yusuke1997/dblp-id-title huggingface dataset:
Layer-wise Noise Guided Selective Wavelet Reconstruction for Robust Medical Image Segmentation
Addressing Imbalance Risk with Reserves and Flexibility Options: An ERCOT-like Case Study
A Bayesian algorithm for retrosynthesis
UniRL-Zero: Reinforcement Learning on Unified Models with Joint Language Model and Diffusion Model Experts
Comparing Exploratory Graphical Analyses and Unique Variable Analysis to Other Dimension Reduction Methods On Machine Learning Algorithms
Cooperative Game Theoretic Solution Concepts for top-$k$ Problems
Skin Lesion Segmentation: U-Nets versus Clustering
Depth Information Guided Crowd Counting for Complex Crowd Scenes
Adaptive Approach Phase Guidance for a Hypersonic Glider via Reinforcement Meta Learning
Winds of Change: Impact of COVID-19 on Vaccine-related Opinions of Twitter users
Data-Driven Model Identification of Unbalanced Induction Motor Dynamics and Forces using SINDYc
Metal artifact correction in cone beam computed tomography using synthetic X-ray data
Stochastic Implicit Natural Gradient for Black-box Optimization
Multifractal hopscotch in "Hopscotch" by Julio Cortazar
Attentive fine-tuning of Transformers for Translation of low-resourced languages @LoResMT 2021
Multi-objective Feature Selection with Missing Data in Classification
Dataset Creation and Baseline Models for Sexism Detection in Hausa
Learning-based Estimation of Forward Kinematics for an Orthotic Parallel Robotic Mechanism
Determination of subject-specific muscle fatigue rates under static fatiguing operations
Distributed Quantum Neural Networks via Partitioned Features Encoding
Improving Missing Data Imputation with Deep Generative Models
The Little W-Net That Could: State-of-the-Art Retinal Vessel Segmentation with Minimalistic Models
Fake News Detection in Social Media using Graph Neural Networks and NLP Techniques: A COVID-19 Use-case
Measuring Complexity through Average Symmetry
Learning to Run challenge solutions: Adapting reinforcement learning methods for neuromusculoskeletal environments
Automatic re-calibration of quantum devices by reinforcement learning
Modelling the Dynamics of the Work-Employment System by Predator-Prey Interactions
DiAMoNDBack: Diffusion-denoising Autoregressive Model for Non-Deterministic Backmapping of Cα Protein Traces
EvalTree: Profiling Language Model Weaknesses via Hierarchical Capability Trees
Multi-level Geometric Optimization for Regularised Constrained Linear Inverse Problems
Probabilistic Stability Guarantees for Feature Attributions
Sockeye: a language for analyzing hardware documentation
MicroRoboScope: A Portable and Integrated Mechatronic Platform for Magnetic and Acoustic Microrobotic Experimentation
Modeling and Analysis of Content Caching in Wireless Small Cell Networks
SREFI: Synthesis of Realistic Example Face Images
Monoid Theory in Alonzo: A Little Theories Formalization in Simple Type Theory
CTDGM: A Data Grouping Model Based on Cache Transaction for Unstructured Data Storage Systems
DiffPatch: Generating Customizable Adversarial Patches using Diffusion Model
A Comprehensive Review of Image Enhancement Techniques
Multiple Time Series Fusion Based on LSTM An Application to CAP A Phase Classification Using EEG
Reduction of the graph isomorphism problem to equality checking of $n$-variables polynomials and the algorithms that use the reduction
Galaxy Era: Agent-based Simulation of Execution Tickets
Multimodal Data Integration for Precision Oncology: Challenges and Future Directions
Multi-fidelity Parameter Estimation Using Conditional Diffusion Models
TranSegPGD: Improving Transferability of Adversarial Examples on Semantic Segmentation
Controlled Agentic Planning & Reasoning for Mechanism Synthesis
Tree-Mamba: A Tree-Aware Mamba for Underwater Monocular Depth Estimation
Thermal-LiDAR Fusion for Robust Tunnel Localization in GNSS-Denied and Low-Visibility Conditions
Decentralized Federated Learning with Asynchronous Parameter Sharing for Large-scale IoT Networks
Energy Efficient Knapsack Optimization Using Probabilistic Memristor Crossbars
Prospects for non-linear memristors as so-far missing core hardware element for transferless data computing and storage
HugSense: Exploring the Sensing Capabilities of Inflatables
Tolerance and degrees of truth
Using Language Models for Enhancing the Completeness of Natural-language Requirements
Inferring hierarchical structure of spatial and generic complex networks through a modeling framework
Random Relabeling for Efficient Machine Unlearning
