yusuke1997/dblp-id-title huggingface dataset:
Computational complexity of time-dependent density functional theory
Evaluating Generic Auto-ML Tools for Computational Pathology
Robust Federated Learning in a Heterogeneous Environment
Standardization of Psychiatric Diagnoses - Role of Fine-tuned LLM Consortium and OpenAI-gpt-oss Reasoning LLM Enabled Decision Support System
Fine-Grained Zero-Shot Learning: Advances, Challenges, and Prospects
Gradient-Descent for Randomized Controllers under Partial Observability
DiBS-MTL: Transformation-Invariant Multitask Learning with Direction Oracles
Security and Privacy Issues of Federated Learning
Dilation of states and processes in operational-probabilistic theories
WikiSent : Weakly Supervised Sentiment Analysis Through Extractive Summarization With Wikipedia
Learning dynamical systems from data: A simple cross-validation perspective, part III: Irregularly-Sampled Time Series
A robust class of languages of 2-nested words
Multi-Objective Model-Predictive Control for Dielectric Elastomer Wave Harvesters
Symplectic methods for stochastic Hamiltonian systems: asymptotic error distributions and Hamiltonian-specific analysis
Are human interactivity times lognormal?
Fast Matrix Multiplication and Symbolic Computation
Off-the-grid: Fast and Effective Hyperparameter Search for Kernel Clustering
Maverick-Aware Shapley Valuation for Client Selection in Federated Learning
A conditional latent autoregressive recurrent model for generation and forecasting of beam dynamics in particle accelerators
BUILDA: A Thermal Building Data Generation Framework for Transfer Learning
Coordinated Multi-cell Beamforming for Massive MIMO: A Random Matrix Approach
Self-Supervised Depth Correction of Lidar Measurements from Map Consistency Loss
Visual-Oriented Fine-Grained Knowledge Editing for MultiModal Large Language Models
Exploratory Analysis of Covid-19 Tweets using Topic Modeling, UMAP, and DiGraphs
Decentralized Throughput Maximizing Policies for Deadline-Constrained Wireless Networks
Core Elements of Social Interaction for Constructive Human-Robot Interaction
Double Circulant Minimum Storage Regenerating Codes
Fast solvers for the high-order FEM simplicial de Rham complex
Tracking Individual Targets in High Density Crowd Scenes Analysis of a Video Recording in Hajj 2009
Transmission strategies for cell-free massive mimo with limited capacity fronthaul links
Optimal quantum kernels for small data classification
Deep Asymmetric Networks with a Set of Node-wise Variant Activation Functions
A Learn-and-Control Strategy for Jet-Based Additive Manufacturing
CUED_speech at TREC 2020 Podcast Summarisation Track
Distributed deep learning on edge-devices: feasibility via adaptive compression
LPML: LLM-Prompting Markup Language for Mathematical Reasoning
ATL*AS: An Automata-Theoretic Approach and Tool for the Verification of Strategic Abilities in Multi-Agent Systems
Stacking Small Language Models for Generalizability
Named Entity Recognition with stack residual LSTM and trainable bias decoding
Towards Nominal Formal Languages
Bayesian System ID: Optimal management of parameter, model, and measurement uncertainty
Evaluating the Role of Large Language Models in Legal Practice in India
An Analysis of Reader Engagement in Literary Fiction through Eye Tracking and Linguistic Features
What We Know About Using Non-Engagement Signals in Content Ranking
Next-to-leading order corrections to capacity for nondispersive nonlinear optical fiber channel in intermediate power region
Design and Evaluation of Crowd-sourcing Platforms Based on Users Confidence Judgments
Left Lyndon tree construction
Bayesian Regularization for Graphical Models with Unequal Shrinkage
Independent Clinical Evaluation of General-Purpose LLM Responses to Signals of Suicide Risk
Representing Digital Assets for Long-Term Preservation using MPEG-21 DID
Orca: Enhancing Role-Playing Abilities of Large Language Models by Integrating Personality Traits
The Extended HOA Format for Synthesis
Loop Calculus and Bootstrap-Belief Propagation for Perfect Matchings on Arbitrary Graphs
Understanding the Impact of openPMD on BIT1, a Particle-in-Cell Monte Carlo Code, through Instrumentation, Monitoring, and In-Situ Analysis
Election Polarization: Mapping citizen divisions through elections
A Contextual Investigation of Location in the Home Using Bluetooth Low Energy Beacons
Clustering of Driving Scenarios Using Connected Vehicle Datasets
Qwen3Guard Technical Report
Design Assurance Evaluation of Microcontrollers for safety critical Avionics
An exploration for higher efficiency in multi objective optimisation with reinforcement learning
A foundational neural operator that continuously learns without forgetting
Carbon Neutrality Approaches for IoT-Enabled Applications - A Review
Adaptive Root Cause Localization for Microservice Systems with Multi-Agent Recursion-of-Thought
Is ChatGPT-5 Ready for Mammogram VQA?
