yusuke1997/dblp-id-title huggingface dataset:
EM++: A parameter learning framework for stochastic switching systems
Towards Convexity in Anomaly Detection: A New Formulation of SSLM with Unique Optimal Solutions
MH-GIN: Multi-scale Heterogeneous Graph-based Imputation Network for AIS Data (Extended Version)
A 128 channel Extreme Learning Machine based Neural Decoder for Brain Machine Interfaces
Community Consensus: Converging Locally despite Adversaries and Heterogeneous Connectivity
Emergent Software Service Platform and its Application in a Smart Mobility Setting
Supervised Learning and Model Analysis with Compositional Data
Enhancing Convergence in Federated Learning: A Contribution-Aware Asynchronous Approach
Cesium Tiles for High-realism Simulation and Comparing SLAM Results in Corresponding Virtual and Real-world Environments
ICD-Net: Inertial Covariance Displacement Network for Drone Visual-Inertial SLAM
Learning-Based MPC for Efficient Control of Autonomous Vehicles
Total Nitrogen Estimation in Agricultural Soils via Aerial Multispectral Imaging and LIBS
Energy-Constrained Delivery of Goods with Drones Under Varying Wind Conditions
Market Model for Demand Response under Block Rate Pricing
High-order Multi-view Clustering for Generic Data
Entropy Contractions in Markov Chains: Half-Step, Full-Step and Continuous-Time
S3Library: Automatically Eliminating C/C++ Buffer Overflow using Compatible Safer Libraries
An End-to-End Smart Predict-then-Optimize Framework for Vehicle Relocation Problems in Large-Scale Vehicle Crowd Sensing
Hypothesis Test for Upper Bound on the Size of Random Defective Set
An Optimism-based Approach to Online Evaluation of Generative Models
Evaluating Elements of Web-based Data Enrichment for Pseudo-Relevance Feedback Retrieval
Why It's Nice to be Quoted: Quasiquoting for Prolog
Inferring Gene Regulatory Neural Networks for Bacterial Decision Making in Biofilms
High SNR Consistent Compressive Sensing Without Signal and Noise Statistics
Spectral Introspection Identifies Group Training Dynamics in Deep Neural Networks for Neuroimaging
Designing a Hair-Clip Inspired Bistable Mechanism for Soft Fish Robots
An AI-driven framework for the prediction of personalised health response to air pollution
Abnormal Event Detection in Urban Surveillance Videos Using GAN and Transfer Learning
A teacher-student framework for online correctional learning
Promptomatix: An Automatic Prompt Optimization Framework for Large Language Models
Predicting Solar Flares with Remote Sensing and Machine Learning
Temporal Markov Processes for Transport in Porous Media: Random Lattice Networks
Factorizing Diffusion Policies for Observation Modality Prioritization
Monotonic Mechanisms for Selling Multiple Goods
An Infrastructure Cost Optimised Algorithm for Partitioning of Microservices
House price estimation from visual and textual features
Evaluating adversarial robustness in simulated cerebellum
Comparison of Forecasting Methods of House Electricity Consumption for Honda Smart Home
Vector Cost Behavioral Planning for Autonomous Robotic Systems with Contemporary Validation Strategies
Isogeometric finite element analysis of functionally graded plates using a refined plate theory
On the BDD/FC Conjecture
A Data-driven Contact Estimation Method for Wheeled-Biped Robots
Retrieving Reed-Solomon coded data under interpolation-based list decoding
The Local Lemma Is Tight for SAT
Spectral-Bias and Kernel-Task Alignment in Physically Informed Neural Networks
Property prediction for ionic liquids without prior structural knowledge using limited experimental data: A data-driven neural recommender system leveraging transfer learning
Social VR and multi-party holographic communications: Opportunities, Challenges and Impact in the Education and Training Sectors
Bypassing Cloud Providers' Data Validation to Store Arbitrary Data
Towards Scalable Subscription Aggregation and Real Time Event Matching in a Large-Scale Content-Based Network
Accelerated Deep Reinforcement Learning Based Load Shedding for Emergency Voltage Control
