yusuke1997/dblp-id-title huggingface dataset:
Towards ML Engineering: A Brief History Of TensorFlow Extended (TFX)
Metrics based Workload Analysis Technique for IaaS Cloud
Compound Returns Reduce Variance in Reinforcement Learning
Certified Robust Accuracy of Neural Networks Are Bounded due to Bayes Errors
The Discontinuous Strain Method: accurately representing fatigue and failure
Multilingual Knowledge Graph Completion with Joint Relation and Entity Alignment
Sound, Complete and Minimal UCQ-Rewriting for Existential Rules
Molecular Model Checking a Temporal Logic
An ODE for an Overloaded X Model Involving a Stochastic Averaging Principle
Symphony: A Decentralized Multi-Agent Framework for Scalable Collective Intelligence
Multimodal Emotion Recognition using Audio-Video Transformer Fusion with Cross Attention
Privacy-preserving server-supported decryption
TNF: Tri-branch Neural Fusion for Multimodal Medical Data Classification
Margin-aware Fuzzy Rough Feature Selection: Bridging Uncertainty Characterization and Pattern Classification
Learning Geometry: A Framework for Building Adaptive Manifold Models through Metric Optimization
Digital History and History Teaching in the Digital Age
Non-Verbal Communication Analysis in Victim-Offender Mediations
Task parallel implementation of a solver for electromagnetic scattering problems
Understanding active learning of molecular docking and its applications
HumanGenesis: Agent-Based Geometric and Generative Modeling for Synthetic Human Dynamics
CLARity: Reasoning Consistency Alone Can Teach Reinforced Experts
An Adaptive Online Ad Auction Scoring Algorithm for Revenue Maximization
Privacy-Preserving Discretized Spiking Neural Networks
Preferential subspace identification (PSID) with forward-backward smoothing
Asynchronous Distributed Hypothesis Testing in the Presence of Crash Failures
ExWarp: Extrapolation and Warping-based Temporal Supersampling for High-frequency Displays
Jump Your Steps : Optimizing Sampling Schedule of Discrete Diffusion Models
Irregular Stanley sequences plausibly do not have growth Θ(n 2 /log n)
OTEANN: Estimating the Transparency of Orthographies with an Artificial Neural Network
Tight Inversion: Image-Conditioned Inversion for Real Image Editing
Decomposing Vision-based LLM Predictions for Auto-Evaluation with GPT-4
Design of Full-Duplex Millimeter-Wave Integrated Access and Backhaul Networks
Classification Performance Metric for Imbalance Data Based on Recall and Selectivity Normalized in Class Labels
Digital and Robotic Twinning for Validation of Proximity Operations and Formation Flying
On a small-gain approach to distributed event-triggered control
An Optimal Choice Dictionary
Heterogeneous Low-Rank Approximation for Federated Fine-tuning of On-Device Foundation Models
AI Enabled Neutron Flux Measurement and Virtual Calibration in Boiling Water Reactors
Federated Learning and Blockchain-enabled Fog-IoT Platform for Wearables in Predictive Healthcare
Tahr: The Generative Attribute Grammar Framework
SeCTIS: A Framework to Secure CTI Sharing
Unsupervised Conformal Inference: Bootstrapping and Alignment to Control LLM Uncertainty
SEAL: Self-Evolving Agentic Learning for Conversational Question Answering over Knowledge Graphs
Eliminating Timing Anomalies in Scheduling Periodic Segmented Self-Suspending Tasks with Release Jitter
Viable Algorithmic Options for Creating and Adapting Emergent Software Systems
A Proximal Gradient Algorithm for Decentralized Composite Optimization over Directed Networks
Distributed Fixed Point Method for Solving Systems of Linear Algebraic Equations
Post-Train Adaptive U-Net for Image Segmentation
Quantum Noise Tomography with Physics-Informed Neural Networks
Neural-Network Techniques for Visual Mining Clinical Electroencephalograms
DreamView: Injecting View-specific Text Guidance into Text-to-3D Generation
Thermal vulnerability detection in integrated electronic and photonic circuits using IR thermography
Implementing and Experimenting with Diffusion Models for Text-to-Image Generation
