yusuke1997/dblp-id-title huggingface dataset:
MAGIC-Talk: Motion-aware Audio-Driven Talking Face Generation with Customizable Identity Control
Interpretable learning of effective dynamics for multiscale systems
Moving Target Defense for Deep Visual Sensing against Adversarial Examples
MM-PhyQA: Multimodal Physics Question-Answering With Multi-Image CoT Prompting
A Survey of Explainable Graph Neural Networks: Taxonomy and Evaluation Metrics
Language-Guided Graph Representation Learning for Video Summarization
Robust Tiny Object Detection in Aerial Images amidst Label Noise
Detecting Cyber-Related Discussions in Online Social Platforms
Deep Reinforcement Learning for Efficient and Fair Allocation of Health Care Resources
Degree distribution and scaling in the Connecting Nearest Neighbors model
Transfer learning for non-intrusive load monitoring and appliance identification in a smart home
Decentralized Inference with Graph Neural Networks in Wireless Communication Systems
Merge Frame Design for Video Stream Switching using Piecewise Constant Functions
Developing Corpus-based Translation Methods between Informal and Formal Mathematics: Project Description
Hyperbolic Brain Representations
Fine-tuning of Large Language Models for Constituency Parsing Using a Sequence to Sequence Approach
Binary codes from subset inclusion matrices
Proportion and Perspective Control for Flow-Based Image Generation
Integration of RTMFP in the OMNeT++ Simulation Environment
A Baseline Framework for Part-level Action Parsing and Action Recognition
Data-Efficient Learning for Sim-to-Real Robotic Grasping using Deep Point Cloud Prediction Networks
Distributed interference cancellation in multi-agent scenarios
Extended Comment on the Article "Consistent Development of a Beam-To-Beam Contact Algorithm via the Curve to Solid Beam Contact - Analysis for the Non-Frictional Case"
Programming by Examples Meets Historical Linguistics: A Large Language Model Based Approach to Sound Law Induction
Towards Learning Fine-Grained Disentangled Representations from Speech
A Representational Model of Grid Cells Based on Matrix Lie Algebras
When Focus Enhances Utility: Target Range LDP Frequency Estimation and Unknown Item Discovery
Mitigating Strategy-Selection Bias in Reasoning for More Effective Test-Time Scaling
Complex networks vulnerability to module-based attacks
An AI-driven framework for rapid and localized optimizations of urban open spaces
Games and Computational Complexity
Finding connected components of a graph using traversals associated with iterative methods for solving systems of linear equations
Implicit Multi-Agent Coordination at Unsignalized Intersections via Topological Inference
Missing Slice Recovery for Tensors Using a Low-rank Model in Embedded Space
Empirical Interpretation of the Relationship Between Speech Acoustic Context and Emotion Recognition
Convolution Inference via Synchronization of a Coupled CMOS Oscillator Array
A Machine Learning Approach for Recruitment Prediction in Clinical Trial Design
Manipulated Face Detector: Joint Spatial and Frequency Domain Attention Network
EDGE: A Theoretical Framework for Misconception-Aware Adaptive Learning
Towards Efficient Pre-training: Exploring FP4 Precision in Large Language Models
Siamese Encoding and Alignment by Multiscale Learning with Self-Supervision
Spin-Adapted Neural Network Wavefunctions in Real Space
VeGAn-Tool: A Fuzzy-logic Approach for Value-based Goal Model Analysis
Neighborhoods are good communities
Password Guessers Under a Microscope: An In-Depth Analysis to Inform Deployments
Small Model $2$-Complexes in $4$-space and Applications
Panoptic Scene Graph Generation with Semantics-prototype Learning
Robot in the mirror: toward an embodied computational model of mirror self-recognition
