yusuke1997/dblp-id-title huggingface dataset:
SLAM-Assisted Coverage Path Planning for Indoor LiDAR Mapping Systems
Towards a Physics Foundation Model
A note on the convergence of nonconvex line search
Dynamic Bi-Elman Attention Networks: A Dual-Directional Context-Aware Test-Time Learning for Text Classification
Beyond Language Models: Byte Models are Digital World Simulators
Learning Actionable Representations with Goal-Conditioned Policies
Sharp indistinguishability bounds from non-uniform approximations
Towards Combining HTN Planning and Geometric Task Planning
Einstein Fields: A Neural Perspective To Computational General Relativity
DONeRF: Towards Real-Time Rendering of Neural Radiance Fields using Depth Oracle Networks
Constraining the outputs of ReLU neural networks
Distilling Black-Box Travel Mode Choice Model for Behavioral Interpretation
Locality-sensitive hashing of curves
Causal Inference in Geosciences with Kernel Sensitivity Maps
Machines Learn Appearance Bias in Face Recognition
Reconfiguration of Distributed Information Fusion System ? A case study
Learning to Separate Domains in Generalized Zero-Shot and Open Set Learning: a probabilistic perspective
Evaluating Large Language Models through Gender and Racial Stereotypes
CoVAR: Co-generation of Video and Action for Robotic Manipulation via Multi-Modal Diffusion
Application of Asynchronous Weak Commitment Search in Autonomous Quality of Service Provision in Cognitive Radio Networks
Does a Rising Tide Lift All Boats? Bias Mitigation for AI-based CMR Segmentation
An Inventory of Preposition Relations
AReS and MaRS - Adversarial and MMD-Minimizing Regression for SDEs
Pseudo-D: Informing Multi-View Uncertainty Estimation with Calibrated Neural Training Dynamics
OPRA-Vis: Visual Analytics System to Assist Organization-Public Relationship Assessment with Large Language Models
A Perspective for Adapting Generalist AI to Specialized Medical AI Applications and Their Challenges
What Matters in Learning A Zero-Shot Sim-to-Real RL Policy for Quadrotor Control? A Comprehensive Study
Explaining Drift using Shapley Values
Blind VQA on 360° Video via Progressively Learning from Pixels, Frames and Video
Single UHD Image Dehazing via Interpretable Pyramid Network
Detection of Autonomic Dysreflexia in Individuals With Spinal Cord Injury Using Multimodal Wearable Sensors
Cross-Domain Face Verification: Matching ID Document and Self-Portrait Photographs
DMT-JEPA: Discriminative Masked Targets for Joint-Embedding Predictive Architecture
SINH-acceleration for B-spline projection with Option Pricing Applications
Given Enough Eyeballs, All Bugs Are Shallow? Revisiting Eric Raymond with Bug Bounty Programs
Stochastic Online Control for Energy-Harvesting Wireless Networks with Battery Imperfections
Online Modeling and Monitoring of Dependent Processes under Resource Constraints
DAMBench: A Multi-Modal Benchmark for Deep Learning-based Atmospheric Data Assimilation
Enhancing Zero-shot Text-to-Speech Synthesis with Human Feedback
Network Traffic Anomalies Detection and Identification with Flow Monitoring
Does V-NIR based Image Enhancement Come with Better Features?
