yusuke1997/dblp-id-title huggingface dataset:
Neural Sampling Machine with Stochastic Synapse allows Brain-like Learning and Inference
Neural Attention for Image Captioning: Review of Outstanding Methods
Can graph properties have exponential quantum speedup?
A Privacy-Preserving Cloud Architecture for Distributed Machine Learning at Scale
The Impact of Software Testing with Quantum Optimization Meets Machine Learning
Random geometries and Quasi Monte Carlo methods for optimal control PDE problems based on fictitious domain FEMS and cut elements
Attention Guided Dialogue State Tracking with Sparse Supervision
Stochastic geometric modelling and simulation of cellular systems for coverage probability characterization
On the Stability and Convergence of Physics Informed Neural Networks
Quasiperiodicity and non-computability in tilings
A Linear Kernel for Planar Vector Domination
Everything is a Video: Unifying Modalities through Next-Frame Prediction
Neural network guided adjoint computations in dual weighted residual error estimation
An Incidence Geometry approach to Dictionary Learning
EICopilot: Search and Explore Enterprise Information over Large-scale Knowledge Graphs with LLM-driven Agents
Federated Progressive Self-Distillation with Logits Calibration for Personalized IIoT Edge Intelligence
Field-of-View Extension for Diffusion MRI via Deep Generative Models
Stochastic Decision-Making Model for Aggregation of Residential Units with PV-Systems and Storages
HLO: Half-kernel Laplacian Operator for Surface Smoothing
Beyond Self-Talk: A Communication-Centric Survey of LLM-Based Multi-Agent Systems
More Compact Oracles for Approximate Distances in Planar Graphs
Parametric Depth Based Feature Representation Learning for Object Detection and Segmentation in Bird's Eye View
SEA: Semantic Map Prediction for Active Exploration of Uncertain Areas
RGB-D Semantic SLAM for Surgical Robot Navigation in the Operating Room
BrainDreamer: Reasoning-Coherent and Controllable Image Generation from EEG Brain Signals via Language Guidance
User-in-the-loop Adaptive Intent Detection for Instructable Digital Assistant
Uplink Downlink Rate Balancing and throughput scaling in FDD Massive MIMO Systems
LSTMs Compose (and Learn) Bottom-Up
Quality Assessment and Distortion-aware Saliency Prediction for AI-Generated Omnidirectional Images
CellGenNet: A Knowledge-Distilled Framework for Robust Cell Segmentation in Cancer Tissues
ERSFQ 8-bit Parallel Arithmetic Logic Unit
Biological Computing Fundamentals and Futures
Conformal Prediction for Compositional Data
A multi-dimensional unsupervised machine learning framework for clustering residential heat load profiles
Space-efficient SLP Encoding for O(log N)-time Random Access
Probabilistic Visual Secret Sharing Schemes for Gray-scale images and Color images
Information-Theoretic Characterization of Vowel Harmony: A Cross-Linguistic Study on Word Lists
Signal-informed DNN-based DOA Estimation combining an External Microphone and GCC-PHAT Features
Regular Expression Indexing for Log Analysis. Extended Version
Implicit Knowledge in Unawareness Structures
Convexity Analysis of Snake Models Based on Hamiltonian Formulation
BVI-Lowlight: Fully Registered Benchmark Dataset for Low-Light Video Enhancement
Fast and robust curve skeletonization for real-world elongated objects
Automatic Identification of Alzheimer's Disease using Lexical Features extracted from Language Samples
Incremental Causal Graph Learning for Online Cyberattack Detection in Cyber-Physical Infrastructures
Deep Graph Similarity Learning: A Survey
Matroid-reachability-based decomposition into arborescences
Optimizing Sequencing Coverage Depth in DNA Storage: Insights From DNA Storage Data
Generative Modeling with Phase Stochastic Bridges
Contrastive Learning with Large Memory Bank and Negative Embedding Subtraction for Accurate Copy Detection
Multiple Redundancy Constants with Trickle
Multi-objective optimization: basic approaches and moving beyond them through flexible skyline queries
Distributed, End-to-end Verifiable, and Privacy-Preserving Internet Voting Systems
ReplicationBench: Can AI Agents Replicate Astrophysics Research Papers?
