yusuke1997/dblp-id-title huggingface dataset:
Structured and Decorated Cospans from the Viewpoint of Double Category Theory
IB-Net: Initial Branch Network for Variable Decision in Boolean Satisfiability
Bayesian Natural Gradient Fine-Tuning of CLIP Models via Kalman Filtering
Knowledge-Aware Self-Correction in Language Models via Structured Memory Graphs
360-LLaMA-Factory: Plug & Play Sequence Parallelism for Long Post-Training
Efficient MAP Estimation of LLM Judgment Performance with Prior Transfer
Semi-Parametric Retrieval via Binary Token Index
Composition of Safety Constraints With Applications to Decentralized Fixed-Wing Collision Avoidance
Numerical Analysis of HiPPO-LegS ODE for Deep State Space Models
Gaussian Process-based Min-norm Stabilizing Controller for Control-Affine Systems with Uncertain Input Effects
Synthetic Human Action Video Data Generation with Pose Transfer
IDentity with Locality: An ideal hash for gene sequence search
Coherent-Classical Estimation for Quantum Linear Systems
Fluid Antenna-Empowered Receive Spatial Modulation
Optimal Subspace Expansion for Matrix Eigenvalue Problems
Single-Peakedness and Total Unimodularity: Efficiently Solve Voting Problems Without Even Trying
Distributed Continuous-time Approximate Projection Protocols for Shortest Distance Optimization Problems
A Structural Approach to Dynamic Migration in Petri Net Models of Structured Workflows
SemanticShield: LLM-Powered Audits Expose Shilling Attacks in Recommender Systems
Mutation-Based Adversarial Attacks on Neural Text Detectors
Distribution-Specific Learning for Joint Salient and Camouflaged Object Detection
On Pitfalls of RemOve-And-Retrain: Data Processing Inequality Perspective
Playmate2: Training-Free Multi-Character Audio-Driven Animation via Diffusion Transformer with Reward Feedback
Group-Theoretic Partial Matrix Multiplication
Image Co-skeletonization via Co-segmentation
Linear Convergence on Positively Homogeneous Functions of a Comparison Based Step-Size Adaptive Randomized Search: the (1+1) ES with Generalized One-fifth Success Rule
An Effective and Efficient Method to Solve the High-Order and the Non-Linear Ordinary Differential Equations: the Ratio Net
Accurate and Fast Federated Learning via IID and Communication-Aware Grouping
CNN-based Spoken Term Detection and Localization without Dynamic Programming
Improved Quick Hypervolume Algorithm
Organic Computing in the Spotlight
A Literature Review and Framework for Human Evaluation of Generative Large Language Models in Healthcare
ClickSight: Interpreting Student Clickstreams to Reveal Insights on Learning Strategies via LLMs
Data-Efficient Self-Supervised Algorithms for Fine-Grained Birdsong Analysis
The Philosophic Turn for AI Agents: Replacing centralized digital rhetoric with decentralized truth-seeking
FA-GAN: Fused Attentive Generative Adversarial Networks for MRI Image Super-Resolution
Making New Connections: LLMs as Puzzle Generators for The New York Times' Connections Word Game
Analytical and Simulation Performance of a Typical User in Random Cellular Network
A simulation environment for drone cinematography
Reconfigurable Design for Omni-adaptive Grasp Learning
Harmonic Summation-Based Robust Pitch Estimation in Noisy and Reverberant Environments
BEFT: Bias-Efficient Fine-Tuning of Language Models
Introduction to QUDO, Tensor QUDO and HOBO formulations: Qudits, Equivalences, Knapsack Problem, Traveling Salesman Problem and Combinatorial Games
Robust Mobile Object Tracking Based on Multiple Feature Similarity and Trajectory Filtering
StrengthSense: A Dataset of IMU Signals Capturing Everyday Strength-Demanding Activities
Image2Net: Datasets, Benchmark and Hybrid Framework to Convert Analog Circuit Diagrams into Netlists
Why Representation Engineering Works: A Theoretical and Empirical Study in Vision-Language Models
UniFS: Unified Multi-Contrast MRI Reconstruction via Frequency-Spatial Fusion
BrainNet: A Multi-Person Brain-to-Brain Interface for Direct Collaboration Between Brains
A Graph Neural Network-Based QUBO-Formulated Hamiltonian-Inspired Loss Function for Combinatorial Optimization using Reinforcement Learning
SONATA: Service Programming and Orchestration for Virtualized Software Networks
A Note on Cyclic Codes from APN Functions
Fast Polarization and Finite-Length Scaling for Non-Stationary Channels
A quantum walk with both a continuous-time and a continuous-spacetime limit
Conformal Predictions for Probabilistically Robust Scalable Machine Learning Classification
Predicting the activity of chemical compounds based on machine learning approaches
A Deep Learning-based Framework for Conducting Stealthy Attacks in Industrial Control Systems
360Brew: A Decoder-only Foundation Model for Personalized Ranking and Recommendation
Federated Consistency- and Complementarity-aware Consensus-enhanced Recommendation
2D and 3D CNN-Based Fusion Approach for COVID-19 Severity Prediction from 3D CT-Scans
LLM Based Bayesian Optimization for Prompt Search
Attacks on Third-Party APIs of Large Language Models
The Long Tail of Context: Does it Exist and Matter?
