yusuke1997/dblp-id-title huggingface dataset:
Architecture Matters: Investigating the Influence of Differential Privacy on Neural Network Design
Rethinking Object Saliency Ranking: A Novel Whole-flow Processing Paradigm
Embedding Earth: Self-supervised contrastive pre-training for dense land cover classification
Real-time Surface Deformation Recovery from Stereo Videos
Accelerator-aware Neural Network Design using AutoML
HoloGarment: 360° Novel View Synthesis of In-the-Wild Garments
Animal Classification System: A Block Based Approach
Hardless: A Generalized Serverless Compute Architecture for Hardware Processing Accelerators
Prompt-responsive Object Retrieval with Memory-augmented Student-Teacher Learning
Low-rank Meets Sparseness: An Integrated Spatial-Spectral Total Variation Approach to Hyperspectral Denoising
Distributed Linear Network Operators using Graph Filters
On Improving Local Search for Unsatisfiability
Asymmetric Degrees of Freedom of the Full-Duplex MIMO 3-Way Channel with Unicast and Broadcast Messages
Towards Robust Multi-tab Website Fingerprinting
Quantum Authentication of Classical Messages with Perfect Security
Finite-dimensional observer-based PI regulation control of a reaction-diffusion equation
Matrix-Lifting Semi-Definite Programming for Decoding in Multiple Antenna Systems
Estimating player completion rate in mobile puzzle games using reinforcement learning
Full Discretization of Stochastic Semilinear Schrödinger equation driven by multiplicative Wiener noise
EfficientNet in Digital Twin-based Cardiac Arrest Prediction and Analysis
On the Relationship between Transmission Power and Capacity of an Underwater Acoustic Communication Channel
AdaNAS: Adaptively Post-processing with Self-supervised Neural Architecture Search for Ensemble Rainfall Forecasts
Bayesian Spatial Kernel Smoothing for ScalableDense Semantic Mapping
A Concise Forwarding Information Base for Scalable and Fast Flat Name Switching
Face-to-Music Translation Using a Distance-Preserving Generative Adversarial Network with an Auxiliary Discriminator
Sponsored Questions and How to Auction Them
Token Compensator: Altering Inference Cost of Vision Transformer without Re-Tuning
The tensor rank of 5x5 matrices multiplication is bounded by 98 and its border rank by 89
An Open-Source Benchmark Suite for Cloud and IoT Microservices
Is CQT more suitable for monaural speech separation than STFT? an empirical study
Multi-Scale Superpatch Matching using Dual Superpixel Descriptors
Classification and Disease Localization in Histopathology Using Only Global Labels: A Weakly-Supervised Approach
Compliance Change Tracking in Business Process Services
Sequence-to-sequence Singing Voice Synthesis with Perceptual Entropy Loss
Can Intelligent Hyperparameter Selection Improve Resistance to Adversarial Examples?
Bag-of-Genres for Video Genre Retrieval
Classification of Complex Wishart Matrices with a Diffusion-Reaction System guided by Stochastic Distances
Advances in Science Visualization: Social Networks, Semantic Maps, and Discursive Knowledge
Confidence-Aware Routing for Large Language Model Reliability Enhancement: A Multi-Signal Approach to Pre-Generation Hallucination Mitigation
Networked Communication for Mean-Field Games with Function Approximation and Empirical Mean-Field Estimation
Serverless Computing: Architecture, Concepts, and Applications
Technical Report: KNN Joins Using a Hybrid Approach: Exploiting CPU/GPU Workload Characteristics
Hybrid Differentially Private Federated Learning on Vertically Partitioned Data
Twenty (or so) Questions: $D$-ary Length-Bounded Prefix Coding
Pure and Stationary Optimal Strategies in Perfect-Information Stochastic Games with Global Preferences
On the characteristics of natural hydraulic dampers: An image-based approach to study the fluid flow behaviour inside the human meniscal tissue
A review of motion planning algorithms for intelligent robotics
Interactive Multi-Robot Flocking with Gesture Responsiveness and Musical Accompaniment
Tensor Regression Using Low-rank and Sparse Tucker Decompositions
Autonomous Drug Design with Multi-armed Bandits
Universal Programmable Quantum Circuit Schemes to Emulate an Operator
A Case Study on Visualizing Large Spatial Datasets in a Web-based Map Viewer
Self-Corrected Min-Sum decoding of LDPC codes
Low-count Time Series Anomaly Detection
Linear-Time Approximation Scheme for k-Means Clustering of Affine Subspaces