LASIL: Learner-Aware Supervised Imitation Learning For Long-term Microscopic Traffic Simulation
Overview of Routing Approaches in Quantum Key Distribution Networks
Regularized Multi-LLMs Collaboration for Enhanced Score-based Causal Discovery
Anti-Jamming Sensing with Distributed Reconfigurable Intelligent Metasurface Antennas
The Next Frontier of LLM Applications: Open Ecosystems and Hardware Synergy
Identifying second order accurate boundary conditions for WCSPH
Agent enabled Mining of Distributed Protein Data Banks
A Jumping Mining Attack and Solution
An Ontology-based Adaptive Personalized E-learning System, Assisted by Software Agents on Cloud Storage
A Large-Scale Exploit Instrumentation Study of AI/ML Supply Chain Attacks in Hugging Face Models
Aligning Attention with Human Rationales for Self-Explaining Hate Speech Detection
Low-Complexity Channel Estimation in OTFS Systems with Fractional Effects
FIPA-based Interoperable Agent Mobility Proposal
Rethinking negative sampling in content-based news recommendation
LSEG: A Lightweight and Secure Key Exchange Protocol for Smart Grid Communication
A Constraint-Enforcing Reward for Adversarial Attacks on Text Classifiers
Application of probabilistic modeling and automated machine learning framework for high-dimensional stress field
Robust Online Residual Refinement via Koopman-Guided Dynamics Modeling
Rothe's method in direct and time-dependent inverse source problems for a semilinear pseudo-parabolic equation
Data-driven Verification of Procedural Programs with Integer Arrays
An All-digital 65-nm Tsetlin Machine Image Classification Accelerator with 8.6 nJ per MNIST Frame at 60.3k Frames per Second
Notes on a Path to AI Assistance in Mathematical Reasoning
Geometry and Dynamics for Markov Chain Monte Carlo
Sampling Strategies for Robust Universal Quadrupedal Locomotion Policies
K-method of calculating the mutual influence of nodes in a directed weight complex networks
Human 3Diffusion: Realistic Avatar Creation via Explicit 3D Consistent Diffusion Models
How to Use Graph Data in the Wild to Help Graph Anomaly Detection?
Early-MFC: Enhanced Flow Correlation Attacks on Tor via Multi-view Triplet Networks with Early Network Traffic
Stochastic Service Placement
Pathwise convergence of the Euler scheme for rough and stochastic differential equations
User-centered Feedback Design in Person-following Robots for Older Adults
Fisher-Rao Gradient Flow: Geodesic Convexity and Functional Inequalities
Speech Representation Learning Revisited: The Necessity of Separate Learnable Parameters and Robust Data Augmentation
Extracting Actionability from Machine Learning Models by Sub-optimal Deterministic Planning
Local Interactions for Cohesive Flexible Swarms
Link inference of noisy delay-coupled networks: Machine learning and opto-electronic experimental tests
Explorative Data Analysis of Time Series based AlgorithmFeatures of CMA-ES Variants
Explanation of Machine Learning Models of Colon Cancer Using SHAP Considering Interaction Effects
Regularized Nonlinear Regression for Simultaneously Selecting and Estimating Key Model Parameters
Roman Urdu Opinion Mining System (RUOMiS)
Generative Adversarial Autoencoder Networks
Optimal Energy Rationing for Prepaid Electricity Customers
A minimal core calculus for Solidity contracts
Psychological Health Knowledge-Enhanced LLM-based Social Network Crisis Intervention Text Transfer Recognition Method
PingAn-VCGroup's Solution for ICDAR 2021 Competition on Scientific Table Image Recognition to Latex
Instance Retrieval at Fine-grained Level Using Multi-Attribute Recognition
Universal Perceptual Grouping
Domain Adaptation-based Edge Computing for Cross-Conditions Fault Diagnosis
Multilevel Large Language Models for Everyone
A New Framework for Variance-Reduced Hamiltonian Monte Carlo
A New Modified Newton-Type Iteration Methods for Solving Generalized Absolute Value Equations
Multi-Scale Texture Loss for CT denoising with GANs
Pseudocodewords of Tanner graphs
Picture It In Your Mind: Generating High Level Visual Representations From Textual Descriptions
LLMs' Reading Comprehension Is Affected by Parametric Knowledge and Struggles with Hypothetical Statements
