yusuke1997/dblp-id-title huggingface dataset:
Applying the Persona of User's Family Member and the Doctor to the Conversational Agents for Healthcare
PSF-NET: A Non-parametric Point Spread Function Model for Ground Based Optical Telescopes
FixCLR: Negative-Class Contrastive Learning for Semi-Supervised Domain Generalization
Portrait Neural Radiance Fields from a Single Image
Efficient cache use for stencil operations on structured discretization grids
Top-N recommendations from expressive recommender systems
Power and Frequency Control of Induction Furnace Using Fuzzy Logic Controller
Examining the Role of Relationship Alignment in Large Language Models
A High Voltage Ride Through Strategy For DFIG Considering HVDC System Converter Blocking
Competitive Design of Multiuser MIMO Systems based on Game Theory: A Unified View
LLEXICORP: End-user Explainability of Convolutional Neural Networks
Reservoir Prediction by Machine Learning Methods on The Well Data and Seismic Attributes for Complex Coastal Conditions
VNF Migration with Fast Defragmentation: A GAT-Based Deep Learning Method
Inferring Brain Dynamics via Multimodal Joint Graph Representation EEG-fMRI
On the existence of a new family of Diophantine equations for Omega
Measuring Global Migration Flows using Online Data
Fine-grained differentiable physics: a yarn-level model for fabrics
Robotic warehousing operations: a learn-then-optimize approach to large-scale neighborhood search
Asynchronous Transmission over Gaussian Interference Channels with Stochastic Data Arrival
Optimal Power Flow as a Polynomial Optimization Problem
Large Language Models Are Overparameterized Text Encoders
Strongly Cancellative and Recovering Sets On Lattices
Wireless Transmission of Images With The Assistance of Multi-level Semantic Information
A note on undecidability of propositional non-associative linear logics
Effectiveness of Anonymization in Double-Blind Review
The Lie derivative and Noether's theorem on the aromatic bicomplex
Understanding LSTM - a tutorial into Long Short-Term Memory Recurrent Neural Networks
Agent-based Condition Monitoring Assistance with Multimodal Industrial Database Retrieval Augmented Generation
A Novel Approach to Guard from Adversarial Attacks using Stable Diffusion
The program complexity on NPC problems should be length upper-bounded, and a thought experiment to search for them by machine enumeration
WECAR: An End-Edge Collaborative Inference and Training Framework for WiFi-Based Continuous Human Activity Recognition
SWAPPER: Dynamic Operand Swapping in Non-commutative Approximate Circuits for Online Error Reduction
Risk-averse Stochastic Optimization for Farm Management Practices and Cultivar Selection Under Uncertainty
Competitive Concurrent Distributed Scheduling
Towards Understanding User Preferences from User Tagging Behavior
Decentralized Deep Learning using Momentum-Accelerated Consensus
Optimal Energy Signal Design for Multi-user MISO WPCNs With Non-linear Energy Harvesting Circuits
Highly Efficient and Effective LLMs with Multi-Boolean Architectures
Point & Select: Designing an Interaction Technique for Inputting Surrounding Point of Interests in Driving Context
Arnold: an eFPGA-Augmented RISC-V SoC for Flexible and Low-Power IoT End-Nodes
Nearly optimal lattice simulation by product formulas
On nonpermutational transformation semigroups with an application to syntactic complexity
FBI-Pose: Towards Bridging the Gap between 2D Images and 3D Human Poses using Forward-or-Backward Information
E-Commerce in Turkey and SAP Integrated E-Commerce System
Understanding Higher-Order Shape via 3D Shape Attributes
SynCED-EnDe 2025: A Synthetic and Curated English - German Dataset for Critical Error Detection in Machine Translation
P-ReMIS: Pragmatic Reasoning in Mental Health and a Social Implication
A Multi-Agent Approach to Optimal Sizing of a Combined Heating and Power Microgrid
Reformulating Speaker Diarization as Community Detection With Emphasis On Topological Structure
The scalable Birth-Death MCMC Algorithm for Mixed Graphical Model Learning with Application to Genomic Data Integration
Slant/Gokigen Naname is NP-complete, and Some Variations are in P
Towards Efficient Compressive Data Collection in the Internet of Things
Logarithmic Lipschitz norms and diffusion-induced instability
The 1st-place Solution for CVPR 2023 OpenLane Topology in Autonomous Driving Challenge
To share or not to share: What risks would laypeople accept to give sensitive data to differentially-private NLP systems?
