yusuke1997/dblp-id-title huggingface dataset:
SHarmonic: A fast and accurate implementation of spherical harmonics for electronic-structure calculations
Verifying Time Complexity of Binary Search using Dafny
Non-Differentiable Supervised Learning with Evolution Strategies and Hybrid Methods
"Generate" the Future of Work through AI: Empirical Evidence from Online Labor Markets
Tracking Tensor Subspaces with Informative Random Sampling for Real-Time MR Imaging
Large Antenna Analysis of Multi-Cell Full-Duplex Networks
Waves and symbols in neuromorphic hardware: from analog signal processing to digital computing on the same computational substrate
Realistic One-shot Mesh-based Head Avatars
Joint Online Spoken Language Understanding and Language Modeling with Recurrent Neural Networks
Can Image-To-Video Models Simulate Pedestrian Dynamics?
An Agentic AI Workflow for Detecting Cognitive Concerns in Real-world Data
Fuzzy Answer Set Computation via Satisfiability Modulo Theories
Regularization, early-stopping and dreaming: a Hopfield-like setup to address generalization and overfitting
Learning Multimodal AI Algorithms for Amplifying Limited User Input into High-dimensional Control Space
The Minimal and Maximal Sensitivity of the Simplified Weighted Sum Function
Ideograph: A Language for Expressing and Manipulating Structured Data
Multivariate Analysis for Computing Maxima in High Dimensions
Optimizing Data Lakes' Queries
Multi-Domain Data Aggregation for Axon and Myelin Segmentation in Histology Images
Domain Discrepancy Aware Distillation for Model Aggregation in Federated Learning
Local algorithms in (weakly) coloured graphs
Randomized Line-to-Row Mapping for Low-Overhead Rowhammer Mitigations
Bilateralist base-extension semantics with incompatible proofs and refutations
A Low-Frequency-Stable Higher-Order Spline-Based Integral Equation Method
Low Correlation Sequences from Linear Combinations of Characters
Hybrid 3-D Formation Control for Unmanned Helicopters
Distributed Scheduling at Non-Signalized Intersections with Mixed Cooperative and Non-Cooperative Vehicles
Lagrange Oscillatory Neural Networks for Constraint Satisfaction and Optimization
A Concise yet Effective model for Non-Aligned Incomplete Multi-view and Missing Multi-label Learning
Prompt-based Learning for Unpaired Image Captioning
A comment to "A General Theory of IR Evaluation Measures"
Learning to Predict Chaos: Curriculum-Driven Training for Robust Forecasting of Chaotic Dynamics
A Real-time Calculus Approach for Integrating Sporadic Events in Time-triggered Systems
Phase-field fracture irreversibility using the slack variable approach
On the Queueing Behavior of Random Codes over a Gilbert-Elliot Erasure Channel
OV-VG: A Benchmark for Open-Vocabulary Visual Grounding
Enhancing reliability in prediction intervals using point forecasters: Heteroscedastic Quantile Regression and Width-Adaptive Conformal Inference
Convergence Analysis for the PINNs
Secure Multifaceted-RAG for Enterprise: Hybrid Knowledge Retrieval with Security Filtering
Online Fault Tolerance Strategy for Abrupt Reachability Constraint Changes
Decision-informed Neural Networks with Large Language Model Integration for Portfolio Optimization
A faster FPT Algorithm and a smaller Kernel for Block Graph Vertex Deletion
Atrial Fibrillation Detection System via Acoustic Sensing for Mobile Phones
STA: Adversarial Attacks on Siamese Trackers
Seamless Interaction: Dyadic Audiovisual Motion Modeling and Large-Scale Dataset
Transformer-based Automatic Post-Editing with a Context-Aware Encoding Approach for Multi-Source Inputs
Recursive construction and enumeration of self-orthogonal and self-dual codes over finite commutative chain rings of even characteristic - II
Cross-domain-aware Worker Selection with Training for Crowdsourced Annotation
Mapping suburban bicycle lanes using street scene images and deep learning
TEC-Net: Vision Transformer Embrace Convolutional Neural Networks for Medical Image Segmentation
Instant Video Models: Universal Adapters for Stabilizing Image-Based Networks
