yusuke1997/dblp-id-title huggingface dataset:
A progressive mesh method for physical simulations using lattice Boltzmann method on single-node multi-gpu architectures
Let it Calm: Exploratory Annealed Decoding for Verifiable Reinforcement Learning
Line Drawings of Natural Scenes Guide Visual Attention
Reduce, Reuse, Recycle: Selective Reincarnation in Multi-Agent Reinforcement Learning
Robustness Analysis of Systems' Safety through a New Notion of Input-to-State Safety
A novel soft information algorithm for closest point search in lattices with Tanner graph representations
An accelerated Levin-Clenshaw-Curtis method for the evaluation of highly oscillatory integrals
Language-guided Open-world Video Anomaly Detection
Solving Multi-Coloring Combinatorial Optimization Problems Using Hybrid Quantum Algorithms
Efficient and Effective Retrieval of Dense-Sparse Hybrid Vectors using Graph-based Approximate Nearest Neighbor Search
Robust and Efficient Interference Neural Networks for Defending Against Adversarial Attacks in ImageNet
EQ-Robin: Generating Multiple Minimal Unique-Cause MC/DC Test Suites
Nuclear Segmentation and Classification: On Color & Compression Generalization
Adapting model-based deep learning to multiple acquisition conditions: Ada-MoDL
Accessible Gesture-Driven Augmented Reality Interaction System
Efficient automatic segmentation for multi-level pulmonary arteries: The PARSE challenge
On Approximating the Lp Distances for p>2
ESA-ReID: Entropy-Based Semantic Feature Alignment for Person re-ID
Design and Implementation of Concurrent C0
Harvested Power Region of Two-user MISO WPT Systems With Non-linear EH Nodes
RMITB at TREC COVID 2020
The Application of Stochastic Optimization Algorithms to the Design of a Fractional-order PID Controller
An efficient circle detection scheme in digital images using ant system algorithm
SoundBeam: Target sound extraction conditioned on sound-class labels and enrollment clues for increased performance and continuous learning
Improving Low-Light Image Recognition Performance Based on Image-adaptive Learnable Module
ARC Sort: Enhanced and Time Efficient Sorting Algorithm
Optimized Deep Learning Models for AUV Seabed Image Analysis
Adaptive local surface refinement based on LR NURBS and its application to contact
GPU-based Parallel Computation Support for Stan
Convex relaxations of structured matrix factorizations
An Active Contour Model with Local Variance Force Term and Its Efficient Minimization Solver for Multi-phase Image Segmentation
Communication Optimization in Large Scale Federated Learning using Autoencoder Compressed Weight Updates
Model based system engineering approach of a lightweight embedded TCP/IP
The Curvature Rate λ: A Scalar Measure of Input-Space Sharpness in Neural Networks
A new paradigm for the efficient inclusion of stochasticity in engineering simulations
A Random Matrix Perspective of Echo State Networks: From Precise Bias-Variance Characterization to Optimal Regularization
An Effective Image Feature Classiffication using an improved SOM
SPHINCS + digital signature scheme with GOST hash functions
Avocado Buying Trends in the United States Using SAC
Reliable Weakly Supervised Learning: Maximize Gain and Maintain Safeness
Input-output relationship in social communications characterized by spike train analysis
Guaranteed Simultaneous Asymmetric Tensor Decomposition via Orthogonalized Alternating Least Squares
Enhanced Principal Component Analysis under A Collaborative-Robust Framework
A Mathematical Foundation for Robust Machine Learning based on Bias-Variance Trade-off
Themes Inferred Audio-visual Correspondence Learning
