yusuke1997/dblp-id-title huggingface dataset:
Covert Communication over Noisy Channels: A Resolvability Perspective
Simple Round Compression for Parallel Vertex Cover
Discrimination of Internal Faults and Other Transients in an Interconnected System with Power Transformers and Phase Angle Regulators
Monte Carlo Estimators for the Schatten p-norm of Symmetric Positive Semidefinite Matrices
Data-Driven Distributionally Robust Scheduling of Community Integrated Energy Systems with Uncertain Renewable Generations Considering Integrated Demand Response
Zap: Making Predictions Based on Online User Behavior
Bridging Streaming Continual Learning via In-Context Large Tabular Models
L 0 Isotonic Regression With Secondary Objectives
Clean up your Mesh! Part 1: Plane and simplex
PrediFlow: A Flow-Based Prediction-Refinement Framework for Real-Time Human Motion Prediction in Human-Robot Collaboration
Deep Feature Aggregation with Heat Diffusion for Image Retrieval
Congested Clique Counting for Local Gibbs Distributions
Lightweight Model Editing for LLMs to Correct Deprecated API Recommendations
Brain-like Functional Organization within Large Language Models
Challenging Environments for Traffic Sign Detection: Reliability Assessment under Inclement Conditions
Pose Matters: Evaluating Vision Transformers and CNNs for Human Action Recognition on Small COCO Subsets
An Iterative Approach to Topic Modelling
Learning from Mistakes: Self-Regularizing Hierarchical Semantic Representations in Point Cloud Segmentation
From Matching Logic To Parallel Imperative Language Verification
Algorithms for Optimizing Acyclic Queries
Local Lagrangian reduced-order modeling for Rayleigh-Taylor instability by solution manifold decomposition
Temporal motifs in time-dependent networks
Tequila: Trapping-free Ternary Quantization for Large Language Models
Learning Partially Aligned Item Representation for Cross-Domain Sequential Recommendation
InFocus: A spatial coding technique to mitigate misfocus in near field LoS beamforming
Recurrent Neural Based Electricity Load Forecasting of G-20 Members
Gaussian Interference Channel with Intermittent Feedback
Immediate or Reflective?: Effects of Real-timeFeedback on Group Discussions over Videochat
Continual Learning in Bio-plausible Spiking Neural Networks with Hebbian and Spike Timing Dependent Plasticity: A Survey and Perspective
Advantages and limitations of quantum routing
On the Parameterized Complexity Of Grid Contraction
Parameter-Efficient Adaptation of mPLUG-Owl2 via Pixel-Level Visual Prompts for NR-IQA
Enhancing the development of Cherenkov Telescope Array control software with Large Language Models
Gaussian kernel-based motion measurement
Quantitative Approximation of the Probability Distribution of a Markov Process by Formal Abstractions
Neural Architecture Search of Hybrid Models for NPU-CIM Heterogeneous AR/VR Devices
Lebesgue Constants For Cantor Sets
Simpler becomes Harder: Do LLMs Exhibit a Coherent Behavior on Simplified Corpora?