CtrlNeRF: The Generative Neural Radiation Fields for the Controllable Synthesis of High-fidelity 3D-Aware Images
Why Some Seek AI, Others Seek Therapists: Mental Health in the Age of Generative AI
Uncovering High-Order Cohesive Structures: Efficient (k,g)-Core Computation and Decomposition for Large Hypergraphs
Siamese Network with Dual Attention for EEG-Driven Social Learning: Bridging the Human-Robot Gap in Long-Tail Autonomous Driving
Power Allocation and Pricing in Multi-User Relay Networks Using Stackelberg and Bargaining Games
A Brief Review of Machine Learning Techniques for Protein Phosphorylation Sites Prediction
Deep Learning Framework for Real-time Fetal Brain Segmentation in MRI
A Nature-Inspired Feature Selection Approach based on Hypercomplex Information
Heart Attack Classification System using Neural Network Trained with Particle Swarm Optimization
Technical Report: A Hierarchical Deliberative-Reactive System Architecture for Task and Motion Planning in Partially Known Environments
MAD: Multi-Alignment MEG-to-Text Decoding
A Study of Rule Omission in Raven's Progressive Matrices
Neural networks for option pricing and hedging: a literature review
Point Sweep Coverage on Path
How to get the most out of Twinned Regression Methods
From Linear Term Rewriting to Graph Rewriting with Preservation of Termination
Weak bisimulations for labelled transition systems weighted over semirings
SHAH: Hash Function based on Irregularly Decimated Chaotic Map
Complexity of Unconstrained L_2-L_p Minimization
Emergence of group hierarchy
Variational Depth Search in ResNets
Extended Time Varying Multi-Cluster Fluctuating Two-Ray Fading Model for Maritime Environment
Towards a Categorical Foundation of Deep Learning: A Survey
Dihedral angles and orthogonal polyhedra
MUST: Multi-Scale Structural-Temporal Link Prediction Model for UAV Ad Hoc Networks
Bidirectional Backpropagation: Towards Biologically Plausible Error Signal Transmission in Neural Networks
Use of diverse data sources to control which topics emerge in a science map
An Affective Aware Pseudo Association Method to Connect Disjoint Users Across Multiple Datasets - An Enhanced Validation Method for Text-based Emotion Aware Recommender
Estimating Local Commuting Patterns From Geolocated Twitter Data
Relation3D: Enhancing Relation Modeling for Point Cloud Instance Segmentation
Low-rank-modified Galerkin methods for the Lyapunov equation
Integrating Weather Station Data and Radar for Precipitation Nowcasting: SmaAt-fUsion and SmaAt-Krige-GNet
Radar Enlighten the Dark: Enhancing Low-Visibility Perception for Automated Vehicles with Camera-Radar Fusion
Characterized Diffusion and Spatial-Temporal Interaction Network for Trajectory Prediction in Autonomous Driving
Prompt Ensemble Self-training for Open-Vocabulary Domain Adaptation
MEMTRACK: Evaluating Long-Term Memory and State Tracking in Multi-Platform Dynamic Agent Environments
Clustering Comparable Corpora of Russian and Ukrainian Academic Texts: Word Embeddings and Semantic Fingerprints
Value Augmented Sampling for Language Model Alignment and Personalization
Development of a passive Rehabilitation Robot for the wrist joint through the implementation of an Arduino UNO microcontroller
Image-Based Benchmarking and Visualization for Large-Scale Global Optimization
Balanced power diagrams for redistricting
Information, Utility & Bounded Rationality
An Efficient Hybrid Power Control Algorithm for Capacity Improvement of CDMA-based Fixed Wireless Applications
Multi-task Learning of Hierarchical Vision-Language Representation
Shift-Invariant and Sampling Spaces Associated with the Special Affine Fourier Transform
Deterministic Online Classification: Non-iteratively Reweighted Recursive Least-Squares for Binary Class Rebalancing
Object Localization and Motion Transfer learning with Capsules
On a Certain Cooperative Hat Game
Hadamard product nonlinear formulation of Galerkin and finite element methods
A Semantic-Aware Framework for Safe and Intent-Integrative Assistance in Upper-Limb Exoskeletons
Complete Kneser Transversals
