yusuke1997/dblp-id-title huggingface dataset:
PartitionedVC: Partitioned External Memory Graph Analytics Framework for SSDs
How to estimate carbon footprint when training deep learning models? A guide and review
Toward Designing Intelligent PDEs for Computer Vision: An Optimal Control Approach
Supplementary Material for the Information Sciences Paper: An Experimental Study of Hyper-Heuristic Selection and Acceptance Mechanism for Combinatorial t-way Test Suite Generation
SynGAN: Towards Generating Synthetic Network Attacks using GANs
Improving Code Generation by Dynamic Temperature Sampling
A robust solver for H(curl) convection-diffusion and its local Fourier analysis
Compressed sensing of block-sparse positive vectors
On Single-Channel Speech Enhancement and On Non-Linear Modulation-Domain Kalman Filtering
Learning Feature Disentanglement and Dynamic Fusion for Recaptured Image Forensic
Unsupervised EHR-based Phenotyping via Matrix and Tensor Decompositions
On the Non-Uniqueness of Solutions to the Average Cost HJB for Controlled Diffusions with Near-Monotone Costs
A Polymorphic Groundness Analysis of Logic Programs
QuaDMix: Quality-Diversity Balanced Data Selection for Efficient LLM Pretraining
Hyperphantasia: A Benchmark for Evaluating the Mental Visualization Capabilities of Multimodal LLMs
Analysis and Prediction of Deforming 3D Shapes using Oriented Bounding Boxes and LSTM Autoencoders
Crisis Messaging Journeys: Epistemic Struggles over CDC Guidance During COVID-19
Stop Relying on No-Choice and Do not Repeat the Moves: Optimal, Efficient and Practical Algorithms for Assortment Optimization
Inexact Uzawa-Double Deep Ritz Method for Weak Adversarial Neural Networks
AutoScrum: Automating Project Planning Using Large Language Models
MVControl: Adding Conditional Control to Multi-view Diffusion for Controllable Text-to-3D Generation
Energy Dissipation by Metamorphic Micro-Robots in Viscous Fluids
Mechanizing Principia Logico-Metaphysica in Functional Type Theory
Learning Multiple Gaits within Latent Space for Quadruped Robots
Deepfake Detection and the Impact of Limited Computing Capabilities
One Communication Round is All It Needs for Federated Fine-Tuning Foundation Models
Combination of Hidden Markov Random Field and Conjugate Gradient for Brain Image Segmentation
Incremental Parametric Syntax for Multi-Language Transformation
A class of generalized additive Runge-Kutta methods
Verifying Chemical Reaction Network Implementations: A Pathway Decomposition Approach
Watching Popular Musicians Learn by Ear: A Hypothesis-Generating Study of Human-Recording Interactions in YouTube Videos
Learning Modulo Theories for preference elicitation in hybrid domains
Cutting Through Regular Post Embedding Problems
Strategy Discovery and Mixture in Lifelong Learning from Heterogeneous Demonstration
Reducing the Training Time of Neural Networks by Partitioning
Learning Progressive Modality-shared Transformers for Effective Visible-Infrared Person Re-identification
Microlocal Analysis of the Geometric Separation Problem
Lock in Feedback in Sequential Experiment
Beyond Verification: Abductive Explanations for Post-AI Assessment of Privacy Leakage
Corporate system of monitoring network informational resources based on agent-based approach
Bypassing KLS: Gaussian Cooling and an O*(n^3) Volume Algorithm
AHA - Predicting What Matters Next: Online Highlight Detection Without Looking Ahead
Classification of Safety Events at Nuclear Sites using Large Language Models
Learning Sub-Sampling and Signal Recovery with Applications in Ultrasound Imaging
GeneMAN: Generalizable Single-Image 3D Human Reconstruction from Multi-Source Human Data
M3PS: End-to-End Multi-Grained Multi-Modal Attribute-Aware Product Summarization in E-commerce
Deeply Self-Supervising Edge-to-Contour Neural Network Applied to Liver Segmentation
Gujarati-English Code-Switching Speech Recognition using ensemble prediction of spoken language
Regularized Maximum Likelihood Estimation and Feature Selection in Mixtures-of-Experts Models
Progressive versus Random Projections for Compressive Capture of Images, Lightfields and Higher Dimensional Visual Signals
Intra and Cross-spectrum Iris Presentation Attack Detection in the NIR and Visible Domains Using Attention-based and Pixel-wise Supervised Learning
FPUS23: An Ultrasound Fetus Phantom Dataset with Deep Neural Network Evaluations for Fetus Orientations, Fetal Planes, and Anatomical Features
On convergence of waveform relaxation for nonlinear systems of ordinary differential equations
Corpus Augmentation by Sentence Segmentation for Low-Resource Neural Machine Translation
