yusuke1997/dblp-id-title huggingface dataset:
NeSy4VRD: A Multifaceted Resource for Neurosymbolic AI Research using Knowledge Graphs in Visual Relationship Detection
Optimizing Solution-Samplers for Combinatorial Problems: The Landscape of Policy-Gradient Methods
Bifrost: Secure, Scalable and Efficient File Sharing System Using Dual Deduplication
SoftMimic: Learning Compliant Whole-body Control from Examples
Superregular Matrices and the Construction of Convolutional Codes having a Maximum Distance Profile
An open diachronic corpus of historical Spanish: annotation criteria and automatic modernisation of spelling
PersonaCraft: Personalized Full-Body Image Synthesis for Multiple Identities from Single References Using 3D-Model-Conditioned Diffusion
Automated fetal brain extraction from clinical Ultrasound volumes using 3D Convolutional Neural Networks
Automated Model Evaluation for Object Detection via Prediction Consistency and Reliablity
A block Recycled GMRES method with investigations into aspects of solver performance
Weighted balanced truncation method for approximating kernel functions by exponentials
A Coverage Based Decentralised Routing Algorithm for Vehicular Traffic Networks
STORE: Streamlining Semantic Tokenization and Generative Recommendation with A Single LLM
Distributive Network Utility Maximization (NUM) over Time-Varying Fading Channels
Toward General Physical Intelligence for Resilient Agile Manufacturing Automation
EVA: An Embodied World Model for Future Video Anticipation
Structured Compressive Sensing Based Spatio-Temporal Joint Channel Estimation for FDD Massive MIMO
Security, Trust and Privacy challenges in AI-driven 6G Networks
Visual Themes and Sentiment on Social Networks To Aid First Responders During Crisis Events
Bayesian Multi Scale Neural Network for Crowd Counting
Retargeting video with an end-to-end framework
MFL-YOLO: An Object Detection Model for Damaged Traffic Signs
Refining Concentration for Gaussian Quadratic Chaos
Over-The-Air Computation for Distributed Machine Learning
Stream Function-Based Navigation for Complex Quadcopter Obstacle Avoidance
Multi-Lingual Implicit Discourse Relation Recognition with Multi-Label Hierarchical Learning
Zero-Shot Multi-Lingual Speaker Verification in Clinical Trials
ViP-CNN: A Visual Phrase Reasoning Convolutional Neural Network for Visual Relationship Detection
A Federated Capability-based Access Control Mechanism for Internet of Things (IoTs)
Three Ways to Solve Partial Differential Equations with Neural Networks - A Review
Image Search with Text Feedback by Additive Attention Compositional Learning
Beyond Flatlands: Unlocking Spatial Intelligence by Decoupling 3D Reasoning from Numerical Regression
Parameter-Efficient Fine-Tuning for Pre-Trained Vision Models: A Survey
GraphNet: A Large-Scale Computational Graph Dataset for Tensor Compiler Research
Dynamic Adaptive Parsing of Temporal and Cross-Variable Patterns for Network State Classification
Stress Testing Method for Scenario Based Testing of Automated Driving Systems
Analysis of Hospital Bed Requirements Using Discrete Event Simulation and Mathematical Modeling
Can Smartphone Co-locations Detect Friendship? It Depends How You Model It
LongViTU: Instruction Tuning for Long-Form Video Understanding
MultiSV: Dataset for Far-Field Multi-Channel Speaker Verification
Personalizing Federated Learning with Over-the-Air Computations
Supervised learning on heterogeneous, attributed entities interacting over time
Well-Conditioned Methods for Ill-Conditioned Systems: Linear Regression with Semi-Random Noise
HOP, UNION, GENERATE: Explainable Multi-hop Reasoning without Rationale Supervision
Don't Think Longer, Think Wisely: Optimizing Thinking Dynamics for Large Reasoning Models
Macro-Economic Time Series Modeling and Interaction Networks
