yusuke1997/dblp-id-title huggingface dataset:
Computational bottlenecks for denoising diffusions
The Covering Radius of the Third-Order Reed-Muller Codes RM(3, 7) is 20
Stochastic Feedforward Neural Networks: Universal Approximation
RURA-Net: A general disease diagnosis method based on Zero-Shot Learning
A hierarchical distributed predictive control approach for microgrids energy management
Aggregate or Not? Exploring Where to Privatize in DNN Based Federated Learning Under Different Non-IID Scenes
ImagiNet: A Multi-Content Dataset for Generalizable Synthetic Image Detection via Contrastive Learning
Evidence Against Evidence Theory (?!)
Edge Rewiring Goes Neural: Boosting Network Resilience via Policy Gradient
B-PINNs: Bayesian Physics-Informed Neural Networks for Forward and Inverse PDE Problems with Noisy Data
Rating Roulette: Self-Inconsistency in LLM-As-A-Judge Frameworks
Investigating the Robustness and Properties of Detection Transformers (DETR) Toward Difficult Images
A generalization of tangent-based implicit curves
Automated Real Time Delineation of Supraclavicular Brachial Plexus in Neck Ultrasonography Videos: A Deep Learning Approach
LEAN-DMKDE: Quantum Latent Density Estimation for Anomaly Detection
Pose-independent 3D Anthropometry from Sparse Data
End-to-end Learning for Graph Decomposition
SugarTextNet: A Transformer-Based Framework for Detecting Sugar Dating-Related Content on Social Media with Context-Aware Focal Loss
Check Belief Propagation Decoding of LDPC Codes
Quantum Potential Games, Replicator Dynamics, and the Separability Problem
SVM and ELM: Who Wins? Object Recognition with Deep Convolutional Features from ImageNet
High-Order Paired-ASPP Networks for Semantic Segmenation
Unsupervised anomaly detection for a Smart Autonomous Robotic Assistant Surgeon (SARAS)using a deep residual autoencoder
Information flow based defensive chain for data leakage detection and prevention: a survey
The problem determination of Functional Dependencies between attributes Relation Scheme in the Relational Data Model. El problema de determinar Dependencias Funcionales entre atributos en los esquemas en el Modelo Relacional
Machine Learning Automated Approach for Enormous Synchrotron X-Ray Diffraction Data Interpretation
Collaborative Optimization in Financial Data Mining Through Deep Learning and ResNeXt
Advances in Biomedical Devices_A comprehensive Exploration of Cardiovascular and Ophthalmic Applications
Non-Destructive Peat Analysis using Hyperspectral Imaging and Machine Learning
Inferring Remote Channel State Information: Cramér-Rao Lower Bound and Deep Learning Implementation
Fast Adversarial Label-Flipping Attack on Tabular Data
Escaping the Curse of Dimensionality in Similarity Learning: Efficient Frank-Wolfe Algorithm and Generalization Bounds
Syntactic categories for dependent type theory: sketching and adequacy
Improving Context-Based Meta-Reinforcement Learning with Self-Supervised Trajectory Contrastive Learning
MentorNet: Regularizing Very Deep Neural Networks on Corrupted Labels
Enhanced Speech Emotion Recognition with Efficient Channel Attention Guided Deep CNN-BiLSTM Framework
Data-efficient rapid prediction of urban airflow and temperature fields for complex building geometries
Artificial Intelligence based Smart Doctor using Decision Tree Algorithm
Application specific dataflow machine construction for programming FPGAs via Lucent
CBLOCK: An Automatic Blocking Mechanism for Large-Scale De-duplication Tasks
Icentia11K: An Unsupervised Representation Learning Dataset for Arrhythmia Subtype Discovery
Exploring Feature Representation Learning for Semi-supervised Medical Image Segmentation