Blockage Type Detection Process in Triangular-wave Topology for mmWave Wireless Backhaul
A GAN-based data poisoning framework against anomaly detection in vertical federated learning
Instance adaptive adversarial training: Improved accuracy tradeoffs in neural nets
Dealing with incomplete agents' preferences and an uncertain agenda in group decision making via sequential majority voting
Autonomous Minibus Service with Semi-on-demand Routes in Grid Networks
Vulnerability Analysis of GWireless
HiNet: Hierarchical Classification with Neural Network
Interactive Deep Refinement Network for Medical Image Segmentation
A multi-speaker multi-lingual voice cloning system based on vits2 for limmits 2024 challenge
Architecture Decoupling Is Not All You Need For Unified Multimodal Model
Learning to Remove Lens Flare in Event Camera
MatchDance: Collaborative Mamba-Transformer Architecture Matching for High-Quality 3D Dance Synthesis
Capacities of highly Markovian divisible quantum channels
A PLMs based protein retrieval framework
Learning to Answer Multilingual and Code-Mixed Questions
New Techniques Based On Odd-Edge Total Colorings In Topological Cryptosystem
A Comparative Study of Translation Bias and Accuracy in Multilingual Large Language Models for Cross-Language Claim Verification
Dynamic Graph Configuration with Reinforcement Learning for Connected Autonomous Vehicle Trajectories
Hierarchical Cellular Structures in High-Capacity Cellular Communication Systems
Solution for the EPO CodeFest on Green Plastics: Hierarchical multi-label classification of patents relating to green plastics using deep learning
Quaternion Knowledge Graph Embedding
Duplex-GS: Proxy-Guided Weighted Blending for Real-Time Order-Independent Gaussian Splatting
Subaperture-based Digital Aberration Correction for OCT: A Novel Mathematical Approach
Novel tracking approach based on fully-unsupervised disentanglement of the geometrical factors of variation
An Alternative to Stride-Based RNG for Monte Carlo Transport
Towards Affordance-Aware Articulation Synthesis for Rigged Objects
Teaching Digital Accessibility to Industry Professionals using the Community of Practice Framework: An Experience Report
Bridging Physics-Informed Neural Networks with Reinforcement Learning: Hamilton-Jacobi-Bellman Proximal Policy Optimization (HJBPPO)
Exact Conditional Score-Guided Generative Modeling for Amortized Inference in Uncertainty Quantification
Vision Transformer-based Model for Severity Quantification of Lung Pneumonia Using Chest X-ray Images
Deep Image Matting: A Comprehensive Survey
Distribution of Action Movements (DAM): A Descriptor for Human Action Recognition
Numerical Homogenization of Landau-Lifshitz Equation with Rough Coefficients
An Improvised Frequent Pattern Tree Based Association Rule Mining Technique with Mining Frequent Item Sets Algorithm and a Modified Header Table
Wyner-Ziv Estimators: Efficient Distributed Mean Estimation with Side Information
GeoWorld: Unlocking the Potential of Geometry Models to Facilitate High-Fidelity 3D Scene Generation
An Experiment Study on Federated LearningTestbed
Composing Complex and Hybrid AI Solutions
Physics-guided generative adversarial network to learn physical models
Graphic Narrative with Interactive Stylization Design
Comparing Human Expertise and Large Language Models Embeddings in Content Validity Assessment of Personality Tests
ORCHA - A Performance Portability System for Post-Exascale Systems
J-UniMorph: Japanese Morphological Annotation through the Universal Feature Schema
FROSTER: Frozen CLIP Is A Strong Teacher for Open-Vocabulary Action Recognition
A short proof of correctness of the quasi-polynomial time algorithm for parity games
Estimating the Effect of Crosstalk Error on Circuit Fidelity Using Noisy Intermediate-Scale Quantum Devices
FloraForge: LLM-Assisted Procedural Generation of Editable and Analysis-Ready 3D Plant Geometric Models For Agricultural Applications
Lighter, yet More Faithful: Investigating Hallucinations in Pruned Large Language Models for Abstractive Summarization
Smule Renaissance Small: Efficient General-Purpose Vocal Restoration
An External Knowledge Enhanced Multi-label Charge Prediction Approach with Label Number Learning