Robust error estimates of PINN in one-dimensional boundary value problems for linear elliptic equations
Knowledge Distillation in Federated Learning: a Survey on Long Lasting Challenges and New Solutions
OrbID: Identifying Orbcomm Satellite RF Fingerprints
Proceedings of Symposium on Data Mining Applications 2014
Navigating Interfaces with AI for Enhanced User Interaction
Combining Reinforcement Learning and Behavior Trees for NPCs in Video Games with AMD Schola
State-Dependent Refusal and Learned Incapacity in RLHF-Aligned Language Models
Building and Searching a Balanced, Distributed k-d Tree with MapReduce
High-dimensional Functional Graphical Model Structure Learning via Neighborhood Selection Approach
What do you say? A pilot study investigating student responses in Data Driven Classroom Interviews
Semi-Supervised Learning Enabled by Multiscale Deep Neural Network Inversion
A Directional Feature with Energy based Offline Signature Verification Network
Balancing Domain Experts for Long-Tailed Camera-Trap Recognition
Inverse Cooperative and Non-Cooperative Dynamic Games Based on Maximum Entropy Inverse Reinforcement Learning
Astrophysics Source Code Library Enhancements
Scalable Optimal Deployment in the Cloud of Component-based Applications using Optimization Modulo Theory, Mathematical Programming and Symmetry Breaking
Maximizing a Nonnegative, Monotone, Submodular Function Constrained to Matchings
RoPDA: Robust Prompt-based Data Augmentation for Low-Resource Named Entity Recognition
Comparison of some commonly used algorithms for sparse signal reconstruction
Fear over Friends: Examining the Perceived Influence of Others on Vaccination Decisions
Convergence of Flow-Policy Gradient Learning for Linear Quadratic Regulator Problems
Thinking, Learning, and Autonomous Problem Solving
DeepRule: An Integrated Framework for Automated Business Rule Generation via Deep Predictive Modeling and Hybrid Search Optimization
Uniform error bounds of time-splitting methods for the nonlinear Dirac equation in the nonrelativistic limit regime
Connectivity-driven Communication in Multi-agent Reinforcement Learning through Diffusion Processes on Graphs
Playing for Depth
Cognitive Medium Access: Exploration, Exploitation and Competition
Adding links wisely: how an influencer seeks for leadership in opinion dynamics?
A Principled, Flexible and Efficient Framework for Hypergraph Benchmarking
DeepPERF: A Deep Learning-Based Approach For Improving Software Performance
Fast Authenticated and Interoperable Multimedia Healthcare Data over Hybrid-Storage Blockchains
Comparative Evaluation of Memory Technologies for Synaptic Crossbar Arrays- Part 2: Design Knobs and DNN Accuracy Trends
Robust SG-NeRF: Robust Scene Graph Aided Neural Surface Reconstruction
Local Tomography of Large Networks under the Low-Observability Regime
Towards Multi-agent Reinforcement Learning based Traffic Signal Control through Spatio-temporal Hypergraphs
Design and Evaluation of Scalable Representations of Communication in Gantt Charts for Large-scale Execution Traces
Multi-Step Knowledge-Aided Iterative ESPRIT for Direction Finding
Mitigating the Performance Impact of Network Failures in Public Clouds
Pareto-optimal Tradeoffs Between Communication and Computation with Flexible Gradient Tracking
Denoising of image gradients and total generalized variation denoising
A novel approach towards the classification of Bone Fracture from Musculoskeletal Radiography images using Attention Based Transfer Learning
Integrated sidelobe cancellation and linear prediction Kalman filter for joint multi-microphone speech dereverberation, interfering speech cancellation, and noise reduction
Mixed Precision GMRES-based Iterative Refinement with Recycling
A novel staggered semi-implicit space-time discontinuous Galerkin method for the incompressible Navier-Stokes equations
Adaptive Reallocation of RAN Functions for Resilient 6G Networks
Joint Optimization of Multimodal Transit Frequency and Shared Autonomous Vehicle Fleet Size with Hybrid Metaheuristic and Nonlinear Programming
