yusuke1997/dblp-id-title huggingface dataset:
Root Laplacian Eigenmaps with their application in spectral embedding
Workload Schedulers - Genesis, Algorithms and Differences
The Repetition Threshold for Rote Sequences
AquaChat++: LLM-Assisted Multi-ROV Inspection for Aquaculture Net Pens with Integrated Battery Management and Thruster Fault Tolerance
Fairest Constant Sum-rate Transmission for Cooperative Data Exchange: An M-convex Minimization Approach
Distributed-Pair Programming can work well and is not just Distributed Pair-Programming
Punctuation and Predicates in Language Models
FaRM: Fair Reward Mechanism for Information Aggregation in Spontaneous Localized Settings (Extended Version)
Rician Denoising Diffusion Probabilistic Models For Sodium Breast MRI Enhancement
A Two-Phase Scheme for Distributed TDMA Scheduling in WSNs with Flexibility to Trade-off between Schedule Length and Scheduling Time
CVEfixes: Automated Collection of Vulnerabilities and Their Fixes from Open-Source Software
Automatic Generation of Combinatorial Reoptimisation Problem Specifications: A Vision
ECG-DelNet: Delineation of Ambulatory Electrocardiograms with Mixed Quality Labeling Using Neural Networks
RGDBEK: Randomized Greedy Double Block Extended Kaczmarz Algorithm with Hybrid Parallel Implementation and Applications
Unveiling the Landscape of Smart Contract Vulnerabilities: A Detailed Examination and Codification of Vulnerabilities in Prominent Blockchains
Modern Bayesian Experimental Design
Unraveling the Hessian: A Key to Smooth Convergence in Loss Function Landscapes
Boarding for ISS: Imbalanced Self-Supervised: Discovery of a Scaled Autoencoder for Mixed Tabular Datasets
Ultra-low-power Wireless Streaming Cameras
Numerical Integration and Dynamic Discretization in Heuristic Search Planning over Hybrid Domains
Semantic Adversarial Perturbations using Learnt Representations
Graph-Smoothed Bayesian Black-Box Shift Estimator and Its Information Geometry
BurTorch: Revisiting Training from First Principles by Coupling Autodiff, Math Optimization, and Systems
Developmental Plasticity-inspired Adaptive Pruning for Deep Spiking and Artificial Neural Networks
Celer: an Efficient Program for Genotype Elimination
Application of Support Vector Machines for Seismogram Analysis and Differentiation
Echotune: A Modular Extractor Leveraging the Variable-Length Nature of Speech in ASR Tasks
Diffuse-interface blended method for the imposition of physical boundaries in two-fluid flows
Optimal Fast Johnson-Lindenstrauss Embeddings for Large Data Sets
Topology-Aware Loss for Aorta and Great Vessel Segmentation in Computed Tomography Images
Teachers' perspective on fostering computational thinking through educational robotics
Multiple View Reconstruction of Calibrated Images using Singular Value Decomposition
Dissecting Tool-Integrated Reasoning: An Empirical Study and Analysis
Graph Message Passing with Cross-location Attentions for Long-term ILI Prediction
JALAD: Joint Accuracy- and Latency-Aware Deep Structure Decoupling for Edge-Cloud Execution
PAO: A general particle swarm algorithm with exact dynamics and closed-form transition densities
Tree Edit Distance with Variables. Measuring the Similarity between Mathematical Formulas
i3PosNet: Instrument Pose Estimation from X-Ray
Double-oracle sampling method for Stackelberg Equilibrium approximation in general-sum extensive-form games
The Semiotic Channel Principle: Measuring the Capacity for Meaning in LLM Communication
An evaluation of LLMs and Google Translate for translation of selected Indian languages via sentiment and semantic analyses
A Data-Centric Optimization Framework for Machine Learning
On the hardness of switching to a small number of edges
Some New Results on Equivalency of Collusion-Secure Properties for Reed-Solomon Codes
Embedding approximately low-dimensional ℓ 2 2 metrics into ℓ 1
PointManifold: Using Manifold Learning for Point Cloud Classification
HMI: Hierarchical Knowledge Management for Efficient Multi-Tenant Inference in Pretrained Language Models
Deterministic Neural Networks with Appropriate Inductive Biases Capture Epistemic and Aleatoric Uncertainty
Quantifying Node-based Core Resilience