Reinforcement learning with experience replay and adaptation of action dispersion
User Activity Detection via Group Testing and Coded Computation
A novel two-point gradient method for Regularization of inverse problems in Banach spaces
Watersheds, waterfalls, on edge or node weighted graphs
A Similarity-preserving Neural Network Trained on Transformed Images Recapitulates Salient Features of the Fly Motion Detection Circuit
Small Drafts, Big Verdict: Information-Intensive Visual Reasoning via Speculation
Gradient-Based Mixed Planning with Discrete and Continuous Actions
Quasi-planar monomials over finite fields
Multi-Person Pose Estimation with Enhanced Feature Aggregation and Selection
Approximation schemes for bounded distance problems on fractionally treewidth-fragile graphs
HyperionSolarNet: Solar Panel Detection from Aerial Images
BliStrTune: Hierarchical Invention of Theorem Proving Strategies
Construction of Vietnamese SentiWordNet by using Vietnamese Dictionary
ARPaCCino: An Agentic-RAG for Policy as Code Compliance
CaSS: A Channel-aware Self-supervised Representation Learning Framework for Multivariate Time Series Classification
Resource-Aware Network Topology Management Framework
Challenges for Monocular 6D Object Pose Estimation in Robotics
AquaSignal: An Integrated Framework for Robust Underwater Acoustic Analysis
Constructing test instances for Basis Pursuit Denoising
Fundamental Inequalities and Identities Involving Mutual and Directed Informations in Closed-Loop Systems
Blockchain-Based Transferable Digital Rights of Land
RB-Modulation: Training-Free Personalization of Diffusion Models using Stochastic Optimal Control
Integration of LiDAR and Hyperspectral Data for Land-cover Classification: A Case Study
Bio-inspired speed detection and discrimination
MythTriage: Scalable Detection of Opioid Use Disorder Myths on a Video-Sharing Platform
MLSolv-A: A Novel Machine Learning-Based Prediction of Solvation Free Energies from Pairwise Atomistic Interactions
Predicting University Students' Academic Success and Choice of Major using Random Forests
Leveraging Semantics for Incremental Learning in Multi-Relational Embeddings
Verification of C++ Programs with VeriFast
A Decision Support System for Liver Diseases Prediction: Integrating Batch Processing, Rule-Based Event Detection and SPARQL Query
Un cadre paraconsistant pour l'{é}valuation de similarit{é} dans les bases de connaissances
Universal Compressed Sensing of Markov Sources
DiffPO: Diffusion-styled Preference Optimization for Efficient Inference-Time Alignment of Large Language Models
Trust Infrastructures for Virtual Asset Service Providers
Weakly-supervised Knowledge Graph Alignment with Adversarial Learning
Look, Learn and Leverage (L 3 ): Mitigating Visual-Domain Shift and Discovering Intrinsic Relations via Symbolic Alignment
SPLZ: An Efficient Algorithm for Single Source Shortest Path Problem Using Compression Method
The Faddeev-LeVerrier algorithm and the Pfaffian
Salt-and-Pepper Noise Removal Based on Sparse Signal Processing
A Sketching Algorithm for Spectral Graph Sparsification
VerifiAgent: a Unified Verification Agent in Language Model Reasoning
Stabilized MorteX method for mesh tying along embedded interfaces
Continual Learning with Self-Organizing Maps
Adversarial Classification via Distributional Robustness with Wasserstein Ambiguity
Probabilistic Attention based on Gaussian Processes for Deep Multiple Instance Learning
All You Need for Object Detection: From Pixels, Points, and Prompts to Next-Gen Fusion and Multimodal LLMs/VLMs in Autonomous Vehicles
A New Upper Bound on the Average Error Exponent for Multiple-Access Channels
Influence in Weighted Committees