A Flexible Job Shop Scheduling Representation of the Autonomous In-Space Assembly Task Assignment Problem
HiCL: Hippocampal-Inspired Continual Learning
How did the shape of your network change? (On detecting anomalies in static and dynamic networks via change of non-local curvatures)
Open government geospatial data on buildings for planning sustainable and resilient cities
Analyzing Enterprise DNS Traffic to Classify Assets and Track Cyber-Health
Interpretable machine learning of amino acid patterns in proteins: a statistical ensemble approach
A Framework for Analysing Driver Interactions with Semi-Autonomous Vehicles
Reversing the Lens: Using Explainable AI to Understand Human Expertise
Recording Reusable and Guided Analytics From Interaction Histories
Stop Evaluating AI with Human Tests, Develop Principled, AI-specific Tests instead
Differential Data Analysis for Recommender Systems
CMOS Circuit Implementation of Spiking Neural Network for Pattern Recognition Using On-chip Unsupervised STDP Learning
Foundation Models for Autonomous Driving Perception: A Survey Through Core Capabilities
Differential Degradation Vulnerabilities in Censorship Circumvention Systems
FTN: Foreground-Guided Texture-Focused Person Re-Identification
Efficient Policy Learning for Non-Stationary MDPs under Adversarial Manipulation
Prediction of the outcome of a Twenty-20 Cricket Match
Towards Safety Evaluations of Theory of Mind in Large Language Models
Outlier-robust moment-estimation via sum-of-squares
Fiber neural networks for the intelligent optical fiber communications
CoTMR: Chain-of-Thought Multi-Scale Reasoning for Training-Free Zero-Shot Composed Image Retrieval
Breeding Diverse Packings for the Knapsack Problem by Means of Diversity-Tailored Evolutionary Algorithms
Analysis of String Sorting using Heapsort
Dispensed Transformer Network for Unsupervised Domain Adaptation
Causal Reasoning from Meta-reinforcement Learning
Exploring the In-context Learning Ability of Large Language Model for Biomedical Concept Linking
Data driven approximation of parametrized PDEs by Reduced Basis and Neural Networks
Correlation of Rankings in Matching Markets
A Neighbor-based Approach to Pitch Ownership Models in Soccer
Provably Efficient Instanton Search Algorithm for LP decoding of LDPC codes over the BSC
Does the performance of TDD hold across software companies and premises? A group of industrial experiments on TDD
CreatureShop: Interactive 3D Character Modeling and Texturing from a Single Color Drawing
Pruning-based Topology Refinement of 3D Mesh using a 2D Alpha Mask
Automated Repair of Ambiguous Natural Language Requirements
Evolution of the lexicon: a probabilistic point of view
What if We Enrich day-ahead Solar Irradiance Time Series Forecasting with Spatio-Temporal Context?
Syntax-informed Question Answering with Heterogeneous Graph Transformer
OpenCity: Open Spatio-Temporal Foundation Models for Traffic Prediction
Nonparametric Contextual Bandits in an Unknown Metric Space
On Codes from Split Metacyclic Groups
A Survey on Load Balancing Algorithms for VM Placement in Cloud Computing
Hyper-spectral NIR and MIR data and optimal wavebands for detecting of apple tree diseases
Kernel-based Federated Learning with Personalization
Meaningfully Explaining a Model's Mistakes
ReasonMed: A 370K Multi-Agent Generated Dataset for Advancing Medical Reasoning
Modifications of FastICA in Convolutive Blind Source Separation
Colouring triangle-free graphs with local list sizes
SelfAug: Mitigating Catastrophic Forgetting in Retrieval-Augmented Generation via Distribution Self-Alignment
An Empirical Study on Leanness and Flexibility in Distributed Software Development
Design Considerations for Human Oversight of AI: Insights from Co-Design Workshops and Work Design Theory
Federated Retrieval-Augmented Generation: A Systematic Mapping Study
Oversampling is a necessity for RBF-collocation method of lines
Reinforcement Learning and Bandits for Speech and Language Processing: Tutorial, Review and Outlook
An Optimization-based Baseline for Rigid 2D/3D Registration Applied to Spine Surgical Navigation Using CMA-ES
Multi-View Consistent Human Image Customization via In-Context Learning
Embody 3D: A Large-scale Multimodal Motion and Behavior Dataset
