yusuke1997/dblp-id-title huggingface dataset:
StatAssist & GradBoost: A Study on Optimal INT8 Quantization-aware Training from Scratch
Estimation of Covariance Matrices for Portfolio Optimization using Gaussian Processes
Training Aware Sigmoidal Optimizer
Towards a Semantic Characterisation of Global Type Well-formedness
A Computational Framework for Modeling Complex Sensor Network Data Using Graph Signal Processing and Graph Neural Networks in Structural Health Monitoring
DPCN: Towards Deadline-aware Payment Channel Networks
KCRC-LCD: Discriminative Kernel Collaborative Representation with Locality Constrained Dictionary for Visual Categorization
Enhancing the Spatio-temporal Observability of Grid-Edge Resources in Distribution Grids
An energy stable and conservative multiplicative dynamical low-rank discretization for the Su-Olson problem
Evaluation of the Energy Consumption of a Mobile Robotic Platform for Sustainable 6G Networks
Enhancing Cross-task Transfer of Large Language Models via Activation Steering
A.Q.M.E.I.S.: Air Quality Meteorological and Enviromental Information System in Western Macedonia, Hellas
Discretized Linear Regression and Multiclass Support Vector Based Air Pollution Forecasting Technique
Digital Forensics Domain and Metamodeling Development Approaches
Violation Probabilities of AoI and PAoI and Optimal Arrival Rate Allocation for the IoT-based Multi-Source Status Update System
Some structural complexity results for ∃ℝ
Timestamp-Supervised Action Segmentation in the Perspective of Clustering
Optimal sampling and Christoffel functions on general domains
Leveraging Evolutionary Search to Discover Self-Adaptive and Self-Organizing Cellular Automata
PREBA: A Hardware/Software Co-Design for Multi-Instance GPU based AI Inference Servers
Cost-aware Generalized α-investing for Multiple Hypothesis Testing
Efficient Surfel Fusion Using Normalised Information Distance
Biomedical text summarization using Conditional Generative Adversarial Network(CGAN)
SuperMVS: Non-Uniform Cost Volume For High-Resolution Multi-View Stereo
Perlustration on Mobile Forensics Tools
Truth, Justice, and Secrecy: Cake Cutting Under Privacy Constraints
GradINN: Gradient Informed Neural Network
A CPFSK Transceiver with Hybrid CSS-DSSS Spreading for LPWAN PHY Communication
On the Chen Conjecture regarding the complexity of QCSPs
Improvement Tracking Dynamic Programming using Replication Function for Continuous Sign Language Recognition
VideoLightFormer: Lightweight Action Recognition using Transformers
Wider: Scale Out Blockchain With Sharding by Account
A Trident Quaternion Framework for Inertial-based Navigation Part I: Rigid Motion Representation and Computation
Optimized Aaronson-Gottesman stabilizer circuit simulation through quantum circuit transformations
Virtual Encounters of the Haptic Kind: Towards a Multi-User VR System for Real-Time Social Touch
On acyclic b-chromatic number of cubic graphs
Experimental Evaluation of Parameterized Algorithms for Graph Separation Problems: Half-Integral Relaxations and Matroid-based Kernelization
An Adaptive Genetic Algorithm for Solving N-Queens Problem
Backpressure on the Backbone: A Lightweight, Non-intrusive Traffic Engineering Approach
TensAIR: Online Learning from Data Streams via Asynchronous Iterative Routing
Unsupervised Learning for security of Enterprise networks by micro-segmentation
The mathematics of Bitcoin
MixNN: Protection of Federated Learning Against Inference Attacks by Mixing Neural Network Layers
Analysis of Human-Body Blockage in Urban Millimeter-Wave Cellular Communications
Modelling Bahdanau Attention using Election methods aided by Q-Learning
Integrating Task-Specific and Universal Adapters for Pre-Trained Model-based Class-Incremental Learning
A Moving Mesh Method for Porous Medium Equation by the Onsager Variational Principle
Program-Aided Reasoners (better) Know What They Know
Power Control with QoS Guarantees: A Differentiable Projection-based Unsupervised Learning Framework
FDAPT: Federated Domain-adaptive Pre-training for Language Models
Balanced residuated partially ordered semigroups
Evaluation of Temporal Formulas Based on "Checking By Spheres"
A Lightweight Dual-Mode Optimization for Generative Face Video Coding
Adaptive Parameter Optimization For An Elliptic-Parabolic System Using The Reduced-Basis Method With Hierarchical A-Posteriori Error Analysis
Dynamics of a Family of Rational Operators of Arbitrary Degree
Ankh3: Multi-Task Pretraining with Sequence Denoising and Completion Enhances Protein Representations
BPDS: A Blockchain based Privacy-Preserving Data Sharing for Electronic Medical Records
MedBlindTuner: Towards Privacy-preserving Fine-tuning on Biomedical Images with Transformers and Fully Homomorphic Encryption
Is Generative Modeling-based Stylization Necessary for Domain Adaptation in Regression Tasks?