Cue-word Driven Neural Response Generation with a Shrinking Vocabulary
AMBER: Adaptive Mesh Generation by Iterative Mesh Resolution Prediction
AgentIAD: Tool-Augmented Single-Agent for Industrial Anomaly Detection
Why DPO is a Misspecified Estimator and How to Fix It
Saturation-Driven Dataset Generation for LLM Mathematical Reasoning in the TPTP Ecosystem
Coverage and Spectral Efficiency of NOMA-Enabled LEO Satellite Networks with Ordering Schemes
Tracking Turbulence Through Financial News During COVID-19
HybridSOMSpikeNet: A Deep Model with Differentiable Soft Self-Organizing Maps and Spiking Dynamics for Waste Classification
Optimal Multi-Robot Path Planning with LTL Constraints: Guaranteeing Correctness Through Synchronization
MEAOD: Model Extraction Attack against Object Detectors
Data-Driven Stochastic AC-OPF using Gaussian Processes
Retrieval Augmented Comic Image Generation
HyPerNav: Hybrid Perception for Object-Oriented Navigation in Unknown Environment
Real-time brain machine interaction via social robot gesture control
The complementary contributions of academia and industry to AI research
Imperceptible Adversarial Attack on Deep Neural Networks from Image Boundary
ST-GIN: An Uncertainty Quantification Approach in Traffic Data Imputation with Spatio-temporal Graph Attention and Bidirectional Recurrent United Neural Networks
XBlock-EOS: Extracting and Exploring Blockchain Data From EOSIO
Model Predictive Control for Multi-Agent Systems under Limited Communication and Time-Varying Network Topology
Addressing the confounds of accompaniments in singer identification
Network Code Design for Orthogonal Two-hop Network with Broadcasting Relay: A Joint Source Channel Network Coding Approach
EFCM: Efficient Fine-tuning on Compressed Models for deployment of large models in medical image analysis
On the Convergence of Massive MIMO Systems
Nodal auxiliary space preconditioners for mixed virtual element methods
SyMOT-Flow: Learning optimal transport flow for two arbitrary distributions with maximum mean discrepancy
A Survey on Quantum Machine Learning: Current Trends, Challenges, Opportunities, and the Road Ahead
Composable Security Against Collective Attacks of a Modified BB84 QKD Protocol with Information only in One Basis
A Stochastic Tensor Method for Non-convex Optimization
Average-case algorithms for testing isomorphism of polynomials, algebras, and multilinear forms
Approaches for Improving the Performance of Fake News Detection in Bangla: Imbalance Handling and Model Stacking
On degeneration of tensors and algebras
Unified Framework for Quantification
Read-Tuned STT-RAM and eDRAM Cache Hierarchies for Throughput and Energy Enhancement
A Recursive Pyramidal Algorithm for Solving the Image Registration Problem
MGSfM: Multi-Camera Geometry Driven Global Structure-from-Motion
Terminal Phase Navigation for AUV Docking: An Innovative Electromagnetic Approach
Nonlinear Schrödinger Network
FSOCO: The Formula Student Objects in Context Dataset
UAV-Based Human Body Detector Selection and Fusion for Geolocated Saliency Map Generation
OODFace: Benchmarking Robustness of Face Recognition under Common Corruptions and Appearance Variations
Punctuation patterns in "Finnegans Wake" by James Joyce are largely translation-invariant
Adversarial Attacks and Defenses for Social Network Text Processing Applications: Techniques, Challenges and Future Research Directions
Does a sparse ReLU network training problem always admit an optimum?