Radar-Guided Polynomial Fitting for Metric Depth Estimation
Hydra: A System for Large Multi-Model Deep Learning
Learning to Model Aspects of Hearing Perception Using Neural Loss Functions
City-GAN: Learning architectural styles using a custom Conditional GAN architecture
Direct multi-modal inversion of geophysical logs using deep learning
A highly scalable and energy-efficient artificial neuron using an Ovonic Threshold Switch (OTS) featuring the spike-frequency adaptation and chaotic activity
General-Purpose Question-Answering with Macaw
Using Stochastic Gradient Descent to Smooth Nonconvex Functions: Analysis of Implicit Graduated Optimization with Optimal Noise Scheduling
Designing and Evaluating an AI-driven Immersive Multidisciplinary Simulation (AIMS) for Interprofessional Education
Liveness-Based Garbage Collection for Lazy Languages
Flexibility Characterization of Sustainable Power Systems in Demand Space: A Data-Driven Inverse Optimization Approach
Learning Geo-Temporal Non-Stationary Failure and Recovery of Power Distribution
Utilizing Free Clients in Federated Learning for Focused Model Enhancement
Super Resolution image reconstructs via total variation-based image deconvolution: a majorization-minimization approach
ARES: Locally Adaptive Reconstruction-based Anomaly Scoring
Spatiotemporal Spike-Pattern Selectivity in Single Mixed-Signal Neurons with Balanced Synapses
Resilient Peer-to-peer Learning based on Adaptive Aggregation
Recent Advances in Deep Learning: An Overview
IoHRT: An Open-Source Unified Framework Towards the Internet of Humans and Robotic Things with Cloud Computing for Home-Care Applications
Multi-Frame to Single-Frame: Knowledge Distillation for 3D Object Detection
Risk Perspective Exploration in Distributional Reinforcement Learning
Deep neural network solution of the electronic Schrödinger equation
A Comprehensive Survey on Word Representation Models: From Classical to State-Of-The-Art Word Representation Language Models
Combining Large Language Models and Gradient-Free Optimization for Automatic Control Policy Synthesis
Asynchronous Stochastic Gradient Descent with Delay Compensation for Distributed Deep Learning
On the on-line coloring of proper interval graphs
Towards Autoformalization of Mathematics and Code Correctness: Experiments with Elementary Proofs
INT v.s. FP: A Comprehensive Study of Fine-Grained Low-bit Quantization Formats
Optimizing for confidence - Costs and opportunities at the frontier between abstraction and reality
Performance Analysis of Hybrid Forecasting Model In Stock Market Forecasting
Generative Reversible Networks
Combating Domain Shift with Self-Taught Labeling
Cascaded Information Disclosure for Generalized Evaluation of Problem Solving Capabilities
PassionNet: An Innovative Framework for Duplicate and Conflicting Requirements Identification
Fast Bayesian Updates for Deep Learning with a Use Case in Active Learning
Medical Image Classification with KAN-Integrated Transformers and Dilated Neighborhood Attention
To know or not to know? Looking at payoffs signals selfish behavior, but it does not actually mean so
Inspiration Learning through Preferences
Deep Learning Assisted Inertial Dead Reckoning and Fusion
Word-Mappings of level 3
Fast numerical derivatives based on multi-interval Fourier extension
FAIR-USE4OS: From open source to Open Source
Secured Position Location and Tracking (SPL&T) for Detection of Multiple Malicious Nodes Maintaining Two Friendly References in Mobile Ad hoc Networks
Accelerating Frank-Wolfe Algorithm using Low-Dimensional and Adaptive Data Structures
MetaSegNet: Metadata-collaborative Vision-Language Representation Learning for Semantic Segmentation of Remote Sensing Images
Generative AI's aggregated knowledge versus web-based curated knowledge
Interpreting Language Models Through Concept Descriptions: A Survey
Balancing Robustness and Sensitivity using Feature Contrastive Learning
CrevNet: Conditionally Reversible Video Prediction
Modeling Flash Memory Channels Using Conditional Generative Nets
SAFARI: a Scalable Air-gapped Framework for Automated Ransomware Investigation
Survey of Automatic Plankton Image Recognition: Challenges, Existing Solutions and Future Perspectives
DAMASHA: Detecting AI in Mixed Adversarial Texts via Segmentation with Human-interpretable Attribution
From Ideal to Real: Unified and Data-Efficient Dense Prediction for Real-World Scenarios
BYOS: Knowledge-driven Large Language Models Bring Your Own Operating System More Excellent
Can Small and Reasoning Large Language Models Score Journal Articles for Research Quality and Do Averaging and Few-shot Help?
