yusuke1997/dblp-id-title huggingface dataset:
Predicate Logic as a Modeling Language: Modeling and Solving some Machine Learning and Data Mining Problems with IDP3
TITAN: Graph-Executable Reasoning for Cyber Threat Intelligence
Comparative Study of View Update Algorithms in Rational Choice Theory
A convergent post-processed discontinuous Galerkin method for incompressible flow with variable density
The Effect of Compression Techniques on Large Multimodal Language Models in the Medical Domain
AesopAgent: Agent-driven Evolutionary System on Story-to-Video Production
Chaotic Quantum Double Delta Swarm Algorithm using Chebyshev Maps: Theoretical Foundations, Performance Analyses and Convergence Issues
Temporal Fusion Transformers for Streamflow Prediction: Value of Combining Attention with Recurrence
Holding all the ASes: Identifying and Circumventing the Pitfalls of AS-aware Tor Client Design
Hybrid Systems, Iterative Learning Control, and Non-minimum Phase
Limits for Learning with Language Models
A General Account of Argumentation with Preferences
Rich dynamics caused by known biological brain network features resulting in stateful networks
Demystifying the Roles of LLM Layers in Retrieval, Knowledge, and Reasoning
A Comparative Analysis of Image Descriptors for Histopathological Classification of Gastric Cancer
LTE Standard-Compliant D2D Communication: Software-defined Radio Implementation and Evaluation
GPLA-12: An Acoustic Signal Dataset of Gas Pipeline Leakage
Path Space Partitioning and Guided Image Sampling for MCMC
Cooperative RIS and STAR-RIS assisted mMIMO Communication: Analysis and Optimization
Performance Analysis and Optimization of Bidirectional Overlay Cognitive Radio Networks with Hybrid-SWIPT
Device-to-Device Communications Enabled Multicast Scheduling with the Multi-Level Codebook in mmWave Small Cells
CT3D++: Improving 3D Object Detection with Keypoint-induced Channel-wise Transformer
A Geometric Presentation of Probabilistic Satisfiability
A Hybrid Deep Learning Model for Predictive Flood Warning and Situation Awareness using Channel Network Sensors Data
Tracing and Metrics Design Patterns for Monitoring Cloud-native Applications
The Use of Synthetic Data to Train AI Models: Opportunities and Risks for Sustainable Development
Intuitive physics understanding emerges from self-supervised pretraining on natural videos
FORWARD: Dataset of a forwarder operating in rough terrain
Adversarial Attacks and Defense on Texts: A Survey
Cyclic Codes and Sequences from Kasami-Welch Functions
Simulating Gaussian boson sampling on graphs in polynomial time
Anisotropic k-Nearest Neighbor Search Using Covariance Quadtree
Feature Engineering on LMS Data to Optimize Student Performance Prediction
Human-like Navigation in a World Built for Humans
InstaFace: Identity-Preserving Facial Editing with Single Image Inference
Physics-Informed Graph Convolutional Networks: Towards a generalized framework for complex geometries
Weakly Supervised Semantic Labelling and Instance Segmentation
Efficient and robust multi-task learning in the brain with modular task primitives
Achieving Secrecy Capacity of the Gaussian Wiretap Channel with Polar Lattices
Solving Monge problem by Hilbert space embeddings of probability measures
VulCPE: Context-Aware Cybersecurity Vulnerability Retrieval and Management
MATNet: Multi-Level Fusion and Self-Attention Transformer-Based Model for Multivariate Multi-Step Day-Ahead PV Generation Forecasting
Noise2Inverse: Self-supervised deep convolutional denoising for linear inverse problems in imaging
A genetic algorithm for structure-activity relationships: software implementation
γ-Models: Generative Temporal Difference Learning for Infinite-Horizon Prediction
Sampling discretization of the uniform norm and applications
Interactive Learning of Hierarchical Tasks from Dialog with GPT
FENDL: A library for fusion research and applications
Unfolding the Past: A Comprehensive Deep Learning Approach to Analyzing Incunabula Pages
Human Reactions to Incorrect Answers from Robots