Language Models Coupled with Metacognition Can Outperform Reasoning Models
Performance Analysis and Optimization of Multi-RIS-Aided UAV Networks
BrainRotViT: Transformer-ResNet Hybrid for Explainable Modeling of Brain Aging from 3D sMRI
An Accelerated Pipeline for Multi-label Renal Pathology Image Segmentation at the Whole Slide Image Level
Bounded Expectations: Resource Analysis for Probabilistic Programs
Chebyshev and Conjugate Gradient Filters for Graph Image Denoising
Few-Shot Medical Image Segmentation with High-Fidelity Prototypes
Optimal rates of approximation by shallow ReLU k neural networks and applications to nonparametric regression
Towards Open-Text Semantic Parsing via Multi-Task Learning of Structured Embeddings
Packet-Level DDoS Data Augmentation Using Dual-Stream Temporal-Field Diffusion
Detection of pose orientation across single and multiple axes in case of 3D face images
Explainable Face Recognition via Improved Localization
Pure Price of Anarchy for Generalized Second Price Auction
Condorcet Winners and Anscombes Paradox Under Weighted Binary Voting
From Large Angles to Consistent Faces: Identity-Preserving Video Generation via Mixture of Facial Experts
CapOptix: An Options-Framework for Capacity Market Pricing
Revisiting Relevance Feedback for CLIP-based Interactive Image Retrieval
Robust data-driven control design for linear systems subject to input saturations
CoVoMix2: Advancing Zero-Shot Dialogue Generation with Fully Non-Autoregressive Flow Matching
Annotation Efficient Person Re-Identification with Diverse Cluster-Based Pair Selection
CrosGrpsABS: Cross-Attention over Syntactic and Semantic Graphs for Aspect-Based Sentiment Analysis in a Low-Resource Language
A two-level shifted Laplace preconditioner for Helmholtz problems: Field-of-values analysis and wavenumber-independent convergence
Exploring explicit coarse-grained structure in artificial neural networks
Howl: A Deployed, Open-Source Wake Word Detection System
Fast Fibonacci heaps with worst case extensions
Hierarchical Stacking Optimization Using Dirichlet's Process (SoDip): Towards Accelerated Design for Graft Polymerization
TL: Automatic End-to-End Compiler of Tile-Based Languages for Spatial Dataflow Architectures
Multi-Centroid Hyperdimensional Computing Approach for Epileptic Seizure Detection
Test Case Prioritization Using Partial Attention
Self-Organized Authentication in Mobile Ad-hoc Networks
The complete edge relaxation for binary polynomial optimization
The Automated but Risky Game: Modeling Agent-to-Agent Negotiations and Transactions in Consumer Markets
Task-Oriented Communication for Multi-Device Cooperative Edge Inference
Bivariate Beta LSTM
Lightweight Self-Knowledge Distillation with Multi-source Information Fusion
Energy awareness in low precision neural networks
Prediction with Expert Advice: a PDE Perspective
Calibration and Uncertainty Quantification of Bayesian Convolutional Neural Networks for Geophysical Applications
ConvXAI: Delivering Heterogeneous AI Explanations via Conversations to Support Human-AI Scientific Writing
Adaptive Real-Time Software Defined MIMO Visible Light Communications using Spatial Multiplexing and Spatial Diversity
Optimizing Vehicular Networks with Variational Quantum Circuits-based Reinforcement Learning
The influence of Automated Decision-Making systems in the context of street-level bureaucrats' practices
ReVision: A Dataset and Baseline VLM for Privacy-Preserving Task-Oriented Visual Instruction Rewriting
Rewarding Episodic Visitation Discrepancy for Exploration in Reinforcement Learning
A novel algorithm for the decomposition of non-stationary multidimensional and multivariate signals
Multilingual Email Phishing Attacks Detection using OSINT and Machine Learning
A Diagrammatic Approach to Information Transmission in Generalised Switches
Towards unraveling calibration biases in medical image analysis
DEEM: Diffusion Models Serve as the Eyes of Large Language Models for Image Perception
Android dialogue system for customer service using prompt-based topic control and compliments generation
An Electrocardiogram Multi-task Benchmark with Comprehensive Evaluations and Insightful Findings
Anticoncentration versus the number of subset sums
