yusuke1997/dblp-id-title huggingface dataset:
Distributed Kalman filtering with minimum-time consensus algorithm
Transfer Learning between Motor Imagery Datasets using Deep Learning - Validation of Framework and Comparison of Datasets
Dynamic Spectrum Matching with One-shot Learning
RobotFleet: An Open-Source Framework for Centralized Multi-Robot Task Planning
A Machine Learning Tutorial for Operational Meteorology, Part II: Neural Networks and Deep Learning
A Global Context Mechanism for Sequence Labeling
Distributed Observer Design for Tracking Platoon of Connected and Autonomous Vehicles
Rainbow: A Composable Coherence Protocol for Multi-Chip Servers
Optimal Estimation of Change in a Population of Parameters
PPAD-membership for Problems with Exact Rational Solutions: A General Approach via Convex Optimization
Learning to Disambiguate Strongly Interacting Hands via Probabilistic Per-pixel Part Segmentation
Exploring Probabilistic Soft Logic as a framework for integrating top-down and bottom-up processing of language in a task context
A massively parallel semi-Lagrangian solver for the six-dimensional Vlasov-Poisson equation
A Strategy to Combine 1stGen Transformers and Open LLMs for Automatic Text Classification
Quantum Annealing based Hybrid Strategies for Real Time Route Optimization
SegDINO3D: 3D Instance Segmentation Empowered by Both Image-Level and Object-Level 2D Features
Model Explainability in Deep Learning Based Natural Language Processing
An asymptotic preserving scheme for a tumor growth model of porous medium type
WildQA: In-the-Wild Video Question Answering
Bayesian Low-rank Matrix Completion with Dual-graph Embedding: Prior Analysis and Tuning-free Inference
Active learning using region-based sampling
Test cost and misclassification cost trade-off using reframing
Empowering swarm-based optimizers by multi-scale search to enhance Gradient Descent initialization performance
DiPmark: A Stealthy, Efficient and Resilient Watermark for Large Language Models
MeshLRM: Large Reconstruction Model for High-Quality Mesh
Bayesian Optimal Control of Smoothly Parameterized Systems: The Lazy Posterior Sampling Algorithm
Petascale turbulence simulation using a highly parallel fast multipole method
Characterizing Parametric and Convergence Stability in Nonconvex and Nonsmooth Optimizations: A Geometric Approach
ODYSSEY: Open-World Quadrupeds Exploration and Manipulation for Long-Horizon Tasks
Convolutional Neural Networks Can (Meta-)Learn the Same-Different Relation
Local Hamiltonian decomposition and classical simulation of parametrized quantum circuits
CG-fusion CAM: Online segmentation of laser-induced damage on large-aperture optics
System 0/1/2/3: Quad-process theory for multi-timescale embodied collective cognitive systems
Balanced SNR-Aware Distillation for Guided Text-to-Audio Generation
Consistency and differences between centrality metrics across distinct classes of networks
Graph-Based Minimum Dwell Time and Average Dwell Time Computations for Discrete-Time Switched Linear Systems
PersonaAnimator: Personalized Motion Transfer from Unconstrained Videos
Modeling still matters: a surprising instance of catastrophic floating point errors in mathematical biology and numerical methods for ODEs
AMI-FML: A Privacy-Preserving Federated Machine Learning Framework for AMI
Solutions of twisted word equations, EDT0L languages, and context-free groups
A New Non-MDS Hash Function Resisting Birthday Attack and Meet-in-the-middle Attack
Detection of Abnormal Input-Output Associations
Exact Recovery of Non-Random Missing Multidimensional Time Series via Temporal Isometric Delay-Embedding Transform
Aggregated distribution grid flexibilities in subtransmission grid operational management
Proceedings CSR 2010 Workshop on High Productivity Computations, HPC 2010, Kazan, Russia, June 21-22, 2010
Neural Koopman prior for data assimilation
Gaussian Process Regression for Binned Data
MixSearch: Searching for Domain Generalized Medical Image Segmentation Architectures
CNN-based Steganalysis and Parametric Adversarial Embedding: a Game-Theoretic Framework
Semi-automatic definite description annotation: a first report
Covering multigraphs with bipartite graphs
A Stability Result for Sparse Convolutions
Gait Event Detection in Tibial Acceleration Profiles: a Structured Learning Approach
Causal ATE Mitigates Unintended Bias in Controlled Text Generation
S 3 M-Net: Joint Learning of Semantic Segmentation and Stereo Matching for Autonomous Driving
Sparse Waypoint Validity Checking for Self-Entanglement-Free Tethered Path Planning