Computing the Distance between unbalanced Distributions - The flat Metric
Hybrid Quantum-Classical Neural Network for Cloud-supported In-Vehicle Cyberattack Detection
GopCaml: A Structural Editor for OCaml
A Parallel MOEA with Criterion-based Selection Applied to the Knapsack Problem
Low Earth Orbit Satellites Provide Continuous Enterprise Data Connectivity
Debugging of Web Applications with Web-TLR
Expansion and evolution of the R programming language
LooseCut: Interactive Image Segmentation with Loosely Bounded Boxes
Speaker-Oriented Latent Structures for Dialogue-Based Relation Extraction
The Unified Non-Convex Framework for Robust Causal Inference: Overcoming the Gaussian Barrier and Optimization Fragility
Challenges in biomarker discovery and biorepository for Gulf-war-disease studies: a novel data platform solution
Statistical Eigenmode Transmission over Jointly-Correlated MIMO Channels
Iterative thresholding for non-linear learning in the strong ε-contamination model
A Markov Decision Process Framework for Efficient and Implementable Contact Tracing and Isolation
Sparse grids vs. random points for high-dimensional polynomial approximation
Simple Dynamics for Majority Consensus
Contextual Semi-Supervised Learning: An Approach To Leverage Air-Surveillance and Untranscribed ATC Data in ASR Systems
RobWE: Robust Watermark Embedding for Personalized Federated Learning Model Ownership Protection
Confidence-Regulated Generative Diffusion Models for Reliable AI Agent Migration in Vehicular Metaverses
Iterative Reweighted Algorithms for Sparse Signal Recovery with Temporally Correlated Source Vectors
Perspectives on Balanced Sequences
Learning to Understand: Identifying Interactions via the Mobius Transform
Analyzing the Impact of Augmented Reality Head-Mounted Displays on Workers' Safety and Situational Awareness in Hazardous Industrial Settings
FantasyID: Face Knowledge Enhanced ID-Preserving Video Generation
Neighborhood covering and independence on two superclasses of cographs
Towards OOD Detection in Graph Classification from Uncertainty Estimation Perspective
FuseMODNet: Real-Time Camera and LiDAR based Moving Object Detection for robust low-light Autonomous Driving
Adaptive virtual element methods with equilibrated flux
Exploration of Parameter Spaces Assisted by Machine Learning
Multiple criteria decision analysis with the SRF-II method to compare hypotheses of adaptive reuse for an iconic historical building
Multi-criteria Evolution of Neural Network Topologies: Balancing Experience and Performance in Autonomous Systems
Uniform Penalty inversion of two-dimensional NMR Relaxation data
Resolving Author Name Homonymy to Improve Resolution of Structures in Co-author Networks
Refer-it-in-RGBD: A Bottom-up Approach for 3D Visual Grounding in RGBD Images
Measuring and Improving Persuasiveness of Large Language Models
Latent Variable Algorithms for Multimodal Learning and Sensor Fusion
A Heterogeneous RISC-V based SoC for Secure Nano-UAV Navigation
Binaural SoundNet: Predicting Semantics, Depth and Motion with Binaural Sounds
Semi-Supervised Health Index Monitoring with Feature Generation and Fusion
LISR: Image Super-resolution under Hardware Constraints
A GPU Implementation of Multi-Guiding Spark Fireworks Algorithm for Efficient Black-Box Neural Network Optimization
Blockchain-based Federated Learning with SMPC Model Verification Against Poisoning Attack for Healthcare Systems
Assessing Trust in Construction AI-Powered Collaborative Robots using Structural Equation Modeling
Understanding compositional data augmentation in automatic morphological inflection
The General Gaussian Multiple Access and Two-Way Wire-Tap Channels: Achievable Rates and Cooperative Jamming
Practical Wide-Angle Portraits Correction with Deep Structured Models
A Large-Language-Model Framework for Automated Humanitarian Situation Reporting
Spectral Methods - Part 2: A comparative study of reduced order models for moisture transfer diffusive problems
Analysis of Climatic Trends and Variability in Indian Topography
How do signs organize in directed signed social networks?