Adaptive-LIO: Enhancing Robustness and Precision through Environmental Adaptation in LiDAR Inertial Odometry
Accelerating Primal-dual Methods for Regularized Markov Decision Processes
Soft Concept Analysis
A Masked Pruning Approach for Dimensionality Reduction in Communication-Efficient Federated Learning Systems
More-efficient Quantum Multivariate Mean Value Estimator from Generalized Grover Gate
Hardware-agnostic Computation for Large-scale Knowledge Graph Embeddings
Phenotyping Endometriosis through Mixed Membership Models of Self-Tracking Data
Asymptotic numerical hypocoercivity of the space-time discontinuous Galerkin method for Kolmogorov equation
Wireless sensor networks localization algorithms: a comprehensive survey
Stroke-based Character Recognition with Deep Reinforcement Learning
Strategic Innovation Management in the Age of Large Language Models Market Intelligence, Adaptive R&D, and Ethical Governance
Partial-differential-algebraic equations of nonlinear dynamics by Physics-Informed Neural-Network: (I) Operator splitting and framework assessment
Fixed Point Constructions in Tilings and Cellular Automata
Data-Driven Forecasting of High-Dimensional Transient and Stationary Processes via Space-Time Projection
Bandwidth Allocation Games
Crowdsourcing Information Extraction for Biomedical Systematic Reviews
Information Flow Decomposition in Feedback Systems: Linear Time-Invariant Systems with Gaussian Channels
Enterprise Large Language Model Evaluation Benchmark
Structure from Motion for Panorama-Style Videos
Potential Applications of Artificial Intelligence for Cross-language Intelligibility Assessment of Dysarthric Speech
Bregman Centroid Guided Cross-Entropy Method
Space-efficient Algorithms for Visibility Problems in Simple Polygon
Algorithms for discovering and proving theorems about permutation patterns
Hybrid Aerial-Ground Vehicle Autonomy in GPS-denied Environments
Fairness-Aware Low-Rank Adaptation Under Demographic Privacy Constraints
Learning Graph Augmentations to Learn Graph Representations
Is Information Extraction Solved by ChatGPT? An Analysis of Performance, Evaluation Criteria, Robustness and Errors
Dance Any Beat: Blending Beats with Visuals in Dance Video Generation
A Bayesian Account of Measures of Interpretability in Human-AI Interaction
BRF: eBPF Runtime Fuzzer
Quantum space, ground space traversal, and how to embed multi-prover interactive proofs into unentanglement
Identification of Audio Recording Devices From Background Noise
Newton's method for nonlinear mappings into vector bundles
Fast on the Easy, Deep on the Hard: Efficient Reasoning via Powered Length Penalty
Multi-Point Proximity Encoding For Vector-Mode Geospatial Machine Learning
FAIR: Fuzzy-based Aggregation providing In-network Resilience for real-time Wireless Sensor Networks
Efficient Detection of Complex Event Patterns Using Lazy Chain Automata
Further progress towards Hadwiger's conjecture
Gradual Learning of Deep Recurrent Neural Networks
Non-rigid Object Tracking via Deep Multi-scale Spatial-Temporal Discriminative Saliency Maps
Topological Similarity of Random Cell Complexes and Applications to Dislocation Configurations
Towards Secure and Safe Appified Automated Vehicles
Efficient Multi-Agent Motion Planning in Continuous Workspaces Using Medial-Axis-Based Swap Graphs
An optimal linear separator for the Sonar Signals Classification task
Improving LLM Reasoning through Interpretable Role-Playing Steering
Hybrid tracker based optimal path tracking system for complex road environments for autonomous driving
Experimental Aspects of Synthesis
A Survey of Distributed Message Broker Queues
Blind Adaptive MIMO Receivers for CDMA Systems with Space-Time Block-Codes and Low-Cost Algorithms
Deep Neural Network Learning with Second-Order Optimizers - a Practical Study with a Stochastic Quasi-Gauss-Newton Method
Magnushammer: A Transformer-based Approach to Premise Selection
Finite difference method for inhomogeneous fractional Dirichlet problem
Adversarial Sample-Based Approach for Tighter Privacy Auditing in Final Model-Only Scenarios
Reproducing and Improving CheXNet: Deep Learning for Chest X-ray Disease Classification
Accurate Robotic Pouring for Serving Drinks
On the Mixing Time of Markov Chain Monte Carlo for Integer Least-Square Problems
mVideoCast: Mobile, real time ROI detection and streaming
Optimizing Force Signals from Human Demonstrations of In-Contact Motions
The 2-connected bottleneck Steiner network problem is NP-hard in any 𝓁 p plane
The Fairness of Machine Learning in Insurance: New Rags for an Old Man?