Convex Latent Effect Logit Model via Sparse and Low-rank Decomposition
Non-Stationary Power System Forced Oscillation Analysis using Synchrosqueezing Transform
Practical and Light-weight Secure Aggregation for Federated Submodel Learning
Federated Deep AUC Maximization for Heterogeneous Data with a Constant Communication Complexity
A Survey of Distributed Intrusion Detection Approaches
Vehicle Rebalancing Under Adherence Uncertainty
What Large-Scale Publication and Citation Data Tell Us About International Research Collaboration in Europe: Changing National Patterns in Global Contexts
Comparing Bad Apples to Good Oranges: Aligning Large Language Models via Joint Preference Optimization
Secondary Access to Spectrum with SINR Requirements Through Constraint Transformation
Combining Adaptive Coding and Modulation with Hierarchical Modulation in Satcom Systems
Unsupervised 4D Cardiac Motion Tracking with Spatiotemporal Optical Flow Networks
Covert Communication with Finite Blocklength in AWGN Channels
Hub-Accelerator: Fast and Exact Shortest Path Computation in Large Social Networks
Identifying relevant indicators for monitoring a National Artificial Intelligence Strategy
Retrieving Implicit and Explicit Emotional Events Using Large Language Models
Incorporating Pre-training Paradigm for Antibody Sequence-Structure Co-design
Assistance-Transmission Tradeoff for RIS-assisted Symbiotic Radios
SHAP-Based Supervised Clustering for Sample Classification and the Generalized Waterfall Plot
Citation Recommendation: Approaches and Datasets
Unified Block Signal Processing Framework for LPWANs: Sequence Index Modulation Spreading
Jump Interval-Learning for Individualized Decision Making
Chinese Song Iambics Generation with Neural Attention-based Model
An Early Stopping Bayesian Data Assimilation Approach for Mixed-Logit Estimation
A fast, complete, point cloud based loop closure for LiDAR odometry and mapping
QAMRO: Quality-aware Adaptive Margin Ranking Optimization for Human-aligned Assessment of Audio Generation Systems
Philosophy of science viewed through the lense of "References Publication Years spectrosopy" (RPYS)
Kolmogorov widths under holomorphic mappings
Tight Quantum-Security Bounds and Parameter Optimization for SPHINCS+ and NTRU
mm-Wave Radar Hand Shape Classification Using Deformable Transformers
Role of Matrix Factorization Model in Collaborative Filtering Algorithm: A Survey
Operator Learning Meets Numerical Analysis: Improving Neural Networks through Iterative Methods
Deep Space Separable Distillation for Lightweight Acoustic Scene Classification
Transformers Meet Hyperspectral Imaging: A Comprehensive Study of Models, Challenges and Open Problems
Fingerprint Recognition Using Minutia Score Matching
Enhancing Computation Pushdown for Cloud OLAP Databases
An Upper Bound of the Minimal Dispersion via Delta Covers
Head-mouse: A simple cursor controller based on optical measurement of head tilt
Robust Single-Point Pushing with Force Feedback
Joint Adaptive Neighbours and Metric Learning for Multi-view Subspace Clustering
Stronger Language Models Produce More Human-Like Errors
SafePILCO: a software tool for safe and data-efficient policy synthesis
Challenges learning from imbalanced data using tree-based models: Prevalence estimates systematically depend on hyperparameters and can be upwardly biased
DeepCompress: A Dual Reward Strategy for Dynamically Exploring and Compressing Reasoning Chains
Open-World Continual Learning: Unifying Novelty Detection and Continual Learning
Can Large Language Models Code Like a Linguist?: A Case Study in Low Resource Sound Law Induction
Reinforcement learning on graph: A survey
Controlling Thinking Speed in Reasoning Models
Reliable COVID-19 Detection Using Chest X-ray Images
Neural Machine Translation of Clinical Text: An Empirical Investigation into Multilingual Pre-Trained Language Models and Transfer-Learning
KULCQ: An Unsupervised Keyword-based Utterance Level Clustering Quality Metric
A DNS Tunnel Sliding Window Differential Detection Method Based on Normal Distribution Reasonable Range Filtering
Navigating Explanatory Multiverse Through Counterfactual Path Geometry
Elucidating the representation of images within an unconditional diffusion model denoiser
Renewable Energy Transition in South America: Predictive Analysis of Generation Capacity by 2050
GraspCorrect: Robotic Grasp Correction via Vision-Language Model-Guided Feedback
How effective are Graph Neural Networks in Fraud Detection for Network Data?