NFCNN: Toward a Noise Fusion Convolutional Neural Network for Image Denoising
A novel nonconvex approach to recover the low-tubal-rank tensor data: when t-SVD meets PSSV
Multi-stage Large Language Model Correction for Speech Recognition
Speculative Safety-Aware Decoding
Polite Emotional Dialogue Acts for Conversational Analysis in Daily Dialog Data
Neural Networks with Complex and Quaternion Inputs
Riding the Carousel: The First Extensive Eye Tracking Analysis of Browsing Behavior in Carousel Recommenders
Aligning Security Compliance and DevOps: A Longitudinal Study
High-Throughput Virtual Screening of Small Molecule Inhibitors for SARS-CoV-2 Protein Targets with Deep Fusion Models
Improving Anti-Eavesdropping Ability without Eavesdropper's CSI: A Practical Secure Transmission Design Perspective
Data Hiding Techniques Using Prime and Natural Numbers
GMAI-VL-R1: Harnessing Reinforcement Learning for Multimodal Medical Reasoning
Feature Representation Learning for NL2SQL Generation Based on Coupling and Decoupling
Beyond Known Reality: Exploiting Counterfactual Explanations for Medical Research
Left computably enumerable reals and initial segment complexity
Response Time Improves Choice Prediction and Function Estimation for Gaussian Process Models of Perception and Preferences
Latent Human Traits in the Language of Social Media: An Open-Vocabulary Approach
Improving Generative Adversarial Networks with Local Coordinate Coding
Boosting for Bounding the Worst-class Error
Self-Supervised Continuous Colormap Recovery from a 2D Scalar Field Visualization without a Legend
Cooperative Localization Utilizing Reinforcement Learning for 5G Networks
Quasi-polynomial Hitting-set for Set-depth-Delta Formulas
Contextual Bandits for adapting to changing User preferences over time
From Byzantine Replication to Blockchain: Consensus is only the Beginning
Efficient Computation of Extended Surface Sources
IdEALS: Idiomatic Expressions for Advancement of Language Skills
Mining Top-K Frequent Itemsets Through Progressive Sampling
Short-time Variational Mode Decomposition
VT-Refine: Learning Bimanual Assembly with Visuo-Tactile Feedback via Simulation Fine-Tuning
Fairness-aware PageRank via Edge Reweighting
Linear Convergence and Implicit Regularization of Generalized Mirror Descent with Time-Dependent Mirrors
The VC-Dimension of Queries and Selectivity Estimation Through Sampling
On the Sharp Input-Output Analysis of Nonlinear Systems under Adversarial Attacks
Risk-Aware Objective-Based Forecasting in Inertia Management
Context Informed Incremental Learning Improves Myoelectric Control Performance in Virtual Reality Object Manipulation Tasks
An Effective Data Augmentation for Person Re-identification
Optimal Sampling Algorithms for Block Matrix Multiplication
End-to-end Training and Decoding for Pivot-based Cascaded Translation Model
A Large-scale Industrial and Professional Occupation Dataset
An Experimental Evaluation of Robustness and Precision for Long-term LiDAR-based Localization in Highly Changing Environments
A-MESS: Anchor based Multimodal Embedding with Semantic Synchronization for Multimodal Intent Recognition
XMasq: Low-Overhead Container Overlay Network Based on eBPF
Improved approximation algorithm for k-level UFL with penalties, a simplistic view on randomizing the scaling parameter
Formulation of Deep Reinforcement Learning Architecture Toward Autonomous Driving for On-Ramp Merge
Optimal Smoothed Analysis and Quantitative Universality for the Smallest Singular Value of Random Matrices
Beyond the Hausdorff Metric in Digital Topology
Automatic Network Reconstruction using ASP