Noisereduce: Domain General Noise Reduction for Time Series Signals
ECTIL: Label-efficient Computational Tumour Infiltrating Lymphocyte (TIL) assessment in breast cancer: Multicentre validation in 2,340 patients with breast cancer
Evaluation of Machine Learning Techniques for Forecast Uncertainty Quantification
Reducing Usefulness of Stolen Credentials in SSO Contexts
Uncovering the Perfect Place: Optimising Workflow Engine Deployment in the Cloud
Towards Interpretability in Audio and Visual Affective Machine Learning: A Review
ModelingToolkit: A Composable Graph Transformation System For Equation-Based Modeling
The α-Alternator: Dynamic Adaptation To Varying Noise Levels In Sequences Using The Vendi Score For Improved Robustness and Performance
Do We Need All the Synthetic Data? Towards Targeted Synthetic Image Augmentation via Diffusion Models
Computational Language Assessment in patients with speech, language, and communication impairments
Kramers-Wannier Duality and Factor Graphs
Detecting the Insider Threat with Long Short Term Memory (LSTM) Neural Networks
Explanation as Question Answering based on Design Knowledge
Voxel Graph Operators: Topological Voxelization, Graph Generation, and Derivation of Discrete Differential Operators from Voxel Complexes
Spectral Masking and Interpolation Attack (SMIA): A Black-box Adversarial Attack against Voice Authentication and Anti-Spoofing Systems
A Hierarchical Stitching Algorithm for Coded Compressed Sensing
Spiritual-LLM : Gita Inspired Mental Health Therapy In the Era of LLMs
Prototyping Multimodal GenAI Real-Time Agents with Counterfactual Replays and Hybrid Wizard-of-Oz
Compact Amplified Laser Power Stabilization Using Robust Active Disturbance Rejection Control with Sensor Noise Decoupling
Deep Metric Learning Model for Imbalanced Fault Diagnosis
Amplitude Prediction from Uplink to Downlink CSI against Receiver Distortion in FDD Systems
On an Algorithm for Obtaining All Binary Matrices of Special Class Related to V. E. Tarakanov's Formula
Unsupervised representational learning with recognition-parametrised probabilistic models
ChaosEater: Fully Automating Chaos Engineering with Large Language Models
Realization of Morphing Logic Gates in a Repressilator with Quorum Sensing Feedback
A Step towards Software Corrective Maintenance Using RCM model
DDL: A Dataset for Interpretable Deepfake Detection and Localization in Real-World Scenarios
Bio-inspired Polarization Event Camera
Quantum cognition beyond Hilbert space II: Applications
Federated Dynamical Low-Rank Training with Global Loss Convergence Guarantees
On the best accuracy using the h -adaptive finite element refinement
Multi-View Correlation Consistency for Semi-Supervised Semantic Segmentation
Leveraging Agency in Virtual Reality to Enable Situated Learning
Differentiable Robust LQR Layers
Adaptive Testing for LLM Evaluation: A Psychometric Alternative to Static Benchmarks
Coordinated Humanoid Robot Locomotion with Symmetry Equivariant Reinforcement Learning Policy
Optimal Resource Allocation for Full-Duplex IoT Systems Underlaying Cellular Networks with Mutual SIC NOMA
FIFA World Cup 2010: A Network Analysis of the Champion Team Play
Parking Space Ground Truth Test Automation by Artificial Intelligence Using Convolutional Neural Networks
Shifted-Windows Transformers for the Detection of Cerebral Aneurysms in Microsurgery
Diagnosing Reinforcement Learning for Traffic Signal Control
Soil Characterization of Watermelon Field through Internet of Things: A New Approach to Soil Salinity Measurement
Covering half-grids with lines and planes
Stochastic Model for Sunk Cost Bias
DualSchool: How Reliable are LLMs for Optimization Education?