Pseudo-finiteness of arbitrary graphs of bounded shrub-depth
EvMAPPER: High Altitude Orthomapping with Event Cameras
A Deep Neural Network Deployment Based on Resistive Memory Accelerator Simulation
Digitization of Pathology Labs: A Review of Lessons Learned
On the Linguistic Capacity of Real-Time Counter Automata
Combining Reinforcement Learning and Configuration Checking for Maximum k-plex Problem
How the nature of web services drives vocabulary creation in social tagging
A Method for Reducing the Severity of Epidemics by Allocating Vaccines According to Centrality
Deep3DPose: Realtime Reconstruction of Arbitrarily Posed Human Bodies from Single RGB Images
An Optimized H5 Hysteresis Current Control with Clamped Diodes in Transformer-less Grid-PV Inverter
FREYR: A Framework for Recognizing and Executing Your Requests
Open, Closed, and Shared Access Femtocells in the Downlink
Recovering Zipf's law in intercontinental scientific collaboration
Deep Reinforcement Learning for Local Path Following of an Autonomous Formula SAE Vehicle
Age of Processing: Age-driven Status Sampling and Processing Offloading for Edge Computing-enabled Real-time IoT Applications
A hierarchical framework for object recognition
Classification of Smoking and Calling using Deep Learning
Pay Attention to Those Sets! Learning Quantification from Images
Weakly supervised image segmentation for defect-based grading of fresh produce
HelmSim: Learning Helmholtz Dynamics for Interpretable Fluid Simulation
Exploring the Evolution of Node Neighborhoods in Dynamic Networks
Dental CLAIRES: Contrastive LAnguage Image REtrieval Search for Dental Research
Poncelet Plectra: Harmonious Properties of Cosine Space
Holonomic Control of Arbitrary Configurations of Docked Modboats
Capturing Cognitive Aspects of Human Judgment
Federated Coordinate Descent for Privacy-Preserving Multiparty Linear Regression
A real-time warning system for rear-end collision based on random forest classifier
Learning Grasping Interaction with Geometry-aware 3D Representations
3+ Seat Risk-Limiting Audits for Single Transferable Vote Elections
PINNs error estimates for nonlinear equations in ℝ-smooth Banach spaces
Ask more, know better: Reinforce-Learned Prompt Questions for Decision Making with Large Language Models
DICE: Discrete inverse continuity equation for learning population dynamics
BS-Patch: Constrained Bezier Parametric Patch
Finding shortest non-separating and non-disconnecting paths
Invertible Kernel PCA with Random Fourier Features
Pretrained Diffusion Models Are Inherently Skipped-Step Samplers
Building an Effective Intrusion Detection System using Unsupervised Feature Selection in Multi-objective Optimization Framework
SACDNet: Towards Early Type 2 Diabetes Prediction with Uncertainty for Electronic Health Records
LayoutAgent: A Vision-Language Agent Guided Compositional Diffusion for Spatial Layout Planning
Detectability of small communities in multilayer and temporal networks: Eigenvector localization, layer aggregation, and time series discretization
Band-Attention Modulated RetNet for Face Forgery Detection
Adaptive Consensus Gradients Aggregation for Scaled Distributed Training