Discrete Bayesian Networks: The Exact Posterior Marginal Distributions
Improving the discovery of near-Earth objects with machine-learning methods
Scaling Matters in Deep Structured-Prediction Models
AdaptivFloat: A Floating-point based Data Type for Resilient Deep Learning Inference
FunnyNodules: A Customizable Medical Dataset Tailored for Evaluating Explainable AI
Refined-Segmentation R-CNN: A Two-stage Convolutional Neural Network for Punctate White Matter Lesion Segmentation in Preterm Infants
Assign Experiment Variants at Scale in Online Controlled Experiments
Quantum Theory is a Quasi-stochastic Process Theory
Bayesian Quantile and Expectile Optimisation
MTSpark: Enabling Multi-Task Learning with Spiking Neural Networks for Generalist Agents
Buying Private Data without Verification
A Reinforcement Learning-based Offensive semantics Censorship System for Chatbots
SVS-net: A Novel Semantic Segmentation Network in Optical Coherence Tomography Angiography Images
Formats of Winning Strategies for Six Types of Pushdown Games
Data Augmentation Using GANs
Non-Transferable Learning: A New Approach for Model Verification and Authorization
Real-time Forecasting of Time Series in Financial Markets Using Sequentially Trained Many-to-one LSTMs
Enhancing AUTOSAR-Based Firmware Over-the-Air Updates in the Automotive Industry with a Practical Implementation on a Steering System
SCD: Self-Contrastive Decorrelation for Sentence Embeddings
On the Relationship between Counterfactual Explainer and Recommender: A Framework and Preliminary Observations
Label-Conditioned Next-Frame Video Generation with Neural Flows
LiveTalk: Real-Time Multimodal Interactive Video Diffusion via Improved On-Policy Distillation
Artificial Intelligence Ethics: An Inclusive Global Discourse?
The zero exemplar distance problem
DeFINE: DEep Factorized INput Word Embeddings for Neural Sequence Modeling
Using Shape Constraints for Improving Symbolic Regression Models
Deep Recurrent Neural Networks for Product Attribute Extraction in eCommerce
Tensor Completion via Few-shot Convolutional Sparse Coding
Facilitating Connected Autonomous Vehicle Operations Using Space-weighted Information Fusion and Deep Reinforcement Learning Based Control
Data Compression for Time Series Modelling: A Case Study of Smart Grid Demand Forecasting
FM-EAC: Feature Model-based Enhanced Actor-Critic for Multi-Task Control in Dynamic Environments
Safe Robotic Capsule Cleaning with Integrated Transpupillary and Intraocular Optical Coherence Tomography
Asymmetric Co-Training for Source-Free Few-Shot Domain Adaptation
On The Coherence of Quantitative Evaluation of Visual Expalantion
Minimum-Cost Flows Over Time
0.1% Data Makes Segment Anything Slim
Assortment Optimization under a Single Transition Model
Information Potential Auto-Encoders
Extract Method Refactoring by Successive Edge Contraction
Autonomous UAV Navigation: A DDPG-based Deep Reinforcement Learning Approach
OpenRBC: A Fast Simulator of Red Blood Cells at Protein Resolution
Finite-time Analysis for the Knowledge-Gradient Policy
About MathPartner web service
Improving Code Reviewer Recommendation: Accuracy, Latency, Workload, and Bystanders
Rewarding Engagement and Personalization in Popularity-Based Rankings Amplifies Extremism and Polarization
ARM 7 Based Controller Area Network for Accident Avoidance in Automobiles
Fine-tuning Flow Matching Generative Models with Intermediate Feedback
Few-shot Open Relation Extraction with Gaussian Prototype and Adaptive Margin
Evolution of Ideas: A Novel Memetic Algorithm Based on Semantic Networks
A theoretical investigation of ferromagnetic tunnel junctions with 4-valued conductances
Stability of image reconstruction algorithms
Automatic Creation of High-Bandwidth Memory Architectures from Domain-Specific Languages: The Case of Computational Fluid Dynamics
Fueling the Next Quantum Leap in Cellular Networks: Embracing AI in 5G Evolution towards 6G
Rank Modulation for Translocation Error Correction