Anomaly Detections in Internet traffic Using Empirical Measures
Automated Verification Of Role-Based Access Control Policies Constraints Using Prover9
House-GAN++: Generative Adversarial Layout Refinement Networks
A Comparative Evaluation of Automated Analysis Tools for Solidity Smart Contracts
Analysis of non-stationary multicomponent signals with a focus on the Compressive Sensing approach
Learning logic programs by finding minimal unsatisfiable subprograms
A note on the avoidability of binary patterns with variables and reversals
Improving Few-Shot Part Segmentation using Coarse Supervision
Neural Two-Stage Stochastic Optimization for Solving Unit Commitment Problem
Going In Style: Audio Backdoors Through Stylistic Transformations
A Simple and Fast Baseline for Tuning Large XGBoost Models
Contextual Memory Reweaving in Large Language Models Using Layered Latent State Reconstruction
TBD: Benchmarking and Analyzing Deep Neural Network Training
DBNode: A Decentralized Storage System for Big Data Storage in Consortium Blockchains
Efficient Language Model Training through Cross-Lingual and Progressive Transfer Learning
NAUTILUS: A Large Multimodal Model for Underwater Scene Understanding
Learning Compact Physics-Aware Delayed Photocurrent Models Using Dynamic Mode Decomposition
Exploring Pose-based Sign Language Translation: Ablation Studies and Attention Insights
CLEAR: Channel Learning and Enhanced Adaptive Reconstruction for Semantic Communication in Complex Time-Varying Environments
Re:Frame - Retrieving Experience From Associative Memory
Learning to regularize with a variational autoencoder for hydrologic inverse analysis
Capturing collective conflict dynamics with sparse social circuits
Transformers with Sparse Attention for Granger Causality
Self-produced Guidance for Weakly-supervised Object Localization
Predicting 4D Hand Trajectory from Monocular Videos
Enhancing the Spatial Awareness Capability of Multi-Modal Large Language Model
Skew Gaussian Processes for Classification
Recommending Training Set Sizes for Classification
Classification and clustering for samples of event time data using non-homogeneous Poisson process models
A Low-Depth Monotone Function that is not an Approximate Junta
Scalable Numerical Embeddings for Multivariate Time Series: Enhancing Healthcare Data Representation Learning
Network-Specific Models for Multimodal Brain Response Prediction
SynPAIN: A Synthetic Dataset of Pain and Non-Pain Facial Expressions
A Web-based Mpox Skin Lesion Detection System Using State-of-the-art Deep Learning Models Considering Racial Diversity
Short text classification with machine learning in the social sciences: The case of climate change on Twitter
Neural Decision Trees
Semi-Supervised Disparity Estimation with Deep Feature Reconstruction
Optimizing Multi-level Magic State Factories for Fault-Tolerant Quantum Architectures
Extending the Abstraction of Personality Types based on MBTI with Machine Learning and Natural Language Processing
Scaling Up Distributed Stochastic Gradient Descent Using Variance Reduction
e-SimFT: Alignment of Generative Models with Simulation Feedback for Pareto-Front Design Exploration
Knowledge-Driven Modulation of Neural Networks with Attention Mechanism for Next Activity Prediction
The Relationship between Deteriorating Mental Health Conditions and Longitudinal Behavioral Changes in Google and YouTube Usages among College Students in the United States during COVID-19: Observational Study
Weakly Supervised Visible-Infrared Person Re-Identification via Heterogeneous Expert Collaborative Consistency Learning
Token-Supervised Value Models for Enhancing Mathematical Reasoning Capabilities of Large Language Models
Identifying Driver Behaviors using Trajectory Features for Vehicle Navigation
Generalized Fast Approximate Energy Minimization via Graph Cuts: Alpha-Expansion Beta-Shrink Moves
Online Marker-free Extrinsic Camera Calibration using Person Keypoint Detections