Breast mass classification in ultrasound based on Kendall's shape manifold
A Resolution Independent Neural Operator
Improving spatial cues for hearables using a parameterized binaural CDR estimator
MinerU2.5: A Decoupled Vision-Language Model for Efficient High-Resolution Document Parsing
Dissipative Stability Conditions for Linear Coupled Differential-Difference Systems via a Dynamical Constraints Approach
User Profiling for Recommendation System
Single-Step Latent Diffusion for Underwater Image Restoration
Non-rigid 3D Shape Registration using an Adaptive Template
Benchmarking Ethical and Safety Risks of Healthcare LLMs in China-Toward Systemic Governance under Healthy China 2030
CALPA-NET: Channel-pruning-assisted Deep Residual Network for Steganalysis of Digital Images
CBPNet: A Continual Backpropagation Prompt Network for Alleviating Plasticity Loss on Edge Devices
ROS and Buzz: consensus-based behaviors for heterogeneous teams
Optimal Boost Design for Auto-bidding Mechanism with Publisher Quality Constraints
Neural Galerkin Scheme with Active Learning for High-Dimensional Evolution Equations
Medical Image Enhancement Using Histogram Processing and Feature Extraction for Cancer Classification
Pose Neural Fabrics Search
ChemGymRL: An Interactive Framework for Reinforcement Learning for Digital Chemistry
PINEAPPLE: Personifying INanimate Entities by Acquiring Parallel Personification data for Learning Enhanced generation
Mirage: Model-Agnostic Graph Distillation for Graph Classification
Deterministic gathering of anonymous agents in arbitrary networks
Mutual Support by Sensor-Attacker Team for a Passive Target
Inductive Predicate Synthesis Modulo Programs (Extended)
Improved Approximation for the Number of Hamiltonian Cycles in Dense Digraphs
Intent-Interest Disentanglement and Item-Aware Intent Contrastive Learning for Sequential Recommendation
Exploring State Space and Reasoning by Elimination in Tsetlin Machines
Multiple-Input Multiple-Output Gaussian Broadcast Channels with Common and Confidential Messages
DualAttNet: Synergistic Fusion of Image-level and Fine-Grained Disease Attention for Multi-Label Lesion Detection in Chest X-rays
Impact Remediation: Optimal Interventions to Reduce Inequality
A Trilogy of AI Safety Frameworks: Paths from Facts and Knowledge Gaps to Reliable Predictions and New Knowledge
Finding the Muses: Identifying Coresets through Loss Trajectories
CHASE: 3D-Consistent Human Avatars with Sparse Inputs via Gaussian Splatting and Contrastive Learning
Backward difference formula: The energy technique for subdiffusion equation
Differentiable Particle Optimization for Fast Sequential Manipulation
Scale-Free Opportunistic Networks: is it Possible?