Partially Linear Bayesian Estimation with Application to Sparse Approximations
Beyond the Neural Fog: Interpretable Learning for AC Optimal Power Flow
Scalable Machine Learning Analysis of Parker Solar Probe Solar Wind Data
DeepOPF: A Deep Neural Network Approach for Security-Constrained DC Optimal Power Flow
let (rec) insertion without Effects, Lights or Magic
Make-it-Real: Unleashing Large Multimodal Model's Ability for Painting 3D Objects with Realistic Materials
Equivalent Stability Notions, Lyapunov Inequality, and Its Application in Discrete-Time Linear Systems with Stochastic Dynamics Determined by an i.i.d. Process
Energy Correction Model in the Feature Space for Out-of-Distribution Detection
Investigating How Large Language Models Leverage Internal Knowledge to Perform Complex Reasoning
An Adaptable Maturity Strategy for Information Security
Quantum Autoencoders via Quantum Adders with Genetic Algorithms
The Least Restriction for Offline Reinforcement Learning
Entropy, majorization and thermodynamics in general probabilistic theories
Unisolvence of randomized MultiQuadric Kansa collocation for convection-diffusion with mixed boundary conditions
Privacy-Preserving Hybrid Ensemble Model for Network Anomaly Detection: Balancing Security and Data Protection
Addressing Architectural Obstacles for Overlay with Stream Network Abstraction
α-Indirect Control in Onion-like Networks
Domain-Aware Tensor Network Structure Search
Incremental Learning and Self-Attention Mechanisms Improve Neural System Identification
Towards Goal-Oriented Semantic Communications: New Metrics, Open Challenges, and Future Research Directions
A Billion Updates per Second Using 30, 000 Hierarchical In-Memory D4M Databases
Stochastic model-based minimization under high-order growth
Developing an Analytical Fixed Source Solver for the 1D Multigroup S N Equations
Stability-Constrained Markov Decision Processes Using MPC
Modular Arithmetic Expressions and Primality Testing via DNA Self-Assembly
An Infrared Communication System based on Handstand Pendulum
Pragyaan: Designing and Curating High-Quality Cultural Post-Training Datasets for Indian Languages
Solving the Team Orienteering Problem with Cutting Planes
Diffusion Beats Autoregressive: An Evaluation of Compositional Generation in Text-to-Image Models
Operator Inference Aware Quadratic Manifolds with Isotropic Reduced Coordinates for Nonintrusive Model Reduction
A computational study on imputation methods for missing environmental data
Responsible Active Learning via Human-in-the-loop Peer Study
The minimum linear arrangement problem on proper interval graphs
Neural ODEs as Feedback Policies for Nonlinear Optimal Control
Traj2User: exploiting embeddings for computing similarity of users mobile behavior
Resting-state EEG sex classification using selected brain connectivity representation
Nonlinear State Estimation for Inertial Navigation Systems With Intermittent Measurements
AID: Agent Intent from Diffusion for Multi-Agent Informative Path Planning
Equivalence of distance-based and RKHS-based statistics in hypothesis testing
Historical collaborative geocoding
Analysing Mood Patterns in the United Kingdom through Twitter Content
Q2Logic: An Coarse-Grained Architecture targeting Schrödinger Quantum Circuit Simulations
Fast Distributed Bandits for Online Recommendation Systems
Approximate Counting CSP Solutions Using Partition Function
Effective writing style imitation via combinatorial paraphrasing
Mathematical and numerical modeling of coupled oxygen dynamics and neuronal electrophysiology
Correcting Limited-Magnitude Errors in the Rank-Modulation Scheme
On Fibonacci Ensembles: An Alternative Approach to Ensemble Learning Inspired by the Timeless Architecture of the Golden Ratio
A Key Establishment Scheme for Mobile Wireless Sensor Networks Using Post-Deployment Knowledge
Towards a Tighter Bound on Possible-Rendezvous Areas: Preliminary Results
Optimized Deployment of Millimeter Wave Networks for In-venue Regions with Stochastic Users' Orientation
Identity-Preserving Video Dubbing Using Motion Warping
