yusuke1997/dblp-id-title huggingface dataset:
Closed Form Expressions of the Nonlinear Interference for UWB Systems
Exploiting Diffusion Priors for All-in-One Image Restoration
Impact of Indentation in Programming
Deep Multi-Scale Resemblance Network for the Sub-class Differentiation of Adrenal Masses on Computed Tomography Images
Abdominal Undulation with Compliant Mechanism Improves Flight Performance of Biomimetic Robotic Butterfly
Quiet Feature Learning in Algorithmic Tasks
Matrix-LSTM: a Differentiable Recurrent Surface for Asynchronous Event-Based Data
Difficulty-Controllable Multiple-Choice Question Generation Using Large Language Models and Direct Preference Optimization
An Open-Source Integration of Process Mining Features into the Camunda Workflow Engine: Data Extraction and Challenges
Machine Learning and Vision Transformers for Thyroid Carcinoma Diagnosis: A review
Minimizing Ray Tracing Memory Traffic through Quantized Structures and Ray Stream Tracing
A Short Introduction to Local Graph Clustering Methods and Software
Knowledge Prompting for Few-shot Action Recognition
Hierarchical prosody modeling and control in non-autoregressive parallel neural TTS
Control Synthesis with Reinforcement Learning: A Modeling Perspective
Complexity of One-Dimensional ReLU DNNs
LaVIDE: A Language-Vision Discriminator for Detecting Changes in Satellite Image with Map References
Deep Built-Structure Counting in Satellite Imagery Using Attention Based Re-Weighting
A Type System Theory for Higher-Order Intensional Logic Support for Variable Bindings in Hybrid Intensional-Imperative Programs in GIPSY
Orthogonal polynomials on planar cubic curves
Towards Open-Ended Emotional Support Conversations in LLMs via Reinforcement Learning with Future-Oriented Rewards
Combining Static and Dynamic Approaches for Mining and Testing Constraints for RESTful API Testing
Visualizing Multiple Process Attributes in one 3D Process Representation
Pitfalls of Projection: A study of Newton-type solvers for incremental potentials
Subgrid multiscale stabilized finite element analysis of non-Newtonian Casson model fully coupled with Advection-Diffusion-Reaction equations
Constrained Feedforward Neural Network Training via Reachability Analysis
Hardware Software Co-design framework for Data Encryption in Image Processing Systems for the Internet of Things Environmen
Large Language Models Meet Virtual Cell: A Survey
Augmented Hard Example Mining for Generalizable Person Re-Identification
StarryGazer: Leveraging Monocular Depth Estimation Models for Domain-Agnostic Single Depth Image Completion
Robust Reinforcement Learning with Wasserstein Constraint
Predicting Events in MOBA Games: Dataset, Attribution, and Evaluation
Analysis and Control of a Planar Quadrotor
(SP) 2 -Net: A Neural Spatial Spectrum Method for DOA Estimation
A Tight Lower Bound on the Sub-Packetization Level of Optimal-Access MSR and MDS Codes
ORGaNICs: A Theory of Working Memory in Brains and Machines
Explicit Construction of Approximate Kolmogorov-Arnold Superpositions with C2-Smoothness
Amazing geometry of genetic space or are genetic algorithms convergent?