On-line Non-Convex Constrained Optimization
Pneumatic Multi-mode Silicone Actuator with Pressure, Vibration, and Cold Thermal Feedback
Shapley Marginal Surplus for Strong Models
Covariance Matrix Construction with Preprocessing-Based Spatial Sampling for Robust Adaptive Beamforming
From Human Intention to Action Prediction: A Comprehensive Benchmark for Intention-driven End-to-End Autonomous Driving
Multi-resolution Data Fusion for Super-Resolution Electron Microscopy
Evaluation of Multi- and Single-objective Learning Algorithms for Imbalanced Data
Medians and Beyond: New Aggregation Techniques for Sensor Networks
Towards Inductive Robustness: Distilling and Fostering Wave-induced Resonance in Transductive GCNs Against Graph Adversarial Attacks
Optimal execution strategy in the presence of permanent price impact and fixed transaction cost
SceneCompleter: Dense 3D Scene Completion for Generative Novel View Synthesis
Online Multi-Label Classification: A Label Compression Method
Probabilistic Finite Automaton Emptiness is undecidable
Interactive zoom display in smartphone-based digital holographic microscope for 3D imaging
Efficient computation of the Jacobi symbol
Reinforcement Learning for Multi-Objective Optimization of Online Decisions in High-Dimensional Systems
Decentralizing Permissioned Blockchain with Delay Towers
Dependency-aware Resource Allocation for Serverless Functions at the Edge
GreenDB: Toward a Product-by-Product Sustainability Database
Security and Safety Aspects of AI in Industry Applications
Grand Technologies for Grand Energy Challenges: A Futuristic Scenario for Solar Energy in the Age of Information
Scalable quantum detector tomography by high-performance computing
Auxiliary Heuristics for Frontier Based Planners
InterAgent: Physics-based Multi-agent Command Execution via Diffusion on Interaction Graphs
Privacy Inference Attacks and Defenses in Cloud-based Deep Neural Network: A Survey
Designing Gaze Analytics for ELA Instruction: A User-Centered Dashboard with Conversational AI Support
Variable Radiance Field for Real-Life Category-Specifc Reconstruction from Single Image
UniHetero: Could Generation Enhance Understanding for Vision-Language-Model at Large Data Scale?
Power-law Dynamic arising from machine learning
Knowledge Management Concepts For Training By Project An observation of the case of project management education
On a conjecture of Brouwer regarding the connectivity of strongly regular graphs
Computer Self-efficacy and Its Relationship with Web Portal Usage: Evidence from the University of the East
ORION: Teaching Language Models to Reason Efficiently in the Language of Thought
Barely Random Algorithms for Metrical Task Systems
Towards a Formal Framework for Mobile, Service-Oriented Sensor-Actuator Networks
A Fractional spectral method for weakly singular Volterra integro-differential equations with delays of the third-kind
Efficient Fully-Offline Meta-Reinforcement Learning via Distance Metric Learning and Behavior Regularization
Analyzing and Mitigating Object Hallucination: A Training Bias Perspective
XStacking: Explanation-Guided Stacked Ensemble Learning
Improved FPT Approximation for Non-metric TSP
Superpolynomial Lower Bounds for Decision Tree Learning and Testing
Feedback Indicators: The Alignment between Llama and a Teacher in Language Learning
Improved bounds on sample size for implicit matrix trace estimators
Infinite Brain MR Images: PGGAN-based Data Augmentation for Tumor Detection
DAAD: Dynamic Analysis and Adaptive Discriminator for Fake News Detection