From Optimality to Robustness: Dirichlet Sampling Strategies in Stochastic Bandits
Decision Fusion with Unknown Sensor Detection Probability
One-Shot Mutual Affine-Transfer for Photorealistic Stylization
SR-LIO++: Efficient LiDAR-Inertial Odometry and Quantized Mapping with Sweep Reconstruction
Evaluate PAC codes via Efficient Estimation on Weight Distribution
Adaptive Activation-based Structured Pruning
Machine Learning and Econometric Approaches to Fiscal Policies: Understanding Industrial Investment Dynamics in Uruguay (1974-2010)
Not All Attention is Needed: Parameter and Computation Efficient Transfer Learning for Multi-modal Large Language Models
Avoiding Occupancy Detection from Smart Meter using Adversarial Machine Learning
Diverse mini-batch Active Learning
Probabilistic Soundness Guarantees in LLM Reasoning Chains
Effects of Illumination on the Categorization of Shiny Materials
Linear complementary dual, maximum distance separable codes
MAGSAC++, a fast, reliable and accurate robust estimator
Drastically Reducing the Number of Trainable Parameters in Deep CNNs by Inter-layer Kernel-sharing
Towards Passive Safe Reinforcement Learning: A Comparative Study on Contact-rich Robotic Manipulation
Accelerate Model Parallel Training by Using Efficient Graph Traversal Order in Device Placement
Computing Markov functions of Toeplitz matrices
APX-Hardness of Maximizing Nash Social Welfare with Indivisible Items
Data Privacy Protection in DeFi Protocols
Can SAM Count Anything? An Empirical Study on SAM Counting
Efficient Calibration of Embedded MPC
Mapping Neural Signals to Agent Performance, A Step Towards Reinforcement Learning from Neural Feedback
Offline Q-Learning on Diverse Multi-Task Data Both Scales And Generalizes
Structured Language Modeling for Speech Recognition
Grammars over the Lambek Calculus with Permutation: Recognizing Power and Connection to Branching Vector Addition Systems with States
The Role of Sparsity for Length Generalization in Transformers
Open-Set RF Fingerprinting via Improved Prototype Learning
ReAlign: Bilingual Text-to-Motion Generation via Step-Aware Reward-Guided Alignment
Determination Of Optimal Number Of Clusters In Wireless Sensor Networks
Choose your Colour: Tree Interpolation for Quantified Formulas in SMT
A generalised novel loss function for computational fluid dynamics
CAFEEN: A Cooperative Approach for Energy Efficient NoCs with Multi-Agent Reinforcement Learning
Modernizing an Operational Real-time Tsunami Simulator to Support Diverse Hardware Platforms
Uni-Removal: A Semi-Supervised Framework for Simultaneously Addressing Multiple Degradations in Real-World Images
Effective Capacity of Receive Antenna Selection MIMO-OSTBC Systems in Co-Channel Interference
A tree structure algorithm for optimal control problems with state constraints
PLaID++: A Preference Aligned Language Model for Targeted Inorganic Materials Design
Mathematical Foundations for Information Theory in Diffusion-Based Molecular Communications
Verifiable Planning in Expected Reward Multichain MDPs
Knowledge-augmented Column Networks: Guiding Deep Learning with Advice
Diameter Polytopes of Feasible Binary Programs
The temporalized Massey's method
PathwayBench: Assessing Routability of Pedestrian Pathway Networks Inferred from Multi-City Imagery
A Systematic Review of Aspect-based Sentiment Analysis (ABSA): Domains, Methods, and Trends
Optimization of Circuits for IBM's five-qubit Quantum Computers
Feature Importance for Time Series Data: Improving KernelSHAP
Adversarial synapses: Hebbian/anti-Hebbian learning optimizes min-max objectives
Extracting Emotion Phrases from Tweets using BART
Semantic Similarity Metrics for Evaluating Source Code Summarization
State of Charge Evolution Equations for Flywheels
Ensemble Method for System Failure Detection Using Large-Scale Telemetry Data
BOLAA: Benchmarking and Orchestrating LLM-augmented Autonomous Agents
On the power of PPT-preserving and non-signalling codes
S2DM: Sector-Shaped Diffusion Models for Video Generation