A Rank Minrelation - Majrelation Coefficient
Bridging the Gap between Newton-Raphson Method and Regularized Policy Iteration
Towards a Zero-One Law for Entrywise Low Rank Approximation
An ACCL which is not a CRCL
Beam-tracing domain decomposition method for urban acoustic pollution
To Stir or Not to Stir: Online Estimation of Liquid Properties for Pouring Actions
An Efficiency-boosting Client Selection Scheme for Federated Learning with Fairness Guarantee
Feature-Based Interpretable Surrogates for Optimization
Approximate Bayesian Inference on Mechanisms of Network Growth and Evolution
Deterministic Trajectory Optimization through Probabilistic Optimal Control
The Complex Community Structure of the Bitcoin Address Correspondence Network
Towards Anthropo-inspired Computational Systems: the $P^3$ Model
Universal Regular Autonomous Asynchronous Systems: Fixed Points, Equivalencies and Dynamic Bifurcations
Compositional Learning of Visually-Grounded Concepts Using Reinforcement
Introducing Vision Transformer for Alzheimer's Disease classification task with 3D input
An Agile Adaptation Method for Multi-mode Vehicle Communication Networks
Homotopy techniques for analytic combinatorics in several variables
AM-SAM: Automated Prompting and Mask Calibration for Segment Anything Model
Iso-Riemannian Optimization on Learned Data Manifolds
A Study of Experiment-based Radio Frequency Electromagnetic Field Exposure Evidence on Stochastic Nature of A Massive MIMO System
Brain-inspired analogical mixture prototypes for few-shot class-incremental learning
Finding Counterexamples of Temporal Logic properties in Software Implementations via Greybox Fuzzing
About Weighted Random Sampling in Preferential Attachment Models
Pre-allocation Strategies of Computational Resources in Cloud Computing using Adaptive Resonance Theory-2
Probabilistic sequential matrix factorization
Modal Decomposition of the Linear Swing Equation in Networks with Symmetries
Unilateral Antidotes to DNS Cache Poisoning
Bilateral Network with Residual U-blocks and Dual-Guided Attention for Real-time Semantic Segmentation
VNT-Net: Rotational Invariant Vector Neuron Transformers
Distributed Dominating Sets on Grids
Instance Generation for Meta-Black-Box Optimization through Latent Space Reverse Engineering
Automatic Detection of Performance Anomalies in Task-Parallel Programs
Toward Continual Learning for Conversational Agents
MEV Ecosystem Evolution From Ethereum 1.0
Unconditionally stable schemes for non-stationary convection-diffusion equations
GoalsEye: Learning High Speed Precision Table Tennis on a Physical Robot
Equation Parsing: Mapping Sentences to Grounded Equations
Efficient Sum-Based Hierarchical Smoothing Under \ell_1-Norm
Open-vocabulary vs. Closed-set: Best Practice for Few-shot Object Detection Considering Text Describability
Investigating minimizing the training set fill distance in machine learning regression
The Missing Link: Finding label relations across datasets
Probabilistic Neural Network with Complex Exponential Activation Functions in Image Recognition using Deep Learning Framework
DyST-XL: Dynamic Layout Planning and Content Control for Compositional Text-to-Video Generation
Mathematical basis for polySAT implication operator
Nurses as agents for achieving Environmentally Sustainable Health Systems: A bibliometric analysis
Realistic Differentially-Private Transmission Power Flow Data Release
A modern look at the relationship between sharpness and generalization
Convolutional Neural Networks at Constrained Time Cost
Analyzing of MOS and Codec Selection for Voice over IP Technology
BreakNet: Discontinuity-Resilient Multi-Scale Transformer Segmentation of Retinal Layers
Substring Query Complexity of String Reconstruction
Exact Learning Dynamics of In-Context Learning in Linear Transformers and Its Application to Non-Linear Transformers
Rate-Distortion for Ranking with Incomplete Information
A Hybrid Approach to Finding Relevant Social Media Content for Complex Domain Specific Information Needs
Distilling Multilingual Vision-Language Models: When Smaller Models Stay Multilingual
On the randomized SVD in infinite dimensions
The Convergence Rate of Majority Vote under Exchangeability
