yusuke1997/dblp-id-title huggingface dataset:
Additive combinatorics: with a view towards computer science and cryptography - An exposition
Autonomous Driving with Deep Reinforcement Learning in CARLA Simulation
Wireless Fidelity Real Time Security System
Driven tabu search: a quantum inherent optimisation
Statistical shape analysis of brain arterial networks (BAN)
RACE-Align: Retrieval-Augmented and Chain-of-Thought Enhanced Preference Alignment for Large Language Models
MotionVideoGAN: A Novel Video Generator Based on the Motion Space Learned from Image Pairs
Discovering Efficient Periodic Behaviours in Mechanical Systems via Neural Approximators
WSAT(cc) - a fast local-search ASP solver
Simulating the Dynamic Behavior of Shear Thickening Fluids
Identification of Craving Maps among Marijuana Users via the Analysis of Functional Brain Networks with High-Order Attention Graph Neural Networks
Table-LLM-Specialist: Language Model Specialists for Tables using Iterative Generator-Validator Fine-tuning
Evading Data Contamination Detection for Language Models is (too) Easy
Artificial Intelligence Assisted Infrastructure Assessment Using Mixed Reality Systems
GrOMP: Grasped Object Manifold Projection for Multimodal Imitation Learning of Manipulation
Algorithms in Multi-Agent Systems: A Holistic Perspective from Reinforcement Learning and Game Theory
Residual-Sparse Fuzzy C-Means Clustering Incorporating Morphological Reconstruction and Wavelet frames
Optimal control of end-user energy storage
Improving After-sales Service: Deep Reinforcement Learning for Dynamic Time Slot Assignment with Commitments and Customer Preferences
High dimensional online calibration in polynomial time
Enhancing Self-Driving Segmentation in Adverse Weather Conditions: A Dual Uncertainty-Aware Training Approach to SAM Optimization
Lightweight Network Architecture for Real-Time Action Recognition
Boosting Digital Safeguards: Blending Cryptography and Steganography
Optimizing Adaptive Video Streaming: A Fuzzy Logic Approach to Resource Allocation
War: Detecting adversarial examples by pre-processing input data
On the complexity of implementing Trotter steps
New Adaptive Low-Dissipation Central-Upwind Schemes
Benchmark Underestimates the Readiness of Multi-lingual Dialogue Agents
Convergence of a moving window method for the Schrödinger equation with potential on R d
Impact of Rushing attack on Multicast in Mobile Ad Hoc Network
Constructing Mutually Unbiased Bases from Quantum Latin Squares
Molecular graph generation with Graph Neural Networks
Discovering Block Structure in Networks
Fractional Order Fuzzy Control of Nuclear Reactor Power with Thermal-Hydraulic Effects in the Presence of Random Network Induced Delay and Sensor Noise having Long Range Dependence
Soft Segmented Randomization: Enhancing Domain Generalization in SAR-ATR for Synthetic-to-Measured
Bob's Confetti: Phonetic Memorization Attacks in Music and Video Generation
An Autoencoder-based Snow Drought Index
Ergodicity, Decisions, and Partial Information
Cos R-CNN for Online Few-shot Object Detection
Physics-informed deep generative models
Incremental Online Learning of Randomized Neural Network with Forward Regularization
Interaction Methods for Smart Glasses
Spatially-weighted Anomaly Detection with Regression Model
IRQ Coloring and the Subtle Art of Mitigating Interrupt-generated Interference
Combinatorial rigidity and independence of generalized pinned subspace-incidence constraint systems
Exploring the Potentials and Challenges of Using Large Language Models for the Analysis of Transcriptional Regulation of Long Non-coding RNAs
On Approximating the Dynamic Response of Synchronous Generators via Operator Learning: A Step Towards Building Deep Operator-based Power Grid Simulators
Channel Estimation for Hybrid Architecture Based Wideband Millimeter Wave Systems
An Empirical Study of Large Language Models for Type and Call Graph Analysis
Explanation Hacking: The perils of algorithmic recourse
Exact Graph Matching in Correlated Gaussian-Attributed Erdös-Rényi Model
Ask1: Development and Reinforcement Learning-Based Control of a Custom Quadruped Robot
Benchmarking Deep Learning Models for Laryngeal Cancer Staging Using the LaryngealCT Dataset
Towards best practice in explaining neural network decisions with LRP