Graph Decoupling Attention Markov Networks for Semi-supervised Graph Node Classification
Jailbreak Defense in a Narrow Domain: Limitations of Existing Methods and a New Transcript-Classifier Approach
TKIL: Tangent Kernel Approach for Class Balanced Incremental Learning
An Efficient Algorithm for Monitoring Practical TPTL Specifications
mpbn: a simple tool for efficient edition and analysis of elementary properties of Boolean networks
Enabling Value Sensitive AI Systems through Participatory Design Fictions
Influence-based Reinforcement Learning for Intrinsically-motivated Agents
Degeneration of kernel regression with Matern kernels into low-order polynomial regression in high dimension
AlignedReID: Surpassing Human-Level Performance in Person Re-Identification
Distributed Detection over Fading MACs with Multiple Antennas at the Fusion Center
An Optimal Transport Approach for Computing Adversarial Training Lower Bounds in Multiclass Classification
Secure Geographic Routing Protocols: Issues and Approaches
Emotion Detection and Analysis on Social Media
On asynchronous non-uniform cellular automata and sofic groups
Neural Architecture Search for Deep Face Recognition
Computing the coefficients for the power series solution of the Lane-Emden equation with the Python library SymPy
Adaptive Surrogate Gradients for Sequential Reinforcement Learning in Spiking Neural Networks
MusicInfuser: Making Video Diffusion Listen and Dance
The n-dimensional k-vector and its application to orthogonal range searching
Distributed Random Block-Coordinate descent methods for ill-posed composite convex optimisation problems
Efficient Policy Iteration for Robust Markov Decision Processes via Regularization
Concurrent Scheduling of Event-B Models
Can Large Language Models Predict Associations Among Human Attitudes?
On the numerical solution of a hyperbolic inverse boundary value problem in bounded domains
Multi-behavioral Sequential Prediction for Collaborative Filtering
Asymptotic spectral properties and preconditioning of an approximated nonlocal Helmholtz equation with Caputo fractional Laplacian and variable coefficient wave number μ
On morphisms preserving palindromic richness
LQG Control Performance with Low Bitrate Periodic Coding
Unsupervised Machine Learning Hybrid Approach Integrating Linear Programming in Loss Function: A Robust Optimization Technique
On reversible cascades in scale-free and Erdős-Rényi random graphs
A Relative Study of Task Scheduling Algorithms in Cloud Computing Environment
AggNet: Learning to Aggregate Faces for Group Membership Verification
FECT: Classification of Breast Cancer Pathological Images Based on Fusion Features
Computing Nested Fixpoints in Quasipolynomial Time
Estimating the Level and Direction of Phonetic Dialect Change in the Northern Netherlands
Predictive Patentomics: Forecasting Innovation Success and Valuation with ChatGPT
REVISOR: Beyond Textual Reflection, Towards Multimodal Introspective Reasoning in Long-Form Video Understanding
Writing in The Air: Unconstrained Text Recognition from Finger Movement Using Spatio-Temporal Convolution
Fingerprint Theft Using Smart Padlocks: Droplock Exploits and Defenses
Perfect Sequences and Arrays over the Unit Quaternions
Happy or grumpy? A Machine Learning Approach to Analyze the Sentiment of Airline Passengers' Tweets
Uma técnica para a quantificação do esforço de merge
The Shortlist Method for Fast Computation of the Earth Mover's Distance and Finding Optimal Solutions to Transportation Problems
Deep ReLU Neural Network Approximation for Stochastic Differential Equations with Jumps
The Role of AI in Facilitating Interdisciplinary Collaboration: Evidence from AlphaFold
Hierarchical Deep Learning Classification of Unstructured Pathology Reports to Automate ICD-O Morphology Grading
When Lower-Order Terms Dominate: Adaptive Expert Algorithms for Heavy-Tailed Losses
A Rule-Based Logic for Quantum Information
Physics-Informed Deep B-Spline Networks for Dynamical Systems
Local Expression Languages for Probabilistic Dependence: a Preliminary Report