pyFRET: A Python Library for Single Molecule Fluorescence Data Analysis
Short Portfolio Training for CSP Solving
Human-Machine Teaming for UAVs: An Experimentation Platform
FastTracker: Real-Time and Accurate Visual Tracking
The Galerkin analysis for the random periodic solution of semilinear stochastic evolution equations
Asymptotically Sharp Upper Bound for the Column Subset Selection Problem
How public datasets constrain the development of diversity-aware news recommender systems, and what law could do about it
How Pragmatics Shape Articulation: A Computational Case Study in STEM ASL Discourse
GaitEdge: Beyond Plain End-to-end Gait Recognition for Better Practicality
The Affect Game AnnotatIoN (AGAIN) Dataset
Detection and Prediction of Infectious Diseases Using IoT Sensors: A Review
Towards a Practical Architecture for the Next Generation Internet of Things
Crowdsourcing, Sharing Economies and Development
Towards Autonomous Cyber Operation Agents: Exploring the Red Case
Anonymous Oblivious Transfer
Leveraging Self-Supervised Features for Efficient Flooded Region Identification in UAV Aerial Images
Modeling and simulation of nematic LCE rods
Improving the Load Balancing Performance of Vlasiator
Linking Heterogeneous Data with Coordinated Agent Flows for Social Media Analysis
Pixel-Level Clustering Network for Unsupervised Image Segmentation
A Comparative Study of Algorithms for Intelligent Traffic Signal Control
Online Embedding Multi-Scale CLIP Features into 3D Maps
Stabilization of Strictly Pre-Dissipative Receding Horizon Linear Quadratic Control by Terminal Costs
How Good LLM-Generated Password Policies Are?
Det-SAM2:Technical Report on the Self-Prompting Segmentation Framework Based on Segment Anything Model 2
Entity-aware and Motion-aware Transformers for Language-driven Action Localization in Videos
Implicit Feedback Recommendation using Method of Moment
Generalized Capsule Networks with Trainable Routing Procedure
Self-supervised Domain Adaptation in Crowd Counting
Deep Learning-based Computational Pathology Predicts Origins for Cancers of Unknown Primary
Real-Time Deep Learning Approach to Visual Servo Control and Grasp Detection for Autonomous Robotic Manipulation
Machine Learning Predicts Upper Secondary Education Dropout as Early as the End of Primary School
Efficient Multi-View Fusion and Flexible Adaptation to View Missing in Cardiovascular System Signals
Methods for Generating Drift in Text Streams
Optimization of Generalized Jacobian Chain Products without Memory Constraints
The distributed Language Hello White Paper
Adaptive Deep Fourier Residual method via overlapping domain decomposition
S2cGAN: Semi-Supervised Training of Conditional GANs with Fewer Labels
MOMO - Deep Learning-driven classification of external DICOM studies for PACS archivation
Covert Single-hop Communication in a Wireless Network with Distributed Artificial Noise Generation
Prompts First, Finally
Framework for Wireless Network Security using Quantum Cryptography
Circadian patterns of Wikipedia editorial activity: A demographic analysis
Toward an example-based machine translation from written text to ASL using virtual agent animation
Understanding Loss Landscapes of Neural Network Models in Solving Partial Differential Equations
On the Accuracy of Point Localisation in a Circular Camera-Array
UGCANet: A Unified Global Context-Aware Transformer-based Network with Feature Alignment for Endoscopic Image Analysis
State Estimation Using Sparse DEIM and Recurrent Neural Networks
Iterative Detection and Decoding for Clustered Cell-Free Massive MIMO Networks
Superconvergence of the Strang splitting when using the Crank-Nicolson scheme for parabolic PDEs with oblique boundary conditions
Overexposure Mask Fusion: Generalizable Reverse ISP Multi-Step Refinement
LAB-Net: LAB Color-Space Oriented Lightweight Network for Shadow Removal