Modelling Sentiment Analysis: LLMs and data augmentation techniques
Aerial-NeRF: Adaptive Spatial Partitioning and Sampling for Large-Scale Aerial Rendering
A two-step system for sound event localization and detection
A Deep Moving-camera Background Model
High Degree Vertices, Eigenvalues and Diameter of Random Apollonian Networks
Online non-parametric change-point detection for heterogeneous data streams observed over graph nodes
SASA: Semantics-Augmented Set Abstraction for Point-based 3D Object Detection
UniEmoX: Cross-modal Semantic-Guided Large-Scale Pretraining for Universal Scene Emotion Perception
Gradual Parametricity, Revisited
Stabilizing PDE-ML Coupled System
PC2-PU: Patch Correlation and Position Correction for Effective Point Cloud Upsampling
Unveiling the frontiers of deep learning: innovations shaping diverse domains
Modular Action Language ALM
A Novel VSWR-Protected and Controllable CMOS Class E Power Amplifier for Bluetooth Applications
A Disciplinary View of Changes in Publications' Reference Lists After Peer Review
Blind Judgement: Agent-Based Supreme Court Modelling With GPT
The Bures Metric for Taming Mode Collapse in Generative Adversarial Networks
Enhancing Semantic Segmentation with Continual Self-Supervised Pre-training
MelanomaNet: Explainable Deep Learning for Skin Lesion Classification
Inferring global network properties from egocentric data with applications to epidemics
IoT Cloud Platforms: an Application Development Perspective
Graph Neural Processes: Towards Bayesian Graph Neural Networks
"Unsex me here": Revisiting Sexism Detection Using Psychological Scales and Adversarial Samples
A Preliminary Approach for Learning Relational Policies for the Management of Critically Ill Children
On the stability of Lipschitz continuous control problems and its application to reinforcement learning
Crowd Counting via Perspective-Guided Fractional-Dilation Convolution
Trust-Based Winnow Linear Multiplicative Classification For Secure Multipath Routing In Manet
Spa-VLM: Stealthy Poisoning Attacks on RAG-based VLM
Fast and Robust Sparsity Learning over Networks: A Decentralized Surrogate Median Regression Approach
A Novel Fast 3D Single Image Super-Resolution Algorithm
Network Slimming by Slimmable Networks: Towards One-Shot Architecture Search for Channel Numbers
Self-Ensemble Post Learning for Noisy Domain Generalization
On Model Adaptation for Sensorimotor Control of Robots
Graph-wise Common Latent Factor Extraction for Unsupervised Graph Representation Learning
Penalizing Proposals using Classifiers for Semi-Supervised Object Detection
Matrix equation techniques for certain evolutionary partial differential equations
ExIQA: Explainable Image Quality Assessment Using Distortion Attributes
Learning Aggregations of Binary Activated Neural Networks with Probabilities over Representations
Polynomiogram: An Integrated Framework for Root Visualization and Generative Art
Convergence Analysis of a Stochastic Projection-free Algorithm
A CNN-LSTM Architecture for Detection of Intracranial Hemorrhage on CT scans
ZegOT: Zero-shot Segmentation Through Optimal Transport of Text Prompts
Roget's Thesaurus: a Lexical Resource to Treasure
Financial Market Trend Forecasting and Performance Analysis Using LSTM
Error estimates for harmonic and biharmonic interpolation splines with annular geometry
Differentiable Linear Bandit Algorithm
Intent Detection and Slot Filling for Home Assistants: Dataset and Analysis for Bangla and Sylheti
Transformer-Based Bearing Fault Detection using Temporal Decomposition Attention Mechanism
Iteration and Co-design of a Physical Web Application for Outdoor Activities with Older Adults
Who is a Better Matchmaker? Human vs. Algorithmic Judge Assignment in a High-Stakes Startup Competition
Distributed Learning and its Application for Time-Series Prediction
Intelligent Painter: Picture Composition With Resampling Diffusion Model
Towards real-time and energy efficient Siamese tracking - a hardware-software approach
Prediction of good reaction coordinates and future evolution of MD trajectories using Regularized Sparse Autoencoders: A novel deep learning approach
TIMESAFE: Timing Interruption Monitoring and Security Assessment for Fronthaul Environments
Perspectives and Ethics of the Autonomous Artificial Thinking Systems