KitcheNette: Predicting and Recommending Food Ingredient Pairings using Siamese Neural Networks
Extending Answer Set Programming with Rational Numbers
Outcome-Driven Clustering of Acute Coronary Syndrome Patients using Multi-Task Neural Network with Attention
Modeling Survival in model-based Reinforcement Learning
Steered Response Power for Sound Source Localization: A Tutorial Review
Reactivation: Empirical NTK Dynamics Under Task Shifts
Toward Reproducibility of Digital Twin Research: Exemplified with the PiCar-X
A mixed-integer linear programming approach for soft graph clustering
Full-Program Induction: Verifying Array Programs sans Loop Invariants
Analysis Traceability and Provenance for HEP
Quantitative information flow under generic leakage functions and adaptive adversaries
Exploration-Exploitation-Evaluation (EEE): A Framework for Metaheuristic Algorithms in Combinatorial Optimization
Toward a Safety Argumentation Lifecycle for Automated Vehicles: Promoting Communication and Interdependency with System Lifecycle Processes
LLMs Are In-Context Reinforcement Learners
A framework for mitigating zero-day attacks in IoT
OCT2Confocal: 3D CycleGAN based Translation of Retinal OCT Images to Confocal Microscopy
Detección y Cuantificación de Erosión Fluvial con Visión Artificial
Mythological Medical Machine Learning: Boosting the Performance of a Deep Learning Medical Data Classifier Using Realistic Physiological Models
Oriented Object Detection with Transformer
Stochastic-Based Pattern Recognition Analysis
On Lattice Sequential Decoding for The Unconstrained AWGN Channel
OxML Challenge 2023: Carcinoma classification using data augmentation
Reactive Transformer (RxT) - Stateful Real-Time Processing for Event-Driven Reactive Language Models
Teraflop-scale Incremental Machine Learning
Generative Posterior Networks for Approximately Bayesian Epistemic Uncertainty Estimation
A Multi-view Impartial Decision Network for Frontotemporal Dementia Diagnosis
Orientation Driven Bag of Appearances for Person Re-identification
Economic Evaluation of LLMs
Quantum time inversion to prevent DDoS attacks: A potentially realizable TENET technology
Compressing Large Language Models with PCA Without Performance Loss
Libraries, Integrations and Hubs for Decentralized AI using IPFS
Too Good To Be True: performance overestimation in (re)current practices for Human Activity Recognition
A Constructive Scientific Methodology to Improve Climate Figures from IPCC
The Psychological Impacts of Algorithmic and AI-Driven Social Media on Teenagers: A Call to Action
Plate-forme Magicien d'Oz pour l'étude de l'apport des ACAs à l'interaction
Ptarithmetic
Economics Arena for Large Language Models
Accuracy of Segment-Anything Model (SAM) in medical image segmentation tasks
COVID-19Base: A knowledgebase to explore biomedical entities related to COVID-19
Model for Thermal Comfort and Energy Saving Based on Individual Sensation Estimation
Empirical Evaluation of Large Language Models in Automated Program Repair
Incorporating Pseudo-Parallel Data for Quantifiable Sequence Editing
Rank-1 Constrained Multichannel Wiener Filter for Speech Recognition in Noisy Environments
Right Is Not Enough: The Pitfalls of Outcome Supervision in Training LLMs for Math Reasoning
BERTSurv: BERT-Based Survival Models for Predicting Outcomes of Trauma Patients
A categorical perspective on constraint satisfaction: The wonderland of adjunctions
Leveraging Large Language Models to Detect Missed Peephole Optimizations
Lower bounding the MaxCut of high girth 3-regular graphs using the QAOA
Machine Learning Enhanced Blockchain Consensus with Transaction Prioritization for Smart Cities
On the equivalence between minimal sufficient statistics, minimal typical models and initial segments of the Halting sequence
Towards A Unified Agent with Foundation Models
Application of Deep Learning Reduced-Order Modeling for Single-Phase Flow in Faulted Porous Media
Underdamped Langevin MCMC with third order convergence
ORION: A Holistic End-to-End Autonomous Driving Framework by Vision-Language Instructed Action Generation
Bayesian machine learning for Boltzmann machine in quantum-enhanced feature spaces
Validating the Claim - Defeating HaTCh : Building Malicious IP cores