Frequency Regulation with Storage: On Losses and Profits
Isogeometric Residual Minimization Method (iGRM) with Direction Splitting Preconditoner for Stationary Advection-Diffusion Problems
A New Full Adder Cell for Molecular Electronics
Confirmation Bias in Social Networks
FedCAR: Cross-client Adaptive Re-weighting for Generative Models in Federated Learning
Cracking the Code: Evaluating Zero-Shot Prompting Methods for Providing Programming Feedback
Rumor Spreading and Source Identification: A Hide and Seek Game
Chest X-ray Pneumothorax Segmentation Using EfficientNet-B4 Transfer Learning in a U-Net Architecture
The Boundary Element Method of Peridynamics
RoboHorizon: An LLM-Assisted Multi-View World Model for Long-Horizon Robotic Manipulation
Improving the Algorithm of Deep Learning with Differential Privacy
Generative Adversarial Learning of Sinkhorn Algorithm Initializations
Vocabulary Adaptation for Distant Domain Adaptation in Neural Machine Translation
Active learning for regression in engineering populations: A risk-informed approach
On the Potential of Twitter for Understanding the Tunisia of the Post-Arab Spring
Behavior Cloning in OpenAI using Case Based Reasoning
A well-balanced semi-implicit IMEX finite volume scheme for ideal Magnetohydrodynamics at all Mach numbers
FedNI: Federated Graph Learning with Network Inpainting for Population-Based Disease Prediction
Development of Hybrid Intelligent Systems and their Applications from Engineering Systems to Complex Systems
NSPG-Miner: Mining Repetitive Negative Sequential Patterns
LibNDT: Towards a Formal Library on Spreadable Properties over Linked Nested Datatypes
E2R: a Hierarchical-Learning inspired Novelty-Search method to generate diverse repertoires of grasping trajectories
On Small-depth Frege Proofs for PHP
Deployment of ML Models using Kubeflow on Different Cloud Providers
A Unified Perspective of Evolutionary Game Dynamics Using Generalized Growth Transforms
Building Quantum Field Theories Out of Neurons
Distilling Implicit Multimodal Knowledge into LLMs for Zero-Resource Dialogue Generation
Interval Deep Learning for Uncertainty Quantification in Safety Applications
A Blockchain and Artificial Intelligence based System for Halal Food Traceability
Multi-Objective Evolutionary Neural Architecture Search for Recurrent Neural Networks
An Algebraic View on the Semantics of model Composition
Zero-shot Monocular Metric Depth for Endoscopic Images
Vision Based Machine Learning Algorithms for Out-of-Distribution Generalisation
Approximation Algorithms for Distributed Multi-Robot Coverage in Non-Convex Environments
ReBrain: Brain MRI Reconstruction from Sparse CT Slice via Retrieval-Augmented Diffusion
Tensor approximation of functional differential equations
San Francisco Crime Classification
Generalizing the Kawaguchi-Kyan bound to stochastic parallel machine scheduling
Climate Downscaling: A Deep-Learning Based Super-resolution Model of Precipitation Data with Attention Block and Skip Connections
Automated Vigilance State Classification in Rodents Using Machine Learning and Feature Engineering
Convergence analysis of an implicit finite difference method for the inertial Landau-Lifshitz-Gilbert equation
Evaluating Cooling Center Coverage Using Persistent Homology of a Filtered Witness Complex
Reconstructing parameters of spreading models from partial observations
On Large Batch Training and Sharp Minima: A Fokker-Planck Perspective
FMCode: A 3D In-the-Air Finger Motion Based User Login Framework for Gesture Interface
Path Planning and Motion Control for Accurate Positioning of Car-like Robots
Visualized Text-to-Image Retrieval
Gaussian Process Uncertainty in Age Estimation as a Measure of Brain Abnormality
Robustness of Speech Separation Models for Similar-pitch Speakers
Multi-Level Attention Pooling for Graph Neural Networks: Unifying Graph Representations with Multiple Localities
High-Fidelity Digital Twins: Detecting and Localizing Weaknesses in Structures
Crossmodal Knowledge Distillation with WordNet-Relaxed Text Embeddings for Robust Image Classification
Multi-Precision Quantized Neural Networks via Encoding Decomposition of -1 and +1
Comments on Mathematical Modeling of Current Source Matrix Converter with Venturini and SVM