Beyond Memorization: Reasoning-Driven Synthesis as a Mitigation Strategy Against Benchmark Contamination
Revisiting Consensus-Based Energy-Management in Smart Grid with Transmission Losses and Directed Communication
PyChEst: a Python package for the consistent retrospective estimation of distributional changes in piece-wise stationary time series
Visual Rendering of Shapes on 2D Display Devices Guided by Hand Gestures
Stochastic Optimal Control as Non-equilibrium Statistical Mechanics: Calculus of Variations over Density and Current
Artificial Intelligence-based Smart Port Logistics Metaverse for Enhancing Productivity, Environment, and Safety in Port Logistics: A Case Study of Busan Port
Sampling-based Bayesian Inference with gradient uncertainty
Automated Deception Detection from Videos: Using End-to-End Learning Based High-Level Features and Classification Approaches
Using Linear Regression for Iteratively Training Neural Networks
Simulation Results on Selector Adaptation in Behavior Trees
Convex Hull Calculations: a Matlab Implementation and Correctness Proofs for the lrs-Algorithm
Background Fades, Foreground Leads: Curriculum-Guided Background Pruning for Efficient Foreground-Centric Collaborative Perception
Myths and Misconceptions about Attackers and Attacks
Association between Prefrontal fNIRS signals during Cognitive tasks and College scholastic ability test (CSAT) scores: Analysis using a quantum annealing approach
SpikeCV: Open a Continuous Computer Vision Era
Learning to Turn: Diffusion Imitation for Robust Row Turning in Under-Canopy Robots
Predictive Compliance Monitoring in Process-Aware Information Systems: State of the Art, Functionalities, Research Directions
Single vs Multi Vector Predictive Control of Five-phase Drives
Synthesizing Irreproducibility in Deep Networks
Task-Specific Context Decoupling for Object Detection
Knowledge Graph Enhanced Retrieval-Augmented Generation for Failure Mode and Effects Analysis
$\mathcal{L}_1$-$\mathcal{GP}$: $\mathcal{L}_1$ Adaptive Control with Bayesian Learning
Hybrid Machine Learning Models for Crop Yield Prediction
SIMSHIFT: A Benchmark for Adapting Neural Surrogates to Distribution Shifts
A Novel Deep Learning Architecture for Testis Histology Image Classification
kNN-Res: Residual Neural Network with kNN-Graph coherence for point cloud registration
Joint SIC and Relay Selection for Cooperative DS-CDMA Systems
Information field theory
LLM-MARS: Large Language Model for Behavior Tree Generation and NLP-enhanced Dialogue in Multi-Agent Robot Systems
Unreal Patterns
Small-Bench NLP: Benchmark for small single GPU trained models in Natural Language Processing
Collaboratively boosting data-driven deep learning and knowledge-guided ontological reasoning for semantic segmentation of remote sensing imagery
EmergentTTS-Eval: Evaluating TTS Models on Complex Prosodic, Expressiveness, and Linguistic Challenges Using Model-as-a-Judge
E2C: A Visual Simulator for Heterogeneous Computing Systems
Strategizing EV Charging and Renewable Integration in Texas
Environmental Monitoring for Smart Cities
DecAP: Decaying Action Priors for Accelerated Learning of Torque-Based Legged Locomotion Policies
ConvMixFormer- A Resource-efficient Convolution Mixer for Transformer-based Dynamic Hand Gesture Recognition
Understanding Communication Preferences of Information Workers in Engagement with Text-Based Conversational Agents
Projective Kolmogorov Arnold Neural Networks (P-KANs): Entropy-Driven Functional Space Discovery for Interpretable Machine Learning
Guitar Effects Recognition and Parameter Estimation with Convolutional Neural Networks
FFT, FMM, and Multigrid on the Road to Exascale: performance challenges and opportunities
Modeling and Counteracting Exposure Bias in Recommender Systems