Memory Reclamation for Recoverable Mutual Exclusion
MIRAGE: Assessing Hallucination in Multimodal Reasoning Chains of MLLM
Triadic closure as a basic generating mechanism of the structure of complex networks
Distributed robust secondary frequency control of inverter-based microgrids under time-varying communication delays
Modeling and benchmarking quantum optical neurons for efficient neural computation
Fully dynamic hierarchical diameter k-clustering and k-center
Residual Connection-Enhanced ConvLSTM for Lithium Dendrite Growth Prediction
Counting isomorphism classes of $β$-normal linear lambda terms
M-GEAR: Gateway-Based Energy-Aware Multi-Hop Routing Protocol for WSNs
Exploring internet radio across the globe with the MIRAGE online dashboard
Proving the stability estimates of variational least-squares Kernel-Based methods
Framework for Multi-task Multiple Kernel Learning and Applications in Genome Analysis
On-the-fly Large-scale Channel-Gain Estimation for Massive Antenna-Array Base Stations
A Correlation Based Feature Representation for First-Person Activity Recognition
Maximum Likelihood Mosaics
DynamoPMU: A Physics Informed Anomaly Detection and Prediction Methodology using non-linear dynamics from μPMU Measurement Data
Learning Functions to Study the Benefit of Multitask Learning
Accelerated training of deep learning surrogate models for surface displacement and flow, with application to MCMC-based history matching of CO2 storage operations
Zooming Out on Zooming In: Advancing Super-Resolution for Remote Sensing
NMPC-based Unified Posture Manipulation and Thrust Vectoring for Agile and Fault-Tolerant Flight of a Morphing Aerial Robot
Real-Time Detection of Insider Threats Using Behavioral Analytics and Deep Evidential Clustering
Deep Homography Estimation in Dynamic Surgical Scenes for Laparoscopic Camera Motion Extraction
Scientific Workflow Scheduling in Cloud Considering Cold Start and Variable Pricing Model
Convergent Anthropocene Systems-of-Systems: Overcoming the Limitations of System Dynamics with Hetero-functional Graph Theory
How much do LLMs learn from negative examples?
DIRECT: Deep Discriminative Embedding for Clustering of LIGO Data
Cephalometric Landmark Detection by AttentiveFeature Pyramid Fusion and Regression-Voting
Towards Programmable Network Dynamics: A Chemistry-Inspired Abstraction for Hardware Design
An Attention-based ConvLSTM Autoencoder with Dynamic Thresholding for Unsupervised Anomaly Detection in Multivariate Time Series
Targeted Mining Precise-positioning Episode Rules
Zak-OTFS: Pulse Shaping and the Tradeoff between Time/Bandwidth Expansion and Predictability
An Intermediate Language and Estimator for Automated Design Space Exploration on FPGAs
Nonuniversal power law scaling in the probability distribution of scientific citations
LookALike: Human Mimicry based collaborative decision making
App for Resume-Based Job Matching with Speech Interviews and Grammar Analysis: A Review
Cybersecurity AI: Evaluating Agentic Cybersecurity in Attack/Defense CTFs
Can We Predict the Next Question? A Collaborative Filtering Approach to Modeling User Behavior
On The Closest String and Substring Problems
LogAnMeta: Log Anomaly Detection Using Meta Learning
On Galois self-orthogonal algebraic geometry codes
Neuro-symbolic Meta Reinforcement Learning for Trading
New allocation rule based on graph structures and their application to economic phenomena
Video-as-Answer: Predict and Generate Next Video Event with Joint-GRPO
On the Pure Quantum Polynomial Hierarchy and Quantified Hamiltonian Complexity
Cubature Kalman filter Based on generalized minimum error entropy with fiducial point