Simeon - Secure Federated Machine Learning Through Iterative Filtering
SA-GCS: Semantic-Aware Gaussian Curriculum Scheduling for UAV Vision-Language Navigation
The QQUIC Transport Protocol: Quantum assisted UDP Internet Connections
The dynamically changing publication universe as a reference point in national impact evaluation: A counterfactual case study on the Chinese publication growth
TorchMD-NET: Equivariant Transformers for Neural Network based Molecular Potentials
MulSMo: Multimodal Stylized Motion Generation by Bidirectional Control Flow
Multi-task learning from fixed-wing UAV images for 2D/3D city modeling
Techniques to Improve Q&A Accuracy with Transformer-based models on Large Complex Documents
Dyn-O: Building Structured World Models with Object-Centric Representations
LibProf: A Python Profiler for Improving Cold Start Performance in Serverless Applications
Federated Unlearning with Knowledge Distillation
Zap Meets Momentum: Stochastic Approximation Algorithms with Optimal Convergence Rate
An Exact Algorithm for Minimum Weight Vertex Cover Problem in Large Graphs
CLAWS: Contrastive Learning with hard Attention and Weak Supervision
Non-Determinism and the Lawlessness of ML Code
Measurement-based Uncomputation Applied to Controlled Modular Multiplication
Early Multimodal Prediction of Cross-Lingual Meme Virality on Reddit: A Time-Window Analysis
From Expectation to Habit: Why Do Software Practitioners Adopt Fairness Toolkits?
Learning task-specific features for 3D pointcloud graph creation
Deep Learning from Noisy Image Labels with Quality Embedding
Data Sourcing Random Access using Semantic Queries for Massive IoT Scenarios
Generate Complete Logging Statements with an Efficient End-to-End Approach
A Simple Methodology for Model-Driven Business Innovation and Low Code Implementation
Inter-Cell Antenna Calibration for Coherent Joint Transmission in TDD System
Efficient Distributed Training through Gradient Compression with Sparsification and Quantization Techniques
Policy-Based Bayesian Experimental Design for Non-Differentiable Implicit Models
An $\tilde{O}(\frac{1}{\sqrt{T}})$-error online algorithm for retrieving heavily perturbated statistical databases in the low-dimensional querying mode
Block Factor-width-two Matrices and Their Applications to Semidefinite and Sum-of-squares Optimization
Deep Neural Network Accelerated Implicit Filtering
Fast Multi-Scale Detection of Relevant Communities
Abstraction boundaries and spec driven development in pure mathematics
Scaling Scientometrics: Dimensions on Google BigQuery as an infrastructure for large-scale analysis
A Tutorial of the Mobile Multimedia Wireless Sensor Network OMNeT++ Framework
AI Should Sense Better, Not Just Scale Bigger: Adaptive Sensing as a Paradigm Shift
Musical Excellence of Mridangam: an introductory review
Temporal Variabilities Limit Convergence Rates in Gradient-Based Online Optimization
Flying through Moving Gates without Full State Estimation
Convection in Oblate Solar-Type Stars
Secure Transmission with Large Numbers of Antennas and Finite Alphabet Inputs
Digital Twin-Empowered Task Assignment in Aerial MEC Network: A Resource Coalition Cooperation Approach with Generative Model
Yes, IoU loss is submodular - as a function of the mispredictions
Query Expansion Using Term Distribution and Term Association
QuadricsReg: Large-Scale Point Cloud Registration using Quadric Primitives
Assessing the techno-economic benefits of LEMs for different grid topologies and prosumer shares
Insights into a radiology-specialised multimodal large language model with sparse autoencoders
An Approach and Benchmark to Detect Behavioral Changes of Commits in Continuous Integration
DiCOVA-Net: Diagnosing COVID-19 using Acoustics based on Deep Residual Network for the DiCOVA Challenge 2021
Isomorphism problems for tensors, groups, and cubic forms: completeness and reductions
The Impact of Model Scaling on Seen and Unseen Language Performance
Position Paper on Simulating Privacy Dynamics in Recommender Systems
Abnormality Detection in Musculoskeletal Radiographs with Convolutional Neural Networks(Ensembles) and Performance Optimization
From Obstacle Avoidance To Motion Learning Using Local Rotation of Dynamical Systems
Technique detection software for Sparse Matrices