Multi-Mapcher: Loop Closure Detection-Free Heterogeneous LiDAR Multi-Session SLAM Leveraging Outlier-Robust Registration for Autonomous Vehicles
Distributed Optimization with Gradient Tracking over Heterogeneous Delay-Prone Directed Networks
Internal World Models as Imagination Networks in Cognitive Agents
Enhancing Adversarial Example Transferability with an Intermediate Level Attack
Attention when you need
Acquiring Pronunciation Knowledge from Transcribed Speech Audio via Multi-task Learning
Multilingual Visual Speech Recognition with a Single Model by Learning with Discrete Visual Speech Units
A Collaborative Approach to Computational Reproducibility
Distribution Estimation to Automate Transformation Policies for Self-Supervision
Position-Based Multiple-Play Bandits with Thompson Sampling
Neural Networks Regularization Through Class-wise Invariant Representation Learning
Numerical Computations For Real Number System By Logical Calculus
Analysis of Sequential Decoding Complexity Using the Berry-Esseen Inequality
A New Target-specific Object Proposal Generation Method for Visual Tracking
A hybridizable discontinuous Galerkin method with transmission variables for time-harmonic electromagnetic problems
On Higher-Order Probabilistic Subrecursion (Long Version)
GLACIA: Instance-Aware Positional Reasoning for Glacial Lake Segmentation via Multimodal Large Language Model
Sentence Segmentation for Classical Chinese Based on LSTM with Radical Embedding
Effect of cell residence time variance on the performance of an advanced paging algorithm
On-device Federated Learning in Smartphones for Detecting Depression from Reddit Posts
Resilient Secondary Voltage Control of Islanded Microgrids: An ESKBF-Based Distributed Fast Terminal Sliding Mode Control Approach
Jar Decoding: Non-Asymptotic Converse Coding Theorems, Taylor-Type Expansion, and Optimality
Variational Quantum Algorithms for Particle Track Reconstruction
Optimistic Adaptive Acceleration for Optimization
The complexity of bidirected reachability in valence systems
Improving Early Sepsis Onset Prediction Through Federated Learning
PAD: Self-Supervised Pre-Training with Patchwise-Scale Adapter for Infrared Images
Knowledge Distillation for Closed-Source Language Models
NAGphormer: Neighborhood Aggregation Graph Transformer for Node Classification in Large Graphs
Open Research Data in Spanish University Repositories
Are We Ready for Real-Time LiDAR Semantic Segmentation in Autonomous Driving?
Towards Efficient Tensor Decomposition-Based DNN Model Compression with Optimization Framework
Remote Photoplethysmography from Low Resolution videos: An end-to-end solution using Efficient ConvNets
Discrete Poincaré inequalities: a review on proofs, equivalent formulations, and behavior of constants
Revisiting Non-Specific Syndromic Surveillance
PROTEAN: Federated Intrusion Detection in Non-IID Environments through Prototype-Based Knowledge Sharing
Protein Design by Algorithm
Rotation Perturbation Robustness in Point Cloud Analysis: A Perspective of Manifold Distillation
Block Ciphers Substitution Box Generation Based on Natural Randomness in Underwater Acoustics and Knights Tour Chain
The Effect of Quantization in Federated Learning: A Rényi Differential Privacy Perspective
Calculating Cost Distributions of a Multiservice Loss System
Introduction to Quantum Message Space
Designing Laboratory Notebooks for Managing Software-based Scientific Studies
Phonetic Word Embeddings
A Supervised Learning Approach For Heading Detection
A Simple and Fast Way to Handle Semantic Errors in Transactions
Benchmarking and Parallelization of Electrostatic Particle-In-Cell for low-temperature Plasma Simulation by particle-thread Binding
Operator-Theoretic Framework for Gradient-Free Federated Learning
Efficient Decision Trees for Multi-class Support Vector Machines Using Entropy and Generalization Error Estimation
Recursive algorithm for the control of output remnant of Preisach hysteresis operator
Dirigo: Self-scaling Stateful Actors For Serverless Real-time Data Processing