A DPLL(T) Framework for Verifying Deep Neural Networks
ChallengeMe: An Adversarial Learning-enabled Text Summarization Framework
Accelerated Convolutive Transfer Function-Based Multichannel NMF Using Iterative Source Steering
Plasmonic nonvolatile memory crossbar arrays for artificial neural networks
Submatrices with the best-bounded inverses: revisiting the hypothesis
Is Exploration All You Need? Effective Exploration Characteristics for Transfer in Reinforcement Learning
Diversity Conscious Refined Random Forest
Estimating the Value-at-Risk by Temporal VAE
Asymptotically Exact Denoising in Relation to Compressed Sensing
Deep splitting method for parabolic PDEs
BrokenStrokes: On the (in)Security of Wireless Keyboards
Semi-Explicit Neural DAEs: Learning Long-Horizon Dynamical Systems with Algebraic Constraints
Adaptive Beam Tracking with the Unscented Kalman Filter for Millimeter Wave Communication
The PageRank Problem, Multi-Agent Consensus and Web Aggregation - A Systems and Control Viewpoint
Corrections to Friis noise factor formulas for cascade networks
An experimental evaluation and characterization of VoIP over an LTE-A network
Reward Design in Cooperative Multi-agent Reinforcement Learning for Packet Routing
Sharp Concentration Inequalities for the Centered Relative Entropy
Quasi-Cross Lattice Tilings with Applications to Flash Memory
On Efficient Multilevel Clustering via Wasserstein Distances
SBTRec- A Transformer Framework for Personalized Tour Recommendation Problem with Sentiment Analysis
An Unsupervised Deep-Learning Method for Bone Age Assessment
Sequential Reinforced 360-Degree Video Adaptive Streaming with Cross-user Attentive Network
Robust Causal Inference Under Covariate Shift via Worst-Case Subpopulation Treatment Effects
LLMEasyQuant - An Easy to Use Toolkit for LLM Quantization
Quasi-interpolators with application to postprocessing in finite element methods
DataRec: A Framework for Standardizing Recommendation Data Processing and Analysis
Model-Based Parameter Optimization for Ground Texture Based Localization Methods
ChemBOMAS: Accelerated BO in Chemistry with LLM-Enhanced Multi-Agent System
Robust Open-Set Spoken Language Identification and the CU MultiLang Dataset
Guided Perturbations: Self Corrective Behavior in Convolutional Neural Networks
Uncovering Anomalous Events for Marine Environmental Monitoring via Visual Anomaly Detection
Collecting Larg-Scale Robotic Datasets on a High-Speed Mobile Platform
Optimal Solution for the Index Coding Problem Using Network Coding over GF(2)
DFT-s-OFDM-based On-Off Keying for Low-Power Wake-Up Signal
SPAM: Stateless Permutation of Application Memory
Implicit Real Vector Automata
An introduction to optimization under uncertainty - A short survey
GTEA: Representation Learning for Temporal Interaction Graphs via Edge Aggregation
Nexus Machine: An Active Message Inspired Reconfigurable Architecture for Irregular Workloads
Six Susceptible-Infected-Susceptible Models on Scale-free Networks
Multi-fidelity surrogate with heterogeneous input spaces for modeling melt pools in laser-directed energy deposition
A Sim-to-Real Deep Learning-based Framework for Autonomous Nano-drone Racing
RLSS: Real-time Multi-Robot Trajectory Replanning using Linear Spatial Separations
Ensemble Models for Detecting Wikidata Vandalism with Stacking - Team Honeyberry Vandalism Detector at WSDM Cup 2017
Simultaneous Classification and Novelty Detection Using Deep Neural Networks
Users' Concern for Privacy in Context-Aware Reasoning Systems
Affine equivalence of cubic homogeneous rotation symmetric Boolean functions
Head-Related Transfer Function Interpolation from Spatially Sparse Measurements Using Autoencoder with Source Position Conditioning
Learning to Recommend via Meta Parameter Partition
BERMo: What can BERT learn from ELMo?