The Peculiarities of Nonstationary Formation of Inhomogeneous Structures of Charged Particles in the Electrodiffusion Processes
Background Clustering Pre-training for Few-shot Segmentation
Booster: a Benchmark for Depth from Images of Specular and Transparent Surfaces
Machine learning algorithms to predict stroke in China based on causal inference of time series analysis
An overview of differentiable particle filters for data-adaptive sequential Bayesian inference
Intrinsically Typed Sessions With Callbacks
Graph Reasoning Networks
Integrated ERP System for Improving the Functional efficiency of the organization by Customized Architecture
Investigating the Edge of Stability Phenomenon in Reinforcement Learning
Acoustic Identification of Ae. aegypti Mosquitoes using Smartphone Apps and Residual Convolutional Neural Networks
A~posteriori error analysis for optimization with PDE constraints
The Merkle Mountain Belt
Next-generation reservoir computing validated by classification task
A fault attack on the Niederreiter cryptosystem using binary irreducible Goppa codes
Scalable UAV Multi-Hop Networking via Multi-Agent Reinforcement Learning with Large Language Models
Racism in the Machine: Visualization Ethics in Digital Humanities Projects
MAPS: Energy-Reliability Tradeoff Management in Autonomous Vehicles Through LLMs Penetrated Science
Attention and Self-Attention in Random Forests
A Note on the Entropy/Influence Conjecture
Deep Learning Based Resource Allocation for Full-duplex Device-to-Device Communication
GeoSpark: Sparking up Point Cloud Segmentation with Geometry Clue
MLaGA: Multimodal Large Language and Graph Assistant
Challenges in Comparing Code Maintainability across Different Programming Languages
TARVOS - an Event-Based Simulator for Performance Analysis, Supporting MPLS, RSVP-TE, and Fast Recovery
Protecting Individual Interests across Clusters: Spectral Clustering with Guarantees
Continuous Output Personality Detection Models via Mixed Strategy Training
Transparent Migration of Multi-Threaded Applications on a Java Based Grid
A Symbolic Summation Approach to Feynman Integral Calculus
On the Effect of Pre-Processing and Model Complexity for Plastic Analysis Using Short-Wave-Infrared Hyper-Spectral Imaging
DeepFunction: Deep Metric Learning-based Imbalanced Classification for Diagnosing Threaded Pipe Connection Defects using Functional Data
Active Learning with Convolutional Gaussian Neural Processes for Environmental Sensor Placement
Multivariate Vandermonde matrices with separated nodes on the unit circle are stable
How Quantum Information can improve Social Welfare
Power Efficiency for Device-to-Device Communications
Feature Map Pooling for Cross-View Gait Recognition Based on Silhouette Sequence Images
Aggression and "hate speech" in communication of media users: analysis of control capabilities
Yformer: U-Net Inspired Transformer Architecture for Far Horizon Time Series Forecasting
Robust Reactive Power Optimization and Voltage Control Method for Active Distribution Networks via Dual Time-scale Coordination
Fundamentals of Power Allocation Strategies for Downlink Multi-user NOMA with Target Rates
An Invariant Set Approach for Optimization on Integrable Manifolds
A Fine Line: Total Least-Squares Line Fitting as QCQP Optimization
A Communication Efficient Vertical Federated Learning Framework
Data-driven design of perfect reconstruction filterbank for DNN-based sound source enhancement
Reference Capabilities for Flexible Memory Management: Extended Version
Is that a Duiker or Dik Dik Next to the Giraffe? Impacts of Uncertainty on Classification Efficiency in Citizen Science
Register Set Automata (Technical Report)
A Primer on Causal and Statistical Dataset Biases for Fair and Robust Image Analysis
LLA-FLOW: A Lightweight Local Aggregation on Cost Volume for Optical Flow Estimation
Topology-Driven Generative Completion of Lacunae in Molecular Data
Two-level, Many-Paths Generation
Modelling Nonlinear Sequence Generators in terms of Linear Cellular Automata
Block-Diagonal Coding for Distributed Computing With Straggling Servers
A Family of Statistical Divergences Based on Quasiarithmetic Means
Better coloring of 3-colorable graphs
Deep Distribution Regression
A Manifold Approach to Learning Mutually Orthogonal Subspaces
Can Bayesian Neural Networks Make Confident Predictions?
