yusuke1997/dblp-id-title huggingface dataset:
LoFA: Learning to Predict Personalized Priors for Fast Adaptation of Visual Generative Models
Human-centric Literature on Trust for SfTI Veracity Spearhead
IKDSumm: Incorporating Key-phrases into BERT for extractive Disaster Tweet Summarization
CREF: An LLM-based Conversational Software Repair Framework for Programming Tutors
Tree Codes and a Conjecture on Exponential Sums
A performance contextualization approach to validating camera models for robot simulation
Maintenance Techniques for Anomaly Detection AIOps Solutions
Affective Polarization Amongst Swedish Politicians
Mean-Biased Processes for Balanced Allocations
Boosted Training of Lightweight Early Exits for Optimizing CNN Image Classification Inference
On Expected Accuracy
Sarcasm Detection in Twitter - Performance Impact while using Data Augmentation: Word Embeddings
Generative Steganography with Kerckhoffs' Principle based on Generative Adversarial Networks
Enhancing Curriculum Acceptance among Students with E-learning 2.0
A Formal Model for Direct-style Asynchronous Observables
Influencers and the Giant Component: the Fundamental Hardness in Privacy Protection for Socially Contagious Attributes
GPT-4 Understands Discourse at Least as Well as Humans Do
Joint Majorization-Minimization for Nonnegative Matrix Factorization with the β-divergence
Self-supervised High-fidelity and Re-renderable 3D Facial Reconstruction from a Single Image
Llama Scope: Extracting Millions of Features from Llama-3.1-8B with Sparse Autoencoders
A Unified Process Model of Syntactic and Semantic Error Recovery in Sentence Understanding
Cognition Envelopes for Bounded AI Reasoning in Autonomous UAS Operations
Separation of water and fat signal in whole-body gradient echo scans using convolutional neural networks
A Practical Ply-Based Appearance Modeling for Knitted Fabrics
Do We Really Even Need Data?
Continuous Interior Penalty stabilization for divergence-free finite element methods
Advanced Weakly-Supervised Formula Exploration for Neuro-Symbolic Mathematical Reasoning
Lower Bounds for Compressed Sensing with Generative Models
U-index: A Universal Indexing Framework for Matching Long Patterns
Bringing NURC/SP to Digital Life: the Role of Open-source Automatic Speech Recognition Models
The Information-Theoretic Imperative: Compression and the Epistemic Foundations of Intelligence
ENSURE: Ensemble Stein's Unbiased Risk Estimator for Unsupervised Learning
Categorical Buechi and Parity Conditions via Alternating Fixed Points of Functors
Never Too Rigid to Reach: Adaptive Virtual Model Control with LLM- and Lyapunov-Based Reinforcement Learning
Efficient single image non-uniformity correction algorithm
A Note on the Quickest Minimum Cost Transshipment Problem
A Diversified Multi-Start Algorithm for Unconstrained Binary Quadratic Problems Leveraging the Graphics Processor Unit
Deep Representation Learning for Dynamical Systems Modeling
Decentralized Dynamic Task Allocation in Swarm Robotic Systems for Disaster Response
Convergence Constrained Multiuser Transmitter-Receiver Optimization in Single Carrier FDMA
Configurable Foundation Models: Building LLMs from a Modular Perspective
A Logic of Agent Organizations
SFV: Reinforcement Learning of Physical Skills from Videos
Deep Learning to See: Towards New Foundations of Computer Vision
Fast 3D Salient Region Detection in Medical Images using GPUs
Pronunciation Deviation Analysis Through Voice Cloning and Acoustic Comparison
A circular proof system for the hybrid mu-calculus
Quantum NLP models on Natural Language Inference
Box Drawings for Learning with Imbalanced Data
AthenaBench: A Dynamic Benchmark for Evaluating LLMs in Cyber Threat Intelligence
A chatbot architecture for promoting youth resilience
Myosotis: structured computation for attention like layer
"All that Glitters": Approaches to Evaluations with Unreliable Model and Human Annotations
Uncertainty-Aware Transient Stability-Constrained Preventive Redispatch: A Distributional Reinforcement Learning Approach
Consistent Checkpointing in Distributed Databases: Towards a Formal Approach
IncepFormerNet: A multi-scale multi-head attention network for SSVEP classification
Frequency-weighted H2-optimal Model Order Reduction via Projection