CodeBoost: Boosting Code LLMs by Squeezing Knowledge from Code Snippets with RL
VaCDA: Variational Contrastive Alignment-based Scalable Human Activity Recognition
Adaptive shot allocation for fast convergence in variational quantum algorithms
Geometric-Perturbation-Robust Cut-Cell Scheme for Two-Material Flows: Exact Pressure-Equilibrium Preservation and Rigorous Analysis
On the implementation of a robust and efficient finite element-based parallel solver for the compressible Navier-Stokes equations
Latent-Autoregressive GP-VAE Language Model
The Rank of n×n Matrix Multiplication
Synchronicity, Instant Messaging and Performance among Financial Traders
Polynomial Chaos-Based Flight Control Optimization with Guaranteed Probabilistic Performance
Leveraging Metaphors in a VR Serious Game for Computational Thinking
3D Shape Completion on Unseen Categories: A Weakly-supervised Approach
Modeling Quantum Optical Components, Pulses and Fiber Channels Using OMNeT++
HumaniBench: A Human-Centric Framework for Large Multimodal Models Evaluation
Accelerating Regression Tasks with Quantum Algorithms
Disentangling Generative Factors of Physical Fields Using Variational Autoencoders
Distributed Global Optimal Coverage Control in Multi-agent Systems: Known and Unknown Environments
Spatial-Aware Image Retrieval: A Hyperdimensional Computing Approach for Efficient Similarity Hashing
A proof of imitation of Wasserstein inverse reinforcement learning for multi-objective optimization
Simultaneous 12-Lead Electrocardiogram Synthesis using a Single-Lead ECG Signal: Application to Handheld ECG Devices
Memetic Algorithm-Based Path Generation for Multiple Dubins Vehicles Performing Remote Tasks
Solving high-dimensional Kolmogorov backward equations with functional hierarchical tensor operators
Instruction-aware User Embedding via Synergistic Language and Representation Modeling
Learning Efficient Representation for Intrinsic Motivation
VMCDL: Vulnerability Mining Based on Cascaded Deep Learning Under Source Control Flow
Distilling Ensemble of Explanations for Weakly-Supervised Pre-Training of Image Segmentation Models
Developing Explainable Machine Learning Model using Augmented Concept Activation Vector
To Think or Not to Think: The Hidden Cost of Meta-Training with Excessive CoT Examples
Multi-Document Summarization via Discriminative Summary Reranking
Meta-Key: A Secure Data-Sharing Protocol under Blockchain-Based Decentralised Storage Architecture
Edge exchangeable models for network data
SPARC: Spine with Prismatic and Revolute Compliance for Quadruped Robot
Energy-based Models as Zero-Shot Planners for Compositional Scene Rearrangement
On Interference Networks with Feedback and Delayed CSI
A Constructive Proof On the Compositionality of Linearizability
Optimal Hyper-Scalable Load Balancing with a Strict Queue Limit
Inference Rules for Binary Predicates in a Multigranular Framework
From partial data to out-of-sample parameter and observation estimation with Diffusion Maps and Geometric Harmonics
Shadow Image Enlargement Distortion Removal
Latent Variable Modeling in Multi-Agent Reinforcement Learning via Expectation-Maximization for UAV-Based Wildlife Protection
LLM Assisted Anomaly Detection Service for Site Reliability Engineers: Enhancing Cloud Infrastructure Resilience
Necessary and sufficient conditions of solution uniqueness in ℓ 1 minimization
Cross-domain Voice Activity Detection with Self-Supervised Representations
Analysis and object oriented implementation of the Kovacic algorithm
Contracting With a Reinforcement Learning Agent by Playing Trick or Treat
GSM-Agent: Understanding Agentic Reasoning Using Controllable Environments
On Rank-Monotone Graph Operations and Minimal Obstruction Graphs for the Lovász-Schrijver SDP Hierarchy
Synthetic Dataset Creation and Fine-Tuning of Transformer Models for Question Answering in Serbian
Hierarchical Decentralized Robust Optimal Design for Homogeneous Linear Multi-Agent Systems
Spiking Manifesto
Service Registration, Indexing, Discovery & Selection; An Architectural Survey Toward a GenAI-Driven Future
Are machine learning technologies ready to be used for humanitarian work and development?