TraveLER: A Multi-LMM Agent Framework for Video Question-Answering
Document Visualization using Topic Clouds
An Overview Of Some Semantic And Syntactic Complexity Classes
Willmore regularized sharp-interface model for strongly anisotropic solid-state dewetting with axisymmetric geometry: modeling and simulation
The Impact of Inference Acceleration Strategies on Bias of LLMs
ARRC: Explainable, Workflow-Integrated Recommender for Sustainable Resource Optimization Across the Edge-Cloud Continuum
EaZy Learning: An Adaptive Variant of Ensemble Learning for Fingerprint Liveness Detection
Rethinking Medical Image Reconstruction via Shape Prior, Going Deeper and Faster: Deep Joint Indirect Registration and Reconstruction
Resilience Evaluation of Kubernetes in Cloud-Edge Environments via Failure Injection
A novel time delay estimation algorithm of acoustic pyrometry for furnace
Simulators for Mobile Social Robots: State-of-the-Art and Challenges
Non-Elitist Selection among Survivor Configurations can Improve the Performance of Irace
Joint Wireless Information and Power Transfer in a Three-Node Autonomous MIMO Relay Network
Twin-width and polynomial kernels
A digital twin framework for civil engineering structures
ForestTrav: Accurate, Efficient and Deployable Forest Traversability Estimation for Autonomous Ground Vehicles
POMDP Manipulation Planning under Object Composition Uncertainty
Cost-efficient QoS-Aware Data Acquisition Point Placement for Advanced Metering Infrastructure
Towards Realisation of Heterogeneous Earth-Observation Sensor Database Framework for the Sensor Observation Service based on PostGIS
Complete Classification of Generalized Santha-Vazirani Sources
Real-Time Machine Learning for Embedded Anomaly Detection
Test Automation for Interactive Scenarios via Promptable Traffic Simulation
Constant Memory Attentive Neural Processes
Numerical approximation of the first p -Laplace eigenpair
Self-Learning AI Framework for Skin Lesion Image Segmentation and Classification
Localization-based OFDM framework for RIS-aided systems
GrowliFlower: An image time series dataset for GROWth analysis of cauLIFLOWER
Quantifying firm-level economic systemic risk from nation-wide supply networks
Efficient Reservoir Management through Deep Reinforcement Learning
Micromachined Inclinometer Based on Fluid Convection
Interacting Conceptual Spaces I : Grammatical Composition of Concepts
Towards Independence Criterion in Machine Unlearning of Features and Labels
Realignment in the NHL, MLB, the NFL, and the NBA
Transmit Beamforming for MIMO Communication Systems with Low Precision ADC at the Receiver
Driving Intelligent IoT Monitoring and Control through Cloud Computing and Machine Learning
MultiViPerFrOG: A Globally Optimized Multi-Viewpoint Perception Framework for Camera Motion and Tissue Deformation
Preprint WebVRGIS Based Traffic Analysis and Visualization System
Luminance-Aware Statistical Quantization: Unsupervised Hierarchical Learning for Illumination Enhancement
Conformance Testing of Mealy Machines Under Input Restrictions
Feature Aggregation Network for Building Extraction from High-resolution Remote Sensing Images
A QLP Decomposition via Randomization
Expertise need not monopolize: Action-Specialized Mixture of Experts for Vision-Language-Action Learning
XFMamba: Cross-Fusion Mamba for Multi-View Medical Image Classification
Exploring home robot capabilities by medium fidelity prototyping
Social Comparison without Explicit Inference of Others' Reward Values: A Constructive Approach Using a Probabilistic Generative Model
Scalable Support Vector Clustering Using Budget
Effectively Fine-tune to Improve Large Multimodal Models for Radiology Report Generation
ShaResNet: reducing residual network parameter number by sharing weights
