yusuke1997/dblp-id-title huggingface dataset:
Calibrated Multimodal Representation Learning with Missing Modalities
Algorithmic complexity and soficness of shifts in dimension two
Learning Nonlinear Input-Output Maps with Dissipative Quantum Systems
eBaRe: An Efficient Backup and Restore Techniques in Hybrid L-1 Cache for Energy Harvesting Devices
Bridging the Dynamic Perception Gap: Training-Free Draft Chain-of-Thought for Dynamic Multimodal Spatial Reasoning
Top-1 Solution of Multi-Moments in Time Challenge 2019
Core-Set Selection for Data-efficient Land Cover Segmentation
Artificial intelligence in peer review: How can evolutionary computation support journal editors?
Missing-modality Enabled Multi-modal Fusion Architecture for Medical Data
Class Agnostic Instance-level Descriptor for Visual Instance Search
Is Monte Carlo a bad sampling strategy for learning smooth functions in high dimensions?
Department Management System for Departments of Sri Lankan Universities
Compressed Video Quality Assessment for Super-Resolution: a Benchmark and a Quality Metric
k-Step Relative Inductive Generalization
Discontinuous Galerkin discretization in time of systems of second-order nonlinear hyperbolic equations
A GA-based feature selection of the EEG signals by classification evaluation: Application in BCI systems
ALMA: Automata Learner using Modulo 2 Multiplicity Automata
Linear exact repair schemes for free MDS and Reed-Solomon codes over Galois rings
Optimizing the diffusion coefficient of overdamped Langevin dynamics
Impact of Vibrotactile Triggers on Mental Well-Being through ASMR Experience in VR
Low-Complexity PIR Using Subfield Subcodes
Graph Reinforcement Learning in Power Grids: A Survey
How Do We Find Early Adopters Who Will Guide a Resource Constrained Network Towards a Desired Distribution of Behaviors?
Deep Reinforcement Learning for Optimal Power Flow with Renewables Using Spatial-Temporal Graph Information
Federated Out-of-Distribution Generalization: A Causal Augmentation View
Agentic Bug Reproduction for Effective Automated Program Repair at Google
TwiSent: A Multistage System for Analyzing Sentiment in Twitter
Using CMA-ES for tuning coupled PID controllers within models of combustion engines
Loop-box: Multi-Agent Direct SLAM Triggered by Single Loop Closure for Large-Scale Mapping
Two new algorithms for solving Müller games and their applications
FPGA Implementation of a Scalable and Run-Time Adaptable Multi-Standard Packet Detector
Benchmarking Quality-Dependent and Cost-Sensitive Score-Level Multimodal Biometric Fusion Algorithms
The Weight Distribution of Quasi-quadratic Residue Codes
DiffDub: Person-generic Visual Dubbing Using Inpainting Renderer with Diffusion Auto-encoder
EvoSeed: Unveiling the Threat on Deep Neural Networks with Real-World Illusions
TReFT: Taming Rectified Flow Models For One-Step Image Translation
DriveAgent: Multi-Agent Structured Reasoning with LLM and Multimodal Sensor Fusion for Autonomous Driving
Physics-informed mixture of experts network for interpretable battery degradation trajectory computation amid second-life complexities
Modeling and Simulation of Robotic Finger Powered by Nylon Artificial Muscles- Equations with Simulink model
An Overview and Experimental Study of Learning-based Optimization Algorithms for Vehicle Routing Problem
Techniques for Quantum-Computing-Aided Algorithmic Composition: Experiments in Rhythm, Timbre, Harmony, and Space
Blockchain and Stablecoin Integration for Crowdfunding: A framework for enhanced efficiency, security, and liquidity
Consistency of Neural Networks with Regularization
Losing dimensions: Geometric memorization in generative diffusion
Grounded learning for compositional vector semantics
Strong NP-Hardness Result for Regularized $L_q$-Minimization Problems with Concave Penalty Functions
Abstract Reasoning via Logic-guided Generation
Classification under strategic adversary manipulation using pessimistic bilevel optimisation
Fractional Order Distributed Optimization
Information Performance Tradeoffs in Control
Asymptotically Tight Bounds on the Time Complexity of Broadcast and its Variants in Dynamic Networks
Specialized Interior Point Algorithm for Stable Nonlinear System Identification
Triggercast: Enabling Wireless Collisions Constructive
