An Efficient Space-Time Two-Grid Compact Difference Scheme for the Two-Dimensional Viscous Burgers' Equation
Built Different: Tactile Perception to Overcome Cross-Embodiment Capability Differences in Collaborative Manipulation
ReAgent-V: A Reward-Driven Multi-Agent Framework for Video Understanding
On Causality in Domain Adaptation and Semi-Supervised Learning: an Information-Theoretic Analysis
Utilizing Machine Learning for Signal Classification and Noise Reduction in Amateur Radio
The Collaborative Virtual Affinity Group Model: Principles and Design
Slender Object Scene Segmentation in Remote Sensing Image Based on Learnable Morphological Skeleton with Segment Anything Model
Diversified Sampling Improves Scaling LLM inference
Energy Efficiency Analysis of Active RIS-enhanced Wireless Network under Power-Sum Constraint
Measuring User Interface Accessibility for Color Blind Users
A Smoothed Analysis for Learning Sparse Polynomials
Analyticity of Entropy Rate of Continuous-State Hidden Markov Chains
Maximum Causal Entropy Inverse Reinforcement Learning for Mean-Field Games
Federated Causal Inference: Multi-Centric ATE Estimation beyond Meta-Analysis
A Feature Fusion-Net Using Deep Spatial Context Encoder and Nonstationary Joint Statistical Model for High Resolution SAR Image Classification
Classification Tree-based Active Learning: A Wrapper Approach
On Oriented Diameter of Power Graphs
Streaming Generation of Co-Speech Gestures via Accelerated Rolling Diffusion
Cross-Domain Transfer in Reinforcement Learning using Target Apprentice
MedBayes-Lite: Bayesian Uncertainty Quantification for Safe Clinical Decision Support
Safe Control Synthesis Using Environmentally Robust Control Barrier Functions
Attempt to Predict Failure Case Classification in a Failure Database by using Neural Network Models
Dynamic task scheduling in computing cluster environments
Federated Learning for Estimating Heterogeneous Treatment Effects
Revisiting Wireless Internet Connectivity: 5G vs Wi-Fi 6
Reinforcement learning for question answering in programming domain using public community scoring as a human feedback
Factorizing the Top-Loc adjunction through positive topologies
Higher category models of the pi-calculus
Toward Information Theoretic Active Inverse Reinforcement Learning
SEAL: Semantic Frame Execution And Localization for Perceiving Afforded Robot Actions
Choppy: Cut Transformer For Ranked List Truncation
Optimizing Electric Vehicle Charging Station Locations: A Data-driven System with Multi-source Fusion
Federated Learning for distribution skewed data using sample weights
Information Design for Strategic Coordination of Autonomous Devices with Non-Aligned Utilities
Adaptable TeaStore
Horizon-Free Reinforcement Learning for Latent Markov Decision Processes
No-reference image quality assessment through the von Mises distribution
Attention-Guided Masked Autoencoders For Learning Image Representations
Beyond Flat Text: Dual Self-inherited Guidance for Visual Text Generation
On the Role of Dataset Quality and Heterogeneity in Model Confidence
Towards Fingerprint Mosaicking Artifact Detection: A Self-Supervised Deep Learning Approach
Towards Distribution-Shift Uncertainty Estimation for Inverse Problems with Generative Priors
Migration in the Stencil Pluralist Cloud Architecture
Anomaly detection on streamed data
Distortion Bounds for Transmitting Correlated Sources with Common Part over MAC
Graph Neural Network and Spatiotemporal Transformer Attention for 3D Video Object Detection from Point Clouds
Learning Across Bandits in High Dimension via Robust Statistics
Exploring Audio Editing Features as User-Centric Privacy Defenses Against Emotion Inference Attacks
Achieving Optimal Output Consensus for Discrete-time Linear Multi-agent Systems with Disturbances Rejection
NEDMP: Neural Enhanced Dynamic Message Passing
Analytical model for mobile user connectivity in coexisting femtocell/macrocell networks
Robust PCA Based on Adaptive Weighted Least Squares and Low-Rank Matrix Factorization
Adaptive shape optimization with NURBS designs and PHT-splines for solution approximation in time-harmonic acoustics
Complexity of Deciding Detectability in Discrete Event Systems
Neural Fields for Adaptive Photoacoustic Computed Tomography
Toward Autonomous Engineering Design: A Knowledge-Guided Multi-Agent Framework
Shortest Paths in a Weighted Simplicial Complex
Adaptive Layer Splitting for Wireless LLM Inference in Edge Computing: A Model-Based Reinforcement Learning Approach
OASIS: Open Agent Social Interaction Simulations with One Million Agents
Bounded Model Checking of Pointer Programs Revisited
InverseRenderNet: Learning single image inverse rendering
Dynamic Text Bundling Supervision for Zero-Shot Inference on Text-Attributed Graphs
Zeroth-Order Alternating Randomized Gradient Projection Algorithms for General Nonconvex-Concave Minimax Problems
On the Applicability of Synthetic Data for Re-Identification
Investigating Spatial Attention Bias in Vision-Language Models
GOCA: Guided Online Cluster Assignment for Self-Supervised Video Representation Learning
FuXi-S2S: An accurate machine learning model for global subseasonal forecasts
Evaluating Policy Effects through Network Dynamics and Sampling
LLMs cannot spot math errors, even when allowed to peek into the solution
The high/low frequency balance drives the perception of noisy vibrations
EVA: Mixture-of-Experts Semantic Variant Alignment for Compositional Zero-Shot Learning
Efficient kernelized bandit algorithms via exploration distributions
Adaptive Visualisation System for Construction Building Information Models Using Saliency
