yusuke1997/dblp-id-title huggingface dataset:
FastSTMF: Efficient tropical matrix factorization algorithm for sparse data
Learning with Physical Constraints
Unsupervised and Few-shot Parsing from Pretrained Language Models
On Tightness of Mutual Dependence Upperbound for Secret-key Capacity of Multiple Terminals
Improving zero-shot learning by mitigating the hubness problem
SuperFed: Weight Shared Federated Learning
Towards Correlated Sequential Rules
High speed fault tolerant secure communication for muon chamber using fpga based gbt emulator
Trellis Coded Modulation for Two-User Unequal-Rate Gaussian MAC
Diffusion Models for Image Restoration and Enhancement - A Comprehensive Survey
Comparative performance of ensemble models in predicting dental provider types: insights from fee-for-service data
RobustFSM: Submodular Maximization in Federated Setting with Malicious Clients
Online Robust Sliding-Windowed LiDAR SLAM in Natural Environments
Generating crossmodal gene expression from cancer histopathology improves multimodal AI predictions
Convergence Analysis for Deep Sparse Coding via Convolutional Neural Networks
CE-GPPO: Coordinating Entropy via Gradient-Preserving Clipping Policy Optimization in Reinforcement Learning
A Power-Consumption Analysis for Different IPoWDM Network Architectures with ZR/ZR+ and Long-Haul Muxponders
Dynamic Markers: UAV landing proof of concept
Towards Constraint-based High Performance Cloud System in the Process of Cloud Computing Adoption in an Organization
Squaring within the Colless index yields a better balance index
Dual-Domain Deep Learning-Assisted NOMA-CSK Systems for Secure and Efficient Vehicular Communications
On Skolem-hardness and saturation points in Markov decision processes
A note on module-composed graphs
On Measure Quantifiers in First-Order Arithmetic (Long Version)
The asymptotic induced matching number of hypergraphs: balanced binary strings
Divide-and-Conquer the NAS puzzle in Resource Constrained Federated Learning Systems
A Networked Competitive Multi-Virus SIR Model: Analysis and Observability
DRAG: Divergence-based Adaptive Aggregation in Federated learning on Non-IID Data
PackIt! Gamified Rectangle Packing
Distributed Apportioning in a Power Network for providing Demand Response Services
Efficient Data Association and Uncertainty Quantification for Multi-Object Tracking
Adversarial Machine Learning - Industry Perspectives
The Design Space of Recent AI-assisted Research Tools for Ideation, Sensemaking, and Scientific Creativity
Evolutionary Algorithms for Fuzzy Cognitive Maps
Adaptive Gradient Methods with Local Guarantees
Adversarial Data Collection: Human-Collaborative Perturbations for Efficient and Robust Robotic Imitation Learning
Scene Image is Non-Mutually Exclusive - A Fuzzy Qualitative Scene Understanding
Toward Intelligent Network Optimization in Wireless Networking: An Auto-learning Framework
On the Inclusion Relation of Reproducing Kernel Hilbert Spaces
Effects of Network Communities and Topology Changes in Message-Passing Computation of Harmonic Influence in Social Networks
Approximate Equalities on Rough Intuitionistic Fuzzy Sets and an Analysis of Approximate Equalities
Goal-Oriented A Posteriori Error Estimation for the Biharmonic Problem Based on Equilibrated Moment Tensor
KOALA++: Efficient Kalman-Based Optimization of Neural Networks with Gradient-Covariance Products
Beyond Model Ranking: Predictability-Aligned Evaluation for Time Series Forecasting
Trusted Knowledge Extraction for Operations and Maintenance Intelligence
Physics-Informed Learning for Time-Resolved Angiographic Contrast Agent Concentration Reconstruction
An Approximation of the Marcum Q-Function with Application to the Performance Analysis of Communication Systems
SoK: Memorisation in machine learning
Singularity of the Hessian in Deep Learning
Opportunistic Wireless Energy Beamforming using RSSI Feedback
Unlocking Open-Set Language Accessibility in Vision Models
Amortised Inference in Bayesian Neural Networks
What Can Be Recovered Under Sparse Adversarial Corruption? Assumption-Free Theory for Linear Measurements
Protocol Programming: A Connection of the Digit World
