yusuke1997/dblp-id-title huggingface dataset:
Bridging VLMs and Embodied Intelligence with Deliberate Practice Policy Optimization
Integrality Gaps for Bounded Color Matchings
Algorithms and Statistical Models for Scientific Discovery in the Petabyte Era
A combinatorial proof for the secretary problem with multiple choices
Hybrid Life: Integrating Biological, Artificial, and Cognitive Systems
GLo-MAPPO: A Multi-Agent Proximal Policy Optimization for Energy Efficiency in UAV-Assisted LoRa Networks
Pre-training and Diagnosing Knowledge Base Completion Models
Deep Learning of Cell Classification using Microscope Images of Intracellular Microtubule Networks
MMoE: Robust Spoiler Detection with Multi-modal Information and Domain-aware Mixture-of-Experts
Linked Dynamic Graph CNN: Learning on Point Cloud via Linking Hierarchical Features
U-CE: Uncertainty-aware Cross-Entropy for Semantic Segmentation
A Microphone Array and Voice Algorithm based Smart Hearing Aid
Biologically Inspired Semantic Lateral Connectivity for Convolutional Neural Networks
Balanced Diffusion-Guided Fusion for Multimodal Remote Sensing Classification
Extending Partial Representations of Unit Circular-arc Graphs
Cumulative Prospect Theory Meets Reinforcement Learning: Estimation and Control
Physically-Based Simulation of Automotive LiDAR
Efficient Mixed-Precision Large Language Model Inference with TurboMind
Counting Square-Free Numbers
Topology Sculptor, Shape Refiner: Discrete Diffusion Model for High-Fidelity 3D Meshes Generation
Evaluating eVTOL Network Performance and Fleet Dynamics through Simulation-Based Analysis
Procedural Noise Adversarial Examples for Black-Box Attacks on Deep Neural Networks
Graph Neural Networks for Small Graph and Giant Network Representation Learning: An Overview
On the Lazy Set object
Evaluation of Lidar-based 3D SLAM algorithms in SubT environment
Dimension reduction, exact recovery, and error estimates for sparse reconstruction in phase space
Spatial Clustering of Galaxies in Large Datasets
Building Better Datasets: Seven Recommendations for Responsible Design from Dataset Creators
LangSAT: A Novel Framework Combining NLP and Reinforcement Learning for SAT Solving
Subspace codes from Ferrers diagrams
Autonomous Docking of Multi-Rotor UAVs on Blimps under the Influence of Wind Gusts
A Unified Survey on Anomaly, Novelty, Open-Set, and Out-of-Distribution Detection: Solutions and Future Challenges
Discrete-Time Mean-Variance Strategy Based on Reinforcement Learning
Graphs Meet AI Agents: Taxonomy, Progress, and Future Opportunities
A Novel Approach to Evaluating Battery Charger Controller Design with Nonlinear PID Controller in an Extendable CHIL Setup
Full Attention Bidirectional Deep Learning Structure for Single Channel Speech Enhancement
RealBench: Benchmarking Verilog Generation Models with Real-World IP Designs
OmniVCus: Feedforward Subject-driven Video Customization with Multimodal Control Conditions
Verifying Outsourced Computation in an Edge Computing Marketplace
Development of spatial suppression surrounding the focus of visual attention
Pre-Columbian Settlements Shaped Palm Clusters in the Sierra Nevada de Santa Marta, Colombia
An Improved Model Ensembled of Different Hyper-parameter Tuned Machine Learning Algorithms for Fetal Health Prediction
Intelligent System for Automated Molecular Patent Infringement Assessment
Multilevel beamforming for high data rate communication in 5G networks
LSTM-Based Adaptive Vehicle Position Control for Dynamic Wireless Charging
Unicorns Do Not Exist: Employing and Appreciating Community Managers in Open Source
KCR: Resolving Long-Context Knowledge Conflicts via Reasoning in LLMs
Perfect Sampling of Markov Chains with Piecewise Homogeneous Events
LAPT: Label-driven Automated Prompt Tuning for OOD Detection with Vision-Language Models
Proceedings 5th International Workshop on Logical Frameworks and Meta-languages: Theory and Practice, LFMTP 2010, Edinburgh, UK, 14th July 2010
Simplifying Subgraph Representation Learning for Scalable Link Prediction