Off-Policy Corrected Reward Modeling for Reinforcement Learning from Human Feedback
Accelerated Computation of a High Dimensional Kolmogorov-Smirnov Distance
The Subject of Emergent Misalignment in Superintelligence: An Anthropological, Cognitive Neuropsychological, Machine-Learning, and Ontological Perspective
Task Vector Quantization for Memory-Efficient Model Merging
On resources and tasks
Assessment of Quantitative Cyber-Physical Reliability of SCADA Systems in Autonomous Vehicle to Grid (V2G) Capable Smart Grids
Concept Induction using LLMs: a user experiment for assessment
Measuring LLM Sensitivity in Transformer-based Tabular Data Synthesis
CineTechBench: A Benchmark for Cinematographic Technique Understanding and Generation
Optimization-based Settingless Algorithm Combining Protection and Fault Identification
Intra-task Mutual Attention based Vision Transformer for Few-Shot Learning
Memory Augmented Recursive Neural Networks
How can heat maps of indexing vocabularies be utilized for information seeking purposes?
Simple Additions, Substantial Gains: Expanding Scripts, Languages, and Lineage Coverage in URIEL+
Difficulties of the NSGA-II with the Many-Objective LeadingOnes Problem
Formally Verified Neurosymbolic Trajectory Learning via Tensor-based Linear Temporal Logic on Finite Traces
Ambulance Demand Prediction via Convolutional Neural Networks
Interaction laws of monads and comonads
Intra-Variable Handwriting Inspection Reinforced with Idiosyncrasy Analysis
Effective Deterministic Initialization for $k$-Means-Like Methods via Local Density Peaks Searching
Human Centric Accessibility Graph For Environment Analysis
Unifying Variational Inference and PAC-Bayes for Supervised Learning that Scales
Community Aware Random Walk for Network Embedding
VGSwarm: A Vision-based Gene Regulation Network for UAVs Swarm Behavior Emergence
Predictive Auditing of Hidden Tokens in LLM APIs via Reasoning Length Estimation
Emergent Multi-Agent Communication in the Deep Learning Era
A Probabilistic Method for Nonlinear Robustness Analysis of F-16 Controllers
A Unified Framework to Enforce, Discover, and Promote Symmetry in Machine Learning
Automating Open Fault Correction in Integrated Circuits via Field Induced Diffusion Limited Aggregation
Positioning AI Tools to Support Online Harm Reduction Practice: Applications and Design Directions
Structure-Aware Feature Rectification with Region Adjacency Graphs for Training-Free Open-Vocabulary Semantic Segmentation
Approximation of Set-Valued Functions with images sets in ℝ d
Maximizing Consistent Force Output for Shape Memory Alloy Artificial Muscles in Soft Robots
ParaDIAG: Parallel-in-Time Algorithms Based on the Diagonalization Technique
Cardiotensor: A Python Library for Orientation Analysis and Tractography in 3D Cardiac Imaging
The Nondeterministic Waiting Time Algorithm: A Review
Spectra of evolution operators of a class of neutral renewal equations: theoretical and numerical aspects
Lower Bounds on the Algebraic Immunity of Boolean Functions
Contrastive Explanations for Reinforcement Learning in terms of Expected Consequences
CNNs and GANs in MRI-based cross-modality medical image estimation
Lattices generated by Chip Firing Game models: characterizations and recognition algorithm
A Survey on Radar-Based Fall Detection
Note on "Average resistance of toroidal graphs" by Rossi, Frasca and Fagnani
The Dawn of Natural Language to SQL: Are We Fully Ready?