Improved Asymptotic Key Rate of the B92 Protocol
Decision algorithms for reversibility of one-dimensional non-linear cellular automata under null boundary conditions
The Unheralded Value of the Multiway Rendezvous: Illustration with the Production Cell Benchmark
Dissecting Ethereum Blockchain Analytics: What We Learn from Topology and Geometry of Ethereum Graph
Sensing-Throughput analysis in NOMA-based CR Network
COVID-19: An exploration of consecutive systemic barriers to pathogen-related data sharing during a pandemic
Zip-zip Trees: Making Zip Trees More Balanced, Biased, Compact, or Persistent
Mutual Information Estimation via Score-to-Fisher Bridge for Nonlinear Gaussian Noise Channels
Variance-Adjusted Cosine Distance as Similarity Metric
TopoMap++: A faster and more space efficient technique to compute projections with topological guarantees
Work in progress: Identifying Two-Factor Authentication Support in Banking Sites
Feedback Control of Millimeter Scale Pivot Walkers Using Magnetic Actuation
Non-Autoregressive Translation with Layer-Wise Prediction and Deep Supervision
Independent Distributions on a Multi-Branching AND-OR Tree of Height 2
CardiSort: a convolutional neural network for cross vendor automated sorting of cardiac MR images
Merging without Forgetting: Continual Fusion of Task-Specific Models via Optimal Transport
On the Influence of Artificial Intelligence on Human Problem-Solving: Empirical Insights for the Third Wave in a Multinational Longitudinal Pilot Study
A combined network and machine learning approaches for product market forecasting
Attitude-Guided Loop Closure for Cameras with Negative Plane
Separable Cosparse Analysis Operator Learning
Symplectic Reservoir Representation of Legendre Dynamics
From Drone Imagery to Livability Mapping: AI-powered Environment Perception in Rural China
On the Complexity of Finding a Sparse Connected Spanning Subgraph in a non-Uniform Failure Model
Dynamic Nonparametric Edge-Clustering Model for Time-Evolving Sparse Networks
Automated Defect Detection and Grading of Piarom Dates Using Deep Learning
Hypothesis Testing for Automated Community Detection in Networks
Genetic Algorithm with Border Trades (GAB)
The Nature of Explosive Percolation Phase Transition
Effective Removal of Operational Log Messages: an Application to Model Inference
What Human-Horse Interactions may Teach us About Effective Human-AI Interactions
Designing Preconditioners for SGD: Local Conditioning, Noise Floors, and Basin Stability
Anisotropic Graph Convolutional Network for Semi-supervised Learning
Gesplat: Robust Pose-Free 3D Reconstruction via Geometry-Guided Gaussian Splatting
Empowering the trustworthiness of ML-based critical systems through engineering activities
GraphGen+: Advancing Distributed Subgraph Generation and Graph Learning On Industrial Graphs
Machine Learning-powered Iterative Combinatorial Auctions
Optimizing Energy Efficiency in Metro Systems Under Uncertainty Disturbances Using Reinforcement Learning
A Fully Polynomial Time Approximation Scheme for Fixed-Horizon Constrained Stochastic Shortest Path Problem under Local Transitions
A Sequential Meta-Transfer (SMT) Learning to Combat Complexities of Physics-Informed Neural Networks: Application to Composites Autoclave Processing
From Transthoracic to Transesophageal: Cross-Modality Generation using LoRA Diffusion
MaPPing Your Model: Assessing the Impact of Adversarial Attacks on LLM-based Programming Assistants
Neural Models for Source Code Synthesis and Completion
Which Broadcast Abstraction Captures $k$-Set Agreement?