TUM2TWIN: Introducing the Large-Scale Multimodal Urban Digital Twin Benchmark Dataset
Structuring Quantitative Image Analysis with Object Prominence
UniPart: Part-Level 3D Generation with Unified 3D Geom-Seg Latents
EL-AGHF: Extended Lagrangian Affine Geometric Heat Flow
Human-machine social systems
Gradient Play in $n$-Cluster Games with Zero-Order Information
Estimating or Propagating Gradients Through Stochastic Neurons for Conditional Computation
Prime Path Coverage in the GNU Compiler Collection
Lightweight Operations for Visual Speech Recognition
EyeDoc: Documentation Navigation with Eye Tracking
Convergence Guarantees of a Distributed Network Equivalence Algorithm for Distribution-OPF
Towards Generalizable Drowsiness Monitoring with Physiological Sensors: A Preliminary Study
Diffusion-redistanciation schemes for 2D and 3D constrained Willmore flow: application to the equilibrium shapes of vesicles
Drift with Devil: Security of Multi-Sensor Fusion based Localization in High-Level Autonomous Driving under GPS Spoofing (Extended Version)
Decision Transformer vs. Decision Mamba: Analysing the Complexity of Sequential Decision Making in Atari Games
On the Hardness of Meaningful Local Guarantees in Nonsmooth Nonconvex Optimization
An Energy-Stable Discontinuous Galerkin Method for the Compressible Navier-Stokes-Allen-Cahn System
Error estimates for viscous Burgers' equation using deep learning method
Leveraging Natural Language Processing For Public Health Screening On YouTube: A COVID-19 Case Study
Explicit calculation of singular integrals of tensorial polyadic kernels
QKAN-LSTM: Quantum-inspired Kolmogorov-Arnold Long Short-term Memory
What Can Robots Teach Us About Trust and Reliance? An interdisciplinary dialogue between Social Sciences and Social Robotics
Deeper with Riemannian Geometry: Overcoming Oversmoothing and Oversquashing for Graph Foundation Models
Enhancing into the codec: Noise Robust Speech Coding with Vector-Quantized Autoencoders
Topology-Preserving 3D Image Segmentation Based On Hyperelastic Regularization
Stochastic Prototype Embeddings
kk2018 at SemEval-2020 Task 9: Adversarial Training for Code-Mixing Sentiment Classification
DUAL-VAD: Dual Benchmarks and Anomaly-Focused Sampling for Video Anomaly Detection
Fairness in Ranking Supermartingales
MSEVA : A System for Multimodal Short Videos Emotion Visual Analysis
Towards Adversarial Control Loops in Sensor Attacks: A Case Study to Control the Kinematics and Actuation of Embedded Systems
Transforming Dental Diagnostics with Artificial Intelligence: Advanced Integration of ChatGPT and Large Language Models for Patient Care
Reinforcement Learning in Economics and Finance
FAPR: Fast and Accurate Program Repair for Introductory Programming Courses
Optimized and Trusted Collision Avoidance for Unmanned Aerial Vehicles using Approximate Dynamic Programming (Technical Report)
What is "Spatial" about Spatial Computing?
Embarrassingly Simple Unsupervised Aspect Based Sentiment Tuple Extraction
"Real" Slepian-Wolf Codes
TractoTransformer: Diffusion MRI Streamline Tractography using CNN and Transformer Networks
Exploring Fusion Strategies for Multimodal Vision-Language Systems
DeepAcid: Classification of macromolecule type based on sequences of amino acids
AttackNet: Enhancing Biometric Security via Tailored Convolutional Neural Network Architectures for Liveness Detection
The Essential Role of Causality in Foundation World Models for Embodied AI
Sufficient Statistics and Split Idempotents in Discrete Probability Theory
Quantum Program Linting with LLMs: Emerging Results from a Comparative Study
Context based Analysis of Lexical Semantics for Hindi Language
Task Specific Pruning with LLM-Sieve: How Many Parameters Does Your Task Really Need?