A Short Survey on Set-Based Aggregation Techniques for Single-Vector WSI Representation in Digital Pathology
HySTER: A Hybrid Spatio-Temporal Event Reasoner
Fog Computing in IoT Aided Smart Grid Transition- Requirements, Prospects, Status Quos and Challenges
AsymML: An Asymmetric Decomposition Framework for Privacy-Preserving DNN Training and Inference
Quantifying the structure of controversial discussions with unsupervised methods: a look into the Twitter climate change conversation
Learning reusable concepts across different egocentric video understanding tasks
PIRM: Processing In Racetrack Memories
Learning Without Augmenting: Unsupervised Time Series Representation Learning via Frame Projections
The Capacity Region of Information Theoretic Secure Aggregation with Uncoded Groupwise Keys
Hybrid Precoder Design for Angle-of-Departure Estimation with Limited-Resolution Phase Shifters
Proceedings of the 18th International Workshop on Logical Frameworks and Meta-Languages: Theory and Practice, LFMTP@FSCD 2023, Rome, Italy, 2nd July 2023
On classes of bounded tree rank, their interpretations, and efficient sparsification
L-Platooning: A Protocol for Managing a Long Platoon with DSRC
Unveiling Language Skills under Circuits
TimeREISE: Time-series Randomized Evolving Input Sample Explanation
NeoRL-2: Near Real-World Benchmarks for Offline Reinforcement Learning with Extended Realistic Scenarios
Rhythmic sharing: A bio-inspired paradigm for zero-shot adaptation and learning in neural networks
AS3D: 2D-Assisted Cross-Modal Understanding with Semantic-Spatial Scene Graphs for 3D Visual Grounding
Boosting Operational DNN Testing Efficiency through Conditioning
Baybayin Character Instance Detection
Label-Aware Distribution Calibration for Long-tailed Classification
Can Robot Attract Passersby without Causing Discomfort by User-Centered Reinforcement Learning?
Playing Angry Birds with a Domain-Independent PDDL+ Planner
An Analysis of Unsupervised Pre-training in Light of Recent Advances
Critical Independent Sets of a Graph
Automatically Generating Test Cases for Safety-Critical Software via Symbolic Execution
Towards the Effect of Examples on In-Context Learning: A Theoretical Case Study
Semidefinite and Spectral Relaxations for Multi-Label Classification
Scaling Test-time Compute for LLM Agents
Engineering hierarchical complex systems: an agent-based approach. The case of flexible manufacturing systems
Extreme Views: 3DGS Filter for Novel View Synthesis from Out-of-Distribution Camera Poses
A Disease Diagnosis and Treatment Recommendation System Based on Big Data Mining and Cloud Computing
Rethinking the "Heatmap + Monte Carlo Tree Search" Paradigm for Solving Large Scale TSP
Deep Reinforcement Learning-Based Approach for a Single Vehicle Persistent Surveillance Problem with Fuel Constraints
Mitigating Gradient-based Adversarial Attacks via Denoising and Compression
An Adiabatic Capacitive Artificial Neuron with RRAM-based Threshold Detection for Energy-Efficient Neuromorphic Computing
Algorithms for Finding the Best Pure Nash Equilibrium in Edge-weighted Budgeted Maximum Coverage Games
MaskInversion: Localized Embeddings via Optimization of Explainability Maps
Improving Aleatoric Uncertainty Quantification in Multi-Annotated Medical ImageSegmentation with Normalizing Flows
Minimum Path Cover in Parameterized Linear Time
Closing the Performance and Management Gaps with Satellite Internet: Challenges, Approaches, and Future Directions
Automatically Generating Commit Messages from Diffs using Neural Machine Translation
Agentic AI: Autonomy, Accountability, and the Algorithmic Society
Social Influence Dialogue Systems: A Scoping Survey of the Efforts Towards Influence Capabilities of Dialogue Systems
Representational Tenets for Memory Athletics
Using Machine Learning to Calibrate Storm-Scale Probabilistic Guidance of Severe Weather Hazards in the Warn-on-Forecast System
FEAFA+: An Extended Well-Annotated Dataset for Facial Expression Analysis and 3D Facial Animation
Fast Parallel SAME Gibbs Sampling on General Discrete Bayesian Networks