Understanding the Evolution of the Neural Tangent Kernel at the Edge of Stability
Multi-modal segmentation of 3D brain scans using neural networks
Communication Trade-offs in Federated Learning of Spiking Neural Networks
Time to Market Reduction for Hydrogen Fuel Cell Stacks using Generative Adversarial Networks
CLEAR: Causal Learning Framework For Robust Histopathology Tumor Detection Under Out-Of-Distribution Shifts
A unified machine learning approach to time series forecasting applied to demand at emergency departments
Reinforcement Learning based Design of Linear Fixed Structure Controllers
Improving DGA-Based Malicious Domain Classifiers for Malware Defense with Adversarial Machine Learning
Safe Bayesian Optimization using Interior-Point Methods - Applied to Personalized Insulin Dose Guidance
Data-driven Energy Management Strategy for Plug-in Hybrid Electric Vehicles with Real-World Trip Information
Resolving Multi-party Privacy Conflicts in Social Media
Show, Adapt and Tell: Adversarial Training of Cross-domain Image Captioner
Early Stopping Criteria for Training Generative Adversarial Networks in Biomedical Imaging
MotionMatcher: Motion Customization of Text-to-Video Diffusion Models via Motion Feature Matching
Hybrid Neural Networks for On-device Directional Hearing
Deep Deformable Registration: Enhancing Accuracy by Fully Convolutional Neural Net
OpenSubject: Leveraging Video-Derived Identity and Diversity Priors for Subject-driven Image Generation and Manipulation
Nonlinear dimensionality reduction for parametric problems: a kernel Proper Orthogonal Decomposition (kPOD)
Anomaly Detection for Skin Disease Images Using Variational Autoencoder
DeshuffleGAN: A Self-Supervised GAN to Improve Structure Learning
Music Genre Classification with Paralleling Recurrent Convolutional Neural Network
A planetary nervous system for social mining and collective awareness
Structurally Refined Graph Transformer for Multimodal Recommendation
A dictionary learning and source recovery based approach to classify diverse audio sources
New RIC Bounds via l_q-minimization with 0<q<=1 in Compressed Sensing
Security Performance Analysis of Physical Layer over Fisher-Snedecor 𝐹 Fading Channels
Quantized Embedding Vectors for Controllable Diffusion Language Models
Rough set based lattice structure for knowledge representation in medical expert systems: low back pain management case study
What really matters for person re-identification? A Mixture-of-Experts Framework for Semantic Attribute Importance
UWB-GCN: Hardware Acceleration of Graph-Convolution-Network through Runtime Workload Rebalancing
Adaptive Population-based Simulated Annealing for Uncertain Resource Constrained Job Scheduling
Boosting Unsupervised Domain Adaptation with Soft Pseudo-label and Curriculum Learning
Predicting Fine-grained Behavioral and Psychological Symptoms of Dementia Based on Machine Learning and Smart Wearable Devices
DropLeaf: a precision farming smartphone application for measuring pesticide spraying methods
In-Browser LLM-Guided Fuzzing for Real-Time Prompt Injection Testing in Agentic AI Browsers
Dirac-Bianconi Graph Neural Networks - Enabling Non-Diffusive Long-Range Graph Predictions
Scalable Temporal Localization of Sensitive Activities in Movies and TV Episodes
LoRA is All You Need for Safety Alignment of Reasoning LLMs
Scientists' First Exam: Probing Cognitive Abilities of MLLM via Perception, Understanding, and Reasoning
coNP Is Equal To NP
Fluid Volume Assignment for Flow-Based Biochips: State-of-the-Art and Research Challenges
svds-C: A Multi-Thread C Code for Computing Truncated Singular Value Decomposition
Graph Attention for Heterogeneous Graphs with Positional Encoding
Impact of Underwater Image Enhancement on Feature Matching
On Distributed Vector Estimation for Power and Bandwidth Constrained Wireless Sensor Networks
GraphOmni: A Comprehensive and Extendable Benchmark Framework for Large Language Models on Graph-theoretic Tasks
Beamforming Design with Fast Convergence for IRS-Aided Full-Duplex Communication
Competitive ratio versus regret minimization: achieving the best of both worlds
PAN: Pillars-Attention-Based Network for 3D Object Detection
Hamming Distance Oracle