Automating Thought of Search: A Journey Towards Soundness and Completeness
Convolutional neural network for early detection of lameness and irregularity in horses using an IMU sensor
Measuring Social Biases of Crowd Workers using Counterfactual Queries
An automated method for the ontological representation of security directives
Combining Predictions under Uncertainty: The Case of Random Decision Trees
Cracking Double-Blind Review: Authorship Attribution with Deep Learning
Low-Rank Embedding of Kernels in Convolutional Neural Networks under Random Shuffling
Beamforming Design for the Distributed RISs-aided THz Communications with Double-Layer True Time Delays
ChatHome: Development and Evaluation of a Domain-Specific Language Model for Home Renovation
Spectral Masking with Explicit Time-Context Windowing for Neural Network-Based Monaural Speech Enhancement
Relational Weight Priors in Neural Networks for Abstract Pattern Learning and Language Modelling
Local Rademacher Complexity for Multi-label Learning
Triplet Permutation Method for Deep Learning of Single-Shot Person Re-Identification
Towards Theoretical Understanding of Large Batch Training in Stochastic Gradient Descent
On the Expected Dynamics of Nonlinear TD Learning
Digital Twins, Internet of Things and Mobile Medicine: a Review of Current Platforms to Support Smart Healthcare
An overview of block Gram-Schmidt methods and their stability properties
DRBench: A Realistic Benchmark for Enterprise Deep Research
LLM-Generated Samples for Android Malware Detection
The Keychain Problem: On Minimizing the Opportunity Cost of Uncertainty
Component Segmentation of Engineering Drawings Using Graph Convolutional Networks
Averting group failures in collective-risk social dilemmas
DeFusion: An Effective Decoupling Fusion Network for Multi-Modal Pregnancy Prediction
Robustness Evaluation of Two CCG, a PCFG and a Link Grammar Parsers
Quantization Bounds on Grassmann Manifolds of Arbitrary Dimensions and MIMO Communications with Feedback
Improving Session Recommendation with Recurrent Neural Networks by Exploiting Dwell Time
Towards Model Predictive Control for Acrobatic Quadrotor Flights
Revenue Analysis and Optimal Placement of Stationary and Transportable Energy Storage Systems in Energy and Frequency Regulation Markets
MA-DPR: Manifold-aware Distance Metrics for Dense Passage Retrieval
Tropical solution of discrete best approximation problems
Affective Conversational Agents: Understanding Expectations and Personal Influences
Reproducibility in Machine Learning-Driven Research
A note on spectral Monte-Carlo method for fractional Poisson equation on high-dimensional ball
TRIDEnT: Building Decentralized Incentives for Collaborative Security
Text-guided Synthetic Geometric Augmentation for Zero-shot 3D Understanding
Stance Prediction and Claim Verification: An Arabic Perspective
Managed TLS Under Migration: Authentication Authority Across CDN and Hosting Transitions
Spot the conversation: speaker diarisation in the wild
Decentralised self-organisation of pivoting cube ensembles using geometric deep learning
Crane: Context-Guided Prompt Learning and Attention Refinement for Zero-Shot Anomaly Detections
Relational Mimic for Visual Adversarial Imitation Learning
Noisy Sorting Without Resampling
ISimDL: Importance Sampling-Driven Acceleration of Fault Injection Simulations for Evaluating the Robustness of Deep Learning
Lessons learned from the early performance evaluation of Intel Optane DC Persistent Memory in DBMS
A note on quantum McEliece public-key cryptosystem
Automated discovery of interpretable gravitational-wave population models
Deep Mean Functions for Meta-Learning in Gaussian Processes
Generalizable Person Re-Identification via Viewpoint Alignment and Fusion
GTransPDM: A Graph-embedded Transformer with Positional Decoupling for Pedestrian Crossing Intention Prediction
Discovery of Layered Software Architecture from Source Code Using Ego Networks
Abstract Modular Systems and Solvers
OCR-RTPS: An OCR-based real-time positioning system for the valet parking