A Fractional Subgrid-scale Model for Turbulent Flows: Theoretical Formulation and a Priori Study
KeyDroid: A Large-Scale Analysis of Secure Key Storage in Android Apps
Security Vulnerabilities Against Fingerprint Biometric System
Self-Ensembling Gaussian Splatting for Few-Shot Novel View Synthesis
Chaotic Memory Randomization for Securing Embedded Systems
Context-aware Mamba-based Reinforcement Learning for social robot navigation
Towards automatic extractive text summarization of A-133 Single Audit reports with machine learning
Brain Tumor Image Retrieval via Multitask Learning
Dynamic-Width Speculative Beam Decoding for Efficient LLM Inference
Handwritten Arabic Numeral Recognition using a Multi Layer Perceptron
Associating transportation planning-related measures with Mild Cognitive Impairment
Adaptive Language-based Mental Health Assessment with Item-Response Theory
Comparing linear structure-based and data-driven latent spatial representations for sequence prediction
Adaptive Learning Rule for Hardware-based Deep Neural Networks Using Electronic Synapse Devices
Temporal Reasoning without Transitive Tables
Estimating Activity at Multiple Scales using Spatial Abstractions
SWP-Leaf NET: a novel multistage approach for plant leaf identification based on deep learning
Uncertainty in Authorship: Why Perfect AI Detection Is Mathematically Impossible
Closed-loop Matters: Dual Regression Networks for Single Image Super-Resolution
Asymptotic Analysis of Random Lattices in High Dimensions
Blind Adaptive Algorithms for Decision Feedback DS-CDMA Receivers in Multipath Channels
AdaGrad Meets Muon: Adaptive Stepsizes for Orthogonal Updates
Approach for GDPR Compliant Detection of COVID-19 Infection Chains
DPZero: Dimension-Independent and Differentially Private Zeroth-Order Optimization
FETI-DP preconditioners for 2D Biot model with discontinuous Galerkin discretization
Coloring Geometric Hypergraphs: A Survey
Cooperative Optimization of Grid-Edge Cyber and Physical Resources for Resilient Power System Operation
Analysis of Pleasantness Evoked by Various Airborne Ultrasound Tactile Stimuli Using Pairwise Comparisons and the Bradley-Terry Model
Joint Study of Above Ground Biomass and Soil Organic Carbon for Total Carbon Estimation using Satellite Imagery in Scotland
Deep Metric Learning for Computer Vision: A Brief Overview
Image compression using anti-forensics method
Mamba-R: Vision Mamba ALSO Needs Registers
RADAMS: Resilient and Adaptive Alert and Attention Management Strategy against Informational Denial-of-Service (IDoS) Attacks
Bounds on the Menu-Size of Approximately Optimal Auctions via Optimal-Transport Duality
Less Is More? Examining Fairness in Pruned Large Language Models for Summarising Opinions
Latent Relation Representations for Universal Schemas
RMS: Redundancy-Minimizing Point Cloud Sampling for Real-Time Pose Estimation in Degenerated Environments
Grounding-MD: Grounded Video-language Pre-training for Open-World Moment Detection
Technical Report : Analytical Modeling and Improvement of Interference-Coupled RAN Slicing
On Estimating the Training Cost of Conversational Recommendation Systems
Implementation of communication media around a mixed reality experience with HoloLens headset, as part of a digitalization of a nutrition workshop
Sensitivity Analysis for Piecewise-Affine Approximations of Nonlinear Programs with Polytopic Constraints
Selective Encryption using Segmentation Mask with Chaotic Henon Map for Multidimensional Medical Images
Machine learning and reduced order modelling for the simulation of braided stent deployment
A Stochastic Interacting Particle-Field Algorithm for a Haptotaxis Advection-Diffusion System Modeling Cancer Cell Invasion
It's a Tough Nanoworld: in Tile Assembly, Cooperation is not (strictly) more Powerful than Competition
Universality of preference behaviors in online music-listener bipartite networks: A Big Data analysis
Augment & Valuate : A Data Enhancement Pipeline for Data-Centric AI
Unlocking the Heart Using Adaptive Locked Agnostic Networks
Discrete Dubins Paths
OV9D: Open-Vocabulary Category-Level 9D Object Pose and Size Estimation
A Framework of Transfer Learning in Object Detection for Embedded Systems