Variational Continual Test-Time Adaptation
Space AI: Leveraging Artificial Intelligence for Space to Improve Life on Earth
Random Graph Generator for Bipartite Networks Modeling
PEEL: A Poisoning-Exposing Encoding Theoretical Framework for Local Differential Privacy
Analyzing the Generalizability of Deep Contextualized Language Representations For Text Classification
Anything-3D: Towards Single-view Anything Reconstruction in the Wild
Optimize TSK Fuzzy Systems for Big Data Classification Problems: Bag of Tricks
Fault-tolerant Identifying Codes in Special Classes of Graphs
AnimeGaze: Real-Time Mutual Gaze Synthesis for Anime-Style Avatars in Physical Environments via Behind-Display Camera
A First Look at Duplicate and Near-duplicate Self-admitted Technical Debt Comments
Abstractive Summary Generation for the Urdu Language
From Natural Language to Solver-Ready Power System Optimization: An LLM-Assisted, Validation-in-the-Loop Framework
A Graph-Neural-Network-Entropy model of vital node identification on network attack and propagation
A Data-driven Crowd Simulation Framework Integrating Physics-informed Machine Learning with Navigation Potential Fields
Defending Malware Classification Networks Against Adversarial Perturbations with Non-Negative Weight Restrictions
A Computer Vision-Based Approach for Driver Distraction Recognition using Deep Learning and Genetic Algorithm Based Ensemble
SAV-SE: Scene-aware Audio-Visual Speech Enhancement with Selective State Space Model
SLIF-MR: Self-loop Iterative Fusion of Heterogeneous Auxiliary Information for Multimodal Recommendation
TC-LIF: A Two-Compartment Spiking Neuron Model for Long-term Sequential Modelling
Multiscale methods for signal selection in single-cell data
Optimizing Scalar Selection in Elliptic Curve Cryptography Using Differential Evolution for Enhanced Security
ActiveGuard: An Active DNN IP Protection Technique via Adversarial Examples
PipeRAG: Fast Retrieval-Augmented Generation via Algorithm-System Co-design
A Critical Comparison on Attitude Estimation: From Gaussian Approximate Filters to Coordinate-free Dual Optimal Control
Efficient Climate Simulation via Machine Learning Method
Practical language based on systems of definitions
Quantum Structure in Cognition: Fundamentals and Applications
Research of an optimization model for servicing a network of ATMs and information payment terminals
Equivariant Sampling for Improving Diffusion Model-based Image Restoration
Quasi-optimal time-space discretizations for a class of nonlinear parabolic PDEs
Entity Augmentation for Efficient Classification of Vertically Partitioned Data with Limited Overlap
Perfect Graph Modification Problems: An Integer Programming Approach
Between Arrow and Gibbard-Satterthwaite; A representation theoretic approach
Pseudo Labeling and Negative Feedback Learning for Large-scale Multi-label Domain Classification
DSmT: A new paradigm shift for information fusion
Lower Bounds for Two-Sample Structural Change Detection in Ising and Gaussian Models
Helping the Helper: Supporting Peer Counselors via AI-Empowered Practice and Feedback
A Revisit of Shape Editing Techniques: from the Geometric to the Neural Viewpoint
Long-term Frame-Event Visual Tracking: Benchmark Dataset and Baseline
Analyzing Chromatin Using Tiled Binned Scatterplot Matrices
RefConv: Re-parameterized Refocusing Convolution for Powerful ConvNets
Forward-Backward Reinforcement Learning
MIMO Systems Aided by Microwave Linear Analog Computers: Capacity-Achieving Architectures with Reduced Circuit Complexity
A Novel HOC-Immersed Interface Approach For Elliptic Problems
Makeup like a superstar: Deep Localized Makeup Transfer Network
AKConv: Convolutional Kernel with Arbitrary Sampled Shapes and Arbitrary Number of Parameters
Variational Registration of Multiple Images with the SVD based SqN Distance Measure
Sidechains and interoperability
Predicting Transonic Flowfields in Non-Homogeneous Unstructured Grids Using Autoencoder Graph Convolutional Networks
Rules in Play: On the Complexity of Routing Tables and Firewalls
Keypoint based Sign Language Translation without Glosses
Ligand Pose Optimization with Atomic Grid-Based Convolutional Neural Networks
Regulating Stability Margins in Symbiotic Control: A Low-Pass Filter Approach