Intersection Warning System for Occlusion Risks using Relational Local Dynamic Maps
Risk Analysis and Policy Enforcement of Function Interactions in Robot Apps
XLST: Cross-lingual Self-training to Learn Multilingual Representation for Low Resource Speech Recognition
On the inductive bias of infinite-depth ResNets and the bottleneck rank
Found in Translation: semantic approaches for enhancing AI interpretability in face verification
Piecewise-Linear Approximation for Feature Subset Selection in a Sequential Logit Model
The application of the Bayes Ying Yang harmony based GMMs in on-line signature verification
Credal Wrapper of Model Averaging for Uncertainty Estimation on Out-Of-Distribution Detection
Animated Visual Encoding and Layer Blending for Identification of Educational Game Strategies
ML-Assisted UE Positioning: Performance Analysis and 5G Architecture Enhancements
Runtime Advocates: A Persona-Driven Framework for Requirements@Runtime Decision Support
BOOST: BOttleneck-Optimized Scalable Training Framework for Low-Rank Large Language Models
AdsorbML: Accelerating Adsorption Energy Calculations with Machine Learning
Double-loop quasi-Monte Carlo estimator for nested integration
Improving Generative Pre-Training: An In-depth Study of Masked Image Modeling and Denoising Models
Prediction of Diblock Copolymer Morphology via Machine Learning
Hadith Web Browser Verification Extension
On the locality of arb-invariant first-order formulas with modulo counting quantifiers
On Data-Driven Modeling and Control in Modern Power Grids Stability: Survey and Perspective
xLSTM-ECG: Multi-label ECG Classification via Feature Fusion with xLSTM
Blind Multi-class Ensemble Learning with Unequally Reliable Classifiers
TROLL: Trust Regions improve Reinforcement Learning for Large Language Models
Pulsar Detection with Deep Learning
Latent Ewald summation for machine learning of long-range interactions
A Nonlinear Projection-Based Iteration Scheme with Cycles over Multiple Time Steps for Solving Thermal Radiative Transfer Problems
Krylov subspace methods for the solution of linear Toeplitz systems
A Systematic Review on Fostering Appropriate Trust in Human-AI Interaction
VGGT-X: When VGGT Meets Dense Novel View Synthesis
Multimodal Human-Intent Modeling for Contextual Robot-to-Human Handovers of Arbitrary Objects
Impact of local information in growing networks
MAPLE: Multi-scale Attribute-enhanced Prompt Learning for Few-shot Whole Slide Image Classification
Flow-Based Integrated Assignment and Path-Finding for Mobile Robot Sorting Systems
Analysis of Mixed Finite Elements for Elasticity. II. Weak stress symmetry
Explaining Queries over Web Tables to Non-Experts
Toward accurate RUL and SOH estimation using reinforced graph-based PINNs enhanced with dynamic weights
Coalitional Manipulations and Immunity of the Shapley Value
AMP0: Species-Specific Prediction of Anti-microbial Peptides using Zero and Few Shot Learning
Unsupervised domain adaptation via double classifiers based on high confidence pseudo label
Recent Advances in Neural Question Generation
Wasserstein Neural Processes
A Residual Encoder-Decoder Network for Segmentation of Retinal Image-Based Exudates in Diabetic Retinopathy Screening
Towards Optimized Distributed Multi-Robot Printing: An Algorithmic Approach
Discourse Representation Structure Parsing for Chinese
Deep Reinforcement Learning for Detecting Malicious Websites
The Social Impact of Generative LLM-Based AI
A Universal Scaling Theory for Complexity of Analog Computation
Generalized Hostadter functions G, H and beyond: numeration systems and discrepancy
ContextBuddy: AI-Enhanced Contextual Insights for Security Alert Investigation (Applied to Intrusion Detection)
Analysis for a class of stochastic fractional nonlinear Schrödinger equations
Dataset Distillation from First Principles: Integrating Core Information Extraction and Purposeful Learning
Frequency Bias Matters: Diving into Robust and Generalized Deep Image Forgery Detection
A semi-implicit high-order space-time scheme on staggered meshes for the 2D incompressible Navier-Stokes equations
Structured Hough Voting for Vision-based Highway Border Detection
Safer in Translation? Presupposition Robustness in Indic Languages
An ecumenical view of proof-theoretic semantics