Feedback Strategies for Hypersonic Pursuit of a Ground Evader
Numerical validation of Koiter's model for all the main types of linearly elastic shells in the static case
From Predictions to Data-Driven Decisions Using Machine Learning
A ZX-Calculus with Triangles for Toffoli-Hadamard, Clifford+T, and Beyond
RenewNAT: Renewing Potential Translation for Non-Autoregressive Transformer
Upper bound of high-order derivatives for Wachspress coordinates on polytopes
Stochastic, Distributed and Federated Optimization for Machine Learning
Molecular geometry prediction using a deep generative graph neural network
MATCH: Multi-faceted Adaptive Topo-Consistency for Semi-Supervised Histopathology Segmentation
ACSS-q: Algorithmic complexity for short strings via quantum accelerated approach
Enhancing Link Prediction with Fuzzy Graph Attention Networks and Dynamic Negative Sampling
Tailoring Generative AI Chatbots for Multiethnic Communities in Disaster Preparedness Communication: Extending the CASA Paradigm
Numerical null controllability of parabolic PDEs using Lagrangian methods
ByDeWay: Boost Your multimodal LLM with DEpth prompting in a Training-Free Way
Towards Generalizable Multi-Camera 3D Object Detection via Perspective Debiasing
Adversarial Reconnaissance Mitigation and Modeling
Color: A Crucial Factor for Aesthetic Quality Assessment in a Subjective Dataset of Paintings
Inferring Thunderstorm Occurrence from Vertical Profiles of Convection-Permitting Simulations: Physical Insights from a Physical Deep Learning Model
Evaluation of Joint Multi-Instance Multi-Label Learning For Breast Cancer Diagnosis
AgentOrca: A Dual-System Framework to Evaluate Language Agents on Operational Routine and Constraint Adherence
Time-inversion of spatiotemporal beam dynamics using uncertainty-aware latent evolution reversal
Revisiting the Performance of Serverless Computing: An Analysis of Variance
Resolving CAP Through Automata-Theoretic Economic Design: A Unified Mathematical Framework for Real-Time Partition-Tolerant Systems
Tapping into the Black Box: Uncovering Aligned Representations in Pretrained Neural Networks
Structure-Constrained Basis Pursuit for Compressed Sensing
Large Language Models Based Fuzzing Techniques: A Survey
A 40.68-MHz, 200-ns-Settling Active Rectifier and TX-Side Load Monitoring for Minimizing Radiated Power in Biomedical Implants
Pixel-variant Local Homography for Fisheye Stereo Rectification Minimizing Resampling Distortion
Helping People Deal With Disinformation - A Socio-Technical Perspective
Influence of Transmission Rank on EMF Exposure Measured With Provoked Data Traffic Around 5G Massive MIMO Base Stations
Exploring the Head Effect in Live Streaming Platforms: A Two-Sided Market and Welfare Analysis
A systematic literature review of cloud computing in eHealth
RCAMP: A Resilient Communication-Aware Motion Planner for Mobile Robots with Autonomous Repair of Wireless Connectivity
On the Regret of H ∞ control
Co-Generation and Segmentation for Generalized Surgical Instrument Segmentation on Unlabelled Data
Augmented Cyclic Adversarial Learning for Domain Adaptation
Weak-strong uniqueness for the Landau-Lifshitz-Gilbert equation in micromagnetics
Few-Shot Table-to-Text Generation with Prompt-based Adapter
Stochastic Modeling of Tag Installation Error for Robust On-Manifold Tag-Based Visual-Inertial Localization
A Convex-Inspired Neural Construction for Structured and Generalizable Nonlinear Model Reduction
EvolveSearch: An Iterative Self-Evolving Search Agent
The failure risk analysis of digital circuits
Constrained Low-rank Matrix Estimation: Phase Transitions, Approximate Message Passing and Applications
Unveiling Transformer Perception by Exploring Input Manifolds
How Social is It? A Benchmark for LLMs' Capabilities in Multi-user Multi-turn Social Agent Tasks
Identification of refugee influx patterns in Greece via model-theoretic analysis of daily arrivals
The Persistent Buffer Tree : An I/O-efficient Index for Temporal Data
GeoCMS : Towards a Geo-Tagged Media Management System
Embedded Spreadsheet Modelling