DynaQuant: Compressing Deep Learning Training Checkpoints via Dynamic Quantization
Spell Correction for Azerbaijani Language using Deep Neural Networks
Variational Characterization of Monotone Nonlinear Eigenvector Problems and Geometry of Self-Consistent-Field Iteration
Learning to fuse: dynamic integration of multi-source data for accurate battery lifespan prediction
The Complexity of Translationally-Invariant Spin Chains with Low Local Dimension
Sparse Covers for Sums of Indicators
DeepDoseNet: A Deep Learning model for 3D Dose Prediction in Radiation Therapy
A Fast Generalized Minimum Distance Decoder for Reed-Solomon Codes Based on the Extended Euclidean Algorithm
Quantum-Assisted Vehicle Routing: Realizing QAOA-based Approach on Gate-Based Quantum Computer
Optimizing Alignment of Speech and Language Latent Spaces for End-to-End Speech Recognition and Understanding
Rank-1 Similarity Matrix Decomposition For Modeling Changes in Antivirus Consensus Through Time
Good Modelling Software Practices
Beyond Tabula-Rasa: a Modular Reinforcement Learning Approach for Physically Embedded 3D Sokoban
Local structure of idempotent algebras II
Data Efficient Acoustic Scene Classification using Teacher-Informed Confusing Class Instruction
Adapting Offline Reinforcement Learning with Online Delays
Transfer Heterogeneous Knowledge Among Peer-to-Peer Teammates: A Model Distillation Approach
A Primer on Private Statistics
Comparison of derivative-free and gradient-based minimization for multi-objective compositional design of shape memory alloys
Evaluation of Automatic Video Captioning Using Direct Assessment
Online-PVLM: Advancing Personalized VLMs with Online Concept Learning
Smart Ride and Delivery Services with Electric Vehicles: Leveraging Bidirectional Charging for Profit Optimisation
Distribution Aligned Diffusion and Prototype-guided network for Unsupervised Domain Adaptive Segmentation
A Fuzzy Inference System for the Identification
Measuring Catastrophic Forgetting in Cross-Lingual Transfer Paradigms: Exploring Tuning Strategies
Classification of Vehicles Based on Audio Signals using Quadratic Discriminant Analysis and High Energy Feature Vectors
Robust k-means Clustering for Distributions with Two Moments
Thermodynamically consistent modelling and simulation of two-fluid magnetohydrodynamic equations
3DLLM-Mem: Long-Term Spatial-Temporal Memory for Embodied 3D Large Language Model
Temporal Action Labeling using Action Sets
Evidence of Human-Like Visual-Linguistic Integration in Multimodal Large Language Models During Predictive Language Processing
Beyond case studies: Teaching data science critique and ethics through sociotechnical surveillance studies
Enhancing Memory and Imagination Consistency in Diffusion-based World Models via Linear-Time Sequence Modeling
The Representational Alignment between Humans and Language Models is implicitly driven by a Concreteness Effect
A Hybrid Method for Tensor Decompositions that Leverages Stochastic and Deterministic Optimization
Network Inversion for Uncertainty-Aware Out-of-Distribution Detection
Image-free single-pixel segmentation
Active Region-based Flare Forecasting with Sliding Window Multivariate Time Series Forest Classifiers
Think Like Human Developers: Harnessing Community Knowledge for Structured Code Reasoning
Emerging Skycube
Deep Operator Neural Network Model Predictive Control
Mastering Terra Mystica: Applying Self-Play to Multi-agent Cooperative Board Games
Correlation-Based Method for Sentiment Classification
Tromino tilings of Domino-Deficient Rectangles
Efficiently Learning Neural Networks: What Assumptions May Suffice?