Cross-Domain Separable Translation Network for Multimodal Image Change Detection
Type-safe and portable support for packed data
Flow: Separating Consensus and Compute
Toward Optimal Psychological Functioning in AI-driven Software Engineering Tasks: The SEWELL-CARE Assessment Framework
CHESS: Contextual Harnessing for Efficient SQL Synthesis
Disentangled World Models: Learning to Transfer Semantic Knowledge from Distracting Videos for Reinforcement Learning
Transient growth of accelerated first-order methods for strongly convex optimization problems
Human in the Loop Novelty Generation
Revisiting Follow-the-Perturbed-Leader with Unbounded Perturbations in Bandit Problems
Near-Infrared Hyperspectral Imaging Applications in Food Analysis - Improving Algorithms and Methodologies
SBS: Enhancing Parameter-Efficiency of Neural Representations for Neural Networks via Spectral Bias Suppression
A Validation of the Proposed Component-Based Development Process
Empirical Evaluations of Preprocessing Parameters' Impact on Predictive Coding's Effectiveness
UISim: An Interactive Image-Based UI Simulator for Dynamic Mobile Environments
Exploring psychophysiological methods for human-robot collaboration in construction
SurveyG: A Multi-Agent LLM Framework with Hierarchical Citation Graph for Automated Survey Generation
A Reconfigurable Low Power High Throughput Streaming Architecture for Big Data Processing
Match and Locate: low-frequency monocular odometry based on deep feature matching
Leonardo vindicated: Pythagorean trees for minimal reconstruction of the natural branching structures
An investigation of belief-free DRL and MCTS for inspection and maintenance planning
Annotating Hate and Offenses on Social Media
BLINDSPOT: Enabling Bystander-Controlled Privacy Signaling for Camera-Enabled Devices
Blockchained Federated Learning for Threat Defense
Non-causal computation avoiding the grandfather and information antinomies
Better than best low-rank approximation with the singular value decomposition
An Accelerated Distributed Stochastic Gradient Method with Momentum
Hey GPT-OSS, Looks Like You Got It - Now Walk Me Through It! An Assessment of the Reasoning Language Models Chain of Thought Mechanism for Digital Forensics
DAWN: Dynamic Frame Avatar with Non-autoregressive Diffusion Framework for Talking Head Video Generation
Budgeted Reliability Maximization in Uncertain Graphs
Lightweight Fault Tolerance in Large-Scale Distributed Graph Processing
A structure-preserving Lagrangian discontinuous Galerkin method using flux and slope limiting
Unifying Physics- and Data-Driven Modeling via Novel Causal Spatiotemporal Graph Neural Network for Interpretable Epidemic Forecasting
A Logic of Expertise
Urn Modeling of Random Graphs Across Granularity Scales: A Framework for Origin-Destination Human Mobility Networks
A Bit-Parallel Russian Dolls Search for a Maximum Cardinality Clique in a Graph
Neural Networks and Chaos: Construction, Evaluation of Chaotic Networks, and Prediction of Chaos with Multilayer Feedforward Networks
Improved Bounds for 3SUM, K-SUM, and Linear Degeneracy
Multi-Objective Eco-Routing for Dynamic Control of Connected & Automated Vehicles
A New Method of Verification of Functional Programs
Stochastic Simulation Uncertainty Analysis to Accelerate Flexible Biomanufacturing Process Development
An Active-Sensing Approach to Channel Vector Subspace Estimation in mm-Wave Massive MIMO Systems
VLM as Strategist: Adaptive Generation of Safety-critical Testing Scenarios via Guided Diffusion
Beyond Pixels: A Comprehensive Survey from Bottom-up to Semantic Image Segmentation and Cosegmentation
Learning-based Ensemble Average Propagator Estimation
Neuroscience inspired scientific machine learning (Part-1): Variable spiking neuron for regression
Effective Littlestone Dimension
Distributed Transient Frequency Control for Power Networks with Stability and Performance Guarantees
Constraint energy minimizing generalized multiscale finite element method for inhomogeneous boundary value problems with high contrast coefficients
A Concurrent Unbounded Wait-Free Graph