An equalised global graphical model-based approach for multi-camera object tracking
Generative Data Augmentation Improves Scribble-supervised Semantic Segmentation
Social Learning and Diffusion of Pervasive Goods: An Empirical Study of an African App Store
Overfitting Regimes of Nadaraya-Watson Interpolators
A Formalism and an Algorithm for Computing Pragmatic Inferences and Detecting Infelicities
Trajectory-dependent Generalization Bounds for Deep Neural Networks via Fractional Brownian Motion
Single Anchor Localization and Orientation Performance Limits using Massive Arrays: MIMO vs. Beamforming
Connectivity with uncertainty regions given as line segments
Routing Manifold Alignment Improves Generalization of Mixture-of-Experts LLMs
Exploring Security Practices of Smart Contract Developers
Concurrent multi-parameter learning demonstrated on the Kuramoto-Sivashinsky equation
Lectures on Jacques Herbrand as a Logician
UniMed-CLIP: Towards a Unified Image-Text Pretraining Paradigm for Diverse Medical Imaging Modalities
Adversarial Channels with O(1)-Bit Partial Feedback
Optimal Power Flow in Renewable-Integrated Power Systems: A Comprehensive Review
Perceptual Coding for Compressed Video Understanding: A New Framework and Benchmark
Analysis of Synchronization Mechanisms in Operating Systems
A Class of Countably Covered Two-Dimensional Sofic Shifts
TASTE: Temporal and Static Tensor Factorization for Phenotyping Electronic Health Records
PDNS-Net: A Large Heterogeneous Graph Benchmark Dataset of Network Resolutions for Graph Learning
On the System Theoretic Offline Learning of Continuous-Time LQR with Exogenous Disturbances
ROI-based Deep Image Compression with Implicit Bit Allocation
Interpolation with the polynomial kernels
Parallel Tempering for the planted clique problem
Gravity-aligned Rotation Averaging with Circular Regression
A hybrid global local computational framework for ship hull structural analysis using homogenized model and graph neural network
Evaluating the Pre-Dressing Step: Unfolding Medical Garments Via Imitation Learning
CCBlock: An Effective Use of Deep Learning for Automatic Diagnosis of COVID-19 Using X-Ray Images
On-the-fly Approximation of Multivariate Total Variation Minimization
Manifold-Guided Sampling in Diffusion Models for Unbiased Image Generation
An Information-Spectrum Approach to the Capacity Region of General Interference Channel
GSAP-ERE: Fine-Grained Scholarly Entity and Relation Extraction Focused on Machine Learning
TikTok StitchGraph: Characterizing communication patterns on TikTok through a collection of interaction networks
Who Moved My Transaction? Uncovering Post-Transaction Auditability Vulnerabilities in Modern Super Apps
Large-scale Unsupervised Semantic Segmentation
Domain specialization: a post-training domain adaptation for Neural Machine Translation
We Choose to Go to Space: Agent-driven Human and Multi-Robot Collaboration in Microgravity
LLM aided semi-supervision for Extractive Dialog Summarization
DySK-Attn: A Framework for Efficient, Real-Time Knowledge Updating in Large Language Models via Dynamic Sparse Knowledge Attention
Accelerated Componentwise Gradient Boosting using Efficient Data Representation and Momentum-based Optimization
Attention Span For Personalisation
Channel-wise Influence: Estimating Data Influence for Multivariate Time Series
Novel definition and quantitative analysis of branch structure with topological data analysis
Same accuracy, twice as fast: continuous training surpasses retraining from scratch
Optimizing Hand Region Detection in MediaPipe Holistic Full-Body Pose Estimation to Improve Accuracy and Avoid Downstream Errors
Reconstruction of Gene Regulatory Networks usingMultiple Datasets
Estimating Stochastic Linear Combination of Non-linear Regressions Efficiently and Scalably
Linear complexity SimRank computation based on the iterative diagonal estimation
ATK: Automatic Task-driven Keypoint Selection for Robust Policy Learning
Speed-scaling with no Preemptions
Knowledge and skills requirements for the software design and testing of automotive applications
Automatic Transcription of Flamenco Singing from Polyphonic Music Recordings
Weak Memory Model Formalisms: Introduction and Survey
Grant-free Radio Access IoT Networks: Scalability Analysis in Coexistence Scenarios
Matching with Text Data: An Experimental Evaluation of Methods for Matching Documents and of Measuring Match Quality
PolyLM: An Open Source Polyglot Large Language Model
Machine Learning Classification of SDSS Transient Survey Images
A Correlation Maximization Approach for Cross Domain Co-Embeddings
Beam Squint Mitigation in Wideband Hybrid Beamformers: Full-TTD, Sparse-TTD, or Non-TTD?
Training Dynamics of Deep Network Linear Regions
Role Similarity Metric Based on Spanning Rooted Forest
Arrow Update Synthesis
Machine Learning Methods for Identifying Atrial Fibrillation Cases and Their Predictors in Patients With Hypertrophic Cardiomyopathy: The HCM-AF-Risk Model
An Image is Worth 16x16 Words, What is a Video Worth?