SleepNet: Automated Sleep Disorder Detection via Dense Convolutional Neural Network
Dark Personality Traits and Online Toxicity: Linking Self-Reports to Reddit Activity
See, Think, Act: Teaching Multimodal Agents to Effectively Interact with GUI by Identifying Toggles
What Is Next for LLMs? Next-Generation AI Computing Hardware Using Photonic Chips
Efficient Sliced Wasserstein Distance Computation via Adaptive Bayesian Optimization
A simple but tough-to-beat baseline for the Fake News Challenge stance detection task
Pretrained Language Models for Document-Level Neural Machine Translation
A Consistent Discrete 3D Hodge-type Decomposition: implementation and practical evaluation
Color Image Enhancement Using the lrgb Coordinates in the Context of Support Fuzzification
Murder by design: Design thinking approach for pre-emptive cybernetic security design
Demonstration Abstract: A Toolkit for Specifying Service Level Agreements for IoT applications
Class-agnostic 3D Segmentation by Granularity-Consistent Automatic 2D Mask Tracking
Off-the-Grid MARL: a Framework for Dataset Generation with Baselines for Cooperative Offline Multi-Agent Reinforcement Learning
Improving the Noise Estimation of Latent Neural Stochastic Differential Equations
BertRLFuzzer: A BERT and Reinforcement Learning based Fuzzer
Model of Interaction between Learning and Evolution
A review of TinyML
Unique Device Identification Based Linkage of Hierarchically Accessible Data Domains in Prospective Hospital Data Ecosystems
Understanding Adam Requires Better Rotation Dependent Assumptions
DMF-Net: A decoupling-style multi-band fusion model for real-time full-band speech enhancement
Part of Speech Tagging (POST) of a Low-resource Language using another Language (Developing a POS-Tagged Lexicon for Kurdish (Sorani) using a Tagged Persian (Farsi) Corpus)
Dual-view Aware Smart Contract Vulnerability Detection for Ethereum
From Symbolic to Neural and Back: Exploring Knowledge Graph-Large Language Model Synergies
Newton iteration for lexicographic Gröbner bases in two variables
HyperQ-Opt: Q-learning for Hyperparameter Optimization
Parametric Neural Amp Modeling with Active Learning
On the list decodability of Rank Metric codes
Smudged Fingerprints: A Systematic Evaluation of the Robustness of AI Image Fingerprints
Towards an Efficient Prolog System by Code Introspection
LazyDrag: Enabling Stable Drag-Based Editing on Multi-Modal Diffusion Transformers via Explicit Correspondence
A Critical Review of Physics-Informed Machine Learning Applications in Subsurface Energy Systems
Neural Architecture Search based on Cartesian Genetic Programming Coding Method
Enhancing sensitivity in quantum metrology by Hamiltonian extensions
Scale-free Collaborative Protocol Design for Synchronization of Homogeneous and Heterogeneous Discrete-time Multi-agent Systems
Toward using explainable data-driven surrogate models for treating performance-based seismic design as an inverse engineering problem
BeyondFacial: Identity-Preserving Personalized Generation Beyond Facial Close-ups
Sparse-GAN: Sparsity-constrained Generative Adversarial Network for Anomaly Detection in Retinal OCT Image
A Critical Review of Causal Reasoning Benchmarks for Large Language Models
Learning Task Agnostic Skills with Data-driven Guidance
Infected Smallville: How Disease Threat Shapes Sociality in LLM Agents
Dynamical Low-Rank Approximations for Kalman Filtering
Matrix Recovery from Rank-One Projection Measurements via Nonconvex Minimization
A latent topic model for mining heterogenous non-randomly missing electronic health records data
Automatic detection of lesion load change in Multiple Sclerosis using convolutional neural networks with segmentation confidence
Probing the Limits of Stylistic Alignment in Vision-Language Models
Real-time Traffic Data Prediction with Basic Safety Messages using Kalman-Filter based Noise Reduction Model and Long Short-term Memory Neural Network
Semi-Parametric Deep Neural Networks in Linear Time and Memory
A Cost-Efficient FPGA Implementation of Tiny Transformer Model using Neural ODE
Parallel Software to Offset the Cost of Higher Precision
Whether to trust: the ML leap of faith
Controlling centrality in complex networks