ScoutGPT: Capturing Player Impact from Team Action Sequences Using GPT-Based Framework
Guidance of the resonance energy flow in the mechanism of coupled magnetic pendulums
Physics-informed DeepONet with stiffness-based loss functions for structural response prediction
Mapping the Technological Future: A Topic, Sentiment, and Emotion Analysis in Social Media Discourse
Aligning Large Language Models via Self-Steering Optimization
A Moving-Horizon Hybrid Stochastic Game for Secure Control of Cyber-Physical Systems
Efficient Global Optimization using Deep Gaussian Processes
A Minimal Closed-Form Solution for Multi-Perspective Pose Estimation using Points and Lines
Convolutional Deep Denoising Autoencoders for Radio Astronomical Images
Simple and Order-optimal Correlated Rounding Schemes for Multi-item E-commerce Order Fulfillment
Bayesian Decentralized Decision-making for Multi-Robot Systems: Sample-efficient Estimation of Event Rates
Natural Policy Gradient and Actor Critic Methods for Constrained Multi-Task Reinforcement Learning
Finding Numerical Solutions of Diophantine Equations using Ant Colony Optimization
Marking-up multiple views of a Text: Discourse and Reference
Spectral Properties of Laplacian and Stochastic Diffusion Process for Edge Expansion in Hypergraphs
More on the Power of Randomized Matrix Computations
ProactiveVA: Proactive Visual Analytics with LLM-Based UI Agent
SDialog: A Python Toolkit for Synthetic Dialogue Generation and Analysis
The Complexity of Computing the Sign of the Tutte Polynomial (and consequent #P-hardness of Approximation)
Finite Horizon Density Control for Static State Feedback Linearizable Systems
Normal Forms for (Semantically) Witness-Based Learners in Inductive Inference
SemTUI: a Framework for the Interactive Semantic Enrichment of Tabular Data
Shannon information and integrated information: message and meaning
A Preconditioned Interior Point Method for Support Vector Machines Using an ANOVA-Decomposition and NFFT-Based Matrix-Vector Products
VQC-Based Reinforcement Learning with Data Re-uploading: Performance and Trainability
Physics-Trained Neural Network as Inverse Problem Solver for Potential Fields: An Example of Downward Continuation between Arbitrary Surfaces
A Localized Orthogonal Decomposition method for heterogeneous mixed-dimensional problems
HyperCMR: Enhanced Multi-Contrast CMR Reconstruction with Eagle Loss
Adaptive Pseudo Label Selection for Individual Unlabeled Data by Positive and Unlabeled Learning
Hey That's Mine Imperceptible Watermarks are Preserved in Diffusion Generated Outputs
A Deep Learning-Based Autonomous RobotManipulator for Sorting Application
Metalearners for Ranking Treatment Effects
A Machine-Learning Method for Time-Dependent Wave Equations over Unbounded Domains
Unlearning Isn't Invisible: Detecting Unlearning Traces in LLMs from Model Outputs
Human Body Digital Twin: A Master Plan
Reducing False Ventricular Tachycardia Alarms in ICU Settings: A Machine Learning Approach
Tiered Sampling: An Efficient Method for Approximate Counting Sparse Motifs in Massive Graph Streams
Pair Programming with Large Language Models for Sampling and Estimation of Copulas
Attributed Relational SIFT-based Regions Graph (ARSRG): concepts and applications
Advancing Surgical VQA with Scene Graph Knowledge
Observer-Based Distributed Model Predictive Control for String-Stable Multi-vehicle Systems with Markovian Switching Topology
Leveraging Localization for Multi-camera Association
NetInf Mobile Node Architecture and Mobility Management based on LISP Mobile Node
A Tutorial on Bayesian Optimization of Expensive Cost Functions, with Application to Active User Modeling and Hierarchical Reinforcement Learning
The EMPATHIC Project: Mid-term Achievements
Defining and executing temporal constraints for evaluating engineering artifact compliance
A 'Little Bit' Too Much? High Speed Imaging from Sparse Photon Counts
Physics-guided Emulators Reveal Resilience and Fragility under Operational Latencies and Outages
DECAN: A Denoising Encoder via Contrastive Alignment Network for Dry Electrode EEG Emotion Recognition
Stock Price Prediction and Traditional Models: An Approach to Achieve Short-, Medium- and Long-Term Goals
Random Walks in Routing Landscapes
Confucius, Cyberpunk and Mr. Science: Comparing AI ethics between China and the EU
Improving the Robustness of Representation Misdirection for Large Language Model Unlearning