f-INE: A Hypothesis Testing Framework for Estimating Influence under Training Randomness
Satellite Constellation Internet Affordability and Need
Continuous calibration of a digital twin: comparison of particle filter and Bayesian calibration approaches
SplaTraj: Camera Trajectory Generation with Semantic Gaussian Splatting
False-name-proofness with Bid Withdrawal
Human Motion Tracking by Registering an Articulated Surface to 3-D Points and Normals
Securing a UAV Using Individual Characteristics From an EEG Signal
A Novel and Reliable Deep Learning Web-Based Tool to Detect COVID-19 Infection from Chest CT-Scan
On the Sample Complexity of Learning Sparse Graphical Games
Imperfect Knowledge in Autonomous Urban Traffic Manoeuvres
JEMMA: An Extensible Java Dataset for ML4Code Applications
Occluded Human Body Capture with Self-Supervised Spatial-Temporal Motion Prior
Investigating Imperceptibility of Adversarial Attacks on Tabular Data: An Empirical Analysis
User-Centric Health Data Using Self-sovereign Identities
Evaluation of a Simple, Scalable, Parallel Best-First Search Strategy
Depth Enables Long-Term Memory for Recurrent Neural Networks
Modeling and Predicting Citation Count via Recurrent Neural Network with Long Short-Term Memory
On Pairwise Cost for Multi-Object Network Flow Tracking
Foundation Models in Dermatopathology: Skin Tissue Classification
Adaptive Density Tracking by Quadrature for Stochastic Differential Equations
SCoder: Iterative Self-Distillation for Bootstrapping Small-Scale Data Synthesizers to Empower Code LLMs
Using Deep Learning to Detect Digitally Encoded DNA Trigger for Trojan Malware in Bio-Cyber Attacks
Plan4MC: Skill Reinforcement Learning and Planning for Open-World Minecraft Tasks
Privacy4ICTD in India: Exploring Perceptions, Attitudes and Awareness about ICT Use
Focus on the present: a regularization method for the ASR source-target attention layer
EAM: Enhancing Anything with Diffusion Transformers for Blind Super-Resolution
Supervised Grammar Induction Using Training Data with Limited Constituent Information
Leveraging Herpangina Data to Enhance Hospital-level Prediction of Hand-Foot-and-Mouth Disease Admissions Using UPTST
NeRD: a Neural Response Divergence Approach to Visual Salience Detection
Finite-Dimensional Gaussian Approximation for Deep Neural Networks: Universality in Random Weights
Handling Incomplete Heterogeneous Data using a Data-Dependent Kernel
Differentially Private Parameter-Efficient Fine-tuning for Large ASR Models
A Multi-intersection Vehicular Cooperative Control based on End-Edge-Cloud Computing
Robust Bayesian compressed sensing over finite fields: asymptotic performance analysis
Deriving Abstract Interpreters from Skeletal Semantics
Egocentric Videoconferencing
MulliVC: Multi-lingual Voice Conversion With Cycle Consistency
A singular Riemannian geometry approach to Deep Neural Networks II. Reconstruction of 1-D equivalence classes
Patterns in Docker Compose Multi-Container Orchestration
A Simple Proof of the Universality of Invariant/Equivariant Graph Neural Networks
Secured Distributed Cognitive MAC
Automatic Endoscopic Ultrasound Station Recognition with Limited Data
Eye Gaze Controlled Interfaces for Head Mounted and Multi-Functional Displays in Military Aviation Environment
Comparison of Various Methods for the Calculation of the Distance Potential Field
TokenPowerBench: Benchmarking the Power Consumption of LLM Inference
Dreaming neural networks: forgetting spurious memories and reinforcing pure ones
Enhancing Cross-Modality Synthesis: Subvolume Merging for MRI-to-CT Conversion
What can knowledge graph alignment gain with Neuro-Symbolic learning approaches?