PIAug - Physics Informed Augmentation for Learning Vehicle Dynamics for Off-Road Navigation
Citations and impact of Dutch astronomy
Modelling Creativity: Identifying Key Components through a Corpus-Based Approach
High order numerical simulations for the polymer self-consistent field theory using the adaptive virtual element and spectral deferred correction methods
Similarity = Value? Consultation Value Assessment and Alignment for Personalized Search
Active Cyber Defense Dynamics Exhibiting Rich Phenomena
Cognitive Memory Network
Effect of Batch Normalization on Noise Resistant Property of Deep Learning Models
Benignity of loss landscape with weight decay requires both large overparametrization and initialization
Ranking LLMs by compression
Towards Incorporating Entity-specific Knowledge Graph Information in Predicting Drug-Drug Interactions
Machine Learning Force-Field Approach for Itinerant Electron Magnets
High-order Structure-preserving Methods for Damped Hamiltonian System
Adaptive Multi-Strategy Market-Making Agent For Volatile Markets
Online Myopic Network Covering
Partial Channel Network: Compute Fewer, Perform Better
A convergent low-wavenumber, high-frequency homogenization of the wave equation in periodic media with a source term
Reinforcement Learning for the Soccer Dribbling Task
S 2 GPT-PINNs: Sparse and Small models for PDEs
A PCA-Based Convolutional Network
An Integrated Epidemic Simulation Workflow for Submodular Intervention Strategies
Data Guard: A Fine-grained Purpose-based Access Control System for Large Data Warehouses
Excitatory/Inhibitory Balance Emerges as a Key Factor for RBN Performance, Overriding Attractor Dynamics
Equivariant Representation Learning for Augmentation-based Self-Supervised Learning via Image Reconstruction
Towards Ground Truth Explainability on Tabular Data
Bootstrapping Referring Multi-Object Tracking
Surround-view Fisheye BEV-Perception for Valet Parking: Dataset, Baseline and Distortion-insensitive Multi-task Framework
DynaMate: An Autonomous Agent for Protein-Ligand Molecular Dynamics Simulations
Smooth Robustness Measures for Symbolic Control Via Signal Temporal Logic
Data-Driven Learning of the Number of States in Multi-State Autoregressive Models
On the Out of Distribution Robustness of Foundation Models in Medical Image Segmentation
SubGraD- An Approach for Subgraph Detection
ProtoEM: A Prototype-Enhanced Matching Framework for Event Relation Extraction
Speed, power and cost implications for GPU acceleration of Computational Fluid Dynamics on HPC systems
Floor Map Reconstruction Through Radio Sensing and Learning By a Large Intelligent Surface
Streamlining the Action Dependency Graph Framework: Two Key Enhancements
Cantilevered, Rectangular Plate Dynamics by Finite Difference Methods
Efficient Collaborative Application Monitoring Scheme for Mobile Networks
Multi-channel Deep 3D Face Recognition
Understanding intra-node communication in HPC systems and Datacenters
Explainable Artificial Intelligence Architecture for Melanoma Diagnosis Using Indicator Localization and Self-Supervised Learning
Exposing Hidden Backdoors in NFT Smart Contracts: A Static Security Analysis of Rug Pull Patterns
Self-Supervised Learning for Neural Topic Models with Variance-Invariance-Covariance Regularization
Deep Reinforcement Learning Based Systems for Safety Critical Applications in Aerospace
A Decision Framework for Blockchain Adoption
SA-MLP: Enhancing Point Cloud Classification with Efficient Addition and Shift Operations in MLP Architectures
Sci-Phi: A Large Language Model Spatial Audio Descriptor
Network of scientific concepts: empirical analysis and modeling
Robust Robotic Exploration and Mapping Using Generative Occupancy Map Synthesis
Shape-aware Surface Reconstruction from Sparse Data
An Intuitionisticaly based Description Logic
Rethinking Multimodal Learning from the Perspective of Mitigating Classification Ability Disproportion
UCP: Uniform Channel Pruning for Deep Convolutional Neural Networks Compression and Acceleration
Step-Indexed Logical Relations for Probability (long version)
Managing and Analysing Software Product Line Requirements
What does BERT Learn from Multiple-Choice Reading Comprehension Datasets?