Improved Results on Integral and Zero-correlation Linear Cryptanalysis of the Block Cipher MIBS
Partial Recovery Bounds for the Sparse Stochastic Block Model
Bacterial Gene Regulatory Neural Network as a Biocomputing Library of Mathematical Solvers
DiffPose: Multi-hypothesis Human Pose Estimation using Diffusion models
A new competition format to avoid collusion in three-team sports tournaments
CoCoNet: A Collaborative Convolutional Network
Evaluating Causal Explanation in Medical Reports with LLM-Based and Human-Aligned Metrics
A Holistic Approach on Smart Garment for Patients with Juvenile Idiopathic Arthritis
A pointwise tracking optimal control problem for the stationary Navier-Stokes equations
Quality Estimation of Machine Translated Texts based on Direct Evidence from Training Data
VL-Taboo: An Analysis of Attribute-based Zero-shot Capabilities of Vision-Language Models
Exploiting Inter-Image Similarity Prior for Low-Bitrate Remote Sensing Image Compression
LightNeuS: Neural Surface Reconstruction in Endoscopy using Illumination Decline
Lettuce: PyTorch-based Lattice Boltzmann Framework
HTM-MAT: An online prediction software toolbox based on cortical machine learning algorithm
Development of a semi-autonomous framework for NDT inspection with a tilting aerial platform
Mean-Variance Optimization and Algorithm for Finite-Horizon Markov Decision Processes
Trivial bundle embeddings for learning graph representations
SeaPO: Strategic Error Amplification for Robust Preference Optimization of Large Language Models
Construction of binary linear constant weight codes by symmetric differences of supports
How Explanations Leak the Decision Logic: Stealing Graph Neural Networks via Explanation Alignment
Place Clustering-based Feature Recombination for Visual Place Recognition
Deformable Image Registration using Unsupervised Deep Learning for CBCT-guided Abdominal Radiotherapy
Precise Time Delay Measurement and Compensation for Tightly Coupled Underwater SINS/piUSBL Navigation
Simulation of Atlantic Hurricane Tracks and Features: A Deep Learning Approach
High order corrected trapezoidal rules for a class of singular integrals
3-Monotone Expanders
Real-Time Stress Detection via Photoplethysmogram Signals: Implementation of a Combined Continuous Wavelet Transform and Convolutional Neural Network on Resource-Constrained Microcontrollers
Gene selection for cancer classification using a hybrid of univariate and multivariate feature selection methods
Data augmentation as stochastic optimization
Real-Time Correlation Tracking via Joint Model Compression and Transfer
Differentiable optimization of the Debye-Wolf integral for light shaping and adaptive optics in two-photon microscopy
MM-Instruct: Generated Visual Instructions for Large Multimodal Model Alignment
Federated Learning Architectures: A Performance Evaluation with Crop Yield Prediction Application
FIHA: Autonomous Hallucination Evaluation in Vision-Language Models with Davidson Scene Graphs
Place-specific Background Modeling Using Recursive Autoencoders
Optimal Rank-1 Directional State Transition Tensors
Bridged Clustering for Representation Learning: Semi-Supervised Sparse Bridging
SOPA: A Framework for Sustainability-Oriented Process Analysis and Re-design in Business Process Management
FuncGenFoil: Airfoil Generation and Editing Model in Function Space
A Knowledge Distillation framework for Multi-Organ Segmentation of Medaka Fish in Tomographic Image
Reducing measles risk in Turkey through social integration of Syrian refugees
CAR - Cityscapes Attributes Recognition A Multi-category Attributes Dataset for Autonomous Vehicles
Exploring text-to-image generation for historical document image retrieval
A triangle process on graphs with given degree sequence
Stochastic mean-shift clustering
Scaling Language-Image Pre-training via Masking
Knowledge-Guided Additive Modeling For Supervised Regression
The Concept of the Deep Learning-Based System "Artificial Dispatcher" to Power System Control and Dispatch
Gamification: a Game Changer for Managing Technical Debt? A Design Study
Semiconductors and Dirichlet-to-Neumann maps
InTraGen: Trajectory-controlled Video Generation for Object Interactions
MX+: Pushing the Limits of Microscaling Formats for Efficient Large Language Model Serving