Linguistic unit discovery from multi-modal inputs in unwritten languages: Summary of the "Speaking Rosetta" JSALT 2017 Workshop
Using rational numbers to key nested sets
A Video-Based Activity Classification of Human Pickers in Agriculture
Time-Optimal Path Tracking: Online Scaling with Guarantees
Cross-Layer-Optimized Link Selection for Hologram Video Streaming over Millimeter Wave Networks
Good Lattice Training: Physics-Informed Neural Networks Accelerated by Number Theory
Orchestrating Federated Learning in Space-Air-Ground Integrated Networks: Adaptive Data Offloading and Seamless Handover
Stabilizing Transient Disturbances With Utility-Scale Inverter-Based Resources
Fast approximate furthest neighbors with data-dependent hashing
Academic research groups: evaluation of their quality and quality of their evaluation
Model-Based Single Image Deep Dehazing
Comparison of Communities Detection Algorithms for Multiplex
Does an awareness of differing types of spreadsheet errors aid end-users in identifying spreadsheets errors?
A M|M|m|m Queue System Transient Behavior Study
Neural Stain-Style Transfer Learning using GAN for Histopathological Images
Automatic Rule Learning for Autonomous Driving Using Semantic Memory
Data-Efficient Instance Segmentation with a Single GPU
Class-Aware Mask-Guided Feature Refinement for Scene Text Recognition
Two-Sided Fairness in Many-to-One Matching
Multi-agent KTO: Reinforcing Strategic Interactions of Large Language Model in Language Game
Development of an expected possession value model to analyse team attacking performances in rugby league
MDiff4STR: Mask Diffusion Model for Scene Text Recognition
Recursive nearest agglomeration (ReNA): fast clustering for approximation of structured signals
The Local Optimality of Reinforcement Learning by Value Gradients, and its Relationship to Policy Gradient Learning
A Taxonomy of Causality-Based Biological Properties
Progress, Justness and Fairness
Minimally Actuated Serial Robot
Pathway to a fully data-driven geotechnics: lessons from materials informatics
Best-of-Both-Worlds Fair-Share Allocations
EmoLLM: Multimodal Emotional Understanding Meets Large Language Models
Siamese Attribute-missing Graph Auto-encoder
Large deviation sum-queue optimality of a radial sum-rate monotone opportunistic scheduler
On Green Multicasting over Cognitive Radio Fading Channels
Crossing the Academic Ocean? Judit Bar-Ilan's Oeuvre on Search Engines studies
How To Make Your Cell Tracker Say "I dunno!"