Deep Learning Based Vehicle Tracking System Using License Plate Detection And Recognition
Lightweight Distance bound Protocol for Low Cost RFID Tags
Optimal spanning tree reconstruction in symbolic regression
Holonomic Tools for Basic Hypergeometric Functions
CFSum: A Coarse-to-Fine Contribution Network for Multimodal Summarization
Semantic Text-to-Face GAN -ST^2FG
A Systematic Review of Automated Grammar Checking in English Language
Algorithms with Predictions
Extended Abstract: Motion Planners Learned from Geometric Hallucination
Backdoor Attacks on Network Certification via Data Poisoning
Optimizing Coordinative Schedules for Tanker Terminals: An Intelligent Large Spatial-Temporal Data-Driven Approach - Part 1
Everything is Varied: The Surprising Impact of Individual Variation on ML Robustness in Medicine
A3GAN: An Attribute-aware Attentive Generative Adversarial Network for Face Aging
First Hallucination Tokens Are Different from Conditional Ones
Image-based Visual Servo Control for Aerial Manipulation Using a Fully-Actuated UAV
Improving Diffusion Models's Data-Corruption Resistance using Scheduled Pseudo-Huber Loss
Revealing Dynamic Communities in networks using genetic algorithm with Merging and Splitting Operators
Conditional Diffusion Model for Longitudinal Medical Image Generation
Architecture for Modular Data Centers
Measuring decoherence by commutation relations decay for quasilinear quantum stochastic systems
Heterogeneous Transfer Learning in Ensemble Clustering
Blockchain-based Smart Contracts: A Systematic Mapping Study
Quantifying Nations Exposure to Traffic Observation and Selective Tampering
Emerging Practices in Frontier AI Safety Frameworks
rTisane: Externalizing conceptual models for data analysis increases engagement with domain knowledge and improves statistical model quality
A new efficient Matching method for web services substitution
Ergodic Annealing
Regular Expressions with Backreferences on Multiple Context-Free Languages, and the Closed-Star Condition
A Language for Generic Programming in the Large
Minor-closed graph classes with bounded layered pathwidth
Making the case for audience design in conversational AI: Rapport expectations and language ideologies in a task-oriented chatbot
HDLCoRe: A Training-Free Framework for Mitigating Hallucinations in LLM-Generated HDL
LITE: A Stable Framework for Lattice-Integrated Embedding of Topological Descriptors
MissMarple : A Novel Socio-inspired Feature-transfer Learning Deep Network for Image Splicing Detection
The Evolution Of Centralisation on Cryptocurrency Platforms
Deep Joint Denoising and Detection for Enhanced Intracellular Particle Analysis
SCG-Net: Self-Constructing Graph Neural Networks for Semantic Segmentation
The voice of few, the opinions of many: evidence of social biases in Twitter COVID-19 fake news sharing
TopoBDA: Towards Bezier Deformable Attention for Road Topology Understanding
Resource allocation under uncertainty: an algebraic and qualitative treatment
Improved Network Calculus Delay Bounds in Time-Sensitive Networks
Determining a graph from its reconfiguration graph
Cultural Cartography with Word Embeddings
Improved algorithms and novel applications of the FrankWolfe.jl library
TV-LiVE: Training-Free, Text-Guided Video Editing via Layer Informed Vitality Exploitation
Hardness of some variants of the graph coloring game
Cores over Ramsey structures
Divisible minimal codes
A fully coupled numerical model of thermo-hydro-mechanical processes and fracture contact mechanics in porous media
Filtrage vaste marge pour l'étiquetage séquentiel à noyaux de signaux
Should We Always Train Models on Fine-Grained Classes?