What are you sinking? A geometric approach on attention sink
Revisiting the MIMIC-IV Benchmark: Experiments Using Language Models for Electronic Health Records
Hybrid Learning Aided Inactive Constraints Filtering Algorithm to Enhance AC OPF Solution Time
Wildfire risk forecast: An optimizable fire danger index
CAST: Clustering Self-Attention using Surrogate Tokens for Efficient Transformers
Effective Delegation and Leadership in Software Management
Predicting SLA Violations in Real Time using Online Machine Learning
Gnothi Seauton: Empowering Faithful Self-Interpretability in Black-Box Models
CLIMB: A Benchmark of Clinical Bias in Large Language Models
Development of Interpretable Machine Learning Models to Detect Arrhythmia based on ECG Data
Artificial Intelligence for Public Health Surveillance in Africa: Applications and Opportunities
Accelerated high-cycle phase field fatigue predictions
Self-orthogonal and self-dual codes from maximal curves
ECG beat classification using machine learning and pre-trained convolutional neural networks
Weakness Analysis and Improvement of a Gateway-Oriented Password-Based Authenticated Key Exchange Protocol
On the works of Avi Wigderson
A Curry-Howard Correspondence for the Minimal Fragment of Łukasiewicz Logic
The nonlinear dynamics of a bistable energy harvesting system with colored noise disturbances
Provable Acceleration of Heavy Ball beyond Quadratics for a Class of Polyak-Łojasiewicz Functions when the Non-Convexity is Averaged-Out
New Hybrid Neuro-Evolutionary Algorithms for Renewable Energy and Facilities Management Problems
Simulation of Parallel-Jaw Grasping using Incremental Potential Contact Models
Recent Advances in Human-Robot Collaboration Towards Joint Action
Persistence and periodicity in a dynamic proximity network
Class-attention Video Transformer for Engagement Intensity Prediction
Robust IRS-aided Secrecy Transmission with Location Optimization
GoalRank: Group-Relative Optimization for a Large Ranking Model
Online Meta-learning by Parallel Algorithm Competition
A Constraint Driven Solution Model for Discrete Domains with a Case Study of Exam Timetabling Problems
Ges3ViG: Incorporating Pointing Gestures into Language-Based 3D Visual Grounding for Embodied Reference Understanding
In Praise of Sequence (Co-)Algebra and its implementation in Haskell
Machine learning in spectral domain
1-D and 2-D Parallel Algorithms for All-Pairs Similarity Problem
Hybrid Cooperative Co-Evolution Algorithm for Deadlock-prone Distributed Assembly Flowshop Scheduling with Limited buffers Using Petri nets
Goal-conditioned Batch Reinforcement Learning for Rotation Invariant Locomotion
Adaptive n-ary Activation Functions for Probabilistic Boolean Logic
Optimal Sequential Vector Estimation
The Ingredients of Real-World Robotic Reinforcement Learning
Maximum-Likelihood Priority-First Search Decodable Codes for Combined Channel Estimation and Error Protection
UP-Person: Unified Parameter-Efficient Transfer Learning for Text-based Person Retrieval
Characterizing 5G User Throughput via Uncertainty Modeling and Crowdsourced Measurements
Analysis of Viral Spreading in Large-Scale Networks from Local Structural Information
Decoding Structure-Spectrum Relationships with Physically Organized Latent Spaces
MultiLock: Mobile Active Authentication based on Multiple Biometric and Behavioral Patterns
Development of a Collaborative Robotic Arm-based Bimanual Haptic Display
Decoupling Multivariate Polynomials Using First-Order Information
The QLBS Q-Learner Goes NuQLear: Fitted Q Iteration, Inverse RL, and Option Portfolios
Learning to Lie: Reinforcement Learning Attacks Damage Human-AI Teams and Teams of LLMs
Defending LVLMs Against Vision Attacks through Partial-Perception Supervision
Emerging Paradigms of Neural Network Pruning