Liar's vertex-edge domination in subclasses of chordal graphs
A Generative Adversarial Framework for Optimizing Image Matting and Harmonization Simultaneously
$χ$-bounds, operations and chords
Relating Edge Computing and Microservices by means of Architecture Approaches and Features, Orchestration, Choreography, and Offloading: A Systematic Literature Review
Noise Projection: Closing the Prompt-Agnostic Gap Behind Text-to-Image Misalignment in Diffusion Models
Facial Expression Analysis Using Decomposed Multiscale Spatiotemporal Networks
Improving Deep Neuroevolution via Deep Innovation Protection
An Online Algorithm for Learning Selectivity to Mixture Means
Cyclic Group Projection for Enumerating Quasi-Cyclic Codes Trapping Sets
How Market Volatility Shapes Algorithmic Collusion: A Comparative Analysis of Learning-Based Pricing Algorithms
A Simple, Strong and Robust Baseline for Distantly Supervised Relation Extraction
CoSP: Co-supervised pretraining of pocket and ligand
Secure Control of Connected and Automated Vehicles Using Trust-Aware Robust Event-Triggered Control Barrier Functions
Class Enhancement Losses with Pseudo Labels for Zero-shot Semantic Segmentation
Quantum State Diffusion on a Graph
PI2: Generating Visual Analysis Interfaces From Queries
Local Collaborative Filtering: A Collaborative Filtering Method that Utilizes Local Similarities among Users
Design not Lost in Translation: A Case Study of an Intimate-Space Socially Assistive Robot for Emotion Regulation
Capturing human categorization of natural images at scale by combining deep networks and cognitive models
Weight Initialization Techniques for Deep Learning Algorithms in Remote Sensing: Recent Trends and Future Perspectives
Large-Scale Data Selection for Instruction Tuning
Combined Task and Motion Planning Via Sketch Decompositions (Extended Version with Supplementary Material)
Scalable Quantum Neural Networks for Classification
Mitigating Annotation Artifacts in Natural Language Inference Datasets to Improve Cross-dataset Generalization Ability
Rhythms of the collective brain: Metastable synchronization and cross-scale interactions in connected multitudes
Toward the Understanding of Deep Text Matching Models for Information Retrieval
Porcellio scaber algorithm (PSA) for solving constrained optimization problems
HFN: Heterogeneous Feature Network for Multivariate Time Series Anomaly Detection
SpikeSim: An end-to-end Compute-in-Memory Hardware Evaluation Tool for Benchmarking Spiking Neural Networks
TRAIL: Trace Reasoning and Agentic Issue Localization
Parallel numerical method for nonlocal-in-time Schrödinger equation
Real-Time Dense Stereo Matching With ELAS on FPGA Accelerated Embedded Devices
Auto-Connect: Connectivity-Preserving RigFormer with Direct Preference Optimization
A Unified Framework for Tuning Hyperparameters in Clustering Problems
Crafting Physical Adversarial Examples by Combining Differentiable and Physically Based Renders
Semantic Communication in Dynamic Channel Scenarios: Collaborative Optimization of Dual-Pipeline Joint Source-Channel Coding and Personalized Federated Learning
Wiki-TabNER: Advancing Table Interpretation Through Named Entity Recognition
Designing Enhanced Multi-dimensional Constellations for Code-Domain NOMA
Dense Multi-view 3D-reconstruction Without Dense Correspondences
Crowd Counting with Online Knowledge Learning
The IceProd Framework: Distributed Data Processing for the IceCube Neutrino Observatory
Pentapods with Mobility 2
A Latent Variable Recurrent Neural Network for Discourse Relation Language Models
Robust synchronization of electric power generators
Unleashing Perception-Time Scaling to Multimodal Reasoning Models
FinRobot: An Open-Source AI Agent Platform for Financial Applications using Large Language Models
Parameter Compression of Recurrent Neural Networks and Degredation of Short-term Memory
Neural-Symbolic Descriptive Action Model from Images: The Search for STRIPS
Iterative Reweighted Singular Value Minimization Methods for $l_p$ Regularized Unconstrained Matrix Minimization
Diffusion Reconstruction-based Data Likelihood Estimation for Core-Set Selection
Investigating the Treacherous Turn in Deep Reinforcement Learning
LLMRec: Benchmarking Large Language Models on Recommendation Task