SceneEdited: A City-Scale Benchmark for 3D HD Map Updating via Image-Guided Change Detection
Self-supervised Group Meiosis Contrastive Learning for EEG-Based Emotion Recognition
Intelligent Agents with Emotional Intelligence: Current Trends, Challenges, and Future Prospects
Enhanced Robot Arm at the Edge with NLP and Vision Systems
Thread of Thought Unraveling Chaotic Contexts
Serverless inferencing on Kubernetes
Condorcet's Principle and the Preference Reversal Paradox
Single LLM Debate, MoLaCE: Mixture of Latent Concept Experts Against Confirmation Bias
Shifting the Phase Transition Threshold for Random Graphs and 2-SAT using Degree Constraints
A Direction Search and Spectral Clustering Based Approach to Subspace Clustering
Optimal multiple FSO transceiver configuration for using on High-altitude platforms
Speaker-specific Thresholding for Robust Imposter Identification in Unseen Speaker Recognition
Graph Conditional Flow Matching for Relational Data Generation
Automated MIMO Motion Feedforward Control: Efficient Learning through Data-Driven Gradients via Adjoint Experiments and Stochastic Approximation
Numerical approximation of effective diffusivities in homogenization of nondivergence-form equations with large drift by a Lagrangian method
Hybrid Feedback for Autonomous Navigation in Environments with Arbitrary Non-Convex Obstacles
3D High-Resolution Cardiac Segmentation Reconstruction from 2D Views using Conditional Variational Autoencoders
Abelian Group Codes for Source Coding and Channel Coding
Models we Can Trust: Toward a Systematic Discipline of (Agent-Based) Model Interpretation and Validation
Rematch: Robust and Efficient Matching of Local Knowledge Graphs to Improve Structural and Semantic Similarity
Static Dependency Pair Method based on Strong Computability for Higher-Order Rewrite Systems
Adaptive PD Control using Deep Reinforcement Learning for Local-Remote Teleoperation with Stochastic Time Delays
Privacy-preserving Data Splitting: A Combinatorial Approach
Secure Optimization Through Opaque Observations
Generating Furry Cars: Disentangling Object Shape & Appearance across Multiple Domains
A Robust Approach for LiDAR-Inertial Odometry Without Sensor-Specific Modeling
Fully Digital: Policy and Process Implications for the AAS
Integrated unpaired appearance-preserving shape translation across domains
Incremental capacity-based multi-feature fusion model for predicting state-of-health of lithium-ion batteries
Discrete State-Action Abstraction via the Successor Representation
A Fast and Robust Reformulation of the UVN-Flash Problem via Direct Entropy Maximization
A Symbolic and Surgical Acquisition of Terms through Variation
TARFVAE: Efficient One-Step Generative Time Series Forecasting via TARFLOW based VAE
Approximate predictive control barrier function for discrete-time systems
Data-Driven Learnability Transition of Measurement-Induced Entanglement
Learning to Optimize Capacity Planning in Semiconductor Manufacturing
Algorithmic Complexity in Minority Game
On combining features for single-channel robust speech recognition in reverberant environments
Online Non-convex Learning for River Pollution Source Identification
Zero-Shot Document Understanding using Pseudo Table of Contents-Guided Retrieval-Augmented Generation
MSCoTDet: Language-driven Multi-modal Fusion for Improved Multispectral Pedestrian Detection
MCU-Net: A framework towards uncertainty representations for decision support system patient referrals in healthcare contexts
Constrained Reinforcement Learning for Robotics via Scenario-Based Programming
3D-CVF: Generating Joint Camera and LiDAR Features Using Cross-View Spatial Feature Fusion for 3D Object Detection
Fuzzy, Symbolic, and Contextual: Enhancing LLM Instruction via Cognitive Scaffolding
Remarkable upper bounds for the interpolation error constants on the triangles
Regression-Based Estimation of Causal Effects in the Presence of Selection Bias and Confounding
Convergence of Bayesian Nash Equilibrium in Infinite Bayesian Games under Discretization