Lazy Incremental Search for Efficient Replanning with Bounded Suboptimality Guarantees
On the Choice of Fairness: Finding Representative Fairness Metrics for a Given Context
The Echoes of the 'I': Tracing Identity with Demographically Enhanced Word Embeddings
A Note on the Inheritance of the Isometry-Dual Property under Puncturing AG Codes
Caesar: A Low-deviation Compression Approach for Efficient Federated Learning
Graph filtering over expanding graphs
A Variance Maximization Criterion for Active Learning
BERT-DRE: BERT with Deep Recursive Encoder for Natural Language Sentence Matching
OSegNet: Operational Segmentation Network for COVID-19 Detection using Chest X-ray Images
A Case Study: Using Genetic Algorithm for Job Scheduling Problem
EnsembleSVM: A Library for Ensemble Learning Using Support Vector Machines
Political Ideology and Polarization of Policy Positions: A Multi-dimensional Approach
OmniQuery: Contextually Augmenting Captured Multimodal Memory to Enable Personal Question Answering
Finding descending sequences through ill-founded linear orders
Average-Case Analysis of Iterative Voting
Actron3D: Learning Actionable Neural Functions from Videos for Transferable Robotic Manipulation
Extremal problems in ordered graphs
Extension of Path Probability Method to Approximate Inference over Time
Token Level Hallucination Detection via Variance in Language Models
Detection of Abuse in Financial Transaction Descriptions Using Machine Learning
Randomized batch-sampling Kaczmarz methods for general linear systems
Incremental Structure Discovery of Classification via Sequential Monte Carlo
Algorithms for spanning trees of unweighted networks
The Splendors and Miseries of Heavisidisation
Animation Needs Attention: A Holistic Approach to Slides Animation Comprehension with Visual-Language Models
Preference Modeling by Exploiting Latent Components of Ratings
Wide & Deep Learning for Judging Student Performance in Online One-on-one Math Classes
Mixup Domain Adaptations for Dynamic Remaining Useful Life Predictions
Biomimetic IGA neuron growth modeling with neurite morphometric features and CNN-based prediction
Minimization of Transformed L 1 Penalty: Closed Form Representation and Iterative Thresholding Algorithms
Computing Information Quantity as Similarity Measure for Music Classification Task
District Vitality Index Using Machine Learning Methods for Urban Planners
A case study of Empirical Bayes in User-Movie Recommendation system
An Accurate Approximation to the Distribution of the Sum of Equally Correlated Nakagami-m Envelopes and its Application in Equal Gain Diversity Receivers
Worldwide Domain Spaces make quantitative data searchable and prepare these for interoperable exchange
A Comparative Analysis for Determining the Optimal Path using PSO and GA
Looking for COVID-19 misinformation in multilingual social media texts
FlowCLAS: Enhancing Normalizing Flow Via Contrastive Learning For Anomaly Segmentation
Credibility-Aware Multi-Modal Fusion Using Probabilistic Circuits
Opportunities for machine learning in scientific discovery
Transferring Agent Behaviors from Videos via Motion GANs
A Locally Divergence-Free Oscillation-Eliminating Discontinuous Galerkin Method for Ideal Magnetohydrodynamic Equations
A 10-dimensional Phonetic-prosodic Space and its Stochastic Structure (A framework for probabilistic modeling of spoken languages and their phonology)
Accurate and generalizable protein-ligand binding affinity prediction with geometric deep learning
Multi-Loss Convolutional Network with Time-Frequency Attention for Speech Enhancement
Observability Conditions and Sensing Quality for Unicycle Systems with Constant External Forcing
VCVTS: Multi-speaker Video-to-Speech synthesis via cross-modal knowledge transfer from voice conversion