From Reward Shaping to Q-Shaping: Achieving Unbiased Learning with LLM-Guided Knowledge
Theoretical Guarantees for Permutation-Equivariant Quantum Neural Networks
LEDAkem: a post-quantum key encapsulation mechanism based on QC-LDPC codes
Explaining vague language
Micro-Macro Simulation of Shallow Water Moment Equations
Mobile Elements Scheduling for Periodic Sensor Applications
A Divide and Conquer Approach to Cooperative Distributed Model Predictive Control
Dynamical State Feedback Control for Linear Input Delay Systems, Part I: Dissipative Stabilization via Semidefinite Programming
Comparison of machine learning methods for classifying mediastinal lymph node metastasis of non-small cell lung cancer from 18F-FDG PET/CT images
Implementation of Artificial Neural Networks for the Nepta-Uranian Interplanetary (NUIP) Mission
An Adaptive Approach for Probabilistic Wind Power Forecasting Based on Meta-Learning
Efficient Parallel Path Checking for Linear-Time Temporal Logic With Past and Bounds
Transferable Adversarial Attack on Image Tampering Localization
Comparison of Genetic Algorithm and Simulated Annealing Technique for Optimal Path Selection In Network Routing
Signal Fidelity Index-Aware Calibration for Dementia Predictions Across Heterogeneous Real-World Data
VINCY: A Smart-contract based Data Integrity and Validation Tooling for Automated Vehicle Incident Investigation
Interpretable VAEs for nonlinear group factor analysis
Physics Informed Deep Learning for Transport in Porous Media. Buckley Leverett Problem
Constructing a Non-Negative Low Rank and Sparse Graph with Data-Adaptive Features
A Statistically Principled and Computationally Efficient Approach to Speech Enhancement using Variational Autoencoders
Parameter-robust Uzawa-type iterative methods for double saddle point problems arising in Biot's consolidation and multiple-network poroelasticity models
BoschAI @ PLABA 2023: Leveraging Edit Operations in End-to-End Neural Sentence Simplification
Proceedings 8th International Workshop on Automated Specification and Verification of Web Systems, WWV 2012, Stockholm, Sweden, 16th July 2012
SMILE: SeMantic Ids Enhanced CoLd Item Representation for Click-through Rate Prediction in E-commerce SEarch
LGMSNet: Thinning a medical image segmentation model via dual-level multiscale fusion
xLSTM-FER: Enhancing Student Expression Recognition with Extended Vision Long Short-Term Memory Network
ELIT: Emory Language and Information Toolkit
CASU: Compromise Avoidance via Secure Update for Low-end Embedded Systems
Sensitivity Study of Fiducial-Aided Navigation of Unmanned Aerial Vehicles
Defense against adversarial attacks on deep convolutional neural networks through nonlocal denoising
SNC: A Cloud Service Platform for Symbolic-Numeric Computation using Just-In-Time Compilation
AutoGameUI: Constructing High-Fidelity Game UIs via Multimodal Learning and Interactive Web-Based Tool
Improving the lifecycle of robotics components using Domain-Specific Languages
Detect an Object At Once without Fine-tuning
Cover time for random walks on arbitrary complex networks
On Throughput Optimization and Bound Analysis in Cache-Enabled Fiber-Wireless Access Networks
Towards Robust Zero-Shot Reinforcement Learning
Solving phase retrieval with random initial guess is nearly as good as by spectral initialization
Optimizing Scientific Data Transfer on Globus with Error-bounded Lossy Compression
Diff-SPORT: Diffusion-based Sensor Placement Optimization and Reconstruction of Turbulent flows in urban environments
Visual Sensation and Perception Computational Models for Deep Learning: State of the art, Challenges and Prospects
High-order parallel-in-time method for the monodomain equation in cardiac electrophysiology
Generalized L-product for hight order tensors with applications using GPU computation
PACER: Physics Informed Uncertainty Aware Climate Emulator
Data Valuation for Vertical Federated Learning: An Information-Theoretic Approach
Predicting Critical Biogeochemistry of the Southern Ocean for Climate Monitoring
Archetypal Analysis for Sparse Nonnegative Matrix Factorization: Robustness Under Misspecification