Simultaneous Trajectory Estimation and Mapping for Autonomous Underwater Proximity Operations
Progressive Multi-task Learning Framework for Chinese Text Error Correction
Engaging Audiences in Virtual Museums by Interactively Prompting Guiding Questions
Emphatic TD Bellman Operator is a Contraction
IRLBench: A Multi-modal, Culturally Grounded, Parallel Irish-English Benchmark for Open-Ended LLM Reasoning Evaluation
Summarizing Radiology Reports Findings into Impressions
Label-frugal satellite image change detection with generative virtual exemplar learning
Robust statistics and no-reference image quality assessment in Curvelet domain
DMPC-Swarm: Distributed Model Predictive Control on Nano UAV Swarms
DPGAN: A Dual-Path Generative Adversarial Network for Missing Data Imputation in Graphs
Universal Incremental Learning: Mitigating Confusion from Inter- and Intra-task Distribution Randomness
Modified steady discrete unified gas kinetic scheme for multiscale radiative heat transfer
Fundamental limits for weighted empirical approximations of tilted distributions
Load-Altering Attacks under COVID-19 Low-Inertia Conditions
Cryogenic Control and Readout Integrated Circuits for Solid-State Quantum Computing
ARCANE - Early Detection of Interplanetary Coronal Mass Ejections
Learning dynamical systems from data: a simple cross-validation perspective
On the Change of Decision Boundaries and Loss in Learning with Concept Drift
Patch Space Exploration using Static Analysis Feedback
Nonnegative Matrix Factorization with Local Similarity Learning
Robust and Fine-Grained Detection of AI Generated Texts
Intelligent and Reconfigurable Architecture for KL Divergence Based Online Machine Learning Algorithm
Coffee Roast Intelligence
Motion Planning using Reactive Circular Fields: A 2D Analysis of Collision Avoidance and Goal Convergence
A Stochastic Covariance Shrinkage Approach in Ensemble Transform Kalman Filtering
XDeep: An Interpretation Tool for Deep Neural Networks
Sentiment Analysis : A Literature Survey
Learning to Generalize over Subpartitions for Heterogeneity-aware Domain Adaptive Nuclei Segmentation
Active Learning for Network Intrusion Detection
On verification of software components
Proceedings 7th International Workshop on Formal Methods and Analysis in Software Product Line Engineering, FMSPLE@ETAPS 2016, Eindhoven, The Netherlands, April 3, 2016
A hierarchical Bayesian approach for population-based structural health monitoring in ship hull structures
Analysis and modeling to forecast in time series: a systematic review
A Tale of Three Location Trackers: AirTag, SmartTag, and Tile
Multi-Task Learning for Extraction of Adverse Drug Reaction Mentions from Tweets
Effect of assessment error and private information on stern-judging in indirect reciprocity
A meta learning scheme for fast accent domain expansion in Mandarin speech recognition
Learning Transferable 3D Adversarial Cloaks for Deep Trained Detectors
POLARIS: A High-contrast Polarimetric Imaging Benchmark Dataset for Exoplanetary Disk Representation Learning
Concept Embedding Models
Simulation-Driven Railway Delay Prediction: An Imitation Learning Approach
Context-PEFT: Efficient Multi-Modal, Multi-Task Fine-Tuning
De-risking Carbon Capture and Sequestration with Explainable CO2 Leakage Detection in Time-lapse Seismic Monitoring Images
Disentangled Dynamic Representations from Unordered Data
Neural Language Model for Automated Classification of Electronic Medical Records at the Emergency Room. The Significant Benefit of Unsupervised Generative Pre-training
Functional Bandits
Estimation-aware model predictive path-following control for a general 2-trailer with a car-like tractor
A Character-Level Approach to the Text Normalization Problem Based on a New Causal Encoder
BaZi-Based Character Simulation Benchmark: Evaluating AI on Temporal and Persona Reasoning
Latent Gaussian Process Regression
Numerical solution of the incompressible Navier-Stokes equations for chemical mixers via quantum-inspired Tensor Train Finite Element Method
Logic Mining Using Neural Networks
Low-Complexity Loeffler DCT Approximations for Image and Video Coding
Multi-Granularity Mutual Refinement Network for Zero-Shot Learning
Meta Networks for Neural Style Transfer
Separating Adaptive Streaming from Oblivious Streaming
Text Understanding from Scratch
Topological Interference Management with just Retransmission: What are the "Best" Topologies?