Open Source Software Lifecycle Classification: Developing Wrangling Techniques for Complex Sociotechnical Systems
Scalable Influence Estimation Without Sampling
SCORE: Soft Label Compression-Centric Dataset Condensation via Coding Rate Optimization
ProNet: Learning to Propose Object-specific Boxes for Cascaded Neural Networks
Formulas for Counting the Sizes of Markov Equivalence Classes of Directed Acyclic Graphs
Kaapana: A Comprehensive Open-Source Platform for Integrating AI in Medical Imaging Research Environments
REPA Works Until It Doesn't: Early-Stopped, Holistic Alignment Supercharges Diffusion Training
A Fair Loss Function for Network Pruning
ReCross: Efficient Embedding Reduction Scheme for In-Memory Computing using ReRAM-Based Crossbar
Subsampling-Based Approximate Monte Carlo for Discrete Distributions
Social Networks Analysis to Retrieve Critical Comments on Online Platforms
What Makes an Effective Scalarising Function for Multi-Objective Bayesian Optimisation?
Assessing a human mediated current awareness service
Integrated Sensing and Communication for Vehicular Networks: A Rate-Distortion Fundamental Limits of State Estimator
Accuracy Convergent Field Predictors
Distant Reading of the German Coalition Deal: Recognizing Policy Positions with BERT-based Text Classification
OpenSeg-R: Improving Open-Vocabulary Segmentation via Step-by-Step Visual Reasoning
AquaChat: An LLM-Guided ROV Framework for Adaptive Inspection of Aquaculture Net Pens
Simulation-based Approach for Fast Optimal Control of a Stefan Problem with Application to Cell Therapy
Personalised product design using virtual interactive techniques
Evidential Transformers for Improved Image Retrieval
Amplifying the Imitation Effect for Reinforcement Learning of UCAV's Mission Execution
EmbryoDiff: A Conditional Diffusion Framework with Multi-Focal Feature Fusion for Fine-Grained Embryo Developmental Stage Recognition
The Sea Exploration Problem: Data-driven Orienteering on a Continuous Surface
Profile Control of a Borosilicate-Glass Groove Formed by Deep Reactive Ion Etching
Packet Completion Time Minimization via Joint D2D and Cellular Communication: A Unified Network Coding Approach
An Adaptive Resilience Testing Framework for Microservice Systems
Extending Finite Memory Determinacy to Multiplayer Games
Improved information security using robust Steganography system
On the robustness of noise-blind low-rank recovery from rank-one measurements
Hybrid Meta-learners for Estimating Heterogeneous Treatment Effects
Physico-chemical properties extraction from the fluorescence spectrum with 1D-convolutional neural networks: application to olive oil
(G)I-DLE: Generative Inference via Distribution-preserving Logit Exclusion with KL Divergence Minimization for Constrained Decoding
6DoF Head Pose Estimation through Explicit Bidirectional Interaction with Face Geometry
DeepAuto: A Hierarchical Deep Learning Framework for Real-Time Prediction in Cellular Networks
Appearance-Invariant 6-DoF Visual Localization using Generative Adversarial Networks
Response to: Significance and stability of deep learning-based identification of subtypes within major psychiatric disorders. Molecular Psychiatry (2022)
AdaSplats: Adaptative Splats from Semantic Point Cloud for Fast and High-Fidelity LiDAR Simulation
Inertial Navigation Using an Inertial Sensor Array
Segmentwise Pruning in Audio-Language Models
AiSciVision: A Framework for Specializing Large Multimodal Models in Scientific Image Classification
Perspectives on individual animal identification from biology and computer vision
A 200 Line MATLAB Code for Inverse Design in Photonics by Topology Optimization
A deep learning approach for brain tumor detection using magnetic resonance imaging
Artificial General Intelligence, Existential Risk, and Human Risk Perception