Embodied Crowd Counting
Optimized Computation Offloading Performance in Virtual Edge Computing Systems via Deep Reinforcement Learning
Heuristic-Based Weak Learning for Moral Decision-Making
Fine-tuning Behavioral Cloning Policies with Preference-Based Reinforcement Learning
Learning who is in the market from time series: market participant discovery through adversarial calibration of multi-agent simulators
The Causal Role of Astrocytes in Slow-Wave Rhythmogenesis: A Computational Modelling Study
Plugging Schema Graph into Multi-Table QA: A Human-Guided Framework for Reducing LLM Reliance
The Enhanced Hybrid MobileNet
Expressando Atributos Não-Funcionais em Workflows Científicos
On the Perception of Difficulty: Differences between Humans and AI
Channel Transition Invariant Fast Broadcasting Scheme
Finding dissimilar explanations in Bayesian networks: Complexity results
Assessing the importance of long-range correlations for deep-learning-based sleep staging
A Disease-Centric Vision-Language Foundation Model for Precision Oncology in Kidney Cancer
New Findings about Multi Conductor Noise in Narrow Band PLC
Two-way Node Popularity Model for Directed and Bipartite Networks
Can Human-Like Bots Control Collective Mood: Agent-Based Simulations of Online Chats
Generalized and Resource-Efficient VNet Embeddings with Migrations
Formal specification of a security framework for smart contracts
Universal Approximation Theory: The basic theory for large language models
Bayesian Nash Equilibrium Seeking for Distributed Incomplete-information Aggregative Games
A Type System For Call-By-Name Exceptions
Parameter Estimation in ODE Models with Certified Polynomial System Solving
Replacement as a Self-supervision for Fine-grained Vision-language Pre-training
Tipping Points of Evolving Epidemiological Networks: Machine Learning-Assisted, Data-Driven Effective Modeling
First Order System Least Squares Neural Networks
Manifold Embedded Knowledge Transfer for Brain-Computer Interfaces
Proceedings 8th International Workshop on Security Issues in Concurrency, SecCo 2010, Paris, France, 30th August 2010
Quantifying the Utility-Privacy Tradeoff in the Smart Grid
Emotional Dimension Control in Language Model-Based Text-to-Speech: Spanning a Broad Spectrum of Human Emotions
RadioKMoE: Knowledge-Guided Radiomap Estimation with Kolmogorov-Arnold Networks and Mixture-of-Experts
On the complexity of quantum partition functions
Transformer-based Program Synthesis for Low-Data Environments
Integrating Heuristics and Learning in a Computational Architecture for Cognitive Trading
Sign language recognition based on deep learning and low-cost handcrafted descriptors
The Landscape of Matrix Factorization Revisited
Background Adaptive Faster R-CNN for Semi-Supervised Convolutional Object Detection of Threats in X-Ray Images
LiteDiff
Identification of hybrid node and link communities in complex networks
Explainable Deep Neural Network for Multimodal ECG Signals: Intermediate vs Late Fusion
Fast Controlled Generation from Language Models with Adaptive Weighted Rejection Sampling
Synchronization in Networks of Coupled Oscillators with Large Parameter Mismatches
Spectra of random graphs with community structure and arbitrary degrees
Directed Metric Structures arising in Large Language Models
A Second-Order Attention Mechanism For Prostate Cancer Segmentation and Detection in Bi-Parametric MRI
Towards Ultra-Low Latency: Binarized Neural Network Architectures for In-Vehicle Network Intrusion Detection
PT-DETR: Small Target Detection Based on Partially-Aware Detail Focus
Support Aggregate Analytic Window Function over Large Data by Spilling
Learning how to listen: Automatically finding bug patterns in event-driven JavaScript APIs
On Quantum Codes Obtained From Cyclic Codes Over F_2+vF_2+v^2F_2
A Survey of Voice Translation Methodologies - Acoustic Dialect Decoder
Sharp Conditions for Exact Support Recovery of Sparse Signals with Noise via OMP
BridgeVLA: Input-Output Alignment for Efficient 3D Manipulation Learning with Vision-Language Models
Compressed Sensing without Sparsity Assumptions
MapReduce Parallel Cuckoo Hashing and Oblivious RAM Simulations
LLM Knows Geometry Better than Algebra: Numerical Understanding of LLM-Based Agents in A Trading Arena