Data Volume-aware Computation Task Scheduling for Smart Grid Data Analytic Applications
Estimation of individual causal effects in network setup for multiple treatments
Learning the Basis: A Kolmogorov-Arnold Network Approach Embedding Green's Function Priors
EvoEdit: Lifelong Free-Text Knowledge Editing through Latent Perturbation Augmentation and Knowledge-driven Parameter Fusion
METcross: A framework for short-term forecasting of cross-city metro passenger flow
Hybrid MPI-OpenMP Paradigm on SMP Clusters: MPEG-2 Encoder and N-Body Simulation
ExGRG: Explicitly-Generated Relation Graph for Self-Supervised Representation Learning
Edit Distance Embedding using Convolutional Neural Networks
Weakly-supervised positional contrastive learning: application to cirrhosis classification
Notes on higher-dimensional tarai functions
Contextual Refinement of Higher-Order Concurrent Probabilistic Programs
Tackling Hybrid Heterogeneity on Federated Optimization via Gradient Diversity Maximization
A Physically Consistent Stiffness Formulation for Contact-Rich Manipulation
A Comparative Study of Ranking-based Semantics for Abstract Argumentation
On Defending Against Label Flipping Attacks on Malware Detection Systems
Supporting Custom Instructions with the LLVM Compiler for RISC-V Processor
On Manifold Hypothesis: Hypersurface Submanifold Embedding Using Osculating Hyperspheres
OpenCV2X: Modelling of the V2X Cellular Sidelink and Performance Evaluation for Aperiodic Traffic
Perfect Privacy for Discriminator-Based Byzantine-Resilient Federated Learning
Synthetically Enhanced: Unveiling Synthetic Data's Potential in Medical Imaging Research
A new humanlike facial attractiveness predictor with cascaded fine-tuning deep learning model
From PARIS to LE-PARIS: Toward Patent Response Automation with Recommender Systems and Collaborative Large Language Models
IPC-Net: 3D point-cloud segmentation using deep inter-point convolutional layers
Cyberbullying Detection in Hinglish Text Using MURIL and Explainable AI
Membership Inference of Diffusion Models
Drift-aware Collaborative Assistance Mixture of Experts for Heterogeneous Multistream Learning
Causal Best Intervention Identification via Importance Sampling
A Survey to Deep Facial Attribute Analysis
Bi-objective Framework for Sensor Fusion in RGB-D Multi-View Systems: Applications in Calibration
Blind Deconvolution with Additional Autocorrelations via Convex Programs
A Service Architecture for Dataspaces
GaussVideoDreamer: 3D Scene Generation with Video Diffusion and Inconsistency-Aware Gaussian Splatting
Charged particle tracking via edge-classifying interaction networks
GAN-enhanced Conditional Echocardiogram Generation
Learning in Stackelberg Markov Games
Application Checkpoint and Power Study on Large Scale Systems
Mask-Robust Face Verification for Online Learning via YOLOv5 and Residual Networks
X-Streamer: Unified Human World Modeling with Audiovisual Interaction
Artificial Immune Systems (AIS) - A New Paradigm for Heuristic Decision Making
Plasticity-Aware Mixture of Experts for Learning Under QoE Shifts in Adaptive Video Streaming
Exploring Machine Learning Privacy/Utility trade-off from a hyperparameters Lens
Swin UNETR++: Advancing Transformer-Based Dense Dose Prediction Towards Fully Automated Radiation Oncology Treatments
Provably Outlier-resistant Semi-parametric Regression for Transferable Calibration of Low-cost Air-quality Sensors
Linear Model Predictive Control for a planar free-floating platform: A comparison of binary input constraint formulations
QoS-aware User Grouping Strategy for Downlink Multi-Cell NOMA Systems
Coinductive subtyping for abstract compilation of object-oriented languages into Horn formulas
Tweets2Stance: Users stance detection exploiting Zero-Shot Learning Algorithms on Tweets
Wireless Power Transfer in Massive MIMO Aided HetNets with User Association
An experimental study of exhaustive solutions for the Mastermind puzzle
Dynamic Fraud Proof
Directed disjoint paths remains W[1]-hard on acyclic digraphs without large grid minors
Efficient Information Updates in Compute-First Networking via Reinforcement Learning with Joint AoI and VoI
Alternating Optimization for Capacity Region of Gaussian MIMO Broadcast Channels with Per-antenna Power Constraint