SNIPS: Succinct Proof of Storage for Efficient Data Synchronization in Decentralized Storage Systems
Preparing for the worst: Long-term and short-term weather extremes in resource adequacy assessment
The logical meaning of Expansion
Computing 𝒮-DAGs and Parity Games
Estimating The Carbon Footprint Of Digital Agriculture Deployment: A Parametric Bottom-Up Modelling Approach
Dynamic Model of a Pumping Kite Power System
Investigation of microstructural evolution of irradiation-induced defects in tungsten: an experimental-numerical approach
Where to Go on Your Next Trip? Optimizing Travel Destinations Based on User Preferences
Variational Bi-domain Triplet Autoencoder
Fault Localization in Cloud using Centrality Measures
State Space Representations of Deep Neural Networks
Detection Software Content Failures Using Dynamic Execution Information
Lossy Data Compression By Adaptive Mesh Coarsening
Speech to Speech Translation with Translatotron: A State of the Art Review
On the complexity of the free space of a translating square in R^3
$K_{1, 3}$-covering red and blue points in the plane
Wavelets Are All You Need for Autoregressive Image Generation
Sample-Optimal Parametric Q-Learning with Linear Transition Models
Quantization using Compressive Sensing
C-ShipGen: A Conditional Guided Diffusion Model for Parametric Ship Hull Design
Attending Form and Context to Generate Specialized Out-of-VocabularyWords Representations
DEFN: Dual-Encoder Fourier Group Harmonics Network for Three-Dimensional Macular Hole Reconstruction with Stochastic Retinal Defect Augmentation and Dynamic Weight Composition
StyleTTS-VC: One-Shot Voice Conversion by Knowledge Transfer from Style-Based TTS Models
DataMosaic: Explainable and Verifiable Multi-Modal Data Analytics through Extract-Reason-Verify
Pengaruh Perangkat Server Terhadap Kualitas Pengontrolan Jarak Jauh Melalui Internet
A 3D generative model of pathological multi-modal MR images and segmentations
Improved Regularization Techniques for End-to-End Speech Recognition
Symmetry in Distributed Storage Systems
Automated Energy Billing with Blockchain and the Prophet Forecasting Model: A Holistic Approach
Toxicity Detection for Indic Multilingual Social Media Content
Covering Cubes and the Closest Vector Problem
R scripting libraries for comparative analysis of the correlation methods to identify factors affecting Mariana Trench formation
Low-Cost Recurrent Neural Network Expected Performance Evaluation
Instabilities Appearing in Effective Field theories: When and How?
Critical paths in a metapopulation model of H1N1: Efficiently delaying influenza spreading through flight cancellation
UCMExporter: Supporting Scenario Transformations from Use Case Maps
Modeling of non-equilibrium effects in intermittency region between two phases
CODYRUN, outil de simulation et d'aide à la conception thermo-aéraulique de bâtiments
Security Analyses of Quantum Communication Protocols
Robust 3D Human Motion Reconstruction Via Dynamic Template Construction
Evaluating Out-of-Distribution Detectors Through Adversarial Generation of Outliers
Competing activation mechanisms in epidemics on networks
Learning To Communicate Over An Unknown Shared Network
Detection of brain tumors using machine learning algorithms
Finite-SNR Analysis of Partial Relaying with Relay Selection in Channel-coded Cooperative Networks
Real-to-Sim Adaptation via High-Fidelity Simulation to Control a Wheeled-Humanoid Robot with Unknown Dynamics
Inception Augmentation Generative Adversarial Network
How social feedback processing in the brain shapes collective opinion processes in the era of social media
Deep Reinforcement Learning (DRL)-based Methods for Serverless Stream Processing Engines: A Vision, Architectural Elements, and Future Directions