Spatial-Temporal Data Mining for Ocean Science: Data, Methodologies, and Opportunities
The Adverse Effects of Code Duplication in Machine Learning Models of Code
MRStyle: A Unified Framework for Color Style Transfer with Multi-Modality Reference
Xmodel-VLM: A Simple Baseline for Multimodal Vision Language Model
A Dual-hierarchy Semantic Graph for Robust Object Recognition
Mutually Assured Deregulation
Enabling Digitalization in Modular Robotic Systems Integration
Backdoor-Powered Prompt Injection Attacks Nullify Defense Methods
A Direct Construction of Optimal ZCCS and IGC Code Set With Maximum Column Sequence PMEPR Two For MC-CDMA System
Mask CycleGAN: Unpaired Multi-modal Domain Translation with Interpretable Latent Variable
Multi-Scenario Highway Lane-Change Intention Prediction: A Temporal Physics-Informed Multi-Modal Framework
Sphere2Vec: A General-Purpose Location Representation Learning over a Spherical Surface for Large-Scale Geospatial Predictions
Hybrid dynamical type theories for navigation
Distilling Critical Paths in Convolutional Neural Networks
ST-Booster: An Iterative SpatioTemporal Perception Booster for Vision-and-Language Navigation in Continuous Environments
Fréchet Audio Distance: A Metric for Evaluating Music Enhancement Algorithms
A GPU-accelerated Direct-sum Boundary Integral Poisson-Boltzmann Solver
Unifying Scheduling Algorithms for Group Completion Time
Leveraging Large Language Models to Detect Influence Campaigns in Social Media
Energy-Dissipative Evolutionary Kolmogorov-Arnold Networks for Complex PDE Systems
Evaluation of deep learning-based myocardial infarction quantification using Segment CMR software
Contrastive Deep Learning Reveals Age Biomarkers in Histopathological Skin Biopsies
Interactive Hatching and Stippling by Example
A Large Dataset for Improving Patch Matching
Robust Deep Ensemble Method for Real-world Image Denoising
A control scheme for collaborative object transportation between a human and a quadruped robot using the MIGHTY suction cup
Reducing the memory usage of Lattice-Boltzmann schemes with a DWT-based compression
Recent advances in deep learning and language models for studying the microbiome
Multi-order Runge-Kutta methods or how to numerically solve initial value problems of any order
Spatio-temporal encoding improves neuromorphic tactile texture classification
An improved axiomatic definition of information granulation
Acoustic Echo Cancellation using Residual U-Nets
Classification of the Extremely Low Frequency Magnetic Field Radiation Measurement from the Laptop Computers
Integration of Swin UNETR and statistical shape modeling for a semi-automated segmentation of the knee and biomechanical modeling of articular cartilage
Binary Classification in Unstructured Space With Hypergraph Case-Based Reasoning
Agon: A Scalable Competitive Scheduler for Large Heterogeneous Systems
Beyond SSO: Mobile Money Authentication for Inclusive e-Government in Sub-Saharan Africa
Committee Draft of JPEG XL Image Coding System
A Dynamic Model for Sharing Reputation of Sellers among Buyers for Enhancing Trust in Agent Mediated e-market
New Results on Edge Partitions of 1-plane Graphs
Entity Linking using LLMs for Automated Product Carbon Footprint Estimation
Segmenting and Understanding: Region-aware Semantic Attention for Fine-grained Image Quality Assessment with Large Language Models
Non-linear Task-Space Disturbance Observer for Position Regulation of Redundant Robot Arms against Perturbations in 3D Environments
PGD-VIO: An Accurate Plane-Aided Visual-Inertial Odometry with Graph-Based Drift Suppression
Sound speed uncertainty in Acousto-Electric Tomography
The Larger the Better? Improved LLM Code-Generation via Budget Reallocation
Bridging the Gap: Aligning Text-to-Image Diffusion Models with Specific Feedback
Learning 3D Persistent Embodied World Models
Evaluating the performance-deviation of itemKNN in RecBole and LensKit
KinePose: A temporally optimized inverse kinematics technique for 6DOF human pose estimation with biomechanical constraints
Self-DANA: A Resource-Efficient Channel-Adaptive Self-Supervised Approach for ECG Foundation Models