Adaptive Sampling Quasi-Newton Methods for Zeroth-Order Stochastic Optimization
Predicting Porosity, Permeability, and Tortuosity of Porous Media from Images by Deep Learning
Conjugate Gradient Acceleration of Non-Linear Smoothing Filters
VLEER: Vision and Language Embeddings for Explainable Whole Slide Image Representation
Is RIS-Aided Massive MIMO Promising with ZF Detectors and Imperfect CSI?
Privacy, Security, and Usability Tradeoffs of Telehealth from Practitioners' Perspectives
Towards Improving Generalization of Deep Networks via Consistent Normalization
A Diagrammatic Approach to Improve Computational Efficiency in Group Equivariant Neural Networks
MoE3D: Mixture of Experts meets Multi-Modal 3D Understanding
Modeling Penetration Testing with Reinforcement Learning Using Capture-the-Flag Challenges and Tabular Q-Learning
Stochastic Gradient Descent with Preconditioned Polyak Step-size
Equivariant vs. Invariant Layers: A Comparison of Backbone and Pooling for Point Cloud Classification
RL-based Variable Horizon Model Predictive Control of Multi-Robot Systems using Versatile On-Demand Collision Avoidance
Abstractions for AI-Based User Interfaces and Systems
FreeRet: MLLMs as Training-Free Retrievers
An Interpretable Model of Climate Change Using Correlative Learning
Defeasible Reasoning on Concepts
Artistic control over the glitch in AI-generated motion capture
The Battery-Discharge-Model: A Class of Stochastic Finite Automata to Simulate Multidimensional Continued Fraction Expansion
Modeling Transit in a Fully Integrated Agent-Based Framework: Methodology and Large-Scale Application
Repeated-root constacyclic codes of length 2ℓ m p n
Bidirectional Self-Normalizing Neural Networks
On the Relationship between k-Planar and k-Quasi Planar Graphs
Distributed component-level modeling and control of energy dynamics in electric power systems
SARF: Enhancing Stock Market Prediction with Sentiment-Augmented Random Forest
Long-time accuracy of ensemble Kalman filters for chaotic and machine-learned dynamical systems
Revisiting Concentration of Missing Mass
InDuDoNet+: A Model-Driven Interpretable Dual Domain Network for Metal Artifact Reduction in CT Images
Who Does What in Deep Learning? Multidimensional Game-Theoretic Attribution of Function of Neural Units
C-ITS bundling for integrated traffic management
InstantStyle-Plus: Style Transfer with Content-Preserving in Text-to-Image Generation
Efficiency and Cost Optimization of Dual Active Bridge Converter for 350kW DC Fast Chargers
On Optimum End-to-End Distortion in Wideband MIMO Systems
Utilizing RNN for Real-time Cryptocurrency Price Prediction and Trading Strategy Optimization
Graph Condensation via Eigenbasis Matching
Parallel Random Apollonian Networks
FICA: Faster Inner Convex Approximation of Chance Constrained Grid Dispatch with Decision-Coupled Uncertainty
On the Dynamics of Human Proximity for Data Diffusion in Ad-Hoc Networks
Robust Transceiver Design Based on Interference Alignment for Multi-User Multi-Cell MIMO Networks with Channel Uncertainty
Computing k-Centers On a Line
Early Detection of Breast Cancer using SVM Classifier Technique
MultiViz: An Analysis Benchmark for Visualizing and Understanding Multimodal Models
ICRA Roboethics Challenge 2023: Intelligent Disobedience in an Elderly Care Home
Repair for Distributed Storage Systems with Erasure Channels
Data Architecture for Digital Object Space Management Service (DOSM) using DAT
Robust Trajectory Optimization over Uncertain Terrain with Stochastic Complementarity
Tensor Canonical Correlation Analysis
Protocol channels as a new design alternative of covert channels
Appearance Blur-driven AutoEncoder and Motion-guided Memory Module for Video Anomaly Detection
MonkeyOCR v1.5 Technical Report: Unlocking Robust Document Parsing for Complex Patterns
ViewAL: Active Learning with Viewpoint Entropy for Semantic Segmentation
Local Stackelberg equilibrium seeking in generalized aggregative games
Automated Detection and Counting of Windows using UAV Imagery based Remote Sensing