On the tubular eigenvalues of third-order tensors
Generative Artificial Intelligence Extracts Structure-Function Relationships from Plants for New Materials
On the reproducibility of discrete-event simulation studies in health research: an empirical study using open models
Deep-learning Optical Flow Outperforms PIV in Obtaining Velocity Fields from Active Nematics
A Swiss Pocket Knife for Computability
Challenges in interpretability of additive models
Neural Network Degeneration and its Relationship to the Brain
Efficient Forward-Only Data Valuation for Pretrained LLMs and VLMs
Understanding the temporal evolution of COVID-19 research through machine learning and natural language processing
Comparing Machine Learning Techniques for Alfalfa Biomass Yield Prediction
Collaborative Deep Learning Across Multiple Data Centers
Cg in Two Pages
Multi-task Reinforcement Learning with a Planning Quasi-Metric
Stochastic Trace and Diagonal Estimator for Tensors
Multi-view Data Visualisation via Manifold Learning
Learning and Composing Primitive Skills for Dual-arm Manipulation
Differentiable Vertex Fitting for Jet Flavour Tagging
QoS-aware Scheduling in 5G Wireless Base Stations
Formalizing Linear Motion G-code for Invariant Checking and Differential Testing of Fabrication Tools
Finite time max-consensus for simultaneous target interception in switching graph topologies
Adaptive Network Combination for Single-Image Reflection Removal: A Domain Generalization Perspective
Referenceless Quality Estimation for Natural Language Generation
Keyword Aware Influential Community Search in Large Attributed Graphs
Gearshift Fellowship: A Next-Generation Neurocomputational Game Platform to Model and Train Human-AI Adaptability
A reduced 3D-0D FSI model of the aortic valve including leaflets curvature
Universal Safety Controllers with Learned Prophecies
Quanvolutional Neural Networks for Pneumonia Detection: An Efficient Quantum-Assisted Feature Extraction Paradigm
SLIC in a defined mask with applications to medical imaging
A Multi-Stage Temporal Convolutional Network for Volleyball Jumps Classification Using a Waist-Mounted IMU
Trustworthy Semantic-Enabled 6G Communication: A Task-oriented and Privacy-preserving Perspective
Counterfactual Explanations via Latent Space Projection and Interpolation
A three-dimensional Hellinger-Reissner Virtual Element Method for linear elasticity problems
On the convergence and sampling of randomized primal-dual algorithms and their application to parallel MRI reconstruction
Zero-shot Learning with Class Description Regularization
Bayesian Model Averaging for Data Driven Decision Making when Causality is Partially Known
Consistent sets of lines with no colorful incidence
Contribution of task-irrelevant stimuli to drift of neural representations
Analytical Expression of the Expected Values of Capital at Voting in the Stochastic Environment
SwarmUpdate: Hierarchical Software Updates and Deep Learning Model Patching for Heterogeneous UAV Swarms
Noisy Node Classification by Bi-level Optimization based Multi-teacher Distillation
Are LLMs complicated ethical dilemma analyzers?