Robustar: Interactive Toolbox Supporting Precise Data Annotation for Robust Vision Learning
Category-aware EEG image generation based on wavelet transform and contrast semantic loss
Finding All Global Minimum Cuts In Practice
Variational data assimilation for the wave equation in heterogeneous media: Numerical investigation of stability
Competitive Use of Multiple Antennas
Data-Driven Discovery of Coarse-Grained Equations
Positivity-preserving third order DG schemes for Poisson--Nernst--Planck equations
The Theoretical Status of Ontologies in Natural Language Processing
Convergence and efficiency proof of quantum imaginary time evolution for bounded order systems
A Complete Characterization of Complete Intersection-Type Theories
Analytics of Business Time Series Using Machine Learning and Bayesian Inference
Commonsense mining as knowledge base completion? A study on the impact of novelty
Prime Convolutional Model: Breaking the Ground for Theoretical Explainability
Real-time gravitational-wave science with neural posterior estimation
Online Linear Quadratic Tracking with Regret Guarantees
Distributed Learning Systems with First-order Methods
Some extensions of the φ-divergence moment closures for the radiative transfer equation
Automated identification and quantification of myocardial inflammatory infiltration in digital histological images to diagnose myocarditis
Controlled abstention neural networks for identifying skillful predictions for classification problems
Quantum Privacy-Preserving Data Analytics
An Ontology-Based, Fully Probabilistic, Scalable Method for Human Activity Recognition
WHYPE: A Scale-Out Architecture with Wireless Over-the-Air Majority for Scalable In-memory Hyperdimensional Computing
An Advanced Two-Stage Model with High Sensitivity and Generalizability for Prediction of Hip Fracture Risk Using Multiple Datasets
Training Enhancement of Deep Learning Models for Massive MIMO CSI Feedback with Small Datasets
Quantifying the Deign Quality of Object Oriented System The metric based rules and heuristic
On the Algorithmic Nature of the World
Lets Play Music: Audio-driven Performance Video Generation
A simple proof of the coincidence of observational and labeled equivalence of processes in applied pi-calculus
Personal Mobile Malware Guard PMMG: a mobile malware detection technique based on user's preferences
On hybrid modular recommendation systems for video streaming
Constructing Polar Codes Using Iterative Bit-Channel Upgrading
Advanced Lane Detection Model for the Virtual Development of Highly Automated Functions
Ablation Study of How Run Time Assurance Impacts the Training and Performance of Reinforcement Learning Agents
The Diversity-Multiplexing Tradeoff of Delay-Constrained Sequential Streaming
Baby Bear: Seeking a Just Right Rating Scale for Scalar Annotations
Learning of networked spreading models from noisy and incomplete data
Generalized Quantifiers on Dependent Types: A System for Anaphora
Textured 3D Regenerative Morphing with 3D Diffusion Prior
Finding Stable Groups of Cross-Correlated Features in Multi-View data
A Comprehensive Survey of Synthetic Tabular Data Generation
Improving Spectral Clustering Using Spectrum-Preserving Node Reduction
AutoGAN: Robust Classifier Against Adversarial Attacks
Naturally Private Recommendations with Determinantal Point Processes
Toward General and Robust LLM-enhanced Text-attributed Graph Learning
Sentiment Analysis on IMDB Movie Comments and Twitter Data by Machine Learning and Vector Space Techniques
Sparse Approximation of the Subdivision-Rips Bifiltration for Doubling Metrics
Quantum Entanglement and Cryptography for Automation and Control of Dynamic Systems
Detecting Multimedia Generated by Large AI Models: A Survey
Explicit continuation methods and preconditioning techniques for unconstrained optimization problems
Robust multi-agent coordination via evolutionary generation of auxiliary adversarial attackers
Curve-Aware Gaussian Splatting for 3D Parametric Curve Reconstruction
Image Retrieval using Histogram Factorization and Contextual Similarity Learning
Can apparent bystanders distinctively shape an outcome? Global south countries and global catastrophic risk-focused governance of artificial intelligence
Delta-WKV: A Novel Meta-in-Context Learner for MRI Super-Resolution
RF-Net: An End-to-End Image Matching Network based on Receptive Field