Deep Learning for Time Series Classification of Parkinson's Disease Eye Tracking Data
Strategies for Searching Video Content with Text Queries or Video Examples
Virbo: Multimodal Multilingual Avatar Video Generation in Digital Marketing
Forecasting Industrial Aging Processes with Machine Learning Methods
Reinforcement Learning for Versatile, Dynamic, and Robust Bipedal Locomotion Control
On Heterogeneous Ising Machines
EditShield: Protecting Unauthorized Image Editing by Instruction-guided Diffusion Models
Model agnostic local variable importance for locally dependent relationships
Rotation center identification based on geometric relationships for rotary motion deblurring
Switched-Actuator Systems with Setup Times: Efficient Modeling, MPC, and Application to Hyperthermia Therapy
Auxo: Heterogeneity-Mitigating Federated Learning via Scalable Client Clustering
End-to-End Data Quality-Driven Framework for Machine Learning in Production Environment
Multi-Channel Graph Convolutional Networks
Identifying Semantically Difficult Samples to Improve Text Classification
ReconXF: Graph Reconstruction Attack via Public Feature Explanations on Privatized Node Features and Labels
Multimodal Physical Activity Forecasting in Free-Living Clinical Settings: Hunting Opportunities for Just-in-Time Interventions
Segmentation-aware Prior Assisted Joint Global Information Aggregated 3D Building Reconstruction
PopSGD: Decentralized Stochastic Gradient Descent in the Population Model
Counting list matrix partitions of graphs
DSeg: Direct Line Segments Detection
Refinement-based Specification and Security Analysis of Separation Kernels
Apple Leaf Disease Identification through Region-of-Interest-Aware Deep Convolutional Neural Network
A Comparative Study on Enhancing Prediction in Social Network Advertisement through Data Augmentation
Deploying and Evaluating Multiple Deep Learning Models on Edge Devices for Diabetic Retinopathy Detection
Inverse analysis of granular flows using differentiable graph neural network simulator
ECG Heartbeat classification using deep transfer learning with Convolutional Neural Network and STFT technique
Conflict and Convention in Dynamic Networks
Design of an assistive trunk exoskeleton based on multibody dynamic modelling
Waterfiling: Balancing the Tor network with maximum diversity
BIPPO: Budget-Aware Independent PPO for Energy-Efficient Federated Learning Services
Computing with Continuous Objects: A Uniform Co-inductive Approach
Hybrid high-order and weak Galerkin methods for the biharmonic problem
Load Balanced Dynamic Resource Allocation for MTC Relay
ORAssistant: A Custom RAG-based Conversational Assistant for OpenROAD
Differential Privacy Meets Neural Network Pruning
GuideLight: "Industrial Solution" Guidance for More Practical Traffic Signal Control Agents
Evaluating and Mitigating Linguistic Discrimination in Large Language Models
Towards Efficient Real-Time Video Motion Transfer via Generative Time Series Modeling
Artificial intelligence and the transformation of higher education institutions
An Objective Assessment of the Utility of a Driving Simulator for Low Mu Testing
UniMoCo: Unsupervised, Semi-Supervised and Full-Supervised Visual Representation Learning
Representing the Special Linear Group with Block Unitriangular Matrices
Augmenting deep neural networks with symbolic knowledge: Towards trustworthy and interpretable AI for education
Ginzburg-Landau energy and placement of singularities in generated cross fields
Autoencoding Time Series for Visualisation
AI Security Map: Holistic Organization of AI Security Technologies and Impacts on Stakeholders
GDM4MMIMO: Generative Diffusion Models for Massive MIMO Communications
Viko 2.0: A Hierarchical Gecko-inspired Adhesive Gripper with Visuotactile Sensor
problemConquero at SemEval-2020 Task 12: Transformer and Soft label-based approaches
BioLORD: Learning Ontological Representations from Definitions (for Biomedical Concepts and their Textual Descriptions)
The Otbot project: Dynamic modelling, parameter identification, and motion control of an omnidirectional tire-wheeled robot