Optimal Power Allocation in Uplink NOMA with Simultaneous Cache-Enabled D2D Communications
k -Inductive and Interpolation-Inspired Barrier Certificates for Stochastic Dynamical Systems
Temporal Characterization of VR Traffic for Network Slicing Requirement Definition
Algorithms for High-Performance Networking in the Presence of Obstacles
Revealing Language Model Trajectories via Kullback-Leibler Divergence
Three-dimensional SPH modeling of brittle fracture under hydrodynamic loading
Improved Online Square-into-Square Packing
A novel scheme for binarization of vehicle images using hierarchical histogram equalization technique
Meta-analysis of Life Cycle Assessments for Li-Ion Batteries Production Emissions
Power Series Solutions of Singular (q)-Differential Equations
SPIO: Ensemble and Selective Strategies via LLM-Based Multi-Agent Planning in Automated Data Science
Describing weighted safety with weighted LTL over product ω-valuation monoids
Learning Low Rank Matrices from O(n) Entries
The best defense is a good offense: Countering black box attacks by predicting slightly wrong labels
The Role of Rural Banks in Providing Mobile Money Services to Rural Poor Communities: An effective integration approach of Rural Banks and existing mobile communications infrastructure
Generalized Neighbor Search using Commodity Hardware Acceleration
Relaxing Relationship Queries on Graph Data
Integer Factorisation, Fermat & Machine Learning on a Classical Computer
General expression for component-size distribution in infinite configuration networks
Greedy Multi-Channel Neighbor Discovery
Analysis of a tensor POD-ROM for parameter dependent parabolic problems
Variable Instruction Fetch Rate to Reduce Control Dependent Penalties
JailbreakEval: An Integrated Toolkit for Evaluating Jailbreak Attempts Against Large Language Models
Improving probability selecting based weights for Satisfiability Problem
Generalised Medical Phrase Grounding
Multiscale global sensitivity analysis for stochastic chemical systems
AI Mathematician as a Partner in Advancing Mathematical Discovery - A Case Study in Homogenization Theory
More declarative tabling in Prolog using multi-prompt delimited control
Generating Phishing Attacks using ChatGPT
Multi-Label Zero-Shot Learning with Transfer-Aware Label Embedding Projection
Average-Over-Time Spiking Neural Networks for Uncertainty Estimation in Regression
Stochastic Gradient Descent outperforms Gradient Descent in recovering a high-dimensional signal in a glassy energy landscape
Incorporating Flexible Image Conditioning into Text-to-Video Diffusion Models without Training
Privacy-Utility-Bias Trade-offs for Privacy-Preserving Recommender Systems
Towards Robust Aspect-based Sentiment Analysis through Non-counterfactual Augmentations
Rigorous Analytic Combinatorics in Several Variables in SageMath
Bilinear Quadratic Output Systems and Balanced Truncation
Characterizing TCP's Performance for Low-Priority Flows Inside a Cloud
Approaches, Challenges and Future Direction of Image Retrieval
Duality on the Thermodynamics of the Kirchhoff-Law-Johnson-Noise (KLJN) Secure Key Exchange Scheme
Data Smells in Public Datasets
Joint Linear and Nonlinear Computation across Functions for Efficient Privacy-Preserving Neural Network Inference
A Domain-Adapted Lightweight Ensemble for Resource-Efficient Few-Shot Plant Disease Classification
LiveView: Dynamic Target-Centered MPI for View Synthesis
Blockchain-enabled Resource Management and Sharing for 6G Communications
Target selection for Near-Earth Asteroids in-orbit sample collection missions
NtMalDetect: A Machine Learning Approach to Malware Detection Using Native API System Calls
The SMART+ Framework for AI Systems
On The Hidden Biases of Flow Matching Samplers
carps: A Framework for Comparing N Hyperparameter Optimizers on M Benchmarks
Perturbation centrality: a novel centrality measure obtained by the general network dynamics tool, Turbine
Developing and Maintaining an Open-Source Repository of AI Evaluations: Challenges and Insights
Voice Imitating Text-to-Speech Neural Networks