AI LEGO: Scaffolding Cross-Functional Collaboration in Industrial Responsible AI Practices during Early Design Stages
Doubly Stochastic Models: Learning with Unbiased Label Noises and Inference Stability
Causal Additive Models with Unobserved Causal Paths and Backdoor Paths
Behind the Curtain: How Shared Hosting Providers Respond to Vulnerability Notifications
Leveraging feature communication in federated learning for remote sensing image classification
Complementary Pseudo Labels For Unsupervised Domain Adaptation On Person Re-identification
A Complete Characterization of Bounded Motion Polynomials Admitting a Factorization with Linear Factors
Learning Sparse Representations Incrementally in Deep Reinforcement Learning
Deformable Medical Image Registration Using a Randomly-Initialized CNN as Regularization Prior
Tuning of Drone PD Controller Parameters for Medical Supplies Delivery
A Survey on Retrieval-Augmented Text Generation
Rethinking Streaming Machine Learning Evaluation
LTLf Synthesis under Partial Observability: From Theory to Practice
Sampling-based verification of Lyapunov's inequality for piecewise continuous nonlinear systems
LooperGP: A Loopable Sequence Model for Live Coding Performance using GuitarPro Tablature
Breaking Fitness Records without Moving: Reverse Engineering and Spoofing Fitbit
Nonparametric Empirical Bayes Estimation and Testing for Sparse and Heteroscedastic Signals
GASP - A Genetic Algorithm for State Preparation
Blindfolded Spider-man Optimization: A Single-Point Metaheuristics Suitable for Continuous and Discrete Spaces
Multiple-View Spectral Clustering for Group-wise Functional Community Detection
When A Man Says He Is Pregnant: ERP Evidence for A Rational Account of Speaker-contextualized Language Comprehension
Crafting Large Language Models for Enhanced Interpretability
Query Combinators
Topics in the Study of the Pragmatic Functions of Phonetic Reduction in Dialog
Geometry-Aware Losses for Structure-Preserving Text-to-Sign Language Generation
STEP: Stochastic Traversability Evaluation and Planning for Safe Off-road Navigation
Coverage Games for Testing Nondeterministic Systems
Mitigating Embedding Collapse in Diffusion Models for Categorical Data
Enhancement of 3D Gaussian Splatting using Raw Mesh for Photorealistic Recreation of Architectures
Clustering of graph vertex subset via Krylov subspace model reduction
A Shapley Value Solution to Game Theoretic-based Feature Reduction in False Alarm Detection
Deep metric learning using Triplet network
User Perceptions and Attitudes Toward Untraceability in Messaging Platforms
Reinforcement Learning for Solving the Pricing Problem in Column Generation: Applications to Vehicle Routing
Innocent strategies as presheaves and interactive equivalences for CCS
fMRI-LM: Towards a Universal Foundation Model for Language-Aligned fMRI Understanding
Dynamic Cat Swarm Optimization Algorithm for Backboard Wiring Problem
EventVL: Understand Event Streams via Multimodal Large Language Model
What Went Wrong? Explaining Overall Dialogue Quality through Utterance-Level Impacts
A Hybrid Multilayer Extreme Learning Machine for Image Classification with an Application to Quadcopters
Boosting Adversarial Robustness using Feature Level Stochastic Smoothing
Explicit Diversity Conditions for Effective Question Answer Generation with Large Language Models
Regulating Reward Training by Means of Certainty Prediction in a Neural Network-Implemented Pong Game
AdaTerm: Adaptive T-Distribution Estimated Robust Moments towards Noise-Robust Stochastic Gradient Optimizer
Morphometry-Based Longitudinal Neurodegeneration Simulation with MR Imaging
One-Step Residual Shifting Diffusion for Image Super-Resolution via Distillation
Distilled Pooling Transformer Encoder for Efficient Realistic Image Dehazing