A Methodology for Gradual Semantics for Structured Argumentation under Incomplete Information
Is ChatGPT Good at Search? Investigating Large Language Models as Re-Ranking Agent
Data-driven Seasonal Climate Predictions via Variational Inference and Transformers
Leveraging Large Language Models in Conversational Recommender Systems
Conformal Prediction Beyond the Seen: A Missing Mass Perspective for Uncertainty Quantification in Generative Models
Addressing Appearance Change in Outdoor Robotics with Adversarial Domain Adaptation
TD3Net: A Temporal Densely Connected Multi-Dilated Convolutional Network for Lipreading
Minimal Viable IO drivers for TrustZone
Why blockchain and smart contracts need semantic descriptions
Decoding Recommendation Behaviors of In-Context Learning LLMs Through Gradient Descent
Monet: A User-oriented Behavior-based Malware Variants Detection System for Android
Novelty Messages Filtering for Multi Agent Privacy-preserving Planning
A Two-stream Neural Network for Pose-based Hand Gesture Recognition
TempGNN: Temporal Graph Neural Networks for Dynamic Session-Based Recommendations
Exploration of an Interdisciplinary Scientific Landscape
Measuring the Reliability of Hate Speech Annotations: The Case of the European Refugee Crisis
A race to belief: How Evidence Accumulation shapes trust in AI and Human informants
List Conflict-free Coloring
OPERA: Reasoning about continuous common knowledge in asynchronous distributed systems
Efficient Hyperparameter Tuning with Dynamic Accuracy Derivative-Free Optimization
Teaching a Massive Open Online Course on Natural Language Processing
End to End Verification and Validation with SPIN
Survivable and Bandwidth-Guaranteed Embedding of Virtual Clusters in Cloud Data Centers (Extended Version)
Connectivity-Preserving Coordination Control of Multi-Agent Systems with Time-Varying Delays
"Hello, is this Anna?": A First Look at Pig-Butchering Scams
Privacy-Utility Trade-offs in Neural Networks for Medical Population Graphs: Insights from Differential Privacy and Graph Structure
Gatekeeper: Safety Critical Control of Nonlinear Systems with Limited Perception in Unknown and Dynamic Environments
Towards Label-Free Brain Tumor Segmentation: Unsupervised Learning with Multimodal MRI
Distributional Semantics and Linguistic Theory
Predictive Kinematic Coordinate Control for Aerial Manipulators based on Modified Kinematics Learning
Nearly self-similar blowup of generalized axisymmetric Navier-Stokes and Boussinesq equations
Mutual Information Matrix for Interpretable Fault Detection
Measuring Lexical Diversity in Texts: The Twofold Length Problem
AssistRAG: Boosting the Potential of Large Language Models with an Intelligent Information Assistant
Residual Kolmogorov-Arnold Network for Enhanced Deep Learning
Remote Multilinear Compressive Learning with Adaptive Compression
Neural Network based classification of bone metastasis by primary cacinoma
Distributed Processes and Scalability in Sub-networks of Large-Scale Networks
Complexity of Minimal Faithful Permutation Degree for Fitting-free Groups
Integration of Feature Selection Techniques using a Sleep Quality Dataset for Comparing Regression Algorithms
Forward Invariance in Trajectory Spaces for Safety-critical Control
Flexible Support for Fast Parallel Commutative Updates
Learning Compositional Negation in Populations of Roth-Erev and Neural Agents
Tractability of Quantified Temporal Constraints To The Max
Beyond Plain Toxic: Detection of Inappropriate Statements on Flammable Topics for the Russian Language
NADBenchmarks - a compilation of Benchmark Datasets for Machine Learning Tasks related to Natural Disasters
A Curious New Result of Resolution Strategies in Negation-Limited Inverters Problem
Format-Adapter: Improving Reasoning Capability of LLMs by Adapting Suitable Format
FusionINN: Invertible Image Fusion for Brain Tumor Monitoring
cito: An R package for training neural networks using torch
M2BeamLLM: Multimodal Sensing-empowered mmWave Beam Prediction with Large Language Models