Sliding Window Bi-Objective Evolutionary Algorithms for Optimizing Chance-Constrained Monotone Submodular Functions
Efficient Structured Surrogate Loss and Regularization in Structured Prediction
Robust Optimization in Causal Models and G-Causal Normalizing Flows
A model for prohibition and obligation dilemmas generation in virtual environments
Dialogue Agents 101: A Beginner's Guide to Critical Ingredients for Designing Effective Conversational Systems
Beyond Jailbreaks: Revealing Stealthier and Broader LLM Security Risks Stemming from Alignment Failures
Solving forward and inverse PDE problems on unknown manifolds via physics-informed neural operators
Pain Intensity Estimation by a Self-Taught Selection of Histograms of Topographical Features
On the Verification and Computation of Strong Nash Equilibrium
Non-accessible localizations
Eye Movement Feature Classification for Soccer Expertise Identification in Virtual Reality
Chaotic-Map Truly Random Number Generators: Evaluation of Bit-Generation and Post-Processing
DriveDiTFit: Fine-tuning Diffusion Transformers for Autonomous Driving
CageCoach: Sharing-Oriented Redaction-Capable Distributed Cryptographic File System
A Novel Synchronous Reference Frame Frequency-Locked Loop
Manifold Regularized Slow Feature Analysis for Dynamic Texture Recognition
Open Gaze: Open Source eye tracker for smartphone devices using Deep Learning
Traffic Data Imputation using Deep Convolutional Neural Networks
Combining YOLO and Visual Rhythm for Vehicle Counting
Diffusion Explorer: Interactive Exploration of Diffusion Models
Submodular Matroid Secretary Problem with Shortlists
Universal Outlying sequence detection For Continuous Observations
Quantum Tomography of Semi-Algebraic Sets with Constrained Measurements
Weakly Supervised Nuclei Segmentation via Instance Learning
ProWis: A Visual Approach for Building, Managing, and Analyzing Weather Simulation Ensembles at Runtime
On the layer crossing problem for a semi-infinite hydraulic fracture
HiCaM: A Hierarchical-Causal Modification Framework for Long-Form Text Modification
AttnMod: Attention-Based New Art Styles
Full error analysis for the training of deep neural networks
Visual Localisation of Mobile Devices in an Indoor Environment under Network Delay Conditions
Imitation Learning for Autonomous Driving: Insights from Real-World Testing
Correct-by-Construction Approach for Self-Evolvable Robots
Text Semantics to Image Generation: A method of building facades design base on Stable Diffusion model
Red-teaming Activation Probes using Prompted LLMs
Multi-bin Trainable Linear Unit for Fast Image Restoration Networks
Annular Computational Imaging: Capture Clear Panoramic Images through Simple Lens
GPU-Accelerated Optimizer-Aware Evaluation of Submodular Exemplar Clustering
Latent Tree Approximation in Linear Model
FedRobo: Federated Learning Driven Autonomous Inter Robots Communication For Optimal Chemical Sprays
A collaborative framework to exchange and share product information within a supply chain context
SynFog: A Photo-realistic Synthetic Fog Dataset based on End-to-end Imaging Simulation for Advancing Real-World Defogging in Autonomous Driving
Quantifying Cultural Histories via Person Networks in Wikipedia
Raise Your Game for Split Manufacturing: Restoring the True Functionality Through BEOL
Derivational Morphology Reveals Analogical Generalization in Large Language Models
Can an AI agent hit a moving target?