Eroding Trust In Aerial Imagery: Comprehensive Analysis and Evaluation Of Adversarial Attacks In Geospatial Systems
Object Oriented Analysis using Natural Language Processing concepts: A Review
Virtual reality simulations of curved spaces
Evolutionary Programmer: Autonomously Creating Path Planning Programs based on Evolutionary Algorithms
Modeling Behavioral Preferences of Cyber Adversaries Using Inverse Reinforcement Learning
ContextGS: Compact 3D Gaussian Splatting with Anchor Level Context Model
COVID-Net CXR-S: Deep Convolutional Neural Network for Severity Assessment of COVID-19 Cases from Chest X-ray Images
Rotated Object Detection via Scale-invariant Mahalanobis Distance in Aerial Images
Foundations of Value of Information: A Semantic Metric for Networked Control Systems Tasks
Community detection in networks with unequal groups
Graph Neural Network Enhanced Approximate Message Passing for MIMO Detection
Improving Nonparametric Classification via Local Radial Regression with an Application to Stock Prediction
Learned Lossless Image Compression With Combined Autoregressive Models And Attention Modules
Combining Blotto Networks and Voter Models to Simulate Voter Behavior in Response to Competitive Election Spending
Two Results on LPT: A Near-Linear Time Algorithm and Parcel Delivery using Drones
PowerNet: Multi-agent Deep Reinforcement Learning for Scalable Powergrid Control
Learning to Represent Individual Differences for Choice Decision Making
Strong Preferences Affect the Robustness of Value Alignment
A toolbox for idea generation and evaluation: Machine learning, data-driven, and contest-driven approaches to support idea generation
Efficient GPU Thread Mapping on Embedded 2D Fractals
Rethinking the Relationship between Recurrent and Non-Recurrent Neural Networks: A Study in Sparsity
Simple and efficient GPU parallelization of existing H-Matrix accelerated BEM code
A Simple Transformer-Based Model for Ego4D Natural Language Queries Challenge
Transformative Influence of LLM and AI Tools in Student Social Media Engagement: Analyzing Personalization, Communication Efficiency, and Collaborative Learning
Data-Driven Adaptive Output Regulation of Unknown Linear Systems
Room transfer function reconstruction using complex-valued neural networks and irregularly distributed microphones
IntraLoss: Further Margin via Gradient-Enhancing Term for Deep Face Recognition
Accelerated point-wise maximum approach to approximate dynamic programming
NEXICA: Discovering Road Traffic Causality (Extended arXiv Version)
The hunt for research data: Development of an open-source workflow for tracking institutionally-affiliated research data publications
TechTexC: Classification of Technical Texts using Convolution and Bidirectional Long Short Term Memory Network
Reinforcement Learning-Driven Plant-Wide Refinery Planning Using Model Decomposition
Features matching using natural language processing
Construction of PMDS and SD Codes extending RAID 5
Counterfactual Explanations for Power System Optimisation
Compiler Enhanced Scheduling for OpenMP for Heterogeneous Multiprocessors
Differentially Private Sparse Linear Regression with Heavy-tailed Responses
Using In-Context Learning for Automatic Defect Labelling of Display Manufacturing Data
Multi-Gigabits Millimetre Wave Wireless Communications for 5G: From Fixed Access to Cellular Networks
A Generalized Criterion for Signature-based Algorithms to Compute Gröbner Bases
Towards the Worst-case Robustness of Large Language Models
Distributed Voting/Ranking with Optimal Number of States per Node
Once and for all: how to compose modules - The composition calculus
The Telephone Game: Evaluating Semantic Drift in Unified Models
Inferring 3D Shapes from Image Collections using Adversarial Networks
Adaptation of fictional and online conversations to communication media
Some Critical Thinking on EV Battery Reliability: from Enhancement to Optimization - comprehensive perspectives, lifecycle innovation, system cognation, and strategic insights
Extended Creativity: A Conceptual Framework for Understanding Human-AI Creative Relations
RemixTape: Enriching Narratives about Metrics with Semantic Alignment and Contextual Recommendation
ActGraph: Prioritization of Test Cases Based on Deep Neural Network Activation Graph
FTT-GRU: A Hybrid Fast Temporal Transformer with GRU for Remaining Useful Life Prediction
Active Thinking Model: A Goal-Directed Self-Improving Framework for Real-World Adaptive Intelligence
Out-of-Distribution Knowledge Distillation via Confidence Amendment