Interactive Topic Models with Optimal Transport
On the structure of (dart, odd hole)-free graphs
Selection of Supervised Learning-based Sparse Matrix Reordering Algorithms
LHPF: Look back the History and Plan for the Future in Autonomous Driving
Ciw: An open source discrete event simulation library
DynaShard: Secure and Adaptive Blockchain Sharding Protocol with Hybrid Consensus and Dynamic Shard Management
The POLAR Traverse Dataset: A Dataset of Stereo Camera Images Simulating Traverses across Lunar Polar Terrain under Extreme Lighting Conditions
Accelerating Visual Reinforcement Learning with Separate Primitive Policy for Peg-in-Hole Tasks
Representation and Regression Problems in Neural Networks: Relaxation, Generalization, and Numerics
Compression Spectrum: Where Shannon meets Fourier
VGRP-Bench: Visual Grid Reasoning Puzzle Benchmark for Large Vision-Language Models
DeCodec: Rethinking Audio Codecs as Universal Disentangled Representation Learners
Generalized Few-Shot Out-of-Distribution Detection
Bayesian optimization with local search
A Data-Driven Framework for Identifying Investment Opportunities in Private Equity
Particle swarm optimization with Applications to Maximum Likelihood Estimation and Penalized Negative Binomial Regression
Communications Performance Analysis of Wireless Multiple Access Channel with Specially Correlated Sources
End-user Comprehension of Transfer Risks in Smart Contracts
Improving the Vector Basis Neural Network for RANS Equations Using Separate Trainings
Multiple inheritance hazards in algebraic typeclass hierarchies
RefVOS: A Closer Look at Referring Expressions for Video Object Segmentation
Confronting Catastrophic Risk: The International Obligation to Regulate Artificial Intelligence
Low-probability Tokens Sustain Exploration in Reinforcement Learning with Verifiable Reward
A GPT-based Code Review System for Programming Language Learning
Near-perfect Reachability of Variational Quantum Search with Depth-1 Ansatz
Detecting Flow Gaps in Data Streams
The Price equation reveals a universal force-metric-bias law of algorithmic learning and natural selection
HNN extensions of free groups with equal associated subgroups of finite index: polynomial time word problem
Dynamic Trend Fusion Module for Traffic Flow Prediction
Backdoor Attacks on Dense Passage Retrievers for Disseminating Misinformation
A World of Difference: Divergent Word Interpretations among People
ECRC: Emotion-Causality Recognition in Korean Conversation for GCN
"Flux+Mutability": A Conditional Generative Approach to One-Class Classification and Anomaly Detection
Geometric Programming Problem with Co-Efficients and Exponents Associated with Binary Numbers
A Semi-global Hybrid Sensorless Observer for Permanent Magnets Synchronous Machines with Unknown Mechanical Model
Neural-Network-Enhanced Metalens Camera for High-Definition, Dynamic Imaging in the Long-Wave Infrared Spectrum
Provably positivity-preserving, globally divergence-free central DG methods for ideal MHD system
A ℓ 2 -ℓ p regulariser based model for Poisson noise removal using augmented Lagrangian method
Boosted Genetic Algorithm using Machine Learning for traffic control optimization
Percolation in self-similar networks
Social Media Writing Style Fingerprint
Transformer-Based Denoising of Mechanical Vibration Signals
Transformer-Based Microbubble Localization
Audio Watermarking with Error Correction
Maximum Weight Entropy
SWNet: Small-World Neural Networks and Rapid Convergence
RAGNet: Large-scale Reasoning-based Affordance Segmentation Benchmark towards General Grasping
Nonparametric Inference For Density Modes
RDPO: Real Data Preference Optimization for Physics Consistency Video Generation
Defining and Surveying Wireless Link and Network Virtualization
Dirichlet Meets Horvitz and Thompson: Estimating Homophily in Large Networks via Sampling
Automated Discovery of Pairwise Interactions from Unstructured Data
End-to-end Deep Learning Pipeline for Microwave Kinetic Inductance Detector (MKID) Resonator Identification and Tuning
Faster Inference Time for GNNs using coarsening
Sub-Dividing Genetic Method for Optimization Problems
A Volumetric Approach to Privacy of Dynamical Systems