Cache Replacement Algorithm
Optimizing ViViT Training: Time and Memory Reduction for Action Recognition
Transfer Bayesian Meta-learning via Weighted Free Energy Minimization
Symbolically Scaffolded Play: Designing Role-Sensitive Prompts for Generative NPC Dialogue
Open-set Person Re-identification
A Comprehensive Survey on Diffusion Models and Their Applications
Dynamicity and Durability in Scalable Visual Instance Search
Spiking Neural Networks for Detecting Satellite-Based Internet-of-Things Signals
Risk-Sensitive Optimal Control of Queues
Let the Flows Tell: Solving Graph Combinatorial Optimization Problems with GFlowNets
Influence Functions for Edge Edits in Non-Convex Graph Neural Networks
Accelerating Machine Learning Training Time for Limit Order Book Prediction
Revisiting AdaBoost for Cost-Sensitive Classification. Part I: Theoretical Perspective
Virtual Reality Lensing for Surface Approximation in Feature-driven Volume Visualization
Adaptive feature recombination and recalibration for semantic segmentation: application to brain tumor segmentation in MRI
Interpersonal Memory Matters: A New Task for Proactive Dialogue Utilizing Conversational History
Analysis of classifiers robust to noisy labels
Time Window Frechet and Metric-Based Edit Distance for Passively Collected Trajectories
Approximating Dispatchable Regions in Three-Phase Radial Networks with Conditions for Exact SDP Relaxation
Decomposition of Multi-controlled Special Unitary Single-Qubit Gates
DL-EWF: Deep Learning Empowering Women's Fashion with Grounded-Segment-Anything Segmentation for Body Shape Classification
Evaluating the impact of different types of crossover and selection methods on the convergence of 0/1 Knapsack using Genetic Algorithm
A Flexible Thread Scheduler for Hierarchical Multiprocessor Machines
Modified Hybrid A* Collision-Free Path-Planning for Automated Reverse Parking
Saccadic Vision for Fine-Grained Visual Classification
Phase-fraction guided denoising diffusion model for augmenting multiphase steel microstructure segmentation via micrograph image-mask pair synthesis
Longitudinal Variability Analysis on Low-dose Abdominal CT with Deep Learning-based Segmentation
An information-theoretic analog of a result of Perelman
On the Weakness of Fully Homomorphic Encryption
ARENA: Adaptive Risk-aware and Energy-efficient NAvigation for Multi-Objective 3D Infrastructure Inspection with a UAV
Approximate FW Algorithm with a novel DMO method over Graph-structured Support Set
Hidden Convexity of Fair PCA and Fast Solver via Eigenvalue Optimization
Scaling Game-Theoretic Security Reasoning
Behavioural analysis of interaction between individuals and a robot in the window (cAESAR2023 workshop)
Dataset for anomalies detection in 3D printing
Adversarial Collaboration: Joint Unsupervised Learning of Depth, Camera Motion, Optical Flow and Motion Segmentation
Sliding down the stairs: how correlated latent variables accelerate learning with neural networks
Memory Constrained Dynamic Subnetwork Update for Transfer Learning
Robotic Process Automation as a Driver for Sustainable Innovation and Entrepreneurship
Heterogeneous quantization regularizes spiking neural network activity
Zen: Near-Optimal Sparse Tensor Synchronization for Distributed DNN Training
How to decay your learning rate
Energy Efficiency Maximization for C-RANs: Discrete Monotonic Optimization, Penalty, and l0-Approximation Methods
Understanding The Role of Magnetic and Magneto-Quasistatic Fields in Human Body Communication
WarpGAN: Warping-Guided 3D GAN Inversion with Style-Based Novel View Inpainting
Anti-Sensing: Defense against Unauthorized Radar-based Human Vital Sign Sensing with Physically Realizable Wearable Oscillators
Gaussian Noise is Nearly Instance Optimal for Private Unbiased Mean Estimation
On the Hardness of S|LWE〉 with Gaussian and Other Amplitudes
Fused Angles: A Representation of Body Orientation for Balance
A least squares finite element method for backward parabolic problems
FRoundation: Are Foundation Models Ready for Face Recognition?