Embedding Alignment in Code Generation for Audio
Intuitive Programming, Adaptive Task Planning, and Dynamic Role Allocation in Human-Robot Collaboration
CataractSurg-80K: Knowledge-Driven Benchmarking for Structured Reasoning in Ophthalmic Surgery Planning
Inferring networks from time series: a neural approach
Diffusion LLMs are Natural Adversaries for any LLM
Online Learning of Assignments that Maximize Submodular Functions
Low-cost Thermal Mapping for Concrete Heat Monitoring
L*-Based Learning of Markov Decision Processes (Extended Version)
Fast Single Image Rain Removal via a Deep Decomposition-Composition Network
Optimizing Online Advertising with Multi-Armed Bandits: Mitigating the Cold Start Problem under Auction Dynamics
A Study on Cognitive Effects of Canvas Size for Augmenting Drawing Skill
Enhancing Synthetic CT from CBCT via Multimodal Fusion: A Study on the Impact of CBCT Quality and Alignment
Data-Driven Learning of Geometric Scattering Networks
Benchmarking Neural Radiance Fields for Autonomous Robots: An Overview
LpBound: Pessimistic Cardinality Estimation using ℓ p -Norms of Degree Sequences
Amazing Things Come From Having Many Good Models
Beyond The Desktop Spreadsheet
Task-Oriented Edge-Assisted Cross-System Design for Real-Time Human-Robot Interaction in Industrial Metaverse
OCR Post-Processing Error Correction Algorithm using Google Online Spelling Suggestion
Performance of Energy Harvesting Receivers with Power Optimization
Equivariant Observer for Bearing Estimation with Linear and Angular Velocity Inputs
On a hybrid continuum-kinetic model for complex fluids
On Statistical Modeling of Load in Systems with High Capacity Distributed Energy Resources
Recursive Neural Programs: Variational Learning of Image Grammars and Part-Whole Hierarchies
InfiniPot-V: Memory-Constrained KV Cache Compression for Streaming Video Understanding
BlinDNO: A Distributional Neural Operator for Dynamical System Reconstruction from Time-Label-Free data
An Efficient Index Method for the Optimal Route Query over Multi-Cost Networks
Lesion detection and Grading of Diabetic Retinopathy via Two-stages Deep Convolutional Neural Networks
On sample-based functional observability of linear systems
Searching for Difficult-to-Translate Test Examples at Scale
Detecting Performance-Relevant Changes in Configurable Software Systems
Investigating the limited performance of a deep-learning-based SPECT denoising approach: An observer-study-based characterization
Packaging Up Media Mix Modeling: An Introduction to Robyn's Open-Source Approach
Drone Path-Following in GPS-Denied Environments using Convolutional Networks
Characterizing Jupiter's interior using machine learning reveals four key structures
Stochastic Agent-Based Simulations of Social Networks
Adaptive Honeypot Engagement through Reinforcement Learning of Semi-Markov Decision Processes
Deep Reinforcement Learning for Unknown Anomaly Detection
The Context Model: A Graph Database Model
IOMMU Support for Virtual-Address Remote DMA in an ARMv8 environment
Informing AI Risk Assessment with News Media: Analyzing National and Political Variation in the Coverage of AI Risks
MotionCLR: Motion Generation and Training-free Editing via Understanding Attention Mechanisms
Determinants from homomorphisms
Sensor network design for post-combustion CO2 capture plants: economy, complexity and robustness
IT 3 : Idempotent Test-Time Training
Frequency-limited H 2 Model Order Reduction Based on Relative Error
Computable Phenotypes to Characterize Changing Patient Brain Dysfunction in the Intensive Care Unit
Coded Computing for Federated Learning at the Edge
Mining the Explainability and Generalization: Fact Verification Based on Self-Instruction
Switching Variational Auto-Encoders for Noise-Agnostic Audio-visual Speech Enhancement
ROCKET: Exceptionally fast and accurate time series classification using random convolutional kernels
On the convexity number for complementary prisms
Skull stripping with purely synthetic data
FlashMD: long-stride, universal prediction of molecular dynamics