Polynomial-time derivation of optimal k-tree topology from Markov networks
Goal-guided Transformer-enabled Reinforcement Learning for Efficient Autonomous Navigation
Conformal Prediction for Causal Effects of Continuous Treatments
Generating Rationales in Visual Question Answering
Over-Squashing in GNNs and Causal Inference of Rewiring Strategies
Towards Efficient Online Exploration for Reinforcement Learning with Human Feedback
Aerial Robots Persistent Monitoring and Target Detection: Deployment and Assessment in the Field
Post Hoc Regression Refinement via Pairwise Rankings
Gaze Stabilization for Humanoid Robots: a Comprehensive Framework
Teaching Research Design in Software Engineering
A Learning Approach for Joint Design of Event-triggered Control and Power-Efficient Resource Allocation
Perceptual quality comparison between single-layer and scalable videos at the same spatial, temporal and amplitude resolutions
Investigating the Effect of Natural Language Explanations on Out-of-Distribution Generalization in Few-shot NLI
Detecting Convolutional Codes: A Markovian Approach with LRT and DNN
Transparent Programming of Heterogeneous Smartphones for Sensing
Service Placement and Trajectory Design for Heterogeneous Tasks in Multi-UAV Cooperative Computing Networks
Modified Hard Thresholding Pursuit with Regularization Assisted Support Identification
Universal adversarial examples in speech command classification
Intrinisic Gradient Compression for Federated Learning
Changing User Attitudes to Reduce Spreadsheet Risk
Retrieval-augmented Multi-label Text Classification
Temporally Consistent Object Editing in Videos using Extended Attention
Be greedy and learn: efficient and certified algorithms for parametrized optimal control problems
Detection of Alzheimers Disease from MRI using Convolutional Neural Networks, Exploring Transfer Learning And BellCNN
McXai: Local model-agnostic explanation as two games
Structured Compression and Sharing of Representational Space for Continual Learning
Scan-do Attitude: Towards Autonomous CT Protocol Management using a Large Language Model Agent
A scalable computational framework for establishing long-term behavior of stochastic reaction networks
Histopathological Image Classification based on Self-Supervised Vision Transformer and Weak Labels
On the Effect of Suboptimal Estimation of Mutual Information in Feature Selection and Classification
Initial state encoding via reverse quantum annealing and h-gain features
A discrete-event simulation model for driver performance assessment: application to autonomous vehicle cockpit design optimization
AandP: Utilizing Prolog for converting between active sentence and passive sentence with three-steps conversion
Interacting with Massive Behavioral Data
Transforming Engineering Diagrams: A Novel Approach for P&ID Digitization using Transformers
A Multidimensional Cascade Neuro-Fuzzy System with Neuron Pool Optimization in Each Cascade
Categorification of Group Equivariant Neural Networks
Parametric Dynamic Mode Decomposition with multi-linear interpolation for prediction of thermal fields of Al2O3-water nanofluid flows at unseen parameters
MPLR: a novel model for multi-target learning of logical rules for knowledge graph reasoning
Perceptions and attitudes of Children and Young People to Artificial Intelligence in Medicine
Business Intelligence: A Rapidly Growing Option through Web Mining
InverTune: Removing Backdoors from Multimodal Contrastive Learning Models via Trigger Inversion and Activation Tuning
Learning Evaluation Models from Large Language Models for Sequence Generation
On the performance of machine-learning-assisted Monte Carlo in sampling from simple statistical physics models
Puzzle Ideals for Grassmannians
Conformal inference is (almost) free for neural networks trained with early stopping
KwaiAgents: Generalized Information-seeking Agent System with Large Language Models
Predicting the Stability of Hierarchical Triple Systems with Convolutional Neural Networks
Classifying Trusted Hardware via Unidirectional Communication
Two New Kinds of Interference Alignment Schemes for Cellular K-user MIMO Downlink Networks
A study on users' privacy perception with smart devices
Understanding Classifier Mistakes with Generative Models
FPGA based Novel High Speed DAQ System Design with Error Correction