Temperature-Resilient Reconfigurable PUF with Dual-Pulse Modulation based on SOT-MRAM Chip
NoiseHGNN: Synthesized Similarity Graph-Based Neural Network For Noised Heterogeneous Graph Representation Learning
On using Multiple Quality Link Metrics with Destination Sequenced Distance Vector Protocol for Wireless Multi-Hop Networks
Reducing End-to-End Latencies of Multi-Rate Cause-Effect Chains for the LET Model
Exploration by Random Reward Perturbation
Approximate solutions of convex semi-infinite optimization problems in finitely many iterations
Effectiveness of Adversarial Examples and Defenses for Malware Classification
A Program-Level Approach to Revising Logic Programs under the Answer Set Semantics
Reality-aware Sybil-Resilient Voting
Perceptual Influence: Improving the Perceptual Loss Design for Low-Dose CT Enhancement
Multi-stream Network With Temporal Attention For Environmental Sound Classification
Application of Machine Learning-Based Pattern Recognition in IoT Devices: Review
Solving Traffic4Cast Competition with U-Net and Temporal Domain Adaptation
10 quick tips for making your software outlive your job
Tasks Unlimited: Lightweight Task Offloading Exploiting MPI Wait Times for Parallel Adaptive Mesh Refinement
Some integer formula-encodings and related algorithms
A Unified Approach to Extract Intepretable Rules from Tree Ensembles via Integer Programming
The Role of Task Complexity in Reducing AI Plagiarism: A Study of Generative AI Tools
Observability transition in real networks
On Computability, Learnability and Extractability of Finite State Machines from Recurrent Neural Networks
Language Models Understand Numbers, at Least Partially
Design of a fault free Inverter Circuit using Minimum number of cells & related Kink Energy Calculation in Quantum dot Cellular Automata
Scheduling meets n-fold Integer Programming
Reinforcement Learning in Categorical Cybernetics
Measuring Fine-Grained Negotiation Tactics of Humans and LLMs in Diplomacy
A Marketplace for Trading AI Models based on Blockchain and Incentives for IoT Data
Learning Delaunay Triangulation using Self-attention and Domain Knowledge
L-Lipschitz Gershgorin ResNet Network
Sequential Hybrid Beamforming Design for Multi-Link mmwave Communication
A Rule-Based Approach To Prepositional Phrase Attachment Disambiguation
Cobol2Vec: Learning Representations of Cobol code
A Contextual-Bandit Approach to Personalized News Article Recommendation
PRESOL: a web-based computational setting for feature-based flare forecasting
Branching: the Essence of Constraint Solving
FO-definable transformations of infinite strings
Energy stability and convergence of variable-step L1 scheme for the time fractional Swift-Hohenberg model
APC-GNN++: An Adaptive Patient-Centric GNN with Context-Aware Attention and Mini-Graph Explainability for Diabetes Classification
Similarity-based Memory Enhanced Joint Entity and Relation Extraction
Application of Context-dependent Interpretation of Biosignals Recognition to Control a Bionic Multifunctional Hand Prosthesis
Exploring Cultures through Pattern Mining - Practices from Generative Beauty Workshops
A Mixture-of-Experts Framework with Log-Logistic Components for Survival Analysis on Histopathology Images
Induced 2-degenerate Subgraphs of Triangle-free Planar Graphs
LYT-Net: Lightweight YUV Transformer-based Network for Low-Light Image Enhancement
Learning to Localize Temporal Events in Large-scale Video Data
Polynomial kernel for immersion hitting in tournaments
ChatGPT as a Translation Engine: A Case Study on Japanese-English
Block-to-Scene Pre-training for Point Cloud Hybrid-Domain Masked Autoencoders
Deep Partition Aggregation: Provable Defense against General Poisoning Attacks
Separation of scales and a thermodynamic description of feature learning in some CNNs
Background Segmentation for Vehicle Re-Identification
BiLoRA: A Bi-level Optimization Framework for Overfitting-Resilient Low-Rank Adaptation of Large Pre-trained Models