Software-Defined Hyper-Cellular Architecture for Green and Elastic Wireless Access
Fully leafed induced subtrees
Leveraging Foundation Models via Knowledge Distillation in Multi-Object Tracking: Distilling DINOv2 Features to FairMOT
Two statements of the Duggan-Schwartz theorem
Reinforcement Learning Framework for Opportunistic Routing in WSNs
Adaptive mesh refinement on Cartesian meshes applied to the mixed finite element discretization of the multigroup neutron diffusion equations
Incremental Layer-wise Self-Supervised Learning for Efficient Speech Domain Adaptation On Device
Cryptography from Noisy Photonic Storage
ARTEMIS: Using GANs with Multiple Discriminators to Generate Art
On the choice of the non-trainable internal weights in random feature maps
Hybrid Physics-Machine Learning Models for Quantitative Electron Diffraction Refinements
SportsNGEN: Sustained Generation of Multi-player Sports Gameplay
UAV Images Dataset for Moving Object Detection from Moving Cameras
Joint Source-Channel Decoding of Polar Codes for Language-Based Source
Alignment-based Translations Across Formal Systems Using Interface Theories
Enhancing Clinical Trial Patient Matching through Knowledge Augmentation with Multi-Agents
Physics-Informed Deep Learning For Traffic State Estimation: A Survey and the Outlook
Stability Analysis using Quadratic Constraints for Systems with Neural Network Controllers
Self-stabilization of Circular Arrays of Automata
Multimodal vs. Unimodal Physiological Control in Videogames for Enhanced Realism and Depth
Social Media Analysis based on Semanticity of Streaming and Batch Data
A Federated Learning Framework for Privacy-preserving and Parallel Training
Unitary and anti-unitary quantum description of the classical not gate
Schemes of Propagation Models and Source Estimators for Rumor Source Detection in Online Social Networks: A Short Survey of a Decade of Research
Adaptive Inference: Theoretical Limits and Unexplored Opportunities
A Hypersensitive Breast Cancer Detector
An Efficient Security Mechanism for High-Integrity Wireless Sensor Networks
Artificial Conversations, Real Results: Fostering Language Detection with Synthetic Data
WoSNN: Stochastic Solver for PDEs with Machine Learning
State-Based Modeling of Buildings and Facilities
Enhancing the Reliability of LiDAR Point Cloud Sampling: A Colorization and Super-Resolution Approach Based on LiDAR-Generated Images
Mini-batch Metropolis-Hastings MCMC with Reversible SGLD Proposal
Stable Phase Retrieval: Optimal Rates in Poisson and Heavy-tailed Models
User Information Augmented Semantic Frame Parsing using Coarse-to-Fine Neural Networks
ChatHouseDiffusion: Prompt-Guided Generation and Editing of Floor Plans
Happy Travelers Take Big Pictures: A Psychological Study with Machine Learning and Big Data
AURA: An Agent Autonomy Risk Assessment Framework
Computational topology of graphs on surfaces
How to Setβ 1 , β 2 in Adam: An Online Learning Perspective
STRIDE: Sparse Techniques for Regression in Deep Gaussian Processes
Discriminative Adversarial Unlearning
Towards Robust Deep Learning with Ensemble Networks and Noisy Layers
DeCo-SGD: Joint Optimization of Delay Staleness and Gradient Compression Ratio for Distributed SGD
Human Activity Recognition Using LSTM-RNN Deep Neural Network Architecture
Anonymising Clinical Data for Secondary Use
ProvSQL: A General System for Keeping Track of the Provenance and Probability of Data
Efficient Certificate Management in VANET
Safety-Aware Learning-Based Control of Systems with Uncertainty Dependent Constraints (extended version)
A Novel Light Field Coding Scheme Based on Deep Belief Network and Weighted Binary Images for Additive Layered Displays
No Cords Attached: Coordination-Free Concurrent Lock-Free Queues
Distributed anonymous discrete function computation
High-quality Pseudo-labeling for Point Cloud Segmentation with Scene-level Annotation
The Rise of AI Companions: How Human-Chatbot Relationships Influence Well-Being
Unifying local and non-local signal processing with graph CNNs
Convergence analysis of one-point large deviations rate functions of numerical discretizations for stochastic wave equations with small noise