Dynamic AGV Task Allocation in Intelligent Warehouses
A Prototyping Environment for Integrated Artificial Attention Systems
Discriminative training of RNNLMs with the average word error criterion
Design of experiments aided holistic testing of cyber-physical energy systems
Notes on Pervasive Virtuality
Semi-blind Channel Estimation and Data Detection for Multi-cell Massive MIMO Systems on Time-Varying Channels
Box Decoding with Low-Complexity Sort-free Candidate Pruning for MIMO Detection
Delay-Optimum Adder Circuits with Linear Size
Recording First-person Experiences to Build a New Type of Foundation Model
SemanticBridge - A Dataset for 3D Semantic Segmentation of Bridges and Domain Gap Analysis
MultiEarth 2022 - Multimodal Learning for Earth and Environment Workshop and Challenge
Validation and Calibration of Semi-Analytical Models for the Event Horizon Telescope Observations of Sagittarius A
Simulating linear kinematic features in viscous-plastic sea ice models on quadrilateral and triangular grids
Rethinking Tokenization for Clinical Time Series: When Less is More
From Model-driven to Data-driven: A Survey on Active Deep Learning
Part-based approximations for morphological operators using asymmetric auto-encoders
Autonomous Dimension Reduction by Flattening Deformation of Data Manifold under an Intrinsic Deforming Field
Self-mediated exploration in artificial intelligence inspired by cognitive psychology
Addressing A Posteriori Performance Degradation in Neural Network Subgrid Stress Models
On Learning Prediction-Focused Mixtures
Efficient dynamic point cloud coding using Slice-Wise Segmentation
Reliable extrapolation of deep neural operators informed by physics or sparse observations
The Integration of On-Line Monitoring and Reconfiguration Functions using EDAA - European design and Automation Association1149.4 Into a Safety Critical Automotive Electronic Control Unit
V2Flow: Unifying Visual Tokenization and Large Language Model Vocabularies for Autoregressive Image Generation
N-DriverMotion: Driver motion learning and prediction using an event-based camera and directly trained spiking neural networks
Multi-patch isogeometric neural solver for partial differential equations on computer-aided design domains
Solving Random Hyperbolic Conservation Laws Using Linear Programming
Modern Information Technologies in Scientific Research and Educational Activities
Goal-Oriented A-Posteriori Estimation of Model Error as an Aid to Parameter Estimation
Security Analysis of Agentic AI Communication Protocols: A Comparative Evaluation
Medical Report Generation Is A Multi-label Classification Problem
Near-Optimality Guarantees for Approximating Rational Matrix Functions by the Lanczos Method
Embedding-based Silhouette Community Detection
Bounds on the Rate of Linear Locally Repairable Codes over Small Alphabets
Coherent Feed Forward Quantum Neural Network
Towards Tight Bounds for Estimating Degree Distribution in Streaming and Query Models
Distributed Federated Learning for Vehicular Network Security: Anomaly Detection Benefits and Multi-Domain Attack Threats
A Safe Screening Rule with Bi-level Optimization of ν Support Vector Machine
Bases for Riemann-Roch spaces of one point divisors on an optimal tower of function fields
Seed-Point Based Geometric Partitioning of Nuclei Clumps
Test-time adaptation for geospatial point cloud semantic segmentation with distinct domain shifts
A new discretization technique for initial value problems based on a variational principle
A study on the combined interplay between stochastic fluctuations and the number of flagella in bacterial chemotaxis
Distributed Adaptive Time-Varying Optimization with Global Asymptotic Convergence