Embedding and Enriching Explicit Semantics for Visible-Infrared Person Re-Identification
Performance Evaluation of Security Protocols
A Simulation Tool for tccp Programs
An Analysis of Market-to-Market Coordination
Text Guide: Improving the quality of long text classification by a text selection method based on feature importance
New infinite families of p-ary weakly regular bent functions
Private Frequency Estimation Via Residue Number Systems
SVDE: Scalable Value-Decomposition Exploration for Cooperative Multi-Agent Reinforcement Learning
RIOT: a Novel Stochastic Method for Rapidly Configuring Cloud-Based Workflows
Defending against Reconstruction Attacks through Differentially Private Federated Learning for Classification of Heterogeneous Chest X-Ray Data
Depth Map Estimation for Free-Viewpoint Television
Deconstruct Complexity (DeComplex): A Novel Perspective on Tackling Dense Action Detection
Nonsymmetric multigrid preconditioning for conjugate gradient methods
Understanding and Reducing Crater Counting Errors in Citizen Science Data and the Need for Standardisation
Direct Uncertainty Quantification
Concept Unlearning in Large Language Models via Self-Constructed Knowledge Triplets
Impact of Data Snooping on Deep Learning Models for Locating Vulnerabilities in Lifted Code
Real-time Attention Span Tracking in Online Education
SANIA: Polyak-type Optimization Framework Leads to Scale Invariant Stochastic Algorithms
The Facebook Algorithm's Active Role in Climate Advertisement Delivery
Node Classification Meets Link Prediction on Knowledge Graphs
An Enhanced Approach to Cloud-based Privacy-preserving Benchmarking (Long Version)
Deep Research Agents: A Systematic Examination And Roadmap
Enhancing resilience of interdependent networks by healing
Few-shot Object Localization
Online Game with Time-Varying Coupled Inequality Constraints
Evaluating CBR Similarity Functions for BAM Switching in Networks with Dynamic Traffic Profile
A Robust, Task-Agnostic and Fully-Scalable Voxel Mapping System for Large Scale Environments
A Perceptual Distortion Reduction Framework for Adversarial Perturbation Generation
Integrative Factorization of Bidimensionally Linked Matrices
Language learning using Speech to Image retrieval
Improving Myocardial Infarction Detection via Synthetic ECG Pretraining
General-purpose Tagging of Freesound Audio with AudioSet Labels: Task Description, Dataset, and Baseline
Quadratic-time Algorithm for the String Constrained LCS Problem
Compressor-VLA: Instruction-Guided Visual Token Compression for Efficient Robotic Manipulation
Simulation of automata networks
Self-supervised Brain Lesion Generation for Effective Data Augmentation of Medical Images
Global decomposition of networks into multiple cores formed by local hubs
To tune or not to tune? An Approach for Recommending Important Hyperparameters
Bilevel Integrative Optimization for Ill-posed Inverse Problems
On Attitude Recovery of Spacecraft using Nonlinear Control
Time Distributed Deep Learning models for Purely Exogenous Forecasting. Application to Water Table Depth Prediction using Weather Image Time Series
How to train RNNs on chaotic data?
Parallel multilevel methods for solving the Darcy-Forchheimer model based on a nearly semicoercive formulation
Conformal Diffusion Models for Individual Treatment Effect Estimation and Inference
A new algebraic approach to the graph isomorphism and clique problems
Accuracy and Privacy Evaluations of Collaborative Data Analysis
Learning to Count Anything: Reference-less Class-agnostic Counting with Weak Supervision
Primary-Auxiliary Model Scheduling Based Estimation of the Vertical Wheel Force in a Full Vehicle System
Constraint-preserving hybrid finite element methods for Maxwell's equations
Exploring Accelerated Skill Acquisition via Tandem Training for Colonoscopy
AuxDet: Auxiliary Metadata Matters for Omni-Domain Infrared Small Target Detection
h2oGPT: Democratizing Large Language Models
Improving Reward-Conditioned Policies for Multi-Armed Bandits using Normalized Weight Functions
Can LLMs Evaluate What They Cannot Annotate? Revisiting LLM Reliability in Hate Speech Detection
Cross-label Suppression: A Discriminative and Fast Dictionary Learning with Group Regularization
Path Planning Algorithm for Extinguishing Forest Fires
TransitReID: Transit OD Data Collection with Occlusion-Resistant Dynamic Passenger Re-Identification