Capacity-achieving Polar-based LDGM Codes
Towards Automated Swimming Analytics Using Deep Neural Networks
LiFi: Learn to Incentivize Federated Learning in Automotive Edge Computing
DyVal: Graph-informed Dynamic Evaluation of Large Language Models
Bots, Disinformation, and the First Trump Impeachment
How to Train Your YouTube Recommender
Joint Learning-based Causal Relation Extraction from Biomedical Literature
MaD: Mapping and debugging framework for implementing deep neural network onto a neuromorphic chip with crossbar array of synapses
Metric Flows with Neural Networks
Irrational-window-filter projection method and application to quasiperiodic Schr\"odinger eigenproblems
SFTP : A Secure and Fault-Tolerant Paradigm against Blackhole Attack in MANET
Complementarity in Human-AI Collaboration: Concept, Sources, and Evidence
Optimizing Password Cracking for Digital Investigations
Thread-modular Analysis of Release-Acquire Concurrency
Analysis of Supply Chain Network Using RFID Technique with Hybrid Algorithm
Back to the Source: Diffusion-Driven Test-Time Adaptation
Spectral Clustering Methods for Multiplex Networks
FISC: Federated Domain Generalization via Interpolative Style Transfer and Contrastive Learning
Large Scalable Cross-Domain Graph Neural Networks for Personalized Notification at LinkedIn
MMAP: A Multi-Magnification and Prototype-Aware Architecture for Predicting Spatial Gene Expression
The Production of Probabilistic Entropy in Structure/Action Contingency Relations
Text-Routed Sparse Mixture-of-Experts Model with Explanation and Temporal Alignment for Multi-Modal Sentiment Analysis
Local versions of sum-of-norms clustering
Parameter Tuning in the Radial Kernel-Based Partition of Unity Method by Bayesian Optimization
StableTracker: Learning to Stably Track Target via Differentiable Simulation
Exploring Spatio-Temporal and Cross-Type Correlations for Crime Prediction
Good and safe uses of AI Oracles
Performance analysis of facial recognition: A critical review through glass factor
Augmenting Automation: Intent-Based User Instruction Classification with Machine Learning
Joint Ex-Post Location Calibration and Radio Map Construction under Biased Positioning Errors
Polynomial model inversion control: numerical tests and applications
Improvement on Extrapolation of Species Abundance Distribution Across Scales from Moments Across Scales
Deep Learning in the Automotive Industry: Recent Advances and Application Examples
Characterization of Multi-Channel Denial-of-Service and Full-Scale Denial-of-Service
TSRNet: Scalable 3D Surface Reconstruction Network for Point Clouds using Tangent Convolution
SenseFlow: Scaling Distribution Matching for Flow-based Text-to-Image Distillation
Airway measurement by refinement of synthetic images improves mortality prediction in idiopathic pulmonary fibrosis
Perceptual Quality Assessment for Fine-Grained Compressed Images
Using MOEAs To Outperform Stock Benchmarks In The Presence of Typical Investment Constraints
Translating Hausdorff is Hard: Fine-Grained Lower Bounds for Hausdorff Distance Under Translation
TRAM: Global Trajectory and Motion of 3D Humans from in-the-wild Videos
Finding planted cliques using Markov chain Monte Carlo
A Generalised Quantifier Theory of Natural Language in Categorical Compositional Distributional Semantics with Bialgebras
Structured Object Language Modeling (SoLM): Native Structured Objects Generation Conforming to Complex Schemas with Self-Supervised Denoising
Edgewise outliers of network indexed signals
The TCP-modified Engset Model Revisited
dpmm: Differentially Private Marginal Models, a Library for Synthetic Tabular Data Generation
Theoretical opportunities for rural innovation and entrepreneurship research
Bayesian probabilistic exploration of Bitcoin informational quanta and interactions under the GITT-VT paradigm
From Research to Reality: Feasibility of Gradient Inversion Attacks in Federated Learning
S2VC: An SDN-based Framework for Maximizing QoE in SVC-Based HTTP Adaptive Streaming
Neural calibration of hidden inhomogeneous Markov chains - Information decompression in life insurance
Conceptualizing predictive conceptual model for unemployment rates in the implementation of Industry 4.0: Exploring machine learning techniques
Why Not Mitigate Vulnerabilities in Helm Charts?