Binary Image Features Proposed to Empower Computer Vision
Safety Synthesis Sans Specification
Harmonic Power-Flow Study of Polyphase Grids with Converter-Interfaced Distributed Energy Resources, Part I: Modelling Framework and Algorithm
AdaNovo: Adaptive \emph{De Novo} Peptide Sequencing with Conditional Mutual Information
Texture and Color-based Image Retrieval Using the Local Extrema Features and Riemannian Distance
VibeCodeHPC: An Agent-Based Iterative Prompting Auto-Tuner for HPC Code Generation Using LLMs
HERMES: A Hierarchical Broadcast-Based Silicon Photonic Interconnect for Scalable Many-Core Systems
Benchmarking Machine Learning Models for Quantum Error Correction
Can Large Language Models Develop Strategic Reasoning? Post-training Insights from Learning Chess
SuperMapNet for Long-Range and High-Accuracy Vectorized HD Map Construction
Monocular and Stereo Cues for Landing Zone Evaluation for Micro UAVs
Split Matching for Inductive Zero-shot Semantic Segmentation
Limited-Capacity Many-To-Many Point Matching in One Dimension
Agnostic Learning of Disjunctions on Symmetric Distributions
Cyber-Security in the Emerging World of Smart Everything
Algorithmic Aspects of a Novel Modular Decomposition Theory
Data Attacks on Power System State Estimation: Limited Adversarial Knowledge vs. Limited Attack Resources
Automated Retinal Layer and Fluid Segmentation and Cross-sectional Analysis using Spectral Domain Optical Coherence Tomography Images for Diabetic Retinopathy
Reliability is Blind: Collective Incentives for Decentralized Computing Marketplaces without Individual Behavior Information
General Purpose Artificial Intelligence Systems (GPAIS): Properties, Definition, Taxonomy, Open Challenges and Implications
Deep Autoregressive Models with Spectral Attention
Towards Auto-Modeling of Formal Verification for NextG Protocols: A Multimodal cross- and self-attention Large Language Model Approach
Structure-preserving approximation of the non-isothermal Cahn-Hilliard system
SelfEval: Leveraging the discriminative nature of generative models for evaluation
Oracle-Efficient Pessimism: Offline Policy Optimization in Contextual Bandits
On the Generalizability of Machine Learning-based Ransomware Detection in Block Storage
Brightness Control in Dynamic Range Constrained Visible Light OFDM Systems
Sparsely Factored Neural Machine Translation
Vehicle Class, Speed, and Roadway Geometry Based Driver Behavior Identification and Classification
Damping for fractional wave equations and applications to water waves
DeepSleepNet-Lite: A Simplified Automatic Sleep Stage Scoring Model with Uncertainty Estimates
LogIn: Unlock Journaling System for Personal Informatics
Entropy Guided Spectrum Based Bug Localization Using Statistical Language Model
Making Math Searchable in Wikipedia
Neural Interpretation of Generic Source Code
Deep Learning Modeling Method for RF Devices Based on Uniform Noise Training Set
Linear time-periodic dynamical systems: An H2 analysis and a model reduction framework
Association Rule Based Flexible Machine Learning Module for Embedded System Platforms like Android
Dense Graph Convolutional Neural Networks on 3D Meshes for 3D Object Segmentation and Classification
3D Face Recognition using Significant Point based SULD Descriptor
SDMAC: A Software-Defined MAC for Wi-Fi to Ease Implementation of Soft Real-time Applications
Hybrid Model-Data Fault Diagnosis for Wafer Handler Robots: Tilt and Broken Belt Cases
Real-Time Measurement-Driven Reinforcement Learning Control Approach for Uncertain Nonlinear Systems
Drone Streaming with Wi-Fi Grid Aggregation for Virtual Tour
Tutorial on Answering Questions about Images with Deep Learning
ViScratch: Using Large Language Models and Gameplay Videos for Automated Feedback in Scratch