Robust Finite-Time Consensus Subject to Unknown Communication Time Delays Based on Delay-Dependent Criteria
A rational parametrization of Bézier like curves
Analysis of Asynchronous Protocols for Entanglement Distribution in Quantum Networks
Multi-vehicle Conflict Resolution in Highly Constrained Spaces by Merging Optimal Control and Reinforcement Learning
Large Language Models as Surrogate Models in Evolutionary Algorithms: A Preliminary Study
Policy Search in Continuous Action Domains: an Overview
Wearable Health Monitoring Using Capacitive Voltage-Mode Human Body Communication
ZK-DPPS: A Zero-Knowledge Decentralised Data Sharing and Processing Middleware
Occlusion-Robust FAU Recognition by Mining Latent Space of Masked Autoencoders
Human-Guided Shade Artifact Suppression in CBCT-to-MDCT Translation via Schrödinger Bridge with Conditional Diffusion
Breaking the cycle - Colleagues are all you need
A Split-Client Approach to Second-Order Optimization
Wireless Network Simplification: the Gaussian N-Relay Diamond Network
A Survey on the Memory Mechanism of Large Language Model based Agents
Wind Turbine Feature Detection Using Deep Learning and Synthetic Data
Deep Unsupervised Domain Adaptation for Time Series Classification: a Benchmark
Bias in Gender Bias Benchmarks: How Spurious Features Distort Evaluation
CryptoMoE: Privacy-Preserving and Scalable Mixture of Experts Inference via Balanced Expert Routing
CoRI: Synthesizing Communication of Robot Intent for Physical Human-Robot Interaction
MOVE: Motion-Guided Few-Shot Video Object Segmentation
On the Cleaning Lemma of Quantum Coding Theory
Peptide Binding Classification on Quantum Computers
Lessons Learned from Applying off-the-shelf BERT: There is no Silver Bullet
Dynamic Classifier-Free Diffusion Guidance via Online Feedback
Near Optimal Algorithm for Fault Tolerant Distance Oracle and Single Source Replacement Path problem
Higher-Order Low-Rank Regression
Biosecurity-Aware AI: Agentic Risk Auditing of Soft Prompt Attacks on ESM-Based Variant Predictors
An Experimental Framework for Implementing Decentralized Autonomous Database Systems in Rust
Optimizing Multi-Task Learning for Accurate Spacecraft Pose Estimation
Attention U-Net as a surrogate model for groundwater prediction
USO: Unified Style and Subject-Driven Generation via Disentangled and Reward Learning
Deep CNN for Coherent Seismic Noise Removal: A Perspective
Comprehensive Evaluation of CNN-Based Audio Tagging Models on Resource-Constrained Devices
Modeling power angle spectrum and antenna pattern directions in multipath propagation environment
Dynamics of Concept Learning and Compositional Generalization
Causal Effect Estimation: Recent Advances, Challenges, and Opportunities
hf0: A hybrid pitch extraction method for multimodal voice
Sustainable Data Democratization: A Multifaceted Investment for an Equitable Future
Approximate Inference in Continuous Determinantal Point Processes
A unified method for super-resolution recovery and real exponential-sum separation
Deep SR-ITM: Joint Learning of Super-resolution and Inverse Tone-Mapping for 4K UHD HDR Applications
Classifying complex documents: comparing bespoke solutions to large language models
Sashimi-Bot: Autonomous Tri-manual Advanced Manipulation and Cutting of Deformable Objects
Localization Procedure for Randomly Deployed Wireless Sensor Networks
ZTree: A Subgroup Identification Based Decision Tree Learning Framework
Emergence of Novelty in Evolutionary Algorithms
Affective State Detection using fNIRs and Machine Learning
Argument Attribution Explanations in Quantitative Bipolar Argumentation Frameworks (Technical Report)
An Entropy Power Inequality for Discrete Random Variables
Data-driven Nonlinear Predictive Control for Feedback Linearizable Systems
Deep Reinforcement Learning based Group Recommender System
Secure Degrees of Freedom of Multi-user Networks: One-Time-Pads in the Air via Alignment
Approximating Biobjective Minimization Problems Using General Ordering Cones
Constacyclic codes of length p s n over 𝔽 p m +u𝔽 p m
An Autonomous Drone System with Jamming and Relative Positioning Capabilities
IReEn: Iterative Reverse-Engineering of Black-Box Functions via Neural Program Synthesis
From GNNs to Symbolic Surrogates via Kolmogorov-Arnold Networks for Delay Prediction
Perfect Gradient Inversion in Federated Learning: A New Paradigm from the Hidden Subset Sum Problem
Equilibrium flow: From Snapshots to Dynamics
Private Empirical Risk Minimization, Revisited
Membership Inference Attack against Long-Context Large Language Models
Minimax Estimation of Quadratic Fourier Functionals