Perfect diffusion is TC 0 - Bad diffusion is Turing-complete
The Shortest Even Cycle Problem is Tractable
Numerical solution of a two dimensional tumour growth model with moving boundary
Edge Computing For Smart Health: Context-aware Approaches, Opportunities, and Challenges
PRISM: Phase-enhanced Radial-based Image Signature Mapping framework for fingerprinting AI-generated images
Common Spatial Generative Adversarial Networks based EEG Data Augmentation for Cross-Subject Brain-Computer Interface
Optimal, scalable forward models for computing gravity anomalies
On the Power of Non-Adaptive Learning Graphs
Strong and weak convergence orders of numerical methods for SDEs driven by time-changed Lévy noise
Acyclic Edge Coloring of 3-sparse Graphs
Reliable Prediction of Channel Assignment Performance in Wireless Mesh Networks
Fusion of the Power from Citations: Enhance your Influence by Integrating Information from References
Tempo Adaption in Non-stationary Reinforcement Learning
A Duality Transform for Constructing Small Grid Embeddings of 3d Polytopes
soc2seq: Social Embedding meets Conversation Model
Do We Exploit all Information for Counterfactual Analysis? Benefits of Factor Models and Idiosyncratic Correction
From latent factors to language: a user study on LLM-generated explanations for an inherently interpretable matrix-based recommender system
Models, Pixels, and Rewards: Evaluating Design Trade-offs in Visual Model-Based Reinforcement Learning
A Systematic Review and Meta-Analysis on Sleep Stage Classification and Sleep Disorder Detection Using Artificial Intelligence
Refining the Structure of Neural Networks Using Matrix Conditioning
Detecting Forged Facial Videos using convolutional neural network
Real-time Classification from Short Event-Camera Streams using Input-filtering Neural ODEs
Making Public Safety Data Accessible in the Westside Atlanta Data Dashboard
Coaching a Robotic Sonographer: Learning Robotic Ultrasound with Sparse Expert's Feedback
Review of end-to-end speech synthesis technology based on deep learning
Reduced Incidence algebras description of cobweb posets and KoDAGs
Faster, Lighter, More Accurate: A Deep Learning Ensemble for Content Moderation
Arbitrary-order asymptotic expansions of Gaussian quadrature rules with classical and generalised weight functions
Decoder Error Probability of MRD Codes
How much is convenient to defect? A method to estimate the cooperation probability in Prisoner's Dilemma and other games
Enhancing Software Development Process (ESDP) using Data Mining Integrated Environment
LLM-Based Social Simulations Require a Boundary
Using Embeddings to Correct for Unobserved Confounding
Decentralized Impedance Control for Cooperative Manipulation of Multiple Underwater Vehicle Manipulator Systems under Lean Communication
Multi-Agent Based Simulation for Investigating Electric Vehicle Adoption and Its Impacts on Electricity Distribution Grids and CO2 Emissions
RGB-D Salient Object Detection with Ubiquitous Target Awareness
PENEX: AdaBoost-Inspired Neural Network Regularization
How not to secure wireless sensor networks revisited: Even if you say it twice it's still not secure
A Machine Learning Framework for Data Ingestion in Document Images
Document stream clustering: experimenting an incremental algorithm and AR-based tools for highlighting dynamic trends
Models Can and Should Embrace the Communicative Nature of Human-Generated Math
Heart Diseases Prediction Using Block-chain and Machine Learning
Why and When Can Deep - but Not Shallow - Networks Avoid the Curse of Dimensionality: a Review
Reflex-based Motion Strategy of Musculoskeletal Humanoids under Environmental Contact Using Muscle Relaxation Control
MULE: Multi-terrain and Unknown Load Adaptation for Effective Quadrupedal Locomotion
A Hybrid Reinforcement Learning Framework for Hard Latency Constrained Resource Scheduling
A Data-Augmentation Is Worth A Thousand Samples: Exact Quantification From Analytical Augmented Sample Moments