An implicit level set algorithm for hydraulic fracturing with a stress-layer asymptote
Weakly Supervised Few-shot Object Segmentation using Co-Attention with Visual and Semantic Inputs
Automated Bridge Component Recognition using Video Data
Scheduling and allocation algorithm for an elliptic filter
Reconstruction of turbulent data with deep generative models for semantic inpainting from TURB-Rot database
ReINTEL Challenge 2020: A Multimodal Ensemble Model for Detecting Unreliable Information on Vietnamese SNS
Bayesian Fixed-Budget Best-Arm Identification
Control-Scheduling Codesign: A Perspective on Integrating Control and Computing
From Hierarchical Partitions to Hierarchical Covers: Optimal Fault-Tolerant Spanners for Doubling Metrics
Agentomics-ML: Autonomous Machine Learning Experimentation Agent for Genomic and Transcriptomic Data
Orbital Petri Nets: A Novel Petri Net Approach
tsMorph: generation of semi-synthetic time series to understand algorithm performance
Handling geometrical variability in nonlinear reduced order modeling through Continuous Geometry-Aware DL-ROMs
Secure Event-Triggered Distributed Kalman Filters for State Estimation
Expressive power of binary and ternary neural networks
A Generalization of the Łoś-Tarski Preservation Theorem
HuNavSim 2.0: An Enhanced Human Navigation Simulator for Human-Aware Robot Navigation
Generative Adversarial Evasion and Out-of-Distribution Detection for UAV Cyber-Attacks
Sentence Semantic Regression for Text Generation
An Analysis of BitTorrent Cross-Swarm Peer Participation and Geolocational Distribution
Automatic sampling and training method for wood-leaf classification based on tree terrestrial point cloud
Architecture independent generalization bounds for overparametrized deep ReLU networks
Supervised contrastive learning for cell stage classification of animal embryos
Combined Location Online Weather Data: Easy-to-use Targeted Weather Analysis for Agriculture
Between Homomorphic Signal Processing and Deep Neural Networks: Constructing Deep Algorithms for Polyphonic Music Transcription
Distribution Grids May Be a Barrier To Residential Electrification
Dynamical systems in wireless communications: The road less traveled by
UniCoRN: Unified Commented Retrieval Network with LMMs
Hypothesis Testing and Decision Theoretic Approach for Fault Detection in Wireless Sensor Networks
Online Model Swapping in Architectural Simulation
Deep Neural Network Benchmarks for Selective Classification
Compound Node-Kayles on Paths
Fixpoint Games on Continuous Lattices
An improved algorithm for the vertex cover P 3 problem on graphs of bounded treewidth
Audio segmentation based on melodic style with hand-crafted features and with convolutional neural networks
Computing Multi-Eigenpairs of High-Dimensional Eigenvalue Problems Using Tensor Neural Networks
Sampling-based Approximations with Quantitative Performance for the Probabilistic Reach-Avoid Problem over General Markov Processes
Task Selection for AutoML System Evaluation
Family Matters: Language Transfer and Merging for Adapting Small LLMs to Faroese
Machine learning-based conditional mean filter: a generalization of the ensemble Kalman filter for nonlinear data assimilation
A Framework for AI assisted Musical Devices
LogReasoner: Empowering LLMs with Expert-like Coarse-to-Fine Reasoning for Automated Log Analysis
TEMSET-24K: Densely Annotated Dataset for Indexing Multipart Endoscopic Videos using Surgical Timeline Segmentation
From Perils to Possibilities: Understanding how Human (and AI) Biases affect Online Fora
Encoding models for scholarly literature
PSN: Portfolio Social Network
Generalization Bounds for Equivariant Networks on Markov Data
Software Engineering as Instrumentation for the Long Tail of Scientific Software
Optimal Linear Control over Channels with Signal-to-Noise Ratio Constraints
Segmented Trajectory Optimization for Autonomous Parking in Unstructured Environments
Enhancing Language Learning through Technology: Introducing a New English-Azerbaijani (Arabic Script) Parallel Corpus
An Open Source Simulink Based Program for Simulating Power Systems Integrated with Renewable Energy Sources
Examining the Causal Effect of First Names on Language Models: The Case of Social Commonsense Reasoning
Time Series Language Model for Descriptive Caption Generation
Gaussian Process Manifold Interpolation for Probabilistic Atrial Activation Maps and Uncertain Conduction Velocity