Intellectual Management of Enterprise
Adversarial Sample Detection for Deep Neural Network through Model Mutation Testing
Raw Audio Classification with Cosine Convolutional Neural Network (CosCovNN)
Self-learning Scene-specific Pedestrian Detectors using a Progressive Latent Model
On the nature of information - an evolutionary perspective
Can the Intellectual Processes in Science Also Be Simulated? The Anticipation and Visualization of Possible Future States
A Longitudinal Multi-modal Dataset for Dementia Monitoring and Diagnosis
Trust Explanations to Do What They Say
Power Law Public Goods Game for Personal Information Sharing in News Comments
Singular Vectors From Singular Values
Robot Context Protocol (RCP): A Runtime-Agnostic Interface for Agent-Aware Robot Control
Out-of-the-Box Conditional Text Embeddings from Large Language Models
A new reproducing kernel approach for nonlinear fractional three-point boundary value problems
Deformation and failure in nanomaterials via a data driven modelling approach
Reconstructing Galaxy Cluster Mass Maps using Score-based Generative Modeling
Extracting Smart Contracts Tested and Verified in Coq
Temporal Subsampling Diminishes Small Spatial Scales in Recurrent Neural Network Emulators of Geophysical Turbulence
On the Tractability Landscape of Conditional Minisum Approval Voting Rule
UIA-ViT: Unsupervised Inconsistency-Aware Method based on Vision Transformer for Face Forgery Detection
Graph Classification by Mixture of Diverse Experts
Optimal Chebyshev Smoothers and One-sided V-cycles
A Climate-Aware Deep Learning Framework for Generalizable Epidemic Forecasting
Regularization-based Pruning of Irrelevant Weights in Deep Neural Architectures
Pyrcca: regularized kernel canonical correlation analysis in Python and its applications to neuroimaging
Heterogeneous radio access with multiple latency targets
Mitigating federated learning contribution allocation instability through randomized aggregation
Temporal Identification of Latent Communities on Twitter
Link Enhancer for Vehicular Wireless ATM Communications
Undefined By Data: A Survey of Big Data Definitions
BreastSAM: A Study of Segment Anything Model for Breast Tumor Detection in Ultrasound Images
Risk Communication in Asian Countries: COVID-19 Discourse on Twitter
Combating Misinformation in the Arab World: Challenges & Opportunities
Anomaly Object Segmentation with Vision-Language Models for Steel Scrap Recycling
Only Tails Matter: Average-Case Universality and Robustness in the Convex Regime
On Watts' Cascade Model with Random Link Weights
Cherry Hypothesis: Identifying the Cherry on the Cake for Dynamic Networks
eFAT: Improving the Effectiveness of Fault-Aware Training for Mitigating Permanent Faults in DNN Hardware Accelerators
Federated Bayesian Neural Regression: A Scalable Global Federated Gaussian Process
Your Smart Home Can't Keep a Secret: Towards Automated Fingerprinting of IoT Traffic with Neural Networks
Hierarchical classification of e-commerce related social media
A Generalized Deep Learning Framework for Whole-Slide Image Segmentation and Analysis
Tensor-generated matrices and tensor H-eigenvalues distribution
Change-point Detection Methods for Body-Worn Video
Follow Anything: Open-set detection, tracking, and following in real-time
DuaShepherd: Integrating Stepwise Correctness and Potential Rewards for Mathematical Reasoning
Statistical Post-processing for Gridded Temperature Forecasts Using Encoder-Decoder Based Deep Convolutional Neural Networks
Learning Human Preferences Over Robot Behavior as Soft Planning Constraints
Structured Bayesian Compression for Deep Neural Networks Based on The Turbo-VBI Approach
Multi-Path Learnable Wavelet Neural Network for Image Classification
Scalable Community Extraction of Text Networks for Automated Grouping in Medical Databases
Search space analysis with Wang-Landau sampling and slow adaptive walks
Visual Perception Model for Rapid and Adaptive Low-light Image Enhancement