Wide Inference Network for Image Denoising
Downlink Clustering-Based Scheduling of IRS-Assisted Communications With Reconfiguration Constraints
An Incremental Sampling and Segmentation-Based Approach for Motion Planning Infeasibility
Variational Quantum Eigensolver Models of Molecular Quantum Dot Cellular Automata
EvilGenie: A Reward Hacking Benchmark
Improved lung segmentation based on U-Net architecture and morphological operations
A Quantum Approximation Scheme for k-Means
PUUMA (Placental patch and whole-Uterus dual-branch U-Mamba-based Architecture): Functional MRI Prediction of Gestational Age at Birth and Preterm Risk
How to combine diagrammatic logics
MM-Embed: Universal Multimodal Retrieval with Multimodal LLMs
Decomposing Relationship from 1-to-N into N 1-to-1 for Text-Video Retrieval
Which Values Matter to Socially Assistive Robots in Elder Care Settings? Empirically Investigating Values That Should Be Embedded in SARs from a Multi-Stakeholder Perspective
Fusion of Multiscale Features Via Centralized Sparse-attention Network for EEG Decoding
The Dissecting Power of Regular Languages
SISO Decoding of Z4 Linear Kerdock and Preparata Codes
Detection of prostate cancer in whole-slide images through end-to-end training with image-level labels
Efficient Open-world Reinforcement Learning via Knowledge Distillation and Autonomous Rule Discovery
Multiple-Antenna Interference Channel with Receive Antenna Joint Processing and Real Interference Alignment
SMSAT: A Multimodal Acoustic Dataset and Deep Contrastive Learning Framework for Affective and Physiological Modeling of Spiritual Meditation
Chain-of-Strategy Planning with LLMs: Aligning the Generation of Psychotherapy Dialogue with Strategy in Motivational Interviewing
A Novel Deep Reinforcement Learning-based Approach for Enhancing Spectral Efficiency of IRS-assisted Wireless Systems
Long Range Communication on Batteryless Devices
MiCADangelo: Fine-Grained Reconstruction of Constrained CAD Models from 3D Scans
Supporting Future Electrical Utilities: Using Deep Learning Methods in EMS and DMS Algorithms
Facial Action Unit Detection and Intensity Estimation from Self-supervised Representation
Spatio-temporal neural structural causal models for bike flow prediction
Full-Glow: Fully conditional Glow for more realistic image generation
DPCformer: An Interpretable Deep Learning Model for Genomic Prediction in Crops
On the Inflation of KNN-Shapley Value
Chance-Constrained Trajectory Planning with Multimodal Environmental Uncertainty
Automatic Generation of Benchmarks and Reliable LLM Judgment for Code Tasks
3D Pose Detection in Videos: Focusing on Occlusion
Adaptive Online Learning with Momentum for Contingency-based Voltage Stability Assessment
Puzzle: Scheduling Multiple Deep Learning Models on Mobile Device with Heterogeneous Processors
Fully Dynamic Set Cover: Worst-Case Recourse and Update Time
A Stable Implementation of a Well-posed 2-D Curvilinear Shallow Water Equations with No-Penetration Wall and Far-Field Boundary conditions
Collection and Validation of Psycophysiological Data from Professional and Amateur Players: a Multimodal eSports Dataset
SparseCoder: Advancing Source Code Analysis with Sparse Attention and Learned Token Pruning
Constrained tensor factorization for computational phenotyping and mortality prediction in patients with cancer
Federated learning in low-resource settings: A chest imaging study in Africa - Challenges and lessons learned
Heterogeneous Hidden Markov Models for Sleep Activity Recognition from Multi-Source Passively Sensed Data
CodeV-R1: Reasoning-Enhanced Verilog Generation
Sequential Data Generation with Groupwise Diffusion Process
3D-OGSE: Online Smooth Trajectory Generation for Quadrotors using Generalized Shape Expansion in Unknown 3D Environments
OpinSummEval: Revisiting Automated Evaluation for Opinion Summarization
Influence Functions for Efficient Data Selection in Reasoning
GMD: Controllable Human Motion Synthesis via Guided Diffusion Models