Contextual Evaluation of Large Language Models for Classifying Tropical and Infectious Diseases
Rethinking the long-range dependency in Mamba/SSM and transformer models
DVAGen: Dynamic Vocabulary Augmented Generation
Evaluation of the NLP Components of the OVIS2 Spoken Dialogue System
Ensemble Learning of Myocardial Displacements for Myocardial Infarction Detection in Echocardiography
Benchmarking Large Language Models for Calculus Problem-Solving: A Comparative Analysis
Digitization of Document and Information Extraction using OCR
Asynchronous Peak Detection for Demodulation in Molecular Communication
Toward Effective Secure Code Reviews: An Empirical Study of Security-Related Coding Weaknesses
Evaluating the Suitability of Different Intraoral Scan Resolutions for Deep Learning-Based Tooth Segmentation
The Collapse of the Sequential Intersection Type System on the Multiset Intersection Type is Surjective
Efficient-Adam: Communication-Efficient Distributed Adam with Complexity Analysis
"AIded with emotions" - a new design approach towards affective computer systems
Learning complete and explainable visual representations from itemized text supervision
Bayesian Analysis for miRNA and mRNA Interactions Using Expression Data
Generalizability of Graph Neural Networks for Decentralized Unlabeled Motion Planning
Haptic Information Feedback Given to Handles in Guide Dog Training
A Comparative Study on Machine Learning Models to Classify Diseases Based on Patient Behaviour and Habits
On the Impact of Sample Size in Reconstructing Noisy Graph Signals: A Theoretical Characterisation
Cooperative Resource Trading for Network Slicing in Industrial IoT: A Multi-Agent DRL Approach
Phase-aware Training Schedule Simplifies Learning in Flow-Based Generative Models
Ruled by the Representation Space: On the University's Embrace of Large Language Models
UniTrans: Unifying Model Transfer and Data Transfer for Cross-Lingual Named Entity Recognition with Unlabeled Data
Novel Real-Time EMT-TS Modeling Architecture for Feeder Blackstart Simulations
Resolving Overlapping Convex Objects in Silhouette Images by Concavity Analysis and Gaussian Process
Performance Characterization and Transmission Schemes for Instantly Decodable Network Coding in Wireless Broadcast
Impact of Ground Truth Quality on Handwriting Recognition
Group decision makers making process - an analytic hierarchy approach
Resonance frequency tracking schemes for micro- and nanomechanical resonators
Seeing Through the MiRAGE: Evaluating Multimodal Retrieval Augmented Generation
MicCheck: Repurposing Off-the-Shelf Pin Microphones for Easy and Low-Cost Contact Sensing
Online Algorithms Modeled After Mousehunt
The generating of Fractal Images Using MathCAD Program
Pose Normalization of Indoor Mapping Datasets Partially Compliant to the Manhattan World Assumption
Convexification and experimental data for a 3D inverse scattering problem with the moving point source
High-Throughput CNN Inference on Embedded ARM big.LITTLE Multi-Core Processors
Unifying Segment Anything in Microscopy with Multimodal Large Language Model
Geometric graphs from data to aid classification tasks with graph convolutional networks
Generative AI trial for nonviolent communication mediation
The Health and Wealth of OSS Projects: Evidence from Community Activities and Product Evolution
CNN with large memory layers
Rank Subspace Learning for Compact Hash Codes
The Stanford Drone Dataset is More Complex than We Think: An Analysis of Key Characteristics
Feature-based analysis of oral narratives from Afrikaans and isiXhosa children
Understanding the Uncertainty Loop of Human-Robot Interaction
Stochastic Approximation of Smooth and Strongly Convex Functions: Beyond the O(1/T) Convergence Rate
Predicting time-varying flux and balance in metabolic systems using structured neural-ODE processes
Predicting Video features from EEG and Vice versa
Geometrical morphology
A new analysis of empirical interpolation methods and Chebyshev greedy algorithms
Predicting Financial Markets: Comparing Survey,News, Twitter and Search Engine Data
Low-Complexity LSTM Training and Inference with FloatSD8 Weight Representation
Soft metrics and their Performance Analysis for Optimal Data Detection in the Presence of Strong Oscillator Phase Noise
Trust levels in social networks
Effective and Acceptable Eco-Driving Guidance for Human-Driving Vehicles: A Review
Agreement Maintenance Based on Schema and Ontology Change in P2P Environment
Iter-AHMCL: Alleviate Hallucination for Large Language Model via Iterative Model-level Contrastive Learning
Learning Personalized Attribute Preference via Multi-task AUC Optimization
A Robust Text Processing Technique Applied to Lexical Error Recovery
SOLD: SELFIES-based Objective-driven Latent Diffusion
Visualization and Analysis of Geographical Crime Patterns Using Formal Concept Analysis