Towards Achieving Near-optimal Utility for Privacy-Preserving Federated Learning via Data Generation and Parameter Distortion
HS-STAR: Hierarchical Sampling for Self-Taught Reasoners via Difficulty Estimation and Budget Reallocation
Weighted Food Webs Make Computing Phylogenetic Diversity So Much Harder
Demystifying Pseudo-LiDAR for Monocular 3D Object Detection
On the Correctness of Speculative Consensus
Data Infrastructure and Approaches for Ontology-Based Drug Repurposing
Online Learning of Pure States is as Hard as Mixed States
Estimating required flexibility for secure distribution grid operation considering the uncertainties of EV and PV
LOTUS: Improving Transformer Efficiency with Sparsity Pruning and Data Lottery Tickets
Stirling's approximation for central polynomial coefficients
Analysis and Optimisation of Distribution Matching for the Nonlinear Fibre Channel
Accumulate Then Transmit: Multi-user Scheduling in Full-Duplex Wireless-Powered IoT Systems
Doing Great at Estimating CATE? On the Neglected Assumptions in Benchmark Comparisons of Treatment Effect Estimators
CAC-CoT: Connector-Aware Compact Chain-of-Thought for Efficient Reasoning Data Synthesis Across Dual-System Cognitive Tasks
Fully Dynamic Spectral Sparsification for Directed Hypergraphs
Zero-failure testing of binary classifiers
A Revisit of Total Correlation in Disentangled Variational Auto-Encoder with Partial Disentanglement
On Konig-Egervary Collections of Maximum Critical Independent Sets
Performance and Cost Evaluation of Smart Contracts in Collaborative Health Care Environments
Seeing Is Believing: Black-Box Membership Inference Attacks Against Retrieval Augmented Generation
KunLunBaizeRAG: Reinforcement Learning Driven Inference Performance Leap for Large Language Models
Structural and functional networks in complex systems with delay
Approximate cycle double cover
Visualizing Topological Importance: A Class-Driven Approach
Stochastic stability analysis of legged locomotion using unscented transformation
Universal lower bound for community structure of sparse graphs
For those who don't know (how) to ask: Building a dataset of technology questions for digital newcomers
Decentralized federated learning of deep neural networks on non-iid data
Amplification of numerical wave packets for transport equations with two boundaries
Revealing Fine-Grained Values and Opinions in Large Language Models
The Multi-Event-Class Synchronization (MECS) Algorithm
Constraint Synchronization with Two or Three State Partial Constraint Automata
Linguistic trajectories of bipolar disorder on social media
Energy-efficient Alternating Iterative Secure Structure of Maximizing Secrecy Rate for Directional Modulation Networks
PANet: Perspective-Aware Network with Dynamic Receptive Fields and Self-Distilling Supervision for Crowd Counting
Observations on Recurrent Loss in the Neural Network Model of a Partial Differential Equation: the Advection-Diffusion Equation
Harnessing Uncertainty: Entropy-Modulated Policy Gradients for Long-Horizon LLM Agents
Commutative positive varieties of languages
Analysis of Generalized Iteratively Regularized Landweber Iterations driven by data
using multiple losses for accurate facial age estimation
MELLM: Exploring LLM-Powered Micro-Expression Understanding Enhanced by Subtle Motion Perception
VeruSAGE: A Study of Agent-Based Verification for Rust Systems
Mathematical method for calculating batch fragmentations and their impacts on product recall within a FIFO assignment policy
Ranking Vectors Clustering: Theory and Applications
DeepLSR: Deep learning approach for laser speckle reduction
Disrupting the Coming Robot Stampedes: Designing Resilient Information Ecologies
Dynamic Mode Decomposition in Adaptive Mesh Refinement and Coarsening Simulations
Investigating Exit Choice in Built Environment Evacuation combining Immersive Virtual Reality and Discrete Choice Modelling
Anatomical 3D Style Transfer Enabling Efficient Federated Learning with Extremely Low Communication Costs
Learning Approach to Efficient Vision-based Active Tracking of a Flying Target by an Unmanned Aerial Vehicle
FiBiNet++: Improving FiBiNet by Greatly Reducing Model Size for CTR Prediction
Predicting decision-making in the future: Human versus Machine
A Neural Architecture Mimicking Humans End-to-End for Natural Language Inference
ISTA-Net++: Flexible Deep Unfolding Network for Compressive Sensing
Decomposition techniques applied to the Clique-Stable set Separation problem
Efficient simulation of inclusions and reinforcement bars with the isogeometric Boundary Element method
A Review of ChatGPT Applications in Education, Marketing, Software Engineering, and Healthcare: Benefits, Drawbacks, and Research Directions
MedHal: An Evaluation Dataset for Medical Hallucination Detection
Approximating meta-heuristics with homotopic recurrent neural networks
Sparse Grouped Gaussian Processes for Solar Power Forecasting
On cosets weight distributions of the doubly-extended Reed-Solomon codes of codimension 4
A Robust Model-Based Approach for Continuous-Time Policy Evaluation with Unknown Lévy Process Dynamics
Fast path planning algorithms for Unmanned Aerial Vehicles
Re-evaluating Retrosynthesis Algorithms with Syntheseus
UniVIE: A Unified Label Space Approach to Visual Information Extraction from Form-like Documents
Generalization in anti-causal learning
LDC-VAE: A Latent Distribution Consistency Approach to Variational AutoEncoders
DDoS-UNet: Incorporating temporal information using Dynamic Dual-channel UNet for enhancing super-resolution of dynamic MRI
Low Complexity Channel Estimation for RIS-Assisted THz Systems with Beam Split
PROV-IO+: A Cross-Platform Provenance Framework for Scientific Data on HPC Systems