Application of the Cartier Operator in Coding Theory
Koopman Meets Limited Bandwidth: Effect of Quantization on Data-Driven Linear Prediction and Control of Nonlinear Systems
Minimum Wasserstein Distance Estimator under Finite Location-scale Mixtures
Segment Anything in Pathology Images with Natural Language
Interpretable machine learning models: a physics-based view
Unsupervised Degradation Learning for Single Image Super-Resolution
Lightweight Autoencoder-Isolation Forest Anomaly Detection for Green IoT Edge Gateways
Unbiased scalable softmax optimization
Boosting Scene Character Recognition by Learning Canonical Forms of Glyphs
A Measure of Synergy in Coalitions
ALMA: Alignment with Minimal Annotation
Computing Resource Allocation in Three-Tier IoT Fog Networks: a Joint Optimization Approach Combining Stackelberg Game and Matching
ResoNet: Robust and Explainable ENSO Forecasts with Hybrid Convolution and Transformer Networks
Mitigating Adversarial Effects of False Data Injection Attacks in Power Grid
A Note on Load Balancing in Many-Server Heavy-Traffic Regime
Feedback-Based Channel Frequency Optimization in Superchannels
LEP-CNN: A Lightweight Edge Device Assisted Privacy-preserving CNN Inference Solution for IoT
Metrics for Graph Comparison: A Practitioner's Guide
Fast Margin Maximization via Dual Acceleration
Abnormal Event Detection in Videos using Generative Adversarial Nets
Composable Building Blocks for Controllable and Transparent Interactive AI Systems
A Review on End-To-End Methods for Brain Tumor Segmentation and Overall Survival Prediction
Multi-Label Image Classification with Contrastive Learning
Analysis of an Asymptotic Preserving Low Mach Number Accurate IMEX-RK Scheme for the Wave Equation System
What can we learn from quantum convolutional neural networks?
A lower bound on web services composition
ULSD: Unified Line Segment Detection across Pinhole, Fisheye, and Spherical Cameras
Neural encoding and interpretation for high-level visual cortices based on fMRI using image caption features
A novel Multi to Single Module for small object detection
An Electrocardiogram Foundation Model Built on over 10 Million Recordings with External Evaluation across Multiple Domains
Course on System Design (structural approach)
Exploring Engagement and Perceived Learning Outcomes in an Immersive Flipped Learning Context
Optical oxygen sensing with artificial intelligence
Efficient Planning in Large-scale Systems Using Hierarchical Finite State Machines
The Second Conversational Intelligence Challenge (ConvAI2)
New Results on Periodic Golay Pairs
Neuroevolution with Perceptron Turing Machines
Crane Scheduling Problem with Energy Saving
A case study on English-Malayalam Machine Translation
Electric Vehicle Aggregation Review: Benefits and Vulnerabilities of Managing a Growing EV Fleet
GOGS: High-Fidelity Geometry and Relighting for Glossy Objects via Gaussian Surfels
Phenotype-preserving metric design for high-content image reconstruction by generative inpainting
A Super-Localized Generalized Finite Element Method
Secret Breach Detection in Source Code with Large Language Models
CraftMesh: High-Fidelity Generative Mesh Manipulation via Poisson Seamless Fusion
A Compressed Sensing Wire-Tap Channel
Dual-path RNN: efficient long sequence modeling for time-domain single-channel speech separation
Retrieving Semantically Similar Decisions under Noisy Institutional Labels: Robust Comparison of Embedding Methods
Commute Networks as a Signature of Urban Socioeconomic Performance: Evaluating Mobility Structures with Deep Learning Models
Models Developed for Spiking Neural Networks
BlockLoc: Secure Localization in the Internet-of-Things using Blockchain
Multi-Scaling Differential Contraction Integral Method for Inverse Scattering Problems with Inhomogeneous Media
Distributed data storage for modern astroparticle physics experiments
UnScenE: Toward Unsupervised Scenario Extraction for Automated Driving Systems from Urban Naturalistic Road Traffic Data
On nonlinear compression costs: when Shannon meets Rényi
A Framework for Successful Corporate Cloud Transformation
Exploring Spatial Flexibility and Phase Design in Fluid Reconfigurable Intelligent Surfaces: A Physical Layer Security Perspective
End-to-end One-shot Human Parsing