An Extension to an Algebraic Method for Linear Time-Invariant System and Network Theory: The full AC-Calculus
ChemHGNN: A Hierarchical Hypergraph Neural Network for Reaction Virtual Screening and Discovery
Multi-Generative Agent Collective Decision-Making in Urban Planning: A Case Study for Kendall Square Renovation
Pistol: Pupil Invisible Supportive Tool to extract Pupil, Iris, Eye Opening, Eye Movements, Pupil and Iris Gaze Vector, and 2D as well as 3D Gaze
A framework for annotating and modelling intentions behind metaphor use
Geometric Spanners With Small Chromatic Number
The Gibbs Representation of 3D Rotations
Unsupervised Semantic Segmentation of 3D Point Clouds via Cross-modal Distillation and Super-Voxel Clustering
Semantically-Oriented Mutation Operator in Cartesian Genetic Programming for Evolutionary Circuit Design
Types and forgetfulness in categorical linguistics and quantum mechanics
LogRCA: Log-based Root Cause Analysis for Distributed Services
Automatic Item Generation for Personality Situational Judgment Tests with Large Language Models
Towards Robust Cross-Domain Recommendation with Joint Identifiability of User Preference
New Benchmark Dataset and Fine-Grained Cross-Modal Fusion Framework for Vietnamese Multimodal Aspect-Category Sentiment Analysis
E-commerce Query-based Generation based on User Review
High-Performance Rotor Cooling with Ducted Liquid in Completely Cold-Formed Modular Motor Shaft
Describe and Attend to Track: Learning Natural Language guided Structural Representation and Visual Attention for Object Tracking
Improving Quality of Clustering using Cellular Automata for Information retrieval
A note on full weight spectrum codes
Call-by-Value Solvability and Multi Types
Implementation Of Wildlife Observation System
Cross-Lingual Word Embedding Refinement by 𝓁 1 Norm Optimisation
Toward transient finite element simulation of thermal deformation of machine tools in real-time
LHM: Large Animatable Human Reconstruction Model from a Single Image in Seconds
Privileged to Predicted: Towards Sensorimotor Reinforcement Learning for Urban Driving
Operationalization of Scenario-Based Safety Assessment of Automated Driving Systems
Construction of sequences with high Nonlinear Complexity from the Hermitian Function Field
User Embedding based Neighborhood Aggregation Method for Inductive Recommendation
Art Forgery Detection using Kolmogorov Arnold and Convolutional Neural Networks
Comment on "A Note on Over-Smoothing for Graph Neural Networks"
On symmetric continuum opinion dynamics
Generative Models and Connected and Automated Vehicles: A Survey in Exploring the Intersection of Transportation and AI
Computationally efficient algorithms for statistical image processing. Implementation in R
Gas Station of the Future: A Perspective on AI/ML and IoT in Retail Downstream
3D Maps Registration and Path Planning for Autonomous Robot Navigation
Progress on Integrating Quantum Communications in Optical Systems Testbeds
Geometric Entropic Exploration
Generative Click-through Rate Prediction with Applications to Search Advertising
Data-driven modelling of nonlinear spatio-temporal fluid flows using a deep convolutional generative adversarial network
Deep Learning versus Classical Regression for Brain Tumor Patient Survival Prediction
A Recursive Algorithm for Solving Simple Stochastic Games
Using vis-NIRS and Machine Learning methods to diagnose sugarcane soil chemical properties
Choosing Answers in ε-Best-Answer Identification for Linear Bandits
Modeling and Verification of Agent based Adaptive Traffic Signal using Symbolic Model Verifier