E-Business and SMEs: Preliminary Evidence from Selected Italian Districts
In-Storage Embedded Accelerator for Sparse Pattern Processing
The Effect of Age Introduced to Virtual Reality on Susceptibility to Motion Sickness
Simple Grid Polygon Online Exploration Revisited
s-Vector Control of Battery Energy Storage System: Definition and Application
Iterative versus Exhaustive Data Selection for Cross Project Defect Prediction: An Extended Replication Study
An N-Body Solution to the Problem of Fock Exchange
Error analysis of BDF 1-6 time-stepping methods for the transient Stokes problem: velocity and pressure estimates
Dimension Groups and Dynamical Systems
Steering the CensorShip: Uncovering Representation Vectors for LLM "Thought" Control
UProp: Investigating the Uncertainty Propagation of LLMs in Multi-Step Agentic Decision-Making
A Rationale-Based Classification of MISRA C Guidelines
A Dual-mode Local Search Algorithm for Solving the Minimum Dominating Set Problem
Poisson Midpoint Method for Log Concave Sampling: Beyond the Strong Error Lower Bounds
Analysis of Harpy's Constrained Trotting and Jumping Maneuver
Deep Learning: A Tutorial
AITom: Open-source AI platform for cryo-electron Tomography data analysis
Isogeometric Hierarchical Model Reduction for advection-diffusion process simulation in microchannels
Sensing Performance of Multi-Channel RFID-based Finger Augmentation Devices for Tactile Internet
Generalizable LLM Learning of Graph Synthetic Data with Reinforcement Learning
UAV Obstacle Avoidance by Human-in-the-Loop Reinforcement in Arbitrary 3D Environment
Beyond Wave Variables: A Data-Driven Ensemble Approach for Enhanced Teleoperation Transparency and Stability
From data to concepts via wiring diagrams
Enabling Robust State Estimation through Measurement Error Covariance Adaptation
Automatic Parameter Derivations in k2U Framework
Doping: A technique for efficient compression of LSTM models using sparse structured additive matrices
A Relaying Incentive Scheme in Multihop Cellular Networks Based on Coalitional Game with Externalities
Agent Context Protocols Enhance Collective Inference
A Classification of G-invariant Shallow Neural Networks
From Hand-Perspective Visual Information to Grasp Type Probabilities: Deep Learning via Ranking Labels
Co-embedding of Nodes and Edges with Graph Neural Networks
Data Transformation to Construct a Dataset for Generating Entity-Relationship Model from Natural Language
Computability of 1-manifolds
The Average Dimension of the Hermitian Hull of Constayclic Codes over Finite Fields
FDAN: Flow-guided Deformable Alignment Network for Video Super-Resolution
Entering Real Social World! Benchmarking the Theory of Mind and Socialization Capabilities of LLMs from a First-person Perspective
The Effect of Dust and Sand on the 5G Terrestrial Links
Explaining deep neural network models for electricity price forecasting with XAI
Bibliometric analysis of the world scientific production in Chemical Engineering during 2000-2011. Part 3: Analysis of research trends and hot topics
Analysis of Greenhouse Gases
Arbitrageurs' profits, LVR, and sandwich attacks: batch trading as an AMM design response
Benign-Overfitting in Conditional Average Treatment Effect Prediction with Linear Regression
A Note on "Efficient Task-Specific Data Valuation for Nearest Neighbor Algorithms"
Mapping Housing Stock Characteristics from Drone Images for Climate Resilience in the Caribbean
Revisiting Majumdar-Ghosh spin chain model and Max-cut problem using variational quantum algorithms
Sharing the Licensed Spectrum of Full-Duplex Systems using Improper Gaussian Signaling
Finding and Following of Honeycombing Regions in Computed Tomography Lung Images by Deep Learning
Introducing the Perturbative Solution of the Inter-Channel Stimulated Raman Scattering in Single-Mode Optical Fibers
Scalable symmetric Tucker tensor decomposition
Better Sign Language Translation with Monolingual Data
Enhancing Traffic Prediction with Textual Data Using Large Language Models
Goodwin's oscillators with an additional negative feedback for modeling hormonal regulation systems