Robust polynomial regression up to the information theoretic limit
ReProCon: Scalable and Resource-Efficient Few-Shot Biomedical Named Entity Recognition
AI Agents for Web Testing: A Case Study in the Wild
RoScenes: A Large-scale Multi-view 3D Dataset for Roadside Perception
Testing submodularity and other properties of valuation functions
Inferring Compensatory Kinase Networks in Yeast using Prolog
SIDOD: A Synthetic Image Dataset for 3D Object Pose Recognition with Distractors
Back Attention: Understanding and Enhancing Multi-Hop Reasoning in Large Language Models
The Feasibility of Scalable Video Streaming over Femtocell Networks
Monte Carlo Analysis of Boid Simulations with Obstacles: A Physics-Based Perspective
3DStyleGLIP: Part-Tailored Text-Guided 3D Neural Stylization
A Better-Than-2 Approximation for the Directed Tree Augmentation Problem
A Digital Twin Simulator of a Pastillation Process with Applications to Automatic Control based on Computer Vision
On a new complete invariant of acyclic graphs
Assimilation of Satellite Active Fires Data
Kernel-Based Sparse Additive Nonlinear Model Structure Detection through a Linearization Approach
A computational interpretation of Zorn's lemma
WiSE-OD: Benchmarking Robustness in Infrared Object Detection
A Unified f-divergence Framework Generalizing VAE and GAN
Control point based exact description of curves and surfaces in extended Chebyshev spaces
Effects of Crowding Perception on Self-organized Pedestrian Flows Using Adaptive Agent-based Model
Prismatic Synthesis: Gradient-based Data Diversification Boosts Generalization in LLM Reasoning
Denoising Linear Models with Permuted Data
Refinement by interpretation in π-institutions
DirectDrag: High-Fidelity, Mask-Free, Prompt-Free Drag-based Image Editing via Readout-Guided Feature Alignment
On the Greedy Algorithm for Combinatorial Auctions with a Random Order
Time Series Data Imputation: A Survey on Deep Learning Approaches
Distributed Deep Learning Strategies For Automatic Speech Recognition
RPRA-ADD: Forgery Trace Enhancement-Driven Audio Deepfake Detection
Rapid Feature Learning with Stacked Linear Denoisers
Privacy Preserving Linear Programming
Physics-informed Machine Learning for Calibrating Macroscopic Traffic Flow Models
A system for information extraction from scientific texts in Russian
Online Multiview Representation Learning: Dropping Convexity for Better Efficiency
PillarAcc: Sparse PointPillars Accelerator for Real-Time Point Cloud 3D Object Detection on Edge Devices
Graph-Based Similarity of Neural Network Representations
Learning Sparse Disentangled Representations for Multimodal Exclusion Retrieval
Filtering journal impact factor rank by specific parameters
Solving the TTC 2011 Model Migration Case with Edapt
A New Algorithm for Tessellated Kernel Learning
Sketch Tomography: Hybridizing Classical Shadow and Matrix Product State
Resolution Dependent GAN Interpolation for Controllable Image Synthesis Between Domains
Adding semantics to measurements: Ontology-guided, systematic performance analysis
Kintsugi: Decentralized E2EE Key Recovery
Moving Object Detection and Tracking with 4D Radar Point Cloud
EnvSSLAM-FFN: Lightweight Layer-Fused System for ESDD 2026 Challenge
Acoustic Index: A Novel AI-Driven Parameter for Cardiac Disease Risk Stratification Using Echocardiography
On the Activation Function Dependence of the Spectral Bias of Neural Networks
Optimal Unbiased Linear Sensor Fusion over Multiple Lossy Channels with Collective Observability
Modeling Routing Overhead Generated by Wireless Reactive Routing Protocols
NeuLite: Memory-Efficient Federated Learning via Elastic Progressive Training
Population spatialization and synthesis with open data
Distributed conjugate gradient strategies for parameter estimation over sensor networks
Manifold regularization with GANs for semi-supervised learning
Commuting Network Spillovers and COVID-19 Deaths Across US Counties
Statistical Design and Analysis for Robust Machine Learning: A Case Study from COVID-19