Sensorless Physical Human-robot Interaction Using Deep-Learning
From Adaptive Kernel Density Estimation to Sparse Mixture Models
TAB-DRW: A DFT-based Robust Watermark for Generative Tabular Data
Epcast: Controlled Dissemination in Human-based Wireless Networks by means of Epidemic Spreading Models
Koopman Invariants as Drivers of Emergent Time-Series Clustering in Joint-Embedding Predictive Architectures
Hybridisable discontinuous Galerkin formulation of compressible flows
Geometry-Informed Neural Operator Transformer
The LKPY Package for Recommender Systems Experiments: Next-Generation Tools and Lessons Learned from the LensKit Project
A Novel DDoS Attack Detection Method Using Optimized Generalized Multiple Kernel Learning
scI2CL: Effectively Integrating Single-cell Multi-omics by Intra- and Inter-omics Contrastive Learning
Robust Linear Precoder Design for Multi-cell Downlink Transmission
Confederated Machine Learning on Horizontally and Vertically Separated Medical Data for Large-Scale Health System Intelligence
Thompson Sampling for Pursuit-Evasion Problems
An Agent based Approach towards Metadata Extraction, Modelling and Information Retrieval over the Web
Analysis and Augmented Spatial Processing for Uplink OFDMA MU-MIMO Receiver under Transceiver I/Q Imbalance and External Interference
Temporal Sparse Adversarial Attack on Gait Recognition
Glottal source estimation robustness: A comparison of sensitivity of voice source estimation techniques
Modeling Game Avatar Synergy and Opposition through Embedding in Multiplayer Online Battle Arena Games
Aiming Low Is Harder - Inductive Proof Rules for Lower Bounds on Weakest Preexpectations in Probabilistic Program Verification
A divergence free C 0 -RIPG stream function formulation of the incompressible Stokes system with variable viscosity
Statistical Modelling of Citation Exchange Among Statistics Journals
Unsupervised Decomposition Networks for Bias Field Correction in MR Image
Modeling Attractiveness and Multiple Clicks in Sponsored Search Results
DynSGX: A Privacy Preserving Toolset for Dynamically Loading Functions into Intel(R) SGX Enclaves
Upright adjustment with graph convolutional networks
Detailed Derivations of Small-Variance Asymptotics for some Hierarchical Bayesian Nonparametric Models
Jasmine: Harnessing Diffusion Prior for Self-supervised Depth Estimation
Revisiting Weight Averaging for Model Merging
Block Modeling and Detectability for Community Structure in Node Attributed Networks
Verification of Sometimes Termination of Lazy-Bounded Declarative Distributed Systems
Functional Classification of Spiking Signal Data Using Artificial Intelligence Techniques: A Review
Exploring Adversarial Robustness of LiDAR-Camera Fusion Model in Autonomous Driving
Feature selection revisited in the single-cell era
PVNet: Pixel-wise Voting Network for 6DoF Pose Estimation
Convergence of a finite volume scheme and dissipative measure-valued-strong stability for a hyperbolic-parabolic cross-diffusion system
An Air-Gapped 2-Factor Authentication for Smart-Contract Wallets
Learnable Wireless Digital Twins: Reconstructing Electromagnetic Field with Neural Representations
Almost Optimal Distance Oracles for Planar Graphs
Hidformer: Transformer-Style Neural Network in Stock Price Forecasting
Contingency-Constrained Unit Commitment with Post-Contingency Corrective Recourse
Call-by-value Termination in the Untyped Lambda-calculus
PIAT: Physics Informed Adversarial Training for Solving Partial Differential Equations
A Framework for Generalizing Graph-based Representation Learning Methods
Quickest Detection with Discretely Controlled Observations
Translation Insensitivity for Deep Convolutional Gaussian Processes
(Theta, triangle)-free and (even hole, K 4 )-free graphs. Part 2 : bounds on treewidth