Promises and Pitfalls of the Linearized Laplace in Bayesian Optimization
Integrating Activity Predictions in Knowledge Graphs
Stochastic Dual Ascent for Solving Linear Systems
Predicting and Optimizing for Energy Efficient ACMV Systems: Computational Intelligence Approaches
A topological interpretation of the walk distances
BIMS: Biomedical Information Management System
Impersonating LoRaWAN gateways using Semtech Packet Forwarder
MEgoHand: Multimodal Egocentric Hand-Object Interaction Motion Generation
Towards an LSTM-based Predictive Framework for Literature-based Knowledge Discovery
Preconditioner Design via the Bregman Divergence
Agent mental models and Bayesian rules as a tool to create opinion dynamics models
EXPLORE - Explainable Song Recommendation
Design And Optimization Of Multi-rendezvous Manoeuvres Based On Reinforcement Learning And Convex Optimization
Learning the Uncertainty Sets for Control Dynamics via Set Membership: A Non-Asymptotic Analysis
PyExamine A Comprehensive, UnOpinionated Smell Detection Tool for Python
Shelby: Decentralized Storage Designed to Serve
Tech Report: A Fast Multiscale Spatial Regularization for Sparse Hyperspectral Unmixing
Thoughts on the Consistency between Ricci Flow and Neural Network Behavior
Literature Review of various Fuzzy Rule based Systems
Topological Features In Cancer Gene Expression Data
CALYPSO: Forecasting and Analyzing MRSA Infection Patterns with Community and Healthcare Transmission Dynamics
Multi-source Heterogeneous Domain Adaptation with Conditional Weighting Adversarial Network
Extreme Channel Prior Embedded Network for Dynamic Scene Deblurring
Offline Adaptation of Quadruped Locomotion using Diffusion Models
Foldover Features for Dynamic Object Behavior Description in Microscopic Videos
InfCode-C++: Intent-Guided Semantic Retrieval and AST-Structured Search for C++ Issue Resolution
Adaptive Minimax Regret against Smooth Logarithmic Losses over High-Dimensional ε 1 -Balls via Envelope Complexity
Transition States Energies from Machine Learning: An Application to Reverse Water-Gas Shift on Single-Atom Alloys
Distributed Stochastic Optimization for Weakly Coupled Systems with Applications to Wireless Communications
Random points are good for universal discretization
An Analogy Based Method for Freight Forwarding Cost Estimation
Learning Policies for Multilingual Training of Neural Machine Translation Systems
Ezhil: A Tamil Programming Language
Context-Aware Visual Prompting: Automating Geospatial Web Dashboards with Large Language Models and Agent Self-Validation for Decision Support
KubeIntellect: A Modular LLM-Orchestrated Agent Framework for End-to-End Kubernetes Management
Fusion LiDAR-Inertial-Encoder data for High-Accuracy SLAM
Composite Flow Matching for Reinforcement Learning with Shifted-Dynamics Data
Accelerating Training of Deep Neural Networks with a Standardization Loss
Combining Learned Lyrical Structures and Vocabulary for Improved Lyric Generation
Online Controller Synthesis for Robot Collision Avoidance: A Case Study
Fully Convolutional Network for Automatic Road Extraction from Satellite Imagery
Deep neural networks with ReLU, leaky ReLU, and softplus activation provably overcome the curse of dimensionality for space-time solutions of semilinear partial differential equations
Robust Implementation of Discrete-time Quantum Walks in Any Finite-dimensional Quantum System
A Probabilistic Model of Cardiac Physiology and Electrocardiograms
Automated Diabetic Retinopathy Grading using Deep Convolutional Neural Network
Natural Attribute-based Shift Detection
Deepfakes Generation and Detection: State-of-the-art, open challenges, countermeasures, and way forward
LLM-Driven Corrective Robot Operation Code Generation with Static Text-Based Simulation
Mono-Stixels: Monocular depth reconstruction of dynamic street scenes
OstrichRL: A Musculoskeletal Ostrich Simulation to Study Bio-mechanical Locomotion
Collective Influence Algorithm to find influencers via optimal percolation in massively large social media
Set Shaping Theory and the Foundations of Redundancy-Free Testable Codes
Deep Reinforcement Learning for Optimal Control of Space Heating
Industrial-Strength Documentation for ACL2
MoA: Heterogeneous Mixture of Adapters for Parameter-Efficient Fine-Tuning of Large Language Models