URSA: A Neural Network for Unordered Point Clouds Using Constellations
Hard-Mining Loss based Convolutional Neural Network for Face Recognition
Development of REGAI: Rubric Enabled Generative Artificial Intelligence
Lampr: Boosting the Effectiveness of Language-Generic Program Reduction via Large Language Models
Practical Guidelines for the Selection and Evaluation of NLP Techniques in RE
Multipartite Entanglement in Quantum Networks using Subgraph Complementations
A Framework for Quantum Finite-State Languages with Density Mapping
Leveraging Self-Supervised Learning for Scene Recognition in Child Sexual Abuse Imagery
Practical Model-Based Diagnosis with Qualitative Possibilistic Uncertainty
Supported Abstract Argumentation for Case-Based Reasoning
Characterization of Performance Anomalies in Hadoop
Simulating the Electroweak Phase Transition: Sonification of Bubble Nucleation
Active Learning for Risk-Sensitive Inverse Reinforcement Learning
Deep Graph Neural Point Process For Learning Temporal Interactive Networks
Adaptive Noisy Matrix Completion
On forward invariance in Lyapunov stability theorem for local stability
Jigsaw-Puzzles: From Seeing to Understanding to Reasoning in Vision-Language Models
Robustly Improving LLM Fairness in Realistic Settings via Interpretability
Greedy Modality Selection via Approximate Submodular Maximization
Safe Path Planning for Polynomial Shape Obstacles via Control Barrier Functions and Logistic Regression
Automated Audio Captioning: an Overview of Recent Progress and New Challenges
The Generative Leap: Sharp Sample Complexity for Efficiently Learning Gaussian Multi-Index Models
Rusty Clusters? Dusting an IPv6 Research Foundation
Model of Electrostatic Actuated Deformable Mirror Using Strongly Coupled Electro-Mechanical Finite Element
A Practice in Enrollment Prediction with Markov Chain Models
Training-free Boost for Open-Vocabulary Object Detection with Confidence Aggregation
From Fads to Classics - Analyzing Video Game Trend Evolutions through Steam Tags
LPBSA: Enhancing Optimization Efficiency through Learner Performance-based Behavior and Simulated Annealing
Universum Learning for Multiclass SVM
Semantics of Interaction
Boosting algorithms in energy research: A systematic review
Causal Interventions-based Few-Shot Named Entity Recognition
Adaptation of domain-specific transformer models with text oversampling for sentiment analysis of social media posts on Covid-19 vaccines
Open Source Presentation Attack Detection Baseline for Iris Recognition
GraphGUIDE: interpretable and controllable conditional graph generation with discrete Bernoulli diffusion
Zero-Determinant Strategy in Stochastic Stackelberg Asymmetric Security Game
Spherical Analysis of Learning Nonlinear Functionals
ProSAM: Enhancing the Robustness of SAM-based Visual Reference Segmentation with Probabilistic Prompts
A repetition-free hypersequent calculus for first-order rational Pavelka logic
CUT: Pruning Pre-Trained Multi-Task Models into Compact Models for Edge Devices
Enhanced Expressive Power and Fast Training of Neural Networks by Random Projections
The polarization process of ferroelectric materials analyzed in the framework of variational inequalities
Mochi: Fast \& Exact Collision Detection
Automatic fetal fat quantification from MRI
Planimation
Expressivity of Time-Varying Graphs and the Power of Waiting in Dynamic Networks
ArGoT: A Glossary of Terms extracted from the arXiv
Recursive vectorized computation of the Frobenius norm
A Simple Proof of Threshold Saturation for Coupled Vector Recursions
Trajectory Poisson multi-Bernoulli mixture filter for traffic monitoring using a drone
Rule-based OWL Modeling with ROWLTab Protege Plugin
Modeling Relational Data via Latent Factor Blockmodel
Review of Consumer Wearables in Emotion, Stress, Meditation, Sleep, and Activity Detection and Analysis
Delta Velocity Rectified Flow for Text-to-Image Editing
SCC-YOLO: An Improved Object Detector for Assisting in Brain Tumor Diagnosis
A class of cyclic codes whose dual have five zeros