Emergence of complex data from simple local rules in a network game
Nonlocal compression of two-photon correlation time with chirp-dispersion interaction
Highly Localized RBF Lagrange Functions for Finite Difference Methods on Spheres
Universally-Optimal Distributed Shortest Paths and Transshipment via Graph-Based L1-Oblivious Routing
Remembering Netizens: An interview with Ronda Hauben, co-author of Netizens: On the history and impact of Usenet and the Internet (1997)
CDR: Customizable Density Ratios of Strong-over-weak LLMs for Preference Annotation
A Systematic Literature Review on Smart Contracts Security
Towards a Data-driven IoT Software Architecture for Smart City Utilities
Learning Parsimonious Dynamics for Generalization in Reinforcement Learning
Cascade-Aware Training of Language Models
ASCRIBE-XR: Virtual Reality for Visualization of Scientific Imagery
Universal Multi-modal Multi-domain Pre-trained Recommendation
Towards Harmful Erotic Content Detection through Coreference-Driven Contextual Analysis
fMRI2GES: Co-speech Gesture Reconstruction from fMRI Signal with Dual Brain Decoding Alignment
Elasticity on Ontology Matching of Folksodriven Structure Network
Foundations of self-progressive choice theories
A Novel Column Generation Heuristic for Airline Crew Pairing Optimization with Large-scale Complex Flight Networks
Two-Timescale Design for STAR-RIS Aided NOMA Systems
W3-Scrape - A Windows based Reconnaissance Tool for Web Application Fingerprinting
Bipartite Graph Variational Auto-Encoder with Fair Latent Representation to Account for Sampling Bias in Ecological Networks
GWEn - An Open-Source Wireless Physical-Layer Evaluation Platform
Local convergence analysis of the Gauss-Newton-Kurchatov method
Combining Radiomics and Machine Learning Approaches for Objective ASD Diagnosis: Verifying White Matter Associations with ASD
Multi-Criteria Evaluation of Partitioning Schemes for Real-Time Systems
Symmetric Disclosure: a Fresh Look at k-Anonymity
Understanding Deep Learning by Revisiting Boltzmann Machines: An Information Geometry Approach
Time- and Space-Optimal Silent Self-Stabilizing Exact Majority in Population Protocols
Analysis of patent activity in the field of quantum information processing
RS-Agent: Automating Remote Sensing Tasks through Intelligent Agents
Network EM Algorithm for Gaussian Mixture Model in Decentralized Federated Learning
PassTSL: Modeling Human-Created Passwords through Two-Stage Learning
Dual Classification Head Self-training Network for Cross-scene Hyperspectral Image Classification
Local Quadratic Convergence of Stochastic Gradient Descent with Adaptive Step Size
Combining SimTrust and Weighted Simple Exponential Smoothing
Comparison Between Two Numerical Schemes to Study the Spectra of Charmed Quarkonium
The Multicolored Graph Realization Problem
Combinatorial Game Theory, Well-Tempered Scoring Games, and a Knot Game
Distributed Stochastic Optimization over Time-Varying Noisy Network
Maximum weight codewords of a linear rank metric code
The Generalized Trust Region Subproblem: solution complexity and convex hull results
Residues and Telescopers for Rational Functions
Leveraging Media Frames to Improve Normative Diversity in News Recommendations
Continual Learning of Numerous Tasks from Long-tail Distributions
Seeing the Whole in the Parts in Self-Supervised Representation Learning
A new paradigm for global sensitivity analysis
Source Separation of Unknown Numbers of Single-Channel Underwater Acoustic Signals Based on Autoencoders
LAVA: Label-efficient Visual Learning and Adaptation
Autonomy in the Real-World: Autonomous Trajectory Planning for Asteroid Reconnaissance via Stochastic Optimization
End-to-end Semantic-centric Video-based Multimodal Affective Computing
Forecasting Action through Contact Representations from First Person Video
On Codes for Optimal Rebuilding Access
Consensus-Driven Active Model Selection
Implementation and Evaluation of a Multivariate Abstraction-Based, Interval-Based Dynamic Time-Warping Method as a Similarity Measure for Longitudinal Medical Records
Partial-Diffusion Least Mean-Square Estimation Over Networks Under Noisy Information Exchange
Planning Safety Trajectories with Dual-Phase, Physics-Informed, and Transportation Knowledge-Driven Large Language Models