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Polynomial Regression As an Alternative to Neural Nets

13 June 2018

Papers citing "Polynomial Regression As an Alternative to Neural Nets"

25 / 25 papers shown

Title
Orbit Determination through Cosmic Microwave Background Radiation Pedro K de Albuquerque A. R. Kuroswiski Annie S Wu Willer G. dos Santos Paulo Costa 48 0 0 03 Apr 2025
Branch and Bound to Assess Stability of Regression Coefficients in Uncertain Models B. Knaeble R. M. Hughes George Rudolph Mark A. Abramson Daniel Razo 26 0 0 19 Aug 2024
A Simple Solution for Homomorphic Evaluation on Large Intervals John Chiang 93 2 0 24 May 2024
Learning Lyapunov-Stable Polynomial Dynamical Systems Through Imitation Amin Abyaneh Hsiu-Chin Lin 61 5 0 31 Oct 2023
Privacy-Preserving 3-Layer Neural Network Training Jonathan Z. Chiang 80 5 0 18 Aug 2023
A hybrid machine learning framework for clad characteristics prediction in metal additive manufacturing S. Tayebati K. Cho AI4CE 49 3 0 04 Jul 2023
Stimulative Training++: Go Beyond The Performance Limits of Residual Networks XinYu Piao Tong He DoangJoo Synn Baopu Li Tao Chen Lei Bai Jong-Kook Kim 89 4 0 04 May 2023
Activation Functions Not To Active: A Plausible Theory on Interpreting Neural Networks Jonathan Z. Chiang AI4CE 66 3 0 01 May 2023
Augmenting data-driven models for energy systems through feature engineering: A Python framework for feature engineering Sandra Wilfling 16 1 0 04 Jan 2023
Stimulative Training of Residual Networks: A Social Psychology Perspective of Loafing Peng Ye Shengji Tang Baopu Li Tao Chen Wanli Ouyang 70 13 0 09 Oct 2022
GAS: Generating Fast and Accurate Surrogate Models for Autonomous Vehicle Systems Keyur Joshi Chiao Hsieh Sayan Mitra Sasa Misailovic 93 5 0 03 Aug 2022
Bagged Polynomial Regression and Neural Networks Sylvia Klosin Jaume Vives-i-Bastida 20 0 0 17 May 2022
NN2Poly: A polynomial representation for deep feed-forward artificial neural networks Pablo Morala Jenny Alexandra Cifuentes R. Lillo Iñaki Ucar 76 6 0 21 Dec 2021
Normalized Augmented Inverse Probability Weighting with Neural Network Predictions M. Rostami O. Saarela 18 5 0 03 Aug 2021
Towards a mathematical framework to inform Neural Network modelling via Polynomial Regression Pablo Morala Jenny Alexandra Cifuentes R. Lillo Iñaki Ucar 83 34 0 07 Feb 2021
Recoding latent sentence representations -- Dynamic gradient-based activation modification in RNNs Dennis Ulmer 53 0 0 03 Jan 2021
Modern strategies for time series regression S. Clark Rob J. Hyndman D. Pagendam L. Ryan AI4TS 13 10 0 29 Oct 2020
Dropout as a Regularizer of Interaction Effects Benjamin J. Lengerich Eric Xing R. Caruana 113 7 0 02 Jul 2020
Dendrite Net: A White-Box Module for Classification, Regression, and System Identification Gang Liu Junchang Wang 70 62 0 08 Apr 2020
Rational neural networks Nicolas Boullé Y. Nakatsukasa Alex Townsend 42 80 0 04 Apr 2020
Avoiding Spurious Local Minima in Deep Quadratic Networks A. Kazemipour Brett W. Larsen S. Druckmann ODL 60 6 0 31 Dec 2019
Learning Algebraic Models of Quantum Entanglement Hamza Jaffali Luke Oeding 52 10 0 27 Aug 2019
Variations on the Chebyshev-Lagrange Activation Function Yuchen Li Frank Rudzicz Jekaterina Novikova 26 1 0 24 Jun 2019
Bayesian Neural Network Ensembles Tim Pearce Mohamed H. Zaki A. Neely BDL UQCV 52 5 0 27 Nov 2018
Uncertainty in Neural Networks: Approximately Bayesian Ensembling Tim Pearce Felix Leibfried Alexandra Brintrup Mohamed H. Zaki A. Neely BDL UQCV 90 199 0 12 Oct 2018