Robust Face Liveness Detection for Biometric Authentication using Single Image
Two Dictator Functions Maximize Mutual Information
Automatic Equalization for Individual Instrument Tracks Using Convolutional Neural Networks
Rapid-convergent nonlinear differentiator
Learning Semantic Segmentation with Query Points Supervision on Aerial Images
Separation Theorems for Phase-Incoherent Multiple-User Channels
Interpolation in Equilibrium Logic and Answer Set Programming: the Propositional Case
Machine Learning and Data Science approach towards trend and predictors analysis of CDC Mortality Data for the USA
Pretrained transformer efficiently learns low-dimensional target functions in-context
Ab-initio Contrast Estimation and Denoising of Cryo-EM Images
Multi-fidelity regression using artificial neural networks: efficient approximation of parameter-dependent output quantities
Eigen-convergence of Gaussian kernelized graph Laplacian by manifold heat interpolation
You Are How (and Where) You Search? Comparative Analysis of Web Search Behaviour Using Web Tracking Data
Non-negative Matrix Factorization with Linear Constraints for Single-Channel Speech Enhancement
Alignment is not sufficient to prevent large language models from generating harmful information: A psychoanalytic perspective
INFAMOUS-NeRF: ImproviNg FAce MOdeling Using Semantically-Aligned Hypernetworks with Neural Radiance Fields
Filtered Manifold Alignment
Automatic Monitoring Social Dynamics During Big Incidences: A Case Study of COVID-19 in Bangladesh
Computing Vertex-Weighted Multi-Level Steiner Trees
A posteriori error analysis for a Lagrange multiplier method for a Stokes/Biot fluid-poroelastic structure interaction model
The Art of Deception: Robust Backdoor Attack using Dynamic Stacking of Triggers
An Algorithm to Solve the Equal-Sum-Product Problem
Faithful Synthesis of Low-dose Contrast-enhanced Brain MRI Scans using Noise-preserving Conditional GANs
HDDL 2.1: Towards Defining an HTN Formalism with Time
A Survey of Conventional and Artificial Intelligence / Learning based Resource Allocation and Interference Mitigation Schemes in D2D Enabled Networks
Acoustics-guided evaluation (AGE): a new measure for estimating performance of speech enhancement algorithms for robust ASR
Convolutional Sparse Coding Fast Approximation with Application to Seismic Reflectivity Estimation
Underwater Image Enhancement Based on Structure-Texture Reconstruction
BabyHGRN: Exploring RNNs for Sample-Efficient Training of Language Models
A Two-Block RNN-based Trajectory Prediction from Incomplete Trajectory
Regularization Methods for Generative Adversarial Networks: An Overview of Recent Studies
Transfer matrix analysis of one-dimensional majority cellular automata with thermal noise
Epona: Autoregressive Diffusion World Model for Autonomous Driving
Deep imagination is a close to optimal policy for planning in large decision trees under limited resources
A Hybrid Approach for Improved Content-based Image Retrieval using Segmentation
A Scaling Hypothesis for the Euclidean Bipartite Matching Problem
Learning Unified User Quantized Tokenizers for User Representation
Hierarchical Grid-Based Pairwise Key Pre-distribution in Wireless Sensor Networks
Distributed Antenna Selection for Massive MIMO using Reversing Petri Nets
GAP2WSS: A Genetic Algorithm based on the Pareto Principle for Web Service Selection
Regret Analysis of the Stochastic Direct Search Method for Blind Resource Allocation
Bicategories of automata, automata in bicategories
ZipperChain: Transmuting Trusted Third-Party Services Into Trustless Atomic Broadcast
Toward Efficient Deep Spiking Neuron Networks:A Survey On Compression
A Review of Modularization Techniques in Artificial Neural Networks
Impact of EV Charging Stations in Power Grids in Italy and its Mitigation Mechanisms
Team SheffieldVeraAI at SemEval-2023 Task 3: Mono and multilingual approaches for news genre, topic and persuasion technique classification
Emotion Recognition for Low-Resource Turkish: Fine-Tuning BERTurk on TREMO and Testing on Xenophobic Political Discourse
Graph Aggregation Prototype Learning for Semantic Change Detection in Remote Sensing