SOTAVerified

Parameter Prediction

Papers

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Showing 1–25 of 51 papers

TitleStatusHype
OmniESI: A unified framework for enzyme-substrate interaction prediction with progressive conditional deep learningCode1
Adam assisted Fully informed Particle Swarm Optimzation ( Adam-FIPSO ) based Parameter Prediction for the Quantum Approximate Optimization Algorithm (QAOA)—0
Synthesis of discrete-continuous quantum circuits with multimodal diffusion modelsCode2
Machine Learning Models for Soil Parameter Prediction Based on Satellite, Weather, Clay and Yield DataCode1
Artificial Intelligence in Reactor Physics: Current Status and Future Prospects—0
BCDDM: Branch-Corrected Denoising Diffusion Model for Black Hole Image Generation—0
Deep-BrownConrady: Prediction of Camera Calibration and Distortion Parameters Using Deep Learning and Synthetic Data—0
Machine Learning-Enabled Multidimensional Data Utilization Through Multi-Resonance Architecture: A Pathway to Enhanced Accuracy in Biosensing—0
Deep learning and whole-brain networks for biomarker discovery: modeling the dynamics of brain fluctuations in resting-state and cognitive tasksCode0
Multi-QuAD: Multi-Level Quality-Adaptive Dynamic Network for Reliable Multimodal Classification—0
Locate n' Rotate: Two-stage Openable Part Detection with Foundation Model PriorsCode0
Stellar parameter prediction and spectral simulation using machine learning—0
Towards Precision in Bolted Joint Design: A Preliminary Machine Learning-Based Parameter Prediction—0
PreF3R: Pose-Free Feed-Forward 3D Gaussian Splatting from Variable-length Image Sequence—0
Novel View Acoustic Parameter Estimation—0
Accelerating Learned Video Compression via Low-Resolution Representation Learning—0
Brain-Inspired Spike Echo State Network Dynamics for Aero-Engine Intelligent Fault Prediction—0
Optimal Kernel Tuning Parameter Prediction using Deep Sequence Models—0
Graph Learning for Parameter Prediction of Quantum Approximate Optimization Algorithm—0
Minimally Supervised Learning using Topological Projections in Self-Organizing Maps—0
TaskBench: Benchmarking Large Language Models for Task AutomationCode6
Enhancing Deep Neural Network Training Efficiency and Performance through Linear Prediction—0
Controlling Geometric Abstraction and Texture for Artistic ImagesCode1
DyPP: Dynamic Parameter Prediction to Accelerate Convergence of Variational Quantum Algorithms—0
Forest Parameter Prediction by Multiobjective Deep Learning of Regression Models Trained with Pseudo-Target ImputationCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1GHN-2Classification Accuracy (BN-free)36.8—Unverified