CRAFT-E: A Neuro-Symbolic Framework for Embodied Affordance Grounding
Validation of a Microsimulation of the Port of Dover
In-Depth Benchmarking of Graph Database Systems with the Linked Data Benchmark Council (LDBC) Social Network Benchmark (SNB)
Ontology-driven Information Extraction
AdaptInfer: Adaptive Token Pruning for Vision-Language Model Inference with Dynamical Text Guidance
Unfolding communities in large complex networks: Combining defensive and offensive label propagation for core extraction
An explainable approach to detect case law on housing and eviction issues within the HUDOC database
Convergence and Complexity of Stochastic Block Majorization-Minimization
Fine-Tuning Diffusion Models via Intermediate Distribution Shaping
Data-driven generation of plausible tissue geometries for realistic photoacoustic image synthesis
Intelligent matter consisting of active particles
An Attention-Assisted Multi-Modal Data Fusion Model for Real-Time Estimation of Underwater Sound Velocity
ChatGPT Application In Summarizing An Evolution Of Deep Learning Techniques In Imaging: A Qualitative Study
Control Flow Management in Modern GPUs
Challenging deep image descriptors for retrieval in heterogeneous iconographic collections
A Practitioner's Guide to Multi-turn Agentic Reinforcement Learning
Optimal Honeypot Ratio and Convergent Fictitious-Play Learning in Signaling Games for CPS Defense
How Do Developers Use Code Suggestions in Pull Request Reviews?
Kernel-based multi-step predictors for data-driven analysis and control of nonlinear systems through the velocity form
Positive region preserved random sampling: an efficient feature selection method for massive data
DiffColor: Toward High Fidelity Text-Guided Image Colorization with Diffusion Models
Distributed client selection with multi-objective in federated learning assisted Internet of Vehicles
The recoverability limit for superresolution via sparsity
Weak measurement combined with quantum delayed-choice experiment and implementation in optomechanical system
Advanced channel coding for space mission telecommand links
On Product Codes with Probabilistic Amplitude Shaping for High-Throughput Fiber-Optic Systems
Towards Cost-efficient Sampling Methods
On the Age of Information in Single-Server Queues with Aged Updates
Perturbation of invariant subspaces for ill-conditioned eigensystem
Temporal Label Smoothing for Early Prediction of Adverse Events
The Anatomy of Big Data Computing
Controllability and Vector Potential: Six Lectures at Steklov
Towards Combating Pandemic-related Misinformation in Social Media
Stochastic Sampling from Deterministic Flow Models
Who Owns the Data? A Systematic Review at the Boundary of Information Systems and Marketing
With Great Dispersion Comes Greater Resilience: Efficient Poisoning Attacks and Defenses for Online Regression Models
Balancing exploration and exploitation phases in whale optimization algorithm: an insightful and empirical analysis
Feature Concepts for Data Federative Innovations
Data Ordering Patterns for Neural Machine Translation: An Empirical Study
One to rule them all: Towards Joint Indic Language Hate Speech Detection
Model Transparency and Interpretability : Survey and Application to the Insurance Industry
Benign Oscillation of Stochastic Gradient Descent with Large Learning Rates
Constructing and Interpreting Causal Knowledge Graphs from News
Variational Quantum Algorithms for Trace Distance and Fidelity Estimation
The Vulnerabilities of Graph Convolutional Networks: Stronger Attacks and Defensive Techniques
Distilled Single Cell Genome Sequencing and De Novo Assembly for Sparse Microbial Communities
Périphériques haptiques et simulation d'objets, de robots et de mannequins dans un environnement de CAO-Robotique : eM-Virtual Desktop
Wilkins: HPC In Situ Workflows Made Easy
The Parma Polyhedra Library: Toward a Complete Set of Numerical Abstractions for the Analysis and Verification of Hardware and Software Systems
Comparing Knowledge: An Analysis of the Relative Epistemic Powers of Groups
Mass-Univariate Hypothesis Testing on MEEG Data using Cross-Validation
Trusted Approximate Policy Iteration with Bisimulation Metrics
Does Explicit Prediction Matter in Energy Management Based on Deep Reinforcement Learning?