Recognition of Handwritten Textual Annotations using Tesseract Open Source OCR Engine for information Just In Time (iJIT)
Beyond the Guruswami-Sudan (and Parvaresh-Vardy) Radii: Folded Reed-Solomon, Multiplicity and Derivative Codes
Dual Perspectives on Non-Contrastive Self-Supervised Learning
Deep Neural Network based Optimal Control of Greenhouses
Machine Learning-Enhanced Prediction of Surface Smoothness for Inertial Confinement Fusion Target Polishing Using Limited Data
AI-Enabled Lung Cancer Prognosis
Prompt-Consistency Image Generation (PCIG): A Unified Framework Integrating LLMs, Knowledge Graphs, and Controllable Diffusion Models
Complex Critical Points of Deep Linear Neural Networks
Semantic Diversity versus Visual Diversity in Visual Dictionaries
Go to Zero: Towards Zero-shot Motion Generation with Million-scale Data
Dynamical softassign and adaptive parameter tuning for graph matching
Centroidal Voronoi Tessellations as Electrostatic Equilibria: A Generalized Thomson Problem in Convex Domains
Profiling Obese Subgroups in National Health and Nutritional Status Survey Data using Machine Learning Techniques: A Case Study from Brunei Darussalam
Guided Disentanglement in Generative Networks
Compositional 3D Human-Object Neural Animation
Detection of Light Sleep Periods Using an Accelerometer Based Alarm System
BioLeaF: A Bio-plausible Learning Framework for Training of Spiking Neural Networks
Attentive Aspect Modeling for Review-aware Recommendation
GenPO: Generative Diffusion Models Meet On-Policy Reinforcement Learning
QOG:Question and Options Generation based on Language Model
On the Min-cost Traveling Salesman Problem with Drone
Reinforcement learning of optimal active particle navigation
Semi-supervised Batch Active Learning via Bilevel Optimization
Using Real Names of Disabled Participant-Contributors to Practice Citational Justice in Accessibility
Digital elevation model correction in urban areas using extreme gradient boosting, land cover and terrain parameters
ReconViaGen: Towards Accurate Multi-view 3D Object Reconstruction via Generation
Adaptive Deep Learning for High Dimensional Hamilton-Jacobi-Bellman Equations
Injectivity of polynomials over finite discrete dynamical systems
Realistic face animation generation from videos
A review of the Separation Theorem of Chebyshev-Markov-Stieltjes for polynomial and some rational Krylov subspaces
FedHB: Hierarchical Bayesian Federated Learning
CELLmap: Enhancing LiDAR SLAM through Elastic and Lightweight Spherical Map Representation
Detecting and Locating Disturbances in High Voltage Electrical Networks
Channel Capacity Enhancement of SWIPT based CNOMA Downlink Transmission with Orbital Angular Momentum over Rician Fading Channel
Structure-informed operator learning for parabolic Partial Differential Equations
Do You Trust ChatGPT? - Perceived Credibility of Human and AI-Generated Content
Propensity Formation-Containment Control of Fully Heterogeneous Multi-Agent Systems via Online Data-Driven Learning
Robust Adaptive Sparse Channel Estimation in the Presence of Impulsive Noises
Language Models Benefit from Preparation with Elicited Knowledge
Density-Driven Optimal Control for Non-Uniform Area Coverage in Decentralized Multi-Agent Systems Using Optimal Transport
MASt3R-SfM: a Fully-Integrated Solution for Unconstrained Structure-from-Motion
Another look at expurgated bounds and their statistical-mechanical interpretation
Multistage non-deterministic classification using secondary concept graphs and graph convolutional networks for high-level feature extraction
Adversarial Game-Theoretic Algorithm for Dexterous Grasp Synthesis
From tools to thieves: Measuring and understanding public perceptions of AI through crowdsourced metaphors
Is Texture Predictive for Age and Sex in Brain MRI?
DSO: Direct Steering Optimization for Bias Mitigation
Interpretable and Pedagogical Examples
A Method for Identifying Origin of Digital Images Using a Convolution Neural Network
Towards Threshold Key Exchange Protocols
Is the new citation-rank approach P100' in bibliometrics really new?