Power-Aware Hybrid Intrusion Detection System (PHIDS) using Cellular Automata in Wireless AdHoc Networks
On-Line Synthesis of Permissive Supervisors for Partially Observed Discrete Event Systems under scLTL Constraints
Multi-Scale Finite Expression Method for PDEs with Oscillatory Solutions on Complex Domains
Modelling Multi-Trait Scale-free Networks by Optimization
VQA with no questions-answers training
AutoHAS: Differentiable Hyper-parameter and Architecture Search
Replay-Based Continual Learning with Dual-Layered Distillation and a Streamlined U-Net for Efficient Text-to-Image Generation
Deep Reinforcement Learning using Genetic Algorithm for Parameter Optimization
Regulation of Language Models With Interpretability Will Likely Result In A Performance Trade-Off
The Restricted Isometry Property of Block Diagonal Matrices for Group-Sparse Signal Recovery
One-Shot Coding and Applications
A scalable parallel finite element framework for growing geometries. Application to metal additive manufacturing
Fortified Networks: Improving the Robustness of Deep Networks by Modeling the Manifold of Hidden Representations
KG-CQR: Leveraging Structured Relation Representations in Knowledge Graphs for Contextual Query Retrieval
FinanceBench: A New Benchmark for Financial Question Answering
A proof that deep artificial neural networks overcome the curse of dimensionality in the numerical approximation of Kolmogorov partial differential equations with constant diffusion and nonlinear drift coefficients
Cross-situational learning of large lexicons with finite memory
Information-Theoretically Private Federated Submodel Learning with Storage Constrained Databases
The Fine Line between Linguistic Generalization and Failure in Seq2Seq-Attention Models
Learning to Cooperate with Unseen Agent via Meta-Reinforcement Learning
Seer: Online Context Learning for Fast Synchronous LLM Reinforcement Learning
SoccerNet 2023 Challenges Results
GraphCrop: Subgraph Cropping for Graph Classification
Learning functions, operators and dynamical systems with kernels
Force-based Algorithm for Motion Planning of Large Agent Teams
Generators of algebraic covariant derivative curvature tensors and Young symmetrizers
FedAU2: Attribute Unlearning for User-Level Federated Recommender Systems with Adaptive and Robust Adversarial Training
Consensus Knowledge Graph Learning via Multi-view Sparse Low Rank Block Model
Traffic Surveillance Camera Calibration by 3D Model Bounding Box Alignment for Accurate Vehicle Speed Measurement
Approximate Capacities of Two-Dimensional Codes by Spatial Mixing
Speech recognition with quaternion neural networks
Empirical Insights into Analytic Provenance Summarization: A Study on Segmenting Data Analysis Workflows
DAISI: Database for AI Surgical Instruction
Existence of Stein Kernels under a Spectral Gap, and Discrepancy Bound
Unbiased Filtering of a Class of Partially Observed Diffusions
Penetration Testing for System Security: Methods and Practical Approaches
Noncooperative algorithms in self-assembly
Advanced Cyberinfrastructure for Science, Engineering, and Public Policy
Reinforcement Learning-based N-ary Cross-Sentence Relation Extraction
Information-Optimal Sensing and Control in High-Intensity Laser Experiments
The Cloudlet Bazaar Dynamic Markets for the Small Cloud
From Social Data Mining to Forecasting Socio-Economic Crisis
Rate-Distortion-Memory Trade-offs in Heterogeneous Caching Networks
A local basis approximation approach for nonlinear parametric model order reduction
Probing Linguistic Information For Logical Inference In Pre-trained Language Models
WATCH: World-aware Allied Trajectory and pose reconstruction for Camera and Human
Speech collage: code-switched audio generation by collaging monolingual corpora
Iteration-Free Cooperative Distributed MPC through Multiparametric Programming
SleepyWheels: An Ensemble Model for Drowsiness Detection leading to Accident Prevention
Generalized Shortest Path-based Superpixels for 3D Spherical Image Segmentation
Log-Normal Matrix Completion for Large Scale Link Prediction