On the Effect of Purely Synthetic Training Data for Different Automatic Speech Recognition Architectures
Forecasting Human Object Interaction: Joint Prediction of Motor Attention and Egocentric Activity
Digital herders and phase transition in a voting model
Conceptualizing Blockchains: Characteristics & Applications
A Unit Commitment Model with Demand Response for the Integration of Renewable Energies
Autonomously Unweaving Multiple Cables Using Visual Feedback
Multipath-dominant, pulsed doppler analysis of rotating blades
Concurrent games and semi-random determinacy
Skillful Twelve Hour Precipitation Forecasts using Large Context Neural Networks
Data-driven discovery of interpretable causal relations for deep learning material laws with uncertainty propagation
Threats to Pre-trained Language Models: Survey and Taxonomy
CIPARSim: Cache Intersection Property Assisted Rapid Single-pass FIFO Cache Simulation Technique
Meta Distribution for Downlink NOMA in Cellular Networks with 3GPP-inspired User Ranking
Finding Needles in Emb(a)dding Haystacks: Legal Document Retrieval via Bagging and SVR Ensembles
K-Nearest Neighbour and Support Vector Machine Hybrid Classification
KLoB: a Benchmark for Assessing Knowledge Locating Methods in Language Models
A Scalable Unsupervised Framework for multi-aspect labeling of Multilingual and Multi-Domain Review Data
Cons-free Programs and Complexity Classes between LOGSPACE and PTIME
Development of fall prevention training device that can provide external disturbance to the ankle with pneumatic gel muscles (PGM) while walking
Equivalences Among Aggregate Queries with Negation
ProstNFound+: A Prospective Study using Medical Foundation Models for Prostate Cancer Detection
Exploring the relationship between response time sequence in scale answering process and severity of insomnia: a machine learning approach
Smart Metadata in Action: The Social Impact Data Commons
Revealing the Intrinsic Ethical Vulnerability of Aligned Large Language Models
Empowering Real-World: A Survey on the Technology, Practice, and Evaluation of LLM-driven Industry Agents
PHORMA: Perfectly Hashed Order Restricted Multidimensional Array
How Does Controllability Emerge In Language Models During Pretraining?
Analysis of nonquadratic energy-conservative schemes for KdV type-equations
Proactive Tasks Management based on a Deep Learning Model
Ensemble learning for Physics Informed Neural Networks: a Gradient Boosting approach
Towards Quality Advancement of Underwater Machine Vision with Generative Adversarial Networks
Solution Space Topology Guides CMTS Search
SelfVIO: Self-Supervised Deep Monocular Visual-Inertial Odometry and Depth Estimation
Explainable AI and Adoption of Algorithmic Advisors: an Experimental Study
Concept Discovery for Fast Adapatation
ESG Sentiment Analysis: comparing human and language model performance including GPT
ERNIE-SAT: Speech and Text Joint Pretraining for Cross-Lingual Multi-Speaker Text-to-Speech
Cosine Similarity Search with Multi Index Hashing
Light-weight Locks
Computational Complexity of Tensor Nuclear Norm
Inducing Affective Lexical Semantics in Historical Language
Generalised Bent Criteria for Boolean Functions (II)
Towards Evaluating the Robustness of Chinese BERT Classifiers
Video-Teller: Enhancing Cross-Modal Generation with Fusion and Decoupling
Accelerated Block Coordinate Proximal Gradients with Applications in High Dimensional Statistics
Spring-Rod System Identification via Differentiable Physics Engine
Token-based identity management in the distributed cloud
Efficient deep learning models for land cover image classification
Hard Problems are Easier for Success-based Parameter Control
On the (In)security of Bluetooth Low Energy One-Way Secure Connections Only Mode
ASPO: Asymmetric Importance Sampling Policy Optimization
Enhancing NTRUEncrypt Security Using Markov Chain Monte Carlo Methods: Theory and Practice
Underwater Dense Mapping with the First Compact 3D Sonar
A Faster Patch Ordering Method for Image Denoising