A calculus for costed computations
Make Me Happier: Evoking Emotions Through Image Diffusion Models
Rethinking the Starting Point: Enhancing Performance and Fairness of Federated Learning via Collaborative Pre-Training
Parametric matroid of rough set
Intelligence of Astronomical Optical Telescope: Present Status and Future Perspectives
On enhancing the robustness of Vision Transformers: Defensive Diffusion
Hybrid oscillator-qudit quantum processors: stabilizer states and symplectic operations
LABCAT: Locally adaptive Bayesian optimization using principal component-aligned trust regions
A Distance Map Regularized CNN for Cardiac Cine MR Image Segmentation
Empirical Perspectives on One-Shot Semi-supervised Learning
Efficient Quantum-Safe Homomorphic Encryption for Quantum Computer Programs
Batch Face Alignment using a Low-rank GAN
text2sdg: An open-source solution to monitoring sustainable development goals from text
Towards Verified Code Reasoning by LLMs
TDSelector: A Training Data Selection Method for Cross-Project Defect Prediction
Nanoscale Reconfigurable Intelligent Surface Design and Performance Analysis for Terahertz Communications
Chat-3D v2: Bridging 3D Scene and Large Language Models with Object Identifiers
Symbol Detection in Multi-channel Multi-tag Ambient Backscatter Communication Under IQ Imbalance
A Comprehensive Review on Recent Methods and Challenges of Video Description
New Spectrally Constrained Sequence Sets with Optimal {Periodic} Cross-Correlation
WaveNet's Precision in EEG Classification
SAISA: Towards Multimodal Large Language Models with Both Training and Inference Efficiency
Deep Learning Techniques for Atmospheric Turbulence Removal: A Review
Alternately-optimized SNN method for acoustic scattering problem in unbounded domain
The Australian PCEHR system: Ensuring Privacy and Security through an Improved Access Control Mechanism
High-Resolution Maps of Left Atrial Displacements and Strains Estimated with 3D CINE MRI and Unsupervised Neural Networks
Fabrication-aware Design for Furniture with Planar Pieces
Universal Camouflage Attack on Vision-Language Models for Autonomous Driving
Synthetic Survival Data Generation for Heart Failure Prognosis Using Deep Generative Models
An estimate of accuracy for interpolant numerical solutions of a PDE problem
Human-centered In-building Embodied Delivery Benchmark
An Ensemble of Bayesian Neural Networks for Exoplanetary Atmospheric Retrieval
Convergence analysis for a finite volume evolution Galerkin method for multidimensional hyperbolic systems
Bridging Systems: Open Problems for Countering Destructive Divisiveness across Ranking, Recommenders, and Governance
Segmentation of cell-level anomalies in electroluminescence images of photovoltaic modules
C-Ports: a proposal for a comprehensive standardization and implementation plan of digital services offered by the "Port of the Future"
Federated Transfer Learning with Task Personalization for Condition Monitoring in Ultrasonic Metal Welding
On a fractional version of Haemers' bound
QUANOS- Adversarial Noise Sensitivity Driven Hybrid Quantization of Neural Networks
Advancing Medical Imaging with Language Models: A Journey from N-grams to ChatGPT
Development, Implementation, and Experimental Outdoor Evaluation of Quadcopter Controllers for Computationally Limited Embedded Systems
Test-Time Scaling in Reasoning Models Is Not Effective for Knowledge-Intensive Tasks Yet
Neural Networks and Quantifier Conservativity: Does Data Distribution Affect Learnability?
Molecule Graph Networks with Many-body Equivariant Interactions
Proto-MPC: An Encoder-Prototype-Decoder Approach for Quadrotor Control in Challenging Winds
QFaaS: A Serverless Function-as-a-Service Framework for Quantum Computing
COPS: A Compact On-device Pipeline for real-time Smishing detection
Towards scientific machine learning for granular material simulations - challenges and opportunities
Multisymplectic Hamiltonian Variational Integrators
Partitioning Well-Clustered Graphs with k-Means and Heat Kernel
The (Computational) Social Choice Take on Indivisible Participatory Budgeting
Change Point Detection in Time Series Data using Autoencoders with a Time-Invariant Representation
Stability Analysis of Fractional Order Memristor Synapse-coupled Hopfield Neural Network with Ring Structure
Enhancing LLM-based Recommendation through Semantic-Aligned Collaborative Knowledge
Small-footprint slimmable networks for keyword spotting