Mispronunciation Detection of Basic Quranic Recitation Rules using Deep Learning
WAD-CMSN: Wasserstein Distance based Cross-Modal Semantic Network for Zero-Shot Sketch-Based Image Retrieval
Two Birds with One Stone: Improving Rumor Detection by Addressing the Unfairness Issue
Deep and Decentralized Multi-Agent Coverage of a Target with Unknown Distribution
On the Expressive Power of Graph Neural Networks
Harnessing Textual Semantic Priors for Knowledge Transfer and Refinement in CLIP-Driven Continual Learning
Model-Based Real-Time Motion Tracking using Dynamical Inverse Kinematics
Revisiting the Auxiliary Data in Backdoor Purification
An Illusion of Progress? Assessing the Current State of Web Agents
Motion-Aware Transformer for Multi-Object Tracking
Yoga-Veganism: Correlation Mining of Twitter Health Data
Multi-task Deep Convolutional Network to Predict Sea Ice Concentration and Drift in the Arctic Ocean
Convergence of sparse grid Gaussian convolution approximation for multi-dimensional periodic function
DSLOB: A Synthetic Limit Order Book Dataset for Benchmarking Forecasting Algorithms under Distributional Shift
Leveraging Machine Learning for Wi-Fi-based Environmental Continuous Two-Factor Authentication
The Gravitational Aspect of Information: The Physical Reality of Asymmetric "Distance"
Input-Erasing Two-Way Finite Automata
Multiple User Context Inference by Fusing Data Sources
Data-driven Nonlinear Parametric Model Order Reduction Framework using Deep Hierarchical Variational Autoencoder
Spatio-Temporal Graph Contrastive Learning
A spectral Galerkin exponential Euler time-stepping scheme for parabolic SPDEs on two-dimensional domains with a C2-boundary
Depth Separation in ReLU Networks for Approximating Smooth Non-Linear Functions
Automation of Hemocompatibility Analysis Using Image Segmentation and a Random Forest
POV: Prompt-Oriented View-Agnostic Learning for Egocentric Hand-Object Interaction in the Multi-View World
baller2vec++: A Look-Ahead Multi-Entity Transformer For Modeling Coordinated Agents
Improving generalization in large language models by learning prefix subspaces
Activator: GLU Activations as The Core Functions of a Vision Transformer
Distributed quantum election scheme
Challenges in Testing Large Language Model Based Software: A Faceted Taxonomy
AirGS: Real-Time 4D Gaussian Streaming for Free-Viewpoint Video Experiences
Context Matters: Incorporating Target Awareness in Conversational Abusive Language Detection
Formal Verification of Debates in Argumentation Theory
GraspDiffusion: Synthesizing Realistic Whole-body Hand-Object Interaction
Detection of bimanual gestures everywhere: why it matters, what we need and what is missing
To Share or Not to Share in Client-Side Encrypted Clouds
The Effect of Malice on the Social Optimum in Linear Load Balancing Games
Characterizing NC1 with Typed Monoids
Iteration-complexity of first-order augmented Lagrangian methods for convex conic programming
Neural networks trained on synthetically generated crystals can extract structural information from ICSD powder X-ray diffractograms
Ripple sparse self-attention for monaural speech enhancement
KNN-enhanced Deep Learning Against Noisy Labels
Inverse problems for semiconductors: models and methods
Privacy-Preserving Feature Valuation in Vertical Federated Learning Using Shapley-CMI and PSI Permutation
Coding for Two-User SISO and MIMO Multiple Access Channels
Copy Is All You Need
Do Agile Scaling Approaches Make A Difference? An Empirical Comparison of Team Effectiveness Across Popular Scaling Approaches
Intersecting edge distinguishing colorings of hypergraphs
Designing and Evaluating Sampling Strategies for Multiple-Forecast Visualization (MFV)
Conservation-preserved Fourier Neural Operator through Adaptive Correction
DISTO: Evaluating Textual Distractors for Multi-Choice Questions using Negative Sampling based Approach
Certifying Model Accuracy under Distribution Shifts
Combined field-only boundary integral equations for PEC electromagnetic scattering problem in spherical geometries
Geometry of orofacial neuromuscular signals: speech articulation decoding using surface electromyography
On the Transferability of Representations in Neural Networks Between Datasets and Tasks
Interests Diffusion on a Semantic Multiplex
Causal Discovery for Causal Bandits utilizing Separating Sets
A posteriori error estimates for the stationary Navier Stokes equations with Dirac measures