Context-Based Fake News Detection using Graph Based Approach: ACOVID-19 Use-case
Measuring risks inherent to our digital economies using Amazon purchase histories from US consumers
Transalg: a Tool for Translating Procedural Descriptions of Discrete Functions to SAT (Tool Paper)
Teach model to answer questions after comprehending the document
Accelerated ADMM: Automated Parameter Tuning and Improved Linear Convergence
Lower Bounds for γ-Regret via the Decision-Estimation Coefficient
Parallel Attention Forcing for Machine Translation
Diffusion MRI with Machine Learning
Post-Pruning Accuracy Recovery via Data-Free Knowledge Distillation
Can Few-shot Work in Long-Context? Recycling the Context to Generate Demonstrations
ThinkTrap: Denial-of-Service Attacks against Black-box LLM Services via Infinite Thinking
Ergodicity and invariant measure approximation of the stochastic Cahn-Hilliard equation via an explicit fully discrete scheme
SinDiffusion: Learning a Diffusion Model from a Single Natural Image
Stabilizing switching signals: a transition from point-wise to asymptotic conditions
Learning Natural Language Inference using Bidirectional LSTM model and Inner-Attention
Are Programming Paradigms Paradigms? A Critical Examination of Floyd's Appropriation of Kuhn's Philosophy
Optimal Load Shedding for Public Safety Power Shutoffs
Fundamentals of the Holomorphic Embedding Load-Flow Method
Learning Cybersecurity vs. Ethical Hacking: A Comparative Pathway for Aspiring Students
A wearable Gait Assessment Method for Lumbar Disc Herniation Based on Adaptive Kalman Filtering
X-ray Made Simple: Radiology Report Generation and Evaluation with Layman's Terms
Robot Swarming over the internet
Robust Audio Watermarking Against the D/A and A/D conversions
SRSplat: Feed-Forward Super-Resolution Gaussian Splatting from Sparse Multi-View Images
A metaheuristic multi-objective interaction-aware feature selection method
On AI-Inspired UI-Design
Forecast Analysis of the COVID-19 Incidence in Lebanon: Prediction of Future Epidemiological Trends to Plan More Effective Control Programs
On the Relationship between Trading Network and WWW Network: A Preferential Attachment Perspective
Cooperative data-driven modeling
DFineNet: Ego-Motion Estimation and Depth Refinement from Sparse, Noisy Depth Input with RGB Guidance
SENSOR: A Cost-Efficient Open-Source Flow Monitoring Platform
Emoji Prediction: Extensions and Benchmarking
Lunaport: Math, Mechanics & Transport
Causal Reasoning with Spatial-temporal Representation Learning: A Prospective Study
Large-Scale Self-Powered Vibration Control: Theory and Experiment
CAD-Tokenizer: Towards Text-based CAD Prototyping via Modality-Specific Tokenization
Semantic Visual Simultaneous Localization and Mapping: A Survey on State of the Art, Challenges, and Future Directions
Learning Optimal Power Flow Value Functions with Input-Convex Neural Networks
Estimation of Gas Turbine Shaft Torque and Fuel Flow of a CODLAG Propulsion System Using Genetic Programming Algorithm
Approaching the Source of Symbol Grounding with Confluent Reductions of Abstract Meaning Representation Directed Graphs
On Isomorphism of "Functional" Intersection and Union Types
Auctions Meet Bandits: An Empirical Analysis
Thermodynamic Focusing for Inference-Time Search: Practical Methods for Target-Conditioned Sampling and Prompted Inference
Effective performance of information retrieval on web by using web crawling
Dynamically Feasible Path Planning in Cluttered Environments via Reachable Bezier Polytopes
The Online Disjoint Set Cover Problem and its Applications
Hierarchical (Deep) Echo State Networks with Uncertainty Quantification for Spatio-Temporal Forecasting
On residual network depth
Staging Transformations for Multimodal Web Interaction Management
Towards Failure Resiliency in 5G: Service Shifting
A Data-driven feature selection and machine-learning model benchmark for the prediction of longitudinal dispersion coefficient
When Large Language Models Meet Citation: A Survey
Armoured Fighting Vehicle Team Performance Prediction against Missile Attacks with Directed Energy Weapons
TreeP: A Tree-Based P2P Network Architecture
Optimum Output Long Short-Term Memory Cell for High-Frequency Trading Forecasting