Variable-to-Fixed Length Homophonic Coding with a Modified Shannon-Fano-Elias Code
Text Generation with Deep Variational GAN
On Transforming Reinforcement Learning by Transformer: The Development Trajectory
Conformal Prediction: a Unified Review of Theory and New Challenges
ViTs: Teaching Machines to See Time Series Anomalies Like Human Experts
An efficient topology optimization based on multigrid assisted reanalysis for heat transfer problem
Using Active Learning Methods to Strategically Select Essays for Automated Scoring
PhysGM: Large Physical Gaussian Model for Feed-Forward 4D Synthesis
Optimality of quasi-Monte Carlo methods and suboptimality of the sparse-grid Gauss-Hermite rule in Gaussian Sobolev spaces
Predicting Research Trends with Semantic and Neural Networks with an application in Quantum Physics
CKAA: Cross-subspace Knowledge Alignment and Aggregation for Robust Continual Learning
Estimating and Controlling for Fairness via Sensitive Attribute Predictors
A General Framework for Covariance Matrix Optimization in MIMO Systems
It Takes a Village: A Distributed Training Model for AI-based Chatbots
Speculative Model Risk in Healthcare AI: Using Storytelling to Surface Unintended Harms
Gas Source Localization Using physics Guided Neural Networks
Feature Engineering for Supervised Link Prediction on Dynamic Social Networks
An impossibility result for Markov Chain Monte Carlo sampling from micro-canonical bipartite graph ensembles
Towards a better understanding of the matrix product function approximation algorithm in application to quantum physics
Recent advancements in LLM Red-Teaming: Techniques, Defenses, and Ethical Considerations
Large Language Model-enhanced Reinforcement Learning for Low-Altitude Economy Networking
AI Challenges for Society and Ethics
Enabling Fast and Accurate Neutral Atom Readout through Image Denoising
Machine Learning for predicting chaotic systems
Learning Modular Structures That Generalize Out-of-Distribution
Adaptive Single-Trial Error/Erasure Decoding for Binary Codes
Analysis of critical parameters of satellite stereo image for 3D reconstruction and mapping
A Novel Model for Arbitration between Planning and Habitual Control Systems
A note on $\mathtt{V}$-free $2$-matchings
Some Improvements on Deep Convolutional Neural Network Based Image Classification
A Meta-Analysis of the Persuasive Power of Large Language Models
Transaction Fraud Detection via an Adaptive Graph Neural Network
Linear, nested, and quadratic ordered measures: Computation and incorporation into optimization problems
VLA-Pruner: Temporal-Aware Dual-Level Visual Token Pruning for Efficient Vision-Language-Action Inference
Language models align with human judgments on key grammatical constructions
vMFNet: Compositionality Meets Domain-generalised Segmentation
Design and Development of Rule-based open-domain Question-Answering System on SQuAD v2.0 Dataset
Time-optimal path tracking for industrial robot: A model-free reinforcement approach
The Dichotomy of Conjunctive Queries on Probabilistic Structures
Defending against Phishing Attacks: Taxonomy of Methods, Current Issues and Future Directions
Error Estimates for Sparse Tensor Products of B-spline Approximation Spaces
WEAVE: Unleashing and Benchmarking the In-context Interleaved Comprehension and Generation
Rethinking Depth Estimation for Multi-View Stereo: A Unified Representation and Focal Loss
ViWiD: Leveraging WiFi for Robust and Resource-Efficient SLAM
Optimizing Bandwidth Sharing for Real-time Traffic in Wireless Networks
Blockchain and human episodic memory
Enhancing Reference-based Sketch Colorization via Separating Reference Representations
LOOM-Scope: a comprehensive and efficient LOng-cOntext Model evaluation framework
CitySeg: A 3D Open Vocabulary Semantic Segmentation Foundation Model in City-scale Scenarios
Interpretation of the principles and implementation of FreeRider: A tutorial
AtlasGS: Atlanta-world Guided Surface Reconstruction with Implicit Structured Gaussians
A 3-player protocol preventing persistence in strategic contention with limited feedback
Neural Message Passing on High Order Paths
FedDD: Toward Communication-efficient Federated Learning with Differential Parameter Dropout
A Paradigm for Situated and Goal-Driven Language Learning
Multi-physics Extension of OpenFMO Framework
An Efficient deep learning model to Predict Stock Price Movement Based on Limit Order Book
Task-Oriented Dexterous Grasp Synthesis via Differentiable Grasp Wrench Boundary Estimator