Hyperproperty-Preserving Register Specifications (Extended Version)
Diffusion Based Nanonetworking: A New Modulation Technique and Performance Analysis
Solving Linear Equations Using a Jacobi Based Time-Variant Adaptive Hybrid Evolutionary Algorithm
Intra-request branch orchestration for efficient LLM reasoning
Boosting Fine-Grained Urban Flow Inference via Lightweight Architecture and Focalized Optimization
A Retrospective Analysis using Deep-Learning Models for Prediction of Survival Outcome and Benefit of Adjuvant Chemotherapy in Stage II/III Colorectal Cancer
Multitask Learning for Emotion and Personality Detection
Genetic Algorithms for multiple objective vehicle routing
Autocomplete Textures for 3D Printing
P-persistent homology of finite topological spaces
Degree Heterogeneity in a Graph Facilitates Quicker Meeting of Random Walkers
ResourceSync: Leveraging Sitemaps for Resource Synchronization
Measuring the Influence of Observations in HMMs through the Kullback-Leibler Distance
Classification of infrastructure networks by neighborhood degree distribution
Feature-level Rating System using Customer Reviews and Review Votes
The Boundary Between Privacy and Utility in Data Anonymization
RandomNet: Clustering Time Series Using Untrained Deep Neural Networks
Interposer-Based Root of Trust
Improved Diffusion-based Image Colorization via Piggybacked Models
Weighted hyperbolic cross polynomial approximation
On the Complexity of Identifying Strongly Regular Graphs
Learning Self-Similarity in Space and Time as Generalized Motion for Action Recognition
Transfer Orthology Networks
Learning Latent Spaces for Domain Generalization in Time Series Forecasting
Dagger and dilations in the category of von Neumann algebras
Boolean Logic with Fault Tolerant Coding
ANALYTiC: Understanding Decision Boundaries and Dimensionality Reduction in Machine Learning
Burden of Persuasion in Argumentation
Incorporating External Knowledge and Goal Guidance for LLM-based Conversational Recommender Systems
Attribute Oriented Induction with simple select SQL statement
Direct Bézier-Based Trajectory Planner for Improved Local Exploration of Unknown Environments
The complexity of cyber attacks in a new layered-security model and the maximum-weight, rooted-subtree problem
What is Your Data Worth to GPT? LLM-Scale Data Valuation with Influence Functions
Evaluating the Underlying Gender Bias in Contextualized Word Embeddings
Synthetic Data Generation for Bridging Sim2Real Gap in a Production Environment
Analysis and Control of a Non-Local PDE Traffic Flow Model
Tri-Accel: Curvature-Aware Precision-Adaptive and Memory-Elastic Optimization for Efficient GPU Usage
Mathematical and numerical study of a three-dimensional inverse eddy current problem
Understanding Negations in Information Processing: Learning from Replicating Human Behavior
PGDiffSeg: Prior-Guided Denoising Diffusion Model with Parameter-Shared Attention for Breast Cancer Segmentation
Synthetic Data Generation and Adaption for Object Detection in Smart Vending Machines
Predicting the Temperature Dependence of Surfactant CMCs Using Graph Neural Networks
Assessing Collective Reasoning in Multi-Agent LLMs via Hidden Profile Tasks
ReGNL: Rapid Prediction of GDP during Disruptive Events using Nightlights
A Block Sparsity Based Estimator for mmWave Massive MIMO Channels with Beam Squint
Efficient Incremental Learning for Mobile Object Detection
hp-optimal interior penalty discontinuous Galerkin methods for the biharmonic problem
Decentralized nation, solving the web identity crisis
No One is Perfect: Analysing the Performance of Question Answering Components over the DBpedia Knowledge Graph
Reconstruction of 3D Porous Media From 2D Slices
UW-BioNLP at ChemoTimelines 2025: Thinking, Fine-Tuning, and Dictionary-Enhanced LLM Systems for Chemotherapy Timeline Extraction
Equitable Networked Microgrid Topology Reconfiguration for Wildfire Risk Mitigation
Aligning Latent Spaces with Flow Priors
Unlocking LLM Safeguards for Low-Resource Languages via Reasoning and Alignment with Minimal Training Data
Bridging the Editing Gap in LLMs: FineEdit for Precise and Targeted Text Modifications
Unfolding network communities by combining defensive and offensive label propagation
Rethinking Counterfactual Explanations as Local and Regional Counterfactual Policies
KEWS: A Evaluation Method of Workload Simulation based on KPIs