A New Approach in Optimal Control of Step-Down Converters Based on a Switch-State Controller
Discussion of 'Multiscale Fisher's Independence Test for Multivariate Dependence'
Scaling of hardware-compatible perturbative training algorithms
LiVisSfM: Accurate and Robust Structure-from-Motion with LiDAR and Visual Cues
Ethics through the Facets of Artificial Intelligence
Glioblastoma Overall Survival Prediction With Vision Transformers
Pricing-based Distributed Energy-Efficient Beamforming for MISO Interference Channels
C3: Learning Congestion Controllers with Formal Certificates
Edge-PRUNE: Flexible Distributed Deep Learning Inference
Proceedings of the 19th International Workshop on Logical and Semantic Frameworks, with Applications, LSFA 2024, Goiânia, Brazil, 18th-20th September 2024
Finite element method for the numerical simulation of modified Poisson-Nernst-Planck/Navier-Stokes model
Reproducibility Report: Contextualizing Hate Speech Classifiers with Post-hoc Explanation
Content-adaptive Representation Learning for Fast Image Super-resolution
Interpretable Neural ODEs for Gene Regulatory Network Discovery under Perturbations
Using Higher-Order Moments to Assess the Quality of GAN-generated Image Features
Forward and backward error bounds for a mixed precision preconditioned conjugate gradient algorithm
On Erdős-Gallai and Havel-Hakimi algorithms
Fault Diagnosis in New Wind Turbines using Knowledge from Existing Turbines by Generative Domain Adaptation
DiffLoad: Uncertainty Quantification in Load Forecasting with Diffusion Model
Learn and Search: An Elegant Technique for Object Lookup using Contrastive Learning
The Closed Resolver Project: Measuring the Deployment of Source Address Validation of Inbound Traffic
Algebraic solution to a constrained rectilinear minimax location problem on the plane
Navigating the growing field of research on AI for software testing - the taxonomy for AI-augmented software testing and an ontology-driven literature survey
Identifying Biased Subgroups in Ranking and Classification
ActiveUMI: Robotic Manipulation with Active Perception from Robot-Free Human Demonstrations
Peer-to-Peer Multimedia Sharing based on Social Norms
Linear Complexity ℋ 2 Direct Solver for Fine-Grained Parallel Architectures
Large Scale Radio Frequency Wideband Signal Detection & Recognition
Simple and Efficient Secret Sharing Schemes for Sharing Data and Image
Safeguarding Mobile GUI Agent via Logic-based Action Verification
Sparse Combinatorial Group Testing for Low-Energy Massive Random Access
Dimension and Relative Frequencies
Resource-monotonicity and Population-monotonicity in Connected Cake-cutting
The Open Language Archives Community and Asian Language Resources
Estimating the reach of a manifold via its convexity defect function
Towards Code Generation for Octree-Based Multigrid Solvers
Exact and Robust Conformal Inference Methods for Predictive Machine Learning With Dependent Data
On efficient block Krylov-solvers for ℋ 2 -matrices
Gaussian Approximation for Two-Timescale Linear Stochastic Approximation
Latent Regression Bayesian Network for Data Representation
CCMN: A General Framework for Learning with Class-Conditional Multi-Label Noise
Machine learning based animal emotion classification using audio signals
Surprisingly Rational: Evidence that people follow probability theory when judging probabilities, and that biases in judgment are due to noise
Posture Recognition in the Critical Care Settings using Wearable Devices
CompOFA: Compound Once-For-All Networks for Faster Multi-Platform Deployment
Linearizable Replicated State Machines with Lattice Agreement
On Reachability for Unidirectional Channel Systems Extended with Regular Tests
Geometry Aware Operator Transformer as an Efficient and Accurate Neural Surrogate for PDEs on Arbitrary Domains
KnowledgeSmith: Uncovering Knowledge Updating in LLMs with Model Editing and Unlearning
Forward and Inverse Problems in Nonlinear Acoustics
Labeling Algorithm and Compact Routing Scheme for a Small World Network Model
Circuit Satisfiability Problem for circuits of small complexity
Bridging Language Gaps: Advances in Cross-Lingual Information Retrieval with Multilingual LLMs
A New Inexact Proximal Linear Algorithm with Adaptive Stopping Criteria for Robust Phase Retrieval
A Systematic Evaluation of API-Misuse Detectors