Efficiently Crowdsourcing Visual Importance with Punch-Hole Annotation
The incomplete Analytic Hierarchy Process and Bradley-Terry model: (in)consistency and information retrieval
Understanding the One-Pixel Attack: Propagation Maps and Locality Analysis
Predicting Occupancy Trends in Barcelona's Bicycle Service Stations Using Open Data
Constructing and sampling partite, 3-uniform hypergraphs with given degree sequence
Memory-Efficient Solutions to Large-Graph MST Problems
Differentiable All-pole Filters for Time-varying Audio Systems
Complexity of Nondeterministic Graph Parameter Testing
Asymptotic and Numerical Analysis of Multiserver Retrial Queue with Guard Channel for Cellular Networks
Scaling advantage in quantum simulation of geometrically frustrated magnets
A Simple Deterministic Reduction From Gomory-Hu Tree to Maxflow and Expander Decomposition
Empowering Open Data Sharing for Social Good: A Privacy-Aware Approach
A Comprehensive Review on Traffic Datasets and Simulators for Autonomous Vehicles
Crossing Nets: Dual Generative Models with a Shared Latent Space for Hand Pose Estimation
Online Bayesian Goal Inference for Boundedly-Rational Planning Agents
A null infinity layer for wave scattering
Accelerating Polynomial Homotopy Continuation on a Graphics Processing Unit with Double Double and Quad Double Arithmetic
How ornithopters can perch autonomously on a branch
Multiplayer Information Asymmetric Bandits in Metric Spaces
Common neighbours and the local-community-paradigm for topological link prediction in bipartite networks
Iteratively Improving Biomedical Entity Linking and Event Extraction via Hard Expectation-Maximization
Computational frameworks for homogenization and multiscale stability analyses of nonlinear periodic metamaterials
Memento: Fine-tuning LLM Agents without Fine-tuning LLMs
Some New Approaches to MPI Implementations
On Network Proximity in Web Applications
Deep learning-based hyperspectral image reconstruction for quality assessment of agro-product
Trellis-Coded Quantization Based on Maximum-Hamming-Distance Binary Codes
On the Sum Capacity of the Y-Channel
FedFog: Resource-Aware Federated Learning in Edge and Fog Networks
Data Load Balancing In Mobile Ad Hoc Network Using Fuzzy Logic (DBMF)
f-Policy Gradients: A General Framework for Goal Conditioned RL using f-Divergences
Deep Learning modeling of Limit Order Book: a comparative perspective
Causal inference using Bayesian non-parametric quasi-experimental design
Cash or Non-Cash? Unveiling Ideators' Incentive Preferences in Crowdsourcing Contests
O3SLM: Open Weight, Open Data, and Open Vocabulary Sketch-Language Model
On the Relation between Color Image Denoising and Classification
Geolocation of Cultural Heritage using Multi-View Knowledge Graph Embedding
A Meta-Learning Approach to One-Step Active Learning
CI-AVSR: A Cantonese Audio-Visual Speech Dataset for In-car Command Recognition
Dispel: Byzantine SMR with Distributed Pipelining
Measuring Fairness under Unawareness via Quantification
TRACER: Efficient Object Re-Identification in Networked Cameras through Adaptive Query Processing
Improving Graph Neural Networks via Adversarial Robustness Evaluation
A Random Walk Based Algorithm for Structural Test Case Generation
Theoretical scheme on shape-programming of thin hyperelastic plates through differential growth
Spatio-temporally separable non-linear latent factor learning: an application to somatomotor cortex fMRI data
Design and Development of a Robotic Vehicle for Shallow-Water Marine Inspections
Varying k-Lipschitz Constraint for Generative Adversarial Networks
House of Graphs 2.0: a database of interesting graphs and more
A Real-Time, Self-Tuning Moderator Framework for Adversarial Prompt Detection
Why does Stereo Triangulation Not Work in UAV Distance Estimation
Combinatorial Rising Bandit
Sample Efficient Deep Reinforcement Learning for Dialogue Systems with Large Action Spaces
Scattering with Neural Operators
Minimum-Energy All-to-All Multicasting in Multi-hop Wireless Networks
Artificial Intelligence-Enabled Holistic Design of Catalysts Tailored for Semiconducting Carbon Nanotube Growth
Robust Physical Adversarial Attack on Faster R-CNN Object Detector
EasyFL: A Low-code Federated Learning Platform For Dummies