Robust predicate and function computation in continuous chemical reaction networks
ContourletNet: A Generalized Rain Removal Architecture Using Multi-Direction Hierarchical Representation
Distributed User Association in Energy Harvesting Small Cell Networks: A Competitive Market Model with Uncertainty
Collective decision making and paradoxical games
SAR-to-RGB Translation with Latent Diffusion for Earth Observation
Generalized Quantum Shannon Impossibility for Quantum Encryption
Exact Recovery and Bregman Hard Clustering of Node-Attributed Stochastic Block Model
Design and Analysis of a Detuned Series-Series IPT System with Solenoid Coil Structure for Drone Charging Applications
How Numerical Precision Affects Mathematical Reasoning Capabilities of LLMs
Low-power scalable multilayer optoelectronic neural networks enabled with incoherent light
Person Recognition using Smartphones' Accelerometer Data
State-efficient QFA Algorithm for Quantum Computers
LLaDA-VLA: Vision Language Diffusion Action Models
EMPIOT: An Energy Measurement Platform for Wireless IoT Devices
Analysis on distribution and clustering of weight
Whole-Body Control with (Self) Collision Avoidance using Vector Field Inequalities
Real-Time Character Inverse Kinematics using the Gauss-Seidel Iterative Approximation Method
Classification of real Riemann surfaces and their Jacobians in the critical case
Diffusion Transformer Model With Compact Prior for Low-dose PET Reconstruction
Assessing VoD pressure on network power consumption
JurEE not Judges: safeguarding llm interactions with small, specialised Encoder Ensembles
Discovery of Invariants through Automated Theory Formation
Delayed Recognition; the Co-citation Perspective
Soft and subspace robust multivariate rank tests based on entropy regularized optimal transport
A computational model of early language acquisition from audiovisual experiences of young infants
Large-Scale Local Causal Inference of Gene Regulatory Relationships
Designing Visualization Widgets for Tangible Data Exploration: A Systematic Review
Removing Multiple Hybrid Adverse Weather in Video via a Unified Model
Achieving Online Regression Performance of LSTMs with Simple RNNs
Supermodular f-divergences and bounds on lossy compression and generalization error with mutual f-information
An Asymetric Cycle-Consistency Loss for Dealing with Many-to-One Mappings in Image Translation: A Study on Thigh MR Scans
An improved belief propagation algorithm for detecting meso-scale structure in complex networks
A Genetic Algorithm-Based Support Vector Machine Approach for Intelligent Usability Assessment of m-Learning Applications
Fast and Accurate Heuristics for Bus-Factor Estimation
R2CNN: Rotational Region CNN for Orientation Robust Scene Text Detection
GNEP Based Dynamic Segmentation and Motion Estimation for Neuromorphic Imaging
A Deep BSDE approximation of nonlinear integro-PDEs with unbounded nonlocal operators
GMC-IQA: Exploiting Global-correlation and Mean-opinion Consistency for No-reference Image Quality Assessment
Mixed finite element methods for the Landau-Lifshitz-Baryakhtar and the regularised Landau-Lifshitz-Bloch equations in micromagnetics
Understanding the Application of Utility Theory in Robotics and Artificial Intelligence: A Survey
Design And Flight Testing Of LQRi Attitude Control For Quadcopter UAV
MOMENTS: A Comprehensive Multimodal Benchmark for Theory of Mind
Elastic Multi-Gradient Descent for Parallel Continual Learning
Statistical Privacy
An Empirical Study on LLM-based Agents for Automated Bug Fixing
Towards a Physical Oracle for the Partition Problem using Analogue Computing
Anti-Phishing Training Does Not Work: A Large-Scale Empirical Assessment of Multi-Modal Training Grounded in the NIST Phish Scale
Hardware/Software Co-Assurance using the Rust Programming Language and ACL2
Latent Representation Learning of Multi-scale Thermophysics: Application to Dynamics in Shocked Porous Energetic Material
Trust in Disinformation Narratives: a Trust in the News Experiment
SUAD: Solid-Channel Ultrasound Injection Attack and Defense to Voice Assistants
Whose Name Comes Up? Auditing LLM-Based Scholar Recommendations
Peter Parker or Spiderman? Disambiguating Multiple Class Labels