4D Scaffold Gaussian Splatting for Memory Efficient Dynamic Scene Reconstruction
GeoPF: Infusing Geometry into Potential Fields for Reactive Planning in Non-trivial Environments
Time-Vertex Machine Learning for Optimal Sensor Placement in Temporal Graph Signals: Applications in Structural Health Monitoring
Large-Scale Contextual Market Equilibrium Computation through Deep Learning
Modeling and In-flight Torso Attitude Stabilization of a Jumping Quadruped
Team Coordination on Graphs with State-Dependent Edge Cost
iqiyi Submission to ActivityNet Challenge 2019 Kinetics-700 challenge: Hierarchical Group-wise Attention
Machine Learning and Multi-source Remote Sensing in Forest Carbon Stock Estimation: A Review
Comparing network covers using mutual information
A User's Guide to Zot
Training Deep Capsule Networks
Privacy-preserving Stochastic Gradual Learning
Generative Artificial Intelligence and Agents in Research and Teaching
Quantifying the consistency of scientific databases
The Status of Polycyclic Group-Based Cryptography: A Survey and Open Problems
Convergence Analysis For Non Linear System Of Parabolic Variational Inequalities
A Novel Surrogate-assisted Evolutionary Algorithm Applied to Partition-based Ensemble Learning
Measuring the Functional Load of Phonological Contrasts
The Eigenvalues Entropy as a Classifier Evaluation Measure
On the Art and Science of Machine Learning Explanations
SID: Multi-LLM Debate Driven by Self Signals
Information Exchange in Randomly Deployed Dense WSNs with Wireless Energy Harvesting Capabilities
MaskOpt: A Large-Scale Mask Optimization Dataset to Advance AI in Integrated Circuit Manufacturing
Dimensionality Reduction for Sentiment Classification: Evolving for the Most Prominent and Separable Features
Seeing is Deceiving: Exploitation of Visual Pathways in Multi-Modal Language Models
Analyzing and Interpreting Convolutional Neural Networks in NLP
Sequence of Expert: Boosting Imitation Planners for Autonomous Driving through Temporal Alternation
Word Embeddings Revisited: Do LLMs Offer Something New?
On the Benefits of Selectivity in Pseudo-Labeling for Unsupervised Multi-Source-Free Domain Adaptation
Maximising Quantum-Computing Expressive Power through Randomised Circuits
OTFS: A New Generation of Modulation Addressing the Challenges of 5G
Pennsieve: A Collaborative Platform for Translational Neuroscience and Beyond
Defending Against Contagious Attacks on a Network with Resource Reallocation
Random Inverse Problems Over Graphs: Decentralized Online Learning
Edge Federated Learning Via Unit-Modulus Over-The-Air Computation (Extended Version)
Column Weight Two and Three LDPC Codes with High Rates and Large Girths
Full Law Identification In Graphical Models Of Missing Data: Completeness Results
AirCROP: Airline Crew Pairing Optimizer for Complex Flight Networks Involving Multiple Crew Bases & Billion-Plus Variables
Robust iteration methods for complex systems with an indefinite matrix term
Implementation of linear detection techniques to overcome channel effects in MIMO
Guidance for Intra-cardiac Echocardiography Manipulation to Maintain Continuous Therapy Device Tip Visibility
Hierarchical Attention Models for Multi-Relational Graphs
A Novel Design of Linear Phase Non-uniform Digital Filter Banks
PlückeRF: A Line-based 3D Representation for Few-view Reconstruction
Learning Network Representations with Disentangled Graph Auto-Encoder
The Different Faces of AI Ethics Across the World: A Principle-Implementation Gap Analysis
Demystifying Device-specific Compatibility Issues in Android Apps
Beyond Length: Quantifying Long-Range Information for Long-Context LLM Pretraining Data
Towards a Unified Framework for Emotion Analysis
Gender differences in research areas and topics: An analysis of publications in 285 fields
InvNorm: Domain Generalization for Object Detection in Gastrointestinal Endoscopy
SpotNet: An Image Centric, Lidar Anchored Approach To Long Range Perception
Are Large Language Models Chameleons?