Spatial Matching of 2D Mammography Images and Specimen Radiographs: Towards Improved Characterization of Suspicious Microcalcifications
DeeProb-kit: a Python Library for Deep Probabilistic Modelling
Competitive Privacy in the Smart Grid: An Information-theoretic Approach
Learning threshold neurons via the "edge of stability"
On the Optimization of Singular Spectrum Analyses: A Pragmatic Approach
Adaptive Data-Driven Predictive Control as a Module in Building Control Hierarchy: A Case Study of Demand Response in Switzerland
Refining Coarse-grained Spatial Data using Auxiliary Spatial Data Sets with Various Granularities
STITCH-OPE: Trajectory Stitching with Guided Diffusion for Off-Policy Evaluation
Computing in the Life Sciences: From Early Algorithms to Modern AI
Towards Management of Energy Consumption in HPC Systems with Fault Tolerance
Individual Privacy vs Population Privacy: Learning to Attack Anonymization
Self-Supervised Learning in Event Sequences: A Comparative Study and Hybrid Approach of Generative Modeling and Contrastive Learning
Quantum Codes with Addressable and Transversal Non-Clifford Gates
Reducing Overlearning through Disentangled Representations by Suppressing Unknown Tasks
Formation of Robust Multi-Agent Networks Through Self-Organizing Random Regular Graphs
Do Large GPT Models Discover Moral Dimensions in Language Representations? A Topological Study Of Sentence Embeddings
Rethinking Class Activation Maps for Segmentation: Revealing Semantic Information in Shallow Layers by Reducing Noise
Learned Features are better for Ethnicity Classification
A GenEO-type coarse space with smaller eigenproblems
A Knowledge-Graph Translation Layer for Mission-Aware Multi-Agent Path Planning in Spatiotemporal Dynamics
Quantum Circuit Implementation and Resource Analysis of LBlock and LiCi
Investigation of Performance and Scalability of a Quantum-Inspired Evolutionary Optimizer (QIEO) on NVIDIA GPU
Generative vs. Discriminative modeling under the lens of uncertainty quantification
MELDAE: A Framework for Micro-Expression Spotting, Detection, and Automatic Evaluation in In-the-Wild Conversational Scenes
Power Flow Modelling of Dynamic Systems - Introduction to Modern Teaching Tools
A mixed finite element discretization of dynamical optimal transport
Energy Efficient Computation Offloading and Virtual Connection Control in Uplink Small Cell Networks
Tracing in 2D to Reduce the Annotation Effort for 3D Deep Delineation
Constructing Independently Verifiable Privacy-Compliant Type Systems for Message Passing between Black-Box Components
Mitigation of Phase Noise in Massive MIMO Systems: A Rate-Splitting Approach
ShoppingBench: A Real-World Intent-Grounded Shopping Benchmark for LLM-based Agents
Front-end Diarization for Percussion Separation in Taniavartanam of Carnatic Music Concerts
WeatherFormer: A Pretrained Encoder Model for Learning Robust Weather Representations from Small Datasets
A rearrangement distance for fully-labelled trees
Media Forensics and DeepFakes: an overview
Towards energy efficiency and maximum computational intensity for stencil algorithms using wavefront diamond temporal blocking
Language Games as the Pathway to Artificial Superhuman Intelligence
The Role of Communication Technology Across the Life Course: A Field Guide to Social Support in East York
Learning to Retrieve with Weakened Labels: Robust Training under Label Noise
Towards the Modular Specification and Validation of Cyber-Physical Systems
Movable Antenna-Equipped UAV for Data Collection in Backscatter Sensor Networks: A Deep Reinforcement Learning-based Approach
Identifying and Mitigating Gender Bias in Hyperbolic Word Embeddings
High Precision TOA-based Direct Localization of Multiple Sources in Multipath
LaSDI: Parametric Latent Space Dynamics Identification
Noisy Corruption Detection
A Log-Linear Time Sequential Optimal Calibration Algorithm for Quantized Isotonic L2 Regression
ProjectTest: A Project-level LLM Unit Test Generation Benchmark and Impact of Error Fixing Mechanisms
Dense Motion Captioning
Memory Assisted LLM for Personalized Recommendation System
Reciprocity and success in academic careers
On Neural Network approximation of ideal adversarial attack and convergence of adversarial training
Improving TCP/IP Performance over Wireless IEEE 802.11 Link