Mobile Cell-Free Massive MIMO with Multi-Agent Reinforcement Learning: A Scalable Framework
AgentFly: Extensible and Scalable Reinforcement Learning for LM Agents
A Framework for Aspectual Requirements Validation: An Experimental Study
Towards a Data Reduction for the Minimum Flip Supertree Problem
Track Any Motions under Any Disturbances
Make-A-Storyboard: A General Framework for Storyboard with Disentangled and Merged Control
Corrections on A numerical method for solving nonlinear Volterra-Fredholm integral equations
Mitigating Cascading Effects in Large Adversarial Graph Environments
Quantum-like Tests for Contextual Querying
Unburdening onboarding in Software Product Lines
Economically Efficient Combined Plant and Controller Design Using Batch Bayesian Optimization: Mathematical Framework and Airborne Wind Energy Case Study
Magnetic Eigenmaps for Visualization of Directed Networks
Real World Large Scale Recommendation Systems Reproducibility and Smooth Activations
Enhancing Depth Completion with Multi-View Monitored Distillation
The k-Cluster Over the Interval Graphs Lies in P
Group Orthogonal Low-Rank Adaptation for RGB-T Tracking
Cross-View Kernel Similarity Metric Learning Using Pairwise Constraints for Person Re-identification
Predicting two-dimensional spatiotemporal chaotic patterns with optimized high-dimensional hybrid reservoir computing
Bound-preserving convex limiting for high-order Runge-Kutta time discretizations of hyperbolic conservation laws
Approximation algorithms on k-cycle covering and k-clique covering
Distributions of Centrality on Networks
EventBox: A Novel Visual Encoding for Interactive Analysis of Temporal and Multivariate Attributes in Event Sequences
Integrating Information Theory and Adversarial Learning for Cross-modal Retrieval
Research on Life Characteristics of Internet Based on Network Motifs
Analyzing Smart Contracts: From EVM to a sound Control-Flow Graph
Improving Consistency in Retrieval-Augmented Systems with Group Similarity Rewards
Data-driven finite element method with RVE generated foam data
On cumulative and relative cumulative past information generating function
Analysis of a Proportionally Fair and Locally Adaptive spatial Aloha in Poisson Networks
Augmenting Phrase Table by Employing Lexicons for Pivot-based SMT
Figuring and Drawing: A Visual Approach to Principled Programming
Free actions and Grassmanian variety
Interpretable Graph Learning Over Sets of Temporally-Sparse Data
A DFS Algorithm for Maximum Matchings in General Graphs
Assessing Quantum Advantage for Gaussian Process Regression
HOBFLOPS CNNs: Hardware Optimized Bitsliced Floating-Point Operations Convolutional Neural Networks
May the Best Meme Win!: New Exploration of Competitive Epidemic Spreading over Arbitrary Multi-Layer Networks
Characterization of deterministically recognizable weighted tree languages over commutative semifields by finitely generated and cancellative scalar algebras
DeepVisInterests: CNN-Ontology Prediction of Users Interests from Social Images
The Existence of $\omega$-Chains for Transitive Mixed Linear Relations and Its Applications
Property-Testing in Sparse Directed Graphs: 3-Star-Freeness and Connectivity
Hybrid Successive Interference Cancellation and Power Adaptation: a Win-Win Strategy for Robust Uplink NOMA Transmission
Adaptive Finite Element Method for a Nonlinear Helmholtz Equation with High Wave Number
FlowDirector: Training-Free Flow Steering for Precise Text-to-Video Editing
Attacking Graph Convolutional Networks via Rewiring