Rapid Variable Resolution Particle Initialization for Complex Geometries
Computing Minimum Tile Sets to Self-Assemble Colors Patterns
Desenvolvimento de modelo para predição de cotações de ação baseada em análise de sentimentos de tweets
Freezing of Gait Prediction From Accelerometer Data Using a Simple 1D-Convolutional Neural Network - 8th Place Solution for Kaggle's Parkinson's Freezing of Gait Prediction Competition
Crouzeix-Raviart and Raviart-Thomas finite-element error analysis on anisotropic meshes violating the maximum-angle condition
Scale-Invariant Object Detection by Adaptive Convolution with Unified Global-Local Context
Real-time Regulation of Detention Ponds via Feedback Control: Balancing Flood Mitigation and Water Quality
Verdi: Quality Estimation and Error Detection for Bilingual
Inf-Net: Automatic COVID-19 Lung Infection Segmentation from CT Scans
Applying Reinforcement Learning to Option Pricing and Hedging
Some extremal properties of the Fibonacci word
A generalization of Krull-Webster's theory to higher order convex functions: multiple $Γ$-type functions
Low-Rank Tensor Decompositions for the Theory of Neural Networks
Beyond Time: Cross-Dimensional Frequency Supervision for Time Series Forecasting
Features Based Text Similarity Detection
Improved BiGAN training with marginal likelihood equalization
An efficient algorithm for weighted sum-rate maximization in multicell downlink beamforming
We-Math 2.0: A Versatile MathBook System for Incentivizing Visual Mathematical Reasoning
Real Time Bearing Fault Diagnosis Based on Convolutional Neural Network and STM32 Microcontroller
Coupled Diffusion Sampling for Training-Free Multi-View Image Editing
Where LLM Agents Fail and How They can Learn From Failures
Functional Dependence of Secrets in a Collaboration Network
An Efficient Data Protection Architecture Based on Fragmentation and Encryption
Reinforcement Learning for Distributed Transient Frequency Control with Stability and Safety Guarantees
Fine-Tuning Causal LLMs for Text Classification: Embedding-Based vs. Instruction-Based Approaches
A Data Source Discovery Method using Several Domain Ontologies in P2P Environments (2014, IRIT research report)
AISafetyLab: A Comprehensive Framework for AI Safety Evaluation and Improvement
Point Cloud Unsupervised Pre-training via 3D Gaussian Splatting
Struct-MRT: Immersive Learning and Teaching of Design and Verification in Structural Civil Engineering using Mixed Reality
Offline Writer Identification based on the Path Signature Feature
Cross-Attention Fusion of Visual and Geometric Features for Large Vocabulary Arabic Lipreading
Effects and Coeffects in Call-By-Push-Value (Extended Version)
Adapting Brain-Like Neural Networks for Modeling Cortical Visual Prostheses
Reed-Solomon codes over small fields with constrained generator matrices
PALADIN: Self-Correcting Language Model Agents to Cure Tool-Failure Cases
Development and Validation of an Artificial Neural Network for the Recognition of Custom Dataset with YOLOv4
SWIFT:A Scalable lightWeight Infrastructure for Fine-Tuning
Investigation of Data Deletion Vulnerabilities in NAND Flash Memory Based Storage
WebFlow: Scalable and Decentralized Routing for Payment Channel Networks with High Resource Utilization
A Study on Binary Neural Networks Initialization
A Human-In-The-Loop Approach for Improving Fairness in Predictive Business Process Monitoring
Zero-Shot Learning with Knowledge Enhanced Visual Semantic Embeddings
Online convex optimization for constrained control of linear systems using a reference governor
You are here! Finding position and orientation on a 2D map from a single image: The Flatlandia localization problem and dataset
Tighter Generalisation Bounds via Interpolation
A Method for Assisting Novices Creating Class Diagrams Based on the Instructor's Class Layout
Improved Upper Bounds on all Maximal α-gapped Repeats and Palindromes
This House Proves that Debating is Harder than Soccer
Privacy preservation in continuous-time average consensus algorithm via deterministic additive perturbation signals
"Here Comes the Makeup Tutorial You Asked For!": Exploring Communication Strategies and Viewer Engagement in Beauty Videos on Rednote
Neighbor-Neighbor Correlations Explain Measurement Bias in Networks
CatNet: music source separation system with mix-audio augmentation
Connecting What to Say With Where to Look by Modeling Human Attention Traces
Network-GIANT: Fully distributed Newton-type optimization via harmonic Hessian consensus