UniFlow: Towards Zero-Shot LiDAR Scene Flow for Autonomous Vehicles via Cross-Domain Generalization
Testing MCMC code
Optimal Design of Satellite Constellation Configurations with Mixed Integer Linear Programming
Prompt Performance Prediction for Generative IR
Modelling of Variable-Speed Refrigeration for Fast-Frequency Control in Low-InertiaSystems
Structured Information Matters: Incorporating Abstract Meaning Representation into LLMs for Improved Open-Domain Dialogue Evaluation
A Note on Probability Quantification for Protective System Efficacy Analysis: Stochastic Dynamics, Information Flow, and Initiating Event Arrival Times
Unified Multi-Criteria Chinese Word Segmentation with BERT
Automated Software Vulnerability Assessment with Concept Drift
Pareto Actor-Critic for Communication and Computation Co-Optimization in Non-Cooperative Federated Learning Services
Instance Segmentation and Object Detection with Bounding Shape Masks
Understanding deep learning via decision boundary
Machine Learning for Generalizable Prediction of Flood Susceptibility
TSIA: A Dataflow Model
Enabling Self-Powered Autonomous Wireless Sensors with New-Generation I2C-RFID Chips
Pebble transducers with unary output
PPLS: A Privacy-Preserving Location-Sharing Scheme in Vehicular Social Networks
Intelligent wayfinding vehicle design based on visual recognition
Report of the Third Global Experimentation for Future Internet (GEFI 2018) Workshop
Advanced Audio Aid for Blind People
Stiffness modelling of parallelogram-based parallel manipulators
A leadless power transfer and wireless telemetry solutions for an endovascular electrocorticography
Tangent Codes
Testing and validation of innovative eXtended Reality technologies for astronaut training in a partial-gravity parabolic flight campaign
Multimodal Machine Learning for Automated Assessment of Attention-Related Processes during Learning
Efficient GPU Implementation for Single Block Orthogonal Dictionary Learning
A Simple DropConnect Approach to Transfer-based Targeted Attack
Nonlinear Reduced Order Modelling of Soil Structure Interaction Effects via LSTM and Autoencoder Neural Networks
Index t-SNE: Tracking Dynamics of High-Dimensional Datasets with Coherent Embeddings
Under-approximation of the Greatest Fixpoint in Real-Time System Verification
Self-Tuning Deep Reinforcement Learning
PRISM: Privacy-preserving Inter-Site MRI Harmonization via Disentangled Representation Learning
Bayesian Interpolation with Deep Linear Networks
Learning equivariant tensor functions with applications to sparse vector recovery
Parallel mathematical models of dynamic objects
Mathematical model of information bubbles on networks
Hire Your Anthropologist! Rethinking Culture Benchmarks Through an Anthropological Lens
Multi-scale Spatial-temporal Interaction Network for Video Anomaly Detection
Markovian Analysis of Coordination Strategies in Tandem Polling Queues with Setups
A Multiple Decoder CNN for Inverse Consistent 3D Image Registration
Pixel State Value Network for Combined Prediction and Planning in Interactive Environments
Enhancing the Discriminative Feature Learning for Visible-Thermal Cross-Modality Person Re-Identification
Memoryless Control Design for Persistent Surveillance under Safety Constraints
Enhancing Rural Agricultural Value Chains through Electric Mobility Services in Ethiopia
Manipulating Trajectory Prediction with Backdoors
Overcoming Vocabulary Constraints with Pixel-level Fallback
MFF-FTNet: Multi-scale Feature Fusion across Frequency and Temporal Domains for Time Series Forecasting
Transition-Based Dependency Parsing With Pluggable Classifiers
MOON Embedding: Multimodal Representation Learning for E-commerce Search Advertising
More Tight Bounds for Active Self-Assembly Using an Insertion Primitive
Savaal: Scalable Concept-Driven Question Generation to Enhance Human Learning