Towards Multimodal In-Context Learning for Vision & Language Models
Distributed Representation for Traditional Chinese Medicine Herb via Deep Learning Models
A universal approximation theorem for nonlinear resistive networks
Model-based generation of representative rear-end crash scenarios across the full severity range using pre-crash data
Beyond Text: A Deep Dive into Large Language Models' Ability on Understanding Graph Data
Exploiting Investors Social Network for Stock Prediction in China's Market
Videoprompter: an ensemble of foundational models for zero-shot video understanding
Error analysis for learning the time-stepping operator of evolutionary PDEs
Lie-algebraic connections between two classes of risk-sensitive performance criteria for linear quantum stochastic systems
Predicting trajectory behaviour via machine-learned invariant manifolds
VQEzy: An Open-Source Dataset for Parameter Initialization in Variational Quantum Eigensolvers
Lightweight learning from label proportions on satellite imagery
Transformers for molecular property prediction: Domain adaptation efficiently improves performance
MOTR: End-to-End Multiple-Object Tracking with TRansformer
TransTrack: Multiple-Object Tracking with Transformer
Data-Driven Joint Inversions for PDE Models
Disunited Nations? A Multiplex Network Approach to Detecting Preference Affinity Blocs using Texts and Votes
On Homotopy of Walks and Spherical Maps in Homotopy Type Theory
Implementation of Data Mining on a Secure Cloud Computing over a Web API using Supervised Machine Learning Algorithm
Integrating Per-Stream Stat Tracking into Accel-Sim
HS-CAI: A Hybrid DCOP Algorithm via Combining Search with Context-based Inference
Survey and Taxonomy: The Role of Data-Centric AI in Transformer-Based Time Series Forecasting
Did Sequence Dependent Geometry Influence the Evolution of the Genetic Code?
On the Decomposition of Forces
O2Former:Direction-Aware and Multi-Scale Query Enhancement for SAR Ship Instance Segmentation
Quantitative Multiscale Analysis using Different Wavelets in 1D Voice Signal and 2D Image
Grasp2Grasp: Vision-Based Dexterous Grasp Translation via Schrödinger Bridges
Operon: Incremental Construction of Ragged Data via Named Dimensions
The Vulnerability of the Neural Networks Against Adversarial Examples in Deep Learning Algorithms
End-to-End UAV Simulation for Visual SLAM and Navigation
A performance characteristic curve for model evaluation: the application in information diffusion prediction
Enumeration of parallelogram polycubes
Reinforcement Learning based Sequential Batch-sampling for Bayesian Optimal Experimental Design
Similarity of Pre-trained and Fine-tuned Representations
ConSept: Continual Semantic Segmentation via Adapter-based Vision Transformer
What makes a good data augmentation for few-shot unsupervised image anomaly detection?
Continuous indetermination and average likelihood minimization
The Effect of Block-wise Feedback on the Throughput-Delay Trade-off in Streaming
Modeling of Memory Mechanisms in Cerebral Cortex and Simulation of Storage Performance
Extracting resilience events from utility outage data based on overlapping times and locations
Detecting Manufacturing Defects in PCBs via Data-Centric Machine Learning on Solder Paste Inspection Features
Building test batteries based on analysing random number generator tests within the framework of algorithmic information theory
Update-tolerant and Revocable Password Backup (Extended Version)
Gamma convergence for a phase-field cohesive energy
Analysis and numerics of the propagation speed for hyperbolic reaction-diffusion models
Open-Reasoner-Zero: An Open Source Approach to Scaling Up Reinforcement Learning on the Base Model
A Data- and Task- Oriented Design Framework for Bivariate Communication of Uncertainty
SNIFF: Reverse Engineering of Neural Networks with Fault Attacks
Constraint Handling Rules with Multiset Comprehension Patterns
Solving PDE-constrained Control Problems using Operator Learning
Human Body Parts Tracking: Applications to Activity Recognition
Embedded out-of-distribution detection on an autonomous robot platform
Learning Dense Convolutional Embeddings for Semantic Segmentation