General Capacity for Deterministic Dissemination in Wireless Ad Hoc Networks
Motion Prediction of Traffic Actors for Autonomous Driving using Deep Convolutional Networks
Tuning-free Plug-and-Play Hyperspectral Image Deconvolution with Deep Priors
Non-exchangeable Conformal Prediction with Optimal Transport: Tackling Distribution Shifts with Unlabeled Data
Physical Constraint Embedded Neural Networks for inference and noise regulation
GAMER PAT: Research as a Serious Game
Optimal diagnostic tests for sporadic Creutzfeldt-Jakob disease based on support vector machine classification of RT-QuIC data
Iterative Active-Inactive Obstacle Classification for Time-Optimal Collision Avoidance
3D Meta Point Signature: Learning to Learn 3D Point Signature for 3D Dense Shape Correspondence
Normalizations of factorizations over convex cones and their effects on extension complexity
State Space Advanced Fuzzy Cognitive Map approach for automatic and non Invasive diagnosis of Coronary Artery Disease
Risk-anticipatory autonomous driving strategies considering vehicles' weights, based on hierarchical deep reinforcement learning
Control of cascading failures in dynamical models of power grids
Discrete quadratic model QUBO solution landscapes
Dreamguider: Improved Training free Diffusion-based Conditional Generation
Hybrid approaches for automatic vowelization of Arabic texts
Perceptual similarity between piano notes: Simulations with a template-based perception model
Consistent Cross-view Matching for Unsupervised Person Re-identification
Algorithms for Communication Problems for Mobile Agents Exchanging Energy
Syn-Diag: An LLM-based Synergistic Framework for Generalizable Few-shot Fault Diagnosis on the Edge
VIPPrint: A Large Scale Dataset of Printed and Scanned Images for Synthetic Face Images Detection and Source Linking
A Sensorimotor Reinforcement Learning Framework for Physical Human-Robot Interaction
End-To-End Prediction of Knee Osteoarthritis Progression With Multi-Modal Transformers
EvolveHypergraph: Group-Aware Dynamic Relational Reasoning for Trajectory Prediction
Estimating verification time
BCD: A Cross-Architecture Binary Comparison Database Experiment Using Locality Sensitive Hashing Algorithms
Diseño de un espacio semántico sobre la base de la Wikipedia. Una propuesta de análisis de la semántica latente para el idioma español
A new operational matrix based on Bernoulli polynomials
Robotic Navigation using Entropy-Based Exploration
vSMC: Parallel Sequential Monte Carlo in C++
On the universality of S n -equivariant k-body gates
Link and Location Based Routing Mechanism for Energy Efficiency in Wireless Sensor Networks
Label-shift robust federated feature screening for high-dimensional classification
Learning Patterns from Biological Networks: A Compounded Burr Probability Model
Improved Bi-point Rounding Algorithms and a Golden Barrier for k-Median
Make-A-Character 2: Animatable 3D Character Generation From a Single Image
Human-Robot Trust Integrated Task Allocation and Symbolic Motion planning for Heterogeneous Multi-robot Systems
Pickup & Delivery with Time Windows and Transfers: combining decomposition with metaheuristics