Throughput Maximization for UAV-aided Backscatter Communication Networks
E3x: E(3)-Equivariant Deep Learning Made Easy
On Optimal Regularization Parameters via Bilevel Learning
Low-resolution Human Pose Estimation
Discretion in the Loop: Human Expertise in Algorithm-Assisted College Advising
Machine Learning Kernel Method from a Quantum Generative Model
Bayesian Tensor Filtering: Smooth, Locally-Adaptive Factorization of Functional Matrices
Screening for Sparse Online Learning
Comparison of different Artificial Neural Networks for Bitcoin price forecasting
Understanding and Evaluating Hallucinations in 3D Visual Language Models
Post-Quantum Cryptography: An Analysis of Code-Based and Lattice-Based Cryptosystems
On reducing the communication cost of the diffusion LMS algorithm
A small note on variation in segmentation annotations
Exploring Computer Science Concepts with a Ready-made Computer Game Framework
Kinetics-Informed Neural Networks
Deep Filtering: Signal Extraction Using Complex Time-Frequency Filters
Discontinuous Galerkin Deterministic Solvers for a Boltzmann-Poisson Model of Hot Electron Transport by Averaged Empirical Pseudopotential Band Structures
MCRAGE: Synthetic Healthcare Data for Fairness
Rationals vs Byzantines in Consensus-based Blockchains
Contribution to Blocker and Interdiction optimization problems in networks
Efficient Audio-Visual Fusion for Video Classification
A Chinese Multi-type Complex Questions Answering Dataset over Wikidata
Reducing the Human Effort in Developing PET-CT Registration
Distortion-Rate Functions for Quantized Compressive Sensing
ActivityCLIP: Enhancing Group Activity Recognition by Mining Complementary Information from Text to Supplement Image Modality
Causal Explanations Over Time: Articulated Reasoning for Interactive Environments
Discovering Pathology Rationale and Token Allocation for Efficient Multimodal Pathology Reasoning
Reducing Data Motion to Accelerate the Training of Deep Neural Networks
Online learning with Corrupted context: Corrupted Contextual Bandits
Ensemble Squared: A Meta AutoML System
BLI: A High-performance Bucket-based Learned Index with Concurrency Support
Data@Hand: Fostering Visual Exploration of Personal Data on Smartphones Leveraging Speech and Touch Interaction
Object Oriented and Functional Programming for Symbolic Manipulation
Fair-CoPlan: Negotiated Flight Planning with Fair Deconfliction for Urban Air Mobility
The strength of a simplex is the key to a continuous isometry classification of Euclidean clouds of unlabelled points
Numerical Algorithms for the Computation of Generalized Prolate Spheroidal Functions
Learning Neural Radiance Fields from Multi-View Geometry
Enhancing Next Active Object-based Egocentric Action Anticipation with Guided Attention
Understanding and measuring software engineer behavior: What can we learn from the behavioral sciences?
Beyond the Mirror: Personal Analytics through Visual Juxtaposition with Other People's Data
Viewpoints in co-design: a field study in concurrent engineering
The diameter of the world wide web
FFSplit: Split Feed-Forward Network For Optimizing Accuracy-Efficiency Trade-off in Language Model Inference
Design Principles Developed through User-Centered and Socio-Technical Methods Improve Clinician Satisfaction, Speed, and Confidence in Pharmacogenomic Clinical Decision Support
Characterizing Triviality of the Exponent Lattice of A Polynomial through Galois and Galois-Like Groups
User Intent Classification using Memory Networks: A Comparative Analysis for a Limited Data Scenario
Towards Automated Patent Workflows: AI-Orchestrated Multi-Agent Framework for Intellectual Property Management and Analysis
Deep Reinforcement Learning Enabled Joint Deployment and Beamforming in STAR-RIS Assisted Networks
Secure Digital Semantic Communications: Fundamentals, Challenges, and Opportunities
Password-authenticated Decentralized Identities
Ustnlp16 at SemEval-2025 Task 9: Improving Model Performance through Imbalance Handling and Focal Loss
Coupling parameter and particle dynamics for adaptive sampling in Neural Galerkin schemes
Learning light field synthesis with Multi-Plane Images: scene encoding as a recurrent segmentation task
Improved classical shadows from local symmetries in the Schur basis
Solving Zero-Shot 3D Visual Grounding as Constraint Satisfaction Problems
Review: Noise and artifact reduction for MRI using deep learning
Informal Control code logic
Off-Policy Multi-Agent Decomposed Policy Gradients