Many of Your DPOs are Secretly One: Attempting Unification Through Mutual Information
A Review on Modern Computational Optimal Transport Methods with Applications in Biomedical Research
The State of AI Ethics Report (June 2020)
SEALGuard: Safeguarding the Multilingual Conversations in Southeast Asian Languages for LLM Software Systems
Structured random measurements in signal processing
Visual Understanding via Multi-Feature Jointly Sharing Learning
Systematic quantitative analyses reveal the folk-zoological knowledge embedded in folktales
The Internet of Things: New Interoperability, Management and Security Challenges
Text Indexing for Long Patterns using Locally Consistent Anchors
In the Mood to Exclude: Revitalizing Trespass to Chattels in the Era of GenAI Scraping
Experts Weights Averaging: A New General Training Scheme for Vision Transformers
Machine Learning in Falls Prediction; A cognition-based predictor of falls for the acute neurological in-patient population
On the Complexity of Testing Attainment of the Optimal Value in Nonlinear Optimization
Dynamic Posted-Price Mechanisms for the Blockchain Transaction-Fee Market
An image compression and encryption scheme based on deep learning
Pure Type Systems without Explicit Contexts
Deep Learning-Based Cyber-Attack Detection Model for Smart Grids
Dynamic Incentive Strategies for Smart EV Charging Stations: An LLM-Driven User Digital Twin Approach
A process calculus approach to correctness enforcement of PLCs (full version)
Latent Communication in Artificial Neural Networks
Non-Termination Proving: 100 Million LoC and Beyond
Corrupted Sensing with Sub-Gaussian Measurements
Privacy-Preserved Collaborative Estimation for Networked Vehicles with Application to Road Anomaly Detection
TS-Reasoner: Aligning Time Series Foundation Models with LLM Reasoning
An Exhaustive Study of the Workspace Topologies of all 3R Orthogonal Manipulators with Geometric Simplifications
NAVINACT: Combining Navigation and Imitation Learning for Bootstrapping Reinforcement Learning
Assisting Blind People Using Object Detection with Vocal Feedback
Delay Propagation and Overlapping Mechanisms on Clusters: A Case Study of Idle Periods based on Workload, Communication, and Delay Granularity
DARTS: Dialectal Arabic Transcription System
Decoder Choice Network for Meta-Learning
Deep Feed-Forward Neural Network for Bangla Isolated Speech Recognition
Treatment of Epsilon-Moves in Subset Construction
Adaptive Sampling for Fast Constrained Maximization of Submodular Function
GCD Computation of n Integers
In-Silico Proportional-Integral Moment Control of Stochastic Reaction Networks with Applications to Gene Expression (with Dimerization)
Training Novices: The Role of Human-AI Collaboration and Knowledge Transfer
Bootstrapping Structure using Similarity
A Systematic Paradigm for Detecting, Surfacing, and Characterizing Heterogeneous Treatment Effects (HTE)
The quest for rings on bipolar scales
Binary Polar Code Kernels from Code Decompositions
Total Domination in Unit Disk Graphs
An Enhanced Framework with Advanced Study to Incorporate the Searching of E-Commerce Products Using Modernization of Database Queries
On LR(k)-parsers of polynomial size
Improving Discrete Diffusion Unmasking Policies Beyond Explicit Reference Policies
Implementing Immune Repertoire Models Using Weighted Finite State Machines
Kinematic analysis of a 3-UPU parallel Robot using the Ostrowski-Homotopy Continuation
Comparing Explanation Methods for Traditional Machine Learning Models Part 2: Quantifying Model Explainability Faithfulness and Improvements with Dimensionality Reduction
HeCSON: Heuristic for Configuration Selectionin Optical Network Planning
Transforming Collaboration Data into Network Layers for Enhanced Analytics
Bilinear Compressed Sensing under known Signs via Convex Programming
Deep Learning-Based Quasi-Conformal Surface Registration for Partial 3D Faces Applied to Facial Recognition
Flatness-based motion planning for a non-uniform moving cantilever Euler-Bernoulli beam with a tip-mass
User Manual for the Apple CoreCapture Framework
Classification of descriptions and summary using multiple passes of statistical and natural language toolkits
MECAD: A multi-expert architecture for continual anomaly detection
Matching entropy based disparity estimation from light field
SMILES & SELFIES has to go : Representation of Molecules via Algebraic Data Types
Confucius Code Agent: Scalable Agent Scaffolding for Real-World Codebases