Identifying the Smallest Adversarial Load Perturbations that Render DC-OPF Infeasible
On the Statistical and Information-theoretic Characteristics of Deep Network Representations
PreCi: Pretraining and Continual Improvement of Humanoid Locomotion via Model-Assumption-Based Regularization
AdaIN-Switchable CycleGAN for Efficient Unsupervised Low-Dose CT Denoising
UME-R1: Exploring Reasoning-Driven Generative Multimodal Embeddings
GPT-OSS-20B: A Comprehensive Deployment-Centric Analysis of OpenAI's Open-Weight Mixture of Experts Model
Semantic Modeling with SUMO
Knowledge Distillation Leveraging Alternative Soft Targets from Non-Parallel Qualified Speech Data
f2IMU-R: Pedestrian Navigation by Low-cost Foot-Mounted Dual IMUs and Inter-foot Ranging
The Approximate Capacity Region of the Gaussian Z-Interference Channel with Conferencing Encoders
KGNN: Distributed Framework for Graph Neural Knowledge Representation
Algorithms for Generalized Cluster-wise Linear Regression
PAGENT: Learning to Patch Software Engineering Agents
Pushing the limits of self-supervised speaker verification using regularized distillation framework
Achievable Rate Analysis and Optimization of Double-RIS Assisted Spatially Correlated MIMO with Statistical CSI
Representations Matter: Embedding Modes of Large Language Models using Dynamic Mode Decomposition
Algebraic Learning: Towards Interpretable Information Modeling
Tweet Influence on Market Trends: Analyzing the Impact of Social Media Sentiment on Biotech Stocks
The Role of GitHub Copilot on Software Development: A Perspec-tive on Productivity, Security, Best Practices and Future Directions
Hierarchical Annotated Skeleton-Guided Tree-based Motion Planning
On Relative Pose Recovery for Multi-Camera Systems
Algorithmic problems in twisted groups of Lie type
Artificial Intelligence in archival and historical scholarship workflow: HTS and ChatGPT
Integrating Cybersecurity in Predictive Cost-Benefit Power Scheduling: A DeepStack Model with Dynamic Defense Mechanism
Retrieving Texts based on Abstract Descriptions
Anticipating the future by watching unlabeled video
If Multicast is the Answer - What was the Question?
Controlling Latent Diffusion Using Latent CLIP
Deep Learning-based Channel Estimation for Wideband Hybrid MmWave Massive MIMO
Dissipative Imitation Learning for Discrete Dynamic Output Feedback Control with Sparse Data Sets
The Optimization Problem of Quantum Discord In the Language of Correlated Observables
Automated Dynamic Image Analysis for Particle Size and Shape Classification in Three Dimensions
Improvement and generalization of ABCD method with Bayesian inference
An algebra of synchronous atomic steps
HuiduRep: A Robust Self-Supervised Framework for Learning Neural Representations from Extracellular Recordings
Leveraging the Potential of Control-Flow Error Resilient Techniques in Multithreaded Programs
Gated Uncertainty-Aware Runtime Dual Invariants for Neural Signal-Controlled Robotics
Fixed-Order H-infinity Controller Design via HIFOO, a Specialized Nonsmooth Optimization Package
CompNet: Neural networks growing via the compact network morphism
Mixed Effects Random Forests for Personalised Predictions of Clinical Depression Severity
Tunable Synaptic Working Memory with Volatile Memristive Devices
Theoretical bounds on data requirements for the ray-based classification
Nearly Optimal Computations with Structured Matrices
Device Variability Analysis for Memristive Material Implication
Analyzing Influential Factors in Human Preference Judgments via GPT-4
FGeo-HyperGNet: Geometry Problem Solving Integrating Formal Symbolic System and Hypergraph Neural Network
Lyapunov stochastic stability and control of robust dynamic coalitional games with transferable utilities
On the Exploitation of Neuroevolutionary Information: Analyzing the Past for a More Efficient Future
Towards Tangible Cultural Heritage Experiences - Enriching VR-Based Object Inspection with Haptic Feedback
Model Checking Spatial Logics for Closure Spaces
RCFD: A Frequency Based Channel Access Scheme for Full Duplex Wireless Networks
Interactive Dialogue Agents via Reinforcement Learning on Hindsight Regenerations
Differentiable Neural Computers with Memory Demon