Real-Time Communication-Aware Ride-Sharing Route Planning for Urban Air Mobility: A Multi-Source Hybrid Attention Reinforcement Learning Approach
Infinitary λ-Calculi from a Linear Perspective (Long Version)
Data denoising with self consistency, variance maximization, and the Kantorovich dominance
An explicit dual control approach for constrained reference tracking of uncertain linear systems
Putting Humans in the Natural Language Processing Loop: A Survey
Power Allocation for Compute-and-Forward over Fading Channels
A Perspective on Individualized Treatment Effects Estimation from Time-series Health Data
Around Don's conjecture for binary completely reachable automata
Informational Bottlenecks in Two-Unicast Wireless Networks with Delayed CSIT
Secure Neighbor Discovery in Wireless Networks: Formal Investigation of Possibility
COVID-CXNet: Detecting COVID-19 in Frontal Chest X-ray Images using Deep Learning
Differentiable IFS Fractals
SongTrans: An unified song transcription and alignment method for lyrics and notes
Prompt-based Context- and Domain-aware Pretraining for Vision and Language Navigation
LatinCy: Synthetic Trained Pipelines for Latin NLP
Greedy Sampling Is Provably Efficient for RLHF
Predicting Out-of-Distribution Error with Confidence Optimal Transport
SART: Speeding up Query Processing in Sensor Networks with an Autonomous Range Tree Structure
Computing the crosscap number of a knot using integer programming and normal surfaces
Augmentation Backdoors
Well-conditioned dipole-type method of fundamental solutions: derivation and its mathematical analysis
Frequency Compensated Diffusion Model for Real-scene Dehazing
MAILS - Meta AI Literacy Scale: Development and Testing of an AI Literacy Questionnaire Based on Well-Founded Competency Models and Psychological Change- and Meta-Competencies
Task Frames
Network Motifs in Object-Oriented Software Systems
Stripe-Based Fragility Analysis of Concrete Bridge Classes Using Machine Learning Techniques
GenVC: Self-Supervised Zero-Shot Voice Conversion
Envy Freedom and Prior-free Mechanism Design
Locally Defined Independence Systems on Graphs
Comparing of switching frequency on vector controlled asynchronous motor
Harmonizing Diverse Models: A Layer-wise Merging Strategy for Consistent Generation
On Structuring Functional Programs with Monoidal Profunctors
Knowledge Distillation in Vision Transformers: A Critical Review
Usage Governance Advisor: from Intent to AI Governance
Multi-Objective Physics-Guided Recurrent Neural Networks for Identifying Non-Autonomous Dynamical Systems
Simple, Decidable Type Inference with Subtyping
Deep Multimodal Learning for Audio-Visual Speech Recognition
Enhancing Concept Localization in CLIP-based Concept Bottleneck Models
DiPS: Discriminative Pseudo-Label Sampling with Self-Supervised Transformers for Weakly Supervised Object Localization
Polar R-CNN: End-to-End Lane Detection with Fewer Anchors
Streamline-Based Simulation of Carbon Dioxide Sequestration in Saline Aquifers
Improved Approximation Algorithms for Steiner Connectivity Augmentation Problems
Complex support vector machines regression for robust channel estimation in LTE downlink system
DynSTG-Mamba: Dynamic Spatio-Temporal Graph Mamba with Cross-Graph Knowledge Distillation for Gait Disorders Recognition
Cluster based Key Management in Wireless Sensor Networks
RARO: Reliability-aware Conversion with Enhanced Read Performance for QLC SSDs
FairMixRep : Self-supervised Robust Representation Learning for Heterogeneous Data with Fairness constraints
Novel Mechanism to Defend DDoS Attacks Caused by Spam
Delivering data differently
On the Evolution of the Internet Economic Ecosystem
Reframing Audience Expansion through the Lens of Probability Density Estimation
RRT and RRT* Using Vehicle Dynamics
A Study in Zucker: Insights on Human-Robot Interactions
The SCORE normalization, especially for highly heterogeneous network and text data
On Principal Curve-Based Classifiers and Similarity-Based Selective Sampling in Time-Series
Diverse LLMs or Diverse Question Interpretations? That is the Ensembling Question
Efficient Reinforcement Learning for Large Language Models with Intrinsic Exploration
EidetiCom: A Cross-modal Brain-Computer Semantic Communication Paradigm for Decoding Visual Perception
A method for the classification of chimera states of coupled oscillators and its application for creating a neural network information converter
Blind Detection and Compensation of Camera Lens Geometric Distortions