Check-N-Run: A Checkpointing System for Training Recommendation Models
A Distributed MAC Protocol for Cooperation in Random Access Networks
Accelerated Alternating Minimization
RUMOR: Reinforcement learning for Understanding a Model of the Real World for Navigation in Dynamic Environments
Comprehending finger flexor tendon pulley system using a computational analysis
RAMPA: Robotic Augmented Reality for Machine Programming and Automation
Temporal receptive field in dynamic graph learning: A comprehensive analysis
Light Weight Residual Dense Attention Net for Spectral Reconstruction from RGB Images
Gaming the System: Video Games as a Theoretical Framework for Instructional Design
Runtime Analysis of Quantum Programs: A Formal Approach
On the control of the load increments for a proper description of multiple delamination in a domain decomposition framework
Event-Triggered GAT-LSTM Framework for Attack Detection in Heating, Ventilation, and Air Conditioning Systems
A Work Zone Simulation Model for Travel Time Prediction in a Connected Vehicle Environment
A Study of Large Language Models for Patient Information Extraction: Model Architecture, Fine-Tuning Strategy, and Multi-task Instruction Tuning
A Generic Deep Learning Based Cough Analysis System from Clinically Validated Samples for Point-of-Need Covid-19 Test and Severity Levels
A Risk Assessment of a Pretrial Risk Assessment Tool: Tussles, Mitigation Strategies, and Inherent Limits
Faster and Simpler Siamese Network for Single Object Tracking
Variationally Correct Neural Residual Regression for Parametric PDEs: On the Viability of Controlled Accuracy
Unconscious and Intentional Human Motion Cues for Expressive Robot-Arm Motion Design
Real-time distortion prediction in metallic additive manufacturing via a physics-informed neural operator approach
Technical Report: Asymmetric Mutual Exclusion for RDMA
Interior Point Decoding for Linear Vector Channels
Conformal Prediction is Robust to Label Noise
Routes for breaching and protecting genetic privacy
Can LLMs Detect Ambiguous Plural Reference? An Analysis of Split-Antecedent and Mereological Reference
Neural Combinatorial Deep Reinforcement Learning for Age-optimal Joint Trajectory and Scheduling Design in UAV-assisted Networks
A Stackelberg Game based on the Secretary Problem: Optimal Response is History Dependent
Radio Resource Management and Path Planning in Intelligent Transportation Systems via Reinforcement Learning for Environmental Sustainability
Learning to generalize Dispatching rules on the Job Shop Scheduling
Pruning Ternary Quantization
A Kernel Method for Positive 1-in-3-SAT
Mining Mental Health Signals: A Comparative Study of Four Machine Learning Methods for Depression Detection from Social Media Posts in Sorani Kurdish
Generative Context Distillation
Do Segmentation Models Understand Vascular Structure? A Blob-Based XAI Framework
On Philomatics and Psychomatics for Combining Philosophy and Psychology with Mathematics
Predicting Dynamic Stability from Static Features in Power Grid Models using Machine Learning
Unsupervised learning for concept detection in medical images: a comparative analysis
Wavelet-Induced Rotary Encodings: RoPE Meets Graphs
Borhan: A Novel System for Prioritized Default Logic
Contextual Biasing of Language Models for Speech Recognition in Goal-Oriented Conversational Agents
Block-wise Bit-Compression of Transformer-based Models
Subjective Functionality and Comfort Prediction for Apartment Floor Plans and Its Application to Intuitive Searches
Chart Auto-Encoders for Manifold Structured Data
Gender in Twitter: Styles, stances, and social networks
Graph Auto-Encoders for Network Completion
Statistical Analysis of ReRAM-PUF based Keyless Encryption Protocol Against Frequency Analysis Attack
An Ontology for Unified Modeling of Tasks, Actions, Environments, and Capabilities in Personal Service Robotics
A Novel Chaotic System for Text Encryption Optimized with Genetic Algorithm
One-dimensional flows of a polytropic gas: Lie group classification, conservation laws, invariant and conservative difference schemes