Toward Stable and Consistent Evaluation Results: A New Methodology for Base Model Evaluation
A machine-learning approach to thunderstorm forecasting through post-processing of simulation data
C 2 INet: Realizing Incremental Trajectory Prediction with Prior-Aware Continual Causal Intervention
Better Quasi-Ordered Transition Systems
Concave Penalized Estimation of Sparse Bayesian Networks
Tree-Based Scenario Classification: A Formal Framework for Coverage Analysis on Test Drives of Autonomous Vehicles
Homology and closure properties of autostackable groups
Temporal Computer Organization
Building Height Prediction with Instance Segmentation
A Decentralized Approach to Bayesian Learning
FaceEditTalker: Interactive Talking Head Generation with Facial Attribute Editing
Low-Complexity Cooperative Payload Transportation for Nonholonomic Mobile Robots Under Scalable Constraints
Cross-Cohort Generalizability of Deep and Conventional Machine Learning for MRI-based Diagnosis and Prediction of Alzheimer's Disease
A Reinforcement Learning based Reset Policy for CDCL SAT Solvers
Agentic Property-Based Testing: Finding Bugs Across the Python Ecosystem
MiniKV: Pushing the Limits of LLM Inference via 2-Bit Layer-Discriminative KV Cache
Provably Efficient Action-Manipulation Attack Against Continuous Reinforcement Learning
Deep Network for Scatterer Distribution Estimation for Ultrasound Image Simulation
Super-resolving sparse observations in partial differential equations: A physics-constrained convolutional neural network approach
A Note on a Characterization of Rényi Measures and its Relation to Composite Hypothesis Testing
To Populate is To Regulate
Gaussian-LIC2: LiDAR-Inertial-Camera Gaussian Splatting SLAM
AWiMA: An architecture for Adhoc Wireless Mobile internet Access
Switchboard: An Open-Source Framework for Modular Simulation of Large Hardware Systems
DSTED: Decoupling Temporal Stabilization and Discriminative Enhancement for Surgical Workflow Recognition
Neat: Low-Complexity, Efficient On-Chip Cache Coherence
Graph Neural Networks for Job Shop Scheduling Problems: A Survey
Auditing AI models for Verified Deployment under Semantic Specifications
Statistical applications of contrastive learning
An Adaptable IoT Rule Engine Framework for Dataflow Monitoring and Control Strategies
A Novel Term Weighing Scheme Towards Efficient Crawl of Textual Databases
Patient Specific Biomechanics Are Clinically Significant In Accurate Computer Aided Surgical Image Guidance
Fast and Optimal Incremental Parametric Procedure for the Densest Subgraph Problem: An Experimental Study
Decoding binary node labels from censored edge measurements: Phase transition and efficient recovery
Opinion Dynamics with Stubborn Agents
Improving the Reasoning of Multi-Image Grounding in MLLMs via Reinforcement Learning
Haptics in computer music : a paradigm shift
Spectrum Attention Mechanism for Time Series Classification
Detecting AutoAttack Perturbations in the Frequency Domain
Wearable Healthcare Devices for Monitoring Stress and Attention Level in Workplace Environments
Autonomous Reinforcement of Behavioral Sequences in Neural Dynamics
On the exponent of cyclic codes
Efficient Deep Gaussian Process Models for Variable-Sized Input
Channel Estimation for Millimeter-Wave Massive MIMO with Hybrid Precoding over Frequency-Selective Fading Channels
Contrastive Representation Learning for Robust Sim-to-Real Transfer of Adaptive Humanoid Locomotion
Syllabic Quantity Patterns as Rhythmic Features for Latin Authorship Attribution
EXP-SC: A Semantic Communication Model Based on Information Framework Expansion and Knowledge Collision
Erasing Self-Supervised Learning Backdoor by Cluster Activation Masking
On time and consistency in multi-level agent-based simulations
FFR_FD: Effective and Fast Detection of DeepFakes Based on Feature Point Defects
Detect Kernel-Mode Rootkits via Real Time Logging & Controlling Memory Access
Fighter Jet Navigation and Combat using Deep Reinforcement Learning with Explainable AI