Captions Are Worth a Thousand Words: Enhancing Product Retrieval with Pretrained Image-to-Text Models
Learn what you can't learn: Regularized Ensembles for Transductive Out-of-distribution Detection
Building a Modal-balanced BlockChain with Semantic Reconstruction
Physics Playground: Insights from a Qualitative-Quantitative Study about VR-Based Learning
Graph-less Neural Networks: Teaching Old MLPs New Tricks via Distillation
FED-PsyAU: Privacy-Preserving Micro-Expression Recognition via Psychological AU Coordination and Dynamic Facial Motion Modeling
Safety Guarantees for Planning Based on Iterative Gaussian Processes
Coming: a Tool for Mining Change Pattern Instances from Git Commits
Can Prompts Rewind Time for LLMs? Evaluating the Effectiveness of Prompted Knowledge Cutoffs
P1: Mastering Physics Olympiads with Reinforcement Learning
Adversarial Training Using Feedback Loops
Bounds and Invariant Sets for a Class of Switching Systems with Delayed-state-dependent Perturbations
Enhancing Low-Light Images Using Infrared-Encoded Images
ColdRoute: Effective Routing of Cold Questions in Stack Exchange Sites
Multi-spectral Vehicle Re-identification with Cross-directional Consistency Network and a High-quality Benchmark
DRS-OSS: LLM-Driven Diff Risk Scoring Tool for PR Risk Prediction
OpenCL-accelerated object classification in video streams using Spatial Pooler of Hierarchical Temporal Memory
Human Position Detection & Tracking with On-robot Time-of-Flight Laser Ranging Sensors
V2HDM-Mono: A Framework of Building a Marking-Level HD Map with One or More Monocular Cameras
Universal Reusability in Recommender Systems: The Case for Dataset- and Task-Independent Frameworks
Solving large linear least squares with linear equality constraints
Testing Noise Assumptions of Learning Algorithms
GeoDirDock: Guiding Docking Along Geodesic Paths
Cross-Frequency Collaborative Training Network and Dataset for Semi-supervised First Molar Root Canal Segmentation
Finding Sparse Structure for Domain Specific Neural Machine Translation
Proposal for a distributed, community-driven academic publishing system
PQS (Prune, Quantize, and Sort): Low-Bitwidth Accumulation of Dot Products in Neural Network Computations
Benchmarking of EEG Analysis Techniques for Parkinson's Disease Diagnosis: A Comparison between Traditional ML Methods and Foundation DL Methods
A Plant Root System Algorithm Based on Swarm Intelligence for One-dimensional Biomedical Signal Feature Engineering
Simple Cellular Automata-Based Linear Models for the Shrinking Generator
Domain-Informed Genetic Superposition Programming: A Case Study on SFRC Beams
On Optimal Min-# Curve Simplification Problem
Behavior-aware Account De-anonymization on Ethereum Interaction Graph
Stochastic gradient algorithms from ODE splitting perspective
Distributed Observer and Controller Design for Linear Systems: A Separation-Based Approach
A New Simulation Metric to Determine Safe Environments and Controllers for Systems with Unknown Dynamics
Differential Good Arm Identification
Steganalysis on Digital Watermarking: Is Your Defense Truly Impervious?
Deep Insights into Cognitive Decline: A Survey of Leveraging Non-Intrusive Modalities with Deep Learning Techniques
Scaling NVIDIA's Multi-speaker Multi-lingual TTS Systems with Zero-Shot TTS to Indic Languages
Relational reasoning via probabilistic coupling
QRMW: Quantum representation of multi wavelength images
Control Informed Design of the IAC Autonomous Racecar for Operation at the Dynamic Envelope
On Bundle Adjustment for Multiview PointCloud Registration
A Multimodal Supervised Machine Learning Approach for Satellite-based Wildfire Identification in Europe