Classification As Decoder: Trading Flexibility For Control In Neural Dialogue
Perception of emergent epidemic of COVID-2019 / SARS CoV-2 on the Polish Internet
Unsupervised Adaptive Implicit Neural Representation Learning for Scan-Specific MRI Reconstruction
GMG: A Video Prediction Method Based on Global Focus and Motion Guided
Natural Alpha Embeddings
HISTEX (HISTory EXerciser) : A tool for testing the implementation of Isolation Levels of Relational Database Management Systems
Population Expansion for Training Language Models with Private Federated Learning
ML Researchers Support Openness in Peer Review But Are Concerned About Resubmission Bias
ChestGPT: Integrating Large Language Models and Vision Transformers for Disease Detection and Localization in Chest X-Rays
The Hyper-Cortex of Human Collective-Intelligence Systems
Fast Estimations of Hitting Time of Elitist Evolutionary Algorithms from Fitness Levels
Recurrent Neural Networks for video object detection
DooML: A new Database & Object-Oriented Modeling Language for database-driven web application design and development
Fast Algorithm and Implementation of Dissimilarity Self-Organizing Maps
Data Requirement Goal Modeling for Machine Learning Systems
S-LAM3D: Segmentation-Guided Monocular 3D Object Detection via Feature Space Fusion
Tearing Down the Memory Wall
Training Flow Matching Models with Reliable Labels via Self-Purification
FedPIT: Towards Privacy-preserving and Few-shot Federated Instruction Tuning
A Conditional GAN for Tabular Data Generation with Probabilistic Sampling of Latent Subspaces
Association between built environment characteristics and school run traffic congestion in Beijing, China
Continuous normalizing flows on manifolds
Designing an LLM-Based Copilot for Manufacturing Equipment Selection
VERIFY: A Benchmark of Visual Explanation and Reasoning for Investigating Multimodal Reasoning Fidelity
CEnt: An Entropy-based Model-agnostic Explainability Framework to Contrast Classifiers' Decisions
PROF: An LLM-based Reward Code Preference Optimization Framework for Offline Imitation Learning
Position: Thematic Analysis of Unstructured Clinical Transcripts with Large Language Models
Know Your Master: Driver Profiling-based Anti-theft Method
Improving Distantly-Supervised Relation Extraction through BERT-based Label & Instance Embeddings
Using Zone Inflation and Volume Transfer to Design a Fabric-based Pneumatic Exosuit with both Efficiency and Wearability
Action Assembly: Sparse Imitation Learning for Text Based Games with Combinatorial Action Spaces
Face Spoofing Detection by Fusing Binocular Depth and Spatial Pyramid Coding Micro-Texture Features
Event Detection: Gate Diversity and Syntactic Importance Scoresfor Graph Convolution Neural Networks
Benchmarking and Defending Against Indirect Prompt Injection Attacks on Large Language Models
Spectral Gaps with Quantum Counting Queries and Oblivious State Preparation
Imperceptible Adversarial Examples for Fake Image Detection
The Snow Team Problem (Clearing Directed Subgraphs by Mobile Agents)
Network Volume Anomaly Detection and Identification in Large-scale Networks based on Online Time-structured Traffic Tensor Tracking
Delay Analysis and Optimization in Cache-enabled Multi-Cell Cooperative Networks
You Only Crash Once v2: Perceptually Consistent Strong Features for One-Stage Domain Adaptive Detection of Space Terrain
Model-adapted Fourier sampling for generative compressed sensing
Analysis of Bluffing by DQN and CFR in Leduc Hold'em Poker
Embodying mechano-fluidic memory in soft machines to program behaviors upon interactions
Learning Frames from Text with an Unsupervised Latent Variable Model
RandNet: deep learning with compressed measurements of images
PU-EdgeFormer: Edge Transformer for Dense Prediction in Point Cloud Upsampling
Certificate-based Single Sign-On Mechanism for Multi-Platform Distributed Systems
On Cusick-Cheon's Conjecture About Balanced Boolean Functions in the Cosets of the Binary Reed-Muller Code