Segmentation of fundus vascular images based on a dual-attention mechanism
Grounded in Reality: Learning and Deploying Proactive LLM from Offline Logs
Assessing Adversarial Robustness of Large Language Models: An Empirical Study
DMDSpeech: Distilled Diffusion Model Surpassing The Teacher in Zero-shot Speech Synthesis via Direct Metric Optimization
Interpreting Complex Regression Models
Interpretable Spatio-Temporal Features Extraction based Industrial Process Modeling and Monitoring by Soft Sensor
Multiagent trajectory models via game theory and implicit layer-based learning
Prefetcher-based DRAM Architecture
Weighting by Tying: A New Approach to Weighted Rank Correlation
Automatically Identifying Semantic Bias in Crowdsourced Natural Language Inference Datasets
2 Notes on Classes with Vapnik-Chervonenkis Dimension 1
On Lower Complexity Bounds for Large-Scale Smooth Convex Optimization
New infinite families of near MDS codes holding $t$-designs and optimal locally recoverable codes
To Split or Not to Split: The Impact of Disparate Treatment in Classification
Trilevel Scheduling Model Considering Residential Demand Flexibility of Aggregated HVACs and EVs under Distribution LMP
Design and Implementation of the End System to Intermediate System (ES-IS) Routing Information Exchange Protocol as a Loadable Kernel Module in Linux Kernel 2.6
Binary extended formulations and sequential convexification
Spline-FRIDA: Towards Diverse, Humanlike Robot Painting Styles with a Sample-Efficient, Differentiable Brush Stroke Model
Subjective intelligibility of speech sounds enhanced by ideal ratio mask via crowdsourced remote experiments with effective data screening
Automatic calibration of damping layers in finite element time domain simulations
Generating transition states of chemical reactions via distance-geometry-based flow matching
From User Interface to Agent Interface: Efficiency Optimization of UI Representations for LLM Agents
Serialisable Multi-Level Transaction Control: A Specification and Verification
Comment on "Politicizing science funding undermines public trust in science, academic freedom, and the unbiased generation of knowledge"
ACO-tagger: A Novel Method for Part-of-Speech Tagging using Ant Colony Optimization
An Optimal Alignment-Driven Iterative Closed-Loop Convergence Framework for High-Performance Ultra-Large Scale Layout Pattern Clustering
Model X-Ray: Detection of Hidden Malware in AI Model Weights using Few Shot Learning
Automatic defect segmentation by unsupervised anomaly learning
Enhancing Coexistence in the Unlicensed Band with Massive MIMO
Finding Missed Code Size Optimizations in Compilers using LLMs
Tuning for Tissue Image Segmentation Workflows for Accuracy and Performance
A Virtual Reality Game to Improve Physical and Cognitive Acuity
On the performance of a cavity method based algorithm for the Prize-Collecting Steiner Tree Problem on graphs
Social determinants of content selection in the age of (mis)information
Gaussian Processes and Statistical Decision-making in Non-Euclidean Spaces
A Survey on Evaluating Large Language Models in Code Generation Tasks
Hyper-Sphere Quantization: Communication-Efficient SGD for Federated Learning
Locality of Random Digraphs on Expanders
Enhanced Vascular Flow Simulations in Aortic Aneurysm via Physics-Informed Neural Networks and Deep Operator Networks
Network Intrusion Datasets: A Survey, Limitations, and Recommendations
Robust Detection of Biasing Attacks on Misappropriated Distributed Observers via Decentralized $H_\infty$ synthesis
Learning a distance measure from the information-estimation geometry of data
API Agents vs. GUI Agents: Divergence and Convergence
A new algorithm for graph center computation and graph partitioning according to the distance to the center
PINN-based viscosity solution of HJB equation
Certified Adversarial Defenses Meet Out-of-Distribution Corruptions: Benchmarking Robustness and Simple Baselines
Towards Disaggregating the SDN Control Plane
S-RL Toolbox: Environments, Datasets and Evaluation Metrics for State Representation Learning