Independent signaling achieves the capacity region of the Gaussian interference channel with common information to within one bit
Unsupervised Sim-to-Real Adaptation of Soft Robot Proprioception using a Dual Cross-modal Autoencoder
Kangaroo: A Private and Amortized Inference Framework over WAN for Large-Scale Decision Tree Evaluation
Questionable practices in machine learning
PPR10K: A Large-Scale Portrait Photo Retouching Dataset with Human-Region Mask and Group-Level Consistency
The Availability and Security Implications of Glue in the Domain Name System
Federated Over-the-Air Subspace Learning from Incomplete Data
A modified adaptive improved mapped WENO method
Noise-corrected GRPO: From Noisy Rewards to Unbiased Gradients
Overcoming Weak Visual-Textual Alignment for Video Moment Retrieval
Crypto analysis of the key distribution scheme using noise-free resistances
On the Continuity of Schur-Horn Mapping
Interpretation as Linear Transformation: A Cognitive-Geometric Model of Belief and Meaning
Personalized Image Descriptions from Attention Sequences
Radially Distorted Homographies, Revisited
Structure-preserving reduced order modelling of thermal shallow water equation
Fast quantum subroutines for the simplex method
Differentially Private Linear Regression and Synthetic Data Generation with Statistical Guarantees
On σ-LCD codes
A general technique for approximating high-dimensional empirical kernel matrices
Attention Surgery: An Efficient Recipe to Linearize Your Video Diffusion Transformer
Fine-Tuning Qwen 2.5 3B for Realistic Movie Dialogue Generation
An Equivalent Graph Reconstruction Model and its Application in Recommendation Prediction
One Configuration to Rule Them All? Towards Hyperparameter Transfer in Topic Models using Multi-Objective Bayesian Optimization
Variational Bayes Decomposition for Inverse Estimation with Superimposed Multispectral Intensity
Disease phenotyping using deep learning: A diabetes case study
A Large Scale Empirical Study of the Impact of Spaghetti Code and Blob Anti-patterns on Program Comprehension
Understanding the input-output relationship of neural networks in the time series forecasting radon levels at Canfranc Underground Laboratory
Unsupervised Representations Predict Popularity of Peer-Shared Artifacts in an Online Learning Environment
Unraveling Media Perspectives: A Comprehensive Methodology Combining Large Language Models, Topic Modeling, Sentiment Analysis, and Ontology Learning to Analyse Media Bias
Automatically Estimating the Effort Required to Repay Self-Admitted Technical Debt
Finite Scalar Quantization Enables Redundant and Transmission-Robust Neural Audio Compression at Low Bit-rates
SecureBoost+ : A High Performance Gradient Boosting Tree Framework for Large Scale Vertical Federated Learning
Optimizing Energy Management of Smart Grid using Reinforcement Learning aided by Surrogate models built using Physics-informed Neural Networks
Semantic Structure-Mapping in LLM and Human Analogical Reasoning
A Systematic Study of Time Limit Exceeded Errors in Online Programming Assignments
Frequency Decoupling for Motion Magnification via Multi-Level Isomorphic Architecture
Cyber-Resilient Fault Diagnosis Methodology in Inverter-Based Resource-Dominated Microgrids with Single-Point Measurement
SimSC: A Simple Framework for Semantic Correspondence with Temperature Learning
Minimal Dependency Translation: a Framework for Computer-Assisted Translation for Under-Resourced Languages
Linearity is Strictly More Powerful than Contiguity for Encoding Graphs
Insider Detection using Deep Autoencoder and Variational Autoencoder Neural Networks
Eleven Simple Algorithms to Compute Fibonacci Numbers
PARFormer: Transformer-based Multi-Task Network for Pedestrian Attribute Recognition
AI Safety for Everyone