Dynamics of Users Activity on Web-Blogs
Auto-segmentation of Hip Joints using MultiPlanar UNet with Transfer learning
FRACTAL: An Ultra-Large-Scale Aerial Lidar Dataset for 3D Semantic Segmentation of Diverse Landscapes
Countering Reward Over-optimization in LLM with Demonstration-Guided Reinforcement Learning
Stronger together? The homophily trap in networks
Preventing Identity Attacks in RFID Backscatter Communication Systems: A Physical-Layer Approach
Balanced Destruction-Reconstruction Dynamics for Memory-replay Class Incremental Learning
Towards One-Stage End-to-End Table Structure Recognition with Parallel Regression for Diverse Scenarios
IteraTTA: An interface for exploring both text prompts and audio priors in generating music with text-to-audio models
Advancing Welding Defect Detection in Maritime Operations via Adapt-WeldNet and Defect Detection Interpretability Analysis
Modified Stage-Gate: A Conceptual Model of Virtual Product Development Process
An Empirical Smart Contracts Latency Analysis on Ethereum Blockchain for Trustworthy Inter-Provider Agreements
TLNets: Transformation Learning Networks for long-range time-series prediction
Constant Sequence Extension for Fast Search Using Weighted Hamming Distance
Neural Ordinary Differential Equations for Simulating Metabolic Pathway Dynamics from Time-Series Multiomics Data
Don't exhaust, don't waste
Generalizing while preserving monotonicity in comparison-based preference learning models
An island-parallel ensemble metaheuristic algorithm for large graph coloring problems
Competition between simultaneous demand-side flexibility options: The case of community electricity storage systems
Spaces, Trees and Colors: The Algorithmic Landscape of Document Retrieval on Sequences
Grid-like structure is optimal for path integration
Weak scalability of domain decomposition methods for discrete fracture networks
Behavior Trees in Action: A Study of Robotics Applications
Thesis Distillation: Investigating The Impact of Bias in NLP Models on Hate Speech Detection
BIS Reasoning 1.0: The First Large-Scale Japanese Benchmark for Belief-Inconsistent Syllogistic Reasoning
Comparison of different T-norm operators in classification problems
VideoLLM: Modeling Video Sequence with Large Language Models
2-Step Sparse-View CT Reconstruction with a Domain-Specific Perceptual Network
Empirical sparse regression on quadratic manifolds
ACO-ESSVHOA - Ant Colony Optimization based Multi-Criteria Decision Making for Efficient Signal Selection in Mobile Vertical Handoff
A higher-order finite element method with unstructured anisotropic mesh adaption for two phase flows with surface tension
On the Regularity of Random 2-SAT and 3-SAT
Newclid: A User-Friendly Replacement for AlphaGeometry
OpenGraphGym-MG: Using Reinforcement Learning to Solve Large Graph Optimization Problems on MultiGPU Systems
Behavior-Aware Efficient Detection of Malicious EVs in V2G Systems
Constructing Optimal Authentication Codes with Perfect Multi-fold Secrecy
NestGNN: A Graph Neural Network Framework Generalizing the Nested Logit Model for Travel Mode Choice
Gated Complex Recurrent Neural Networks
MICINet: Multi-Level Inter-Class Confusing Information Removal for Reliable Multimodal Classification
Perfect Information vs Random Investigation: Safety Guidelines for a Consumer in the Jungle of Product Differentiation
A Computer-Based Method to Improve the Spelling of Children with Dyslexia
INF-LLaVA: Dual-perspective Perception for High-Resolution Multimodal Large Language Model