Neural Lithography: Close the Design-to-Manufacturing Gap in
Computational Optics with a 'Real2Sim' Learned Photolithography Simulator

Neural Lithography: Close the Design-to-Manufacturing Gap in Computational Optics with a 'Real2Sim' Learned Photolithography Simulator

29 September 2023

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Papers citing "Neural Lithography: Close the Design-to-Manufacturing Gap in Computational Optics with a 'Real2Sim' Learned Photolithography Simulator"

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Title
Waveguide Holography: Towards True 3D Holographic Glasses C. Jang Kiseung Bang Minseok Chae Byoun-gkil Lee Douglas Lanman 44 12 0 04 Nov 2022
Large Scale Mask Optimization Via Convolutional Fourier Neural Operator and Litho-Guided Self Training Haoyu Yang Zong-Yi Li K. Sastry S. Mukhopadhyay Anima Anandkumar Brucek Khailany Vivek Singh Haoxing Ren 37 8 0 08 Jul 2022
Infrared Invisible Clothing:Hiding from Infrared Detectors at Multiple Angles in Real World Xiaopei Zhu Zhan Hu Siyuan Huang Jianmin Li Xiaolin Hu AAML 57 56 0 12 May 2022
Time-multiplexed Neural Holography: A flexible framework for holographic near-eye displays with fast heavily-quantized spatial light modulators Suyeon Choi Manu Gopakumar Yifan Peng Peng Jonghyun Kim Matthew O'Toole Gordon Wetzstein 38 66 0 05 May 2022
Generic Lithography Modeling with Dual-band Optics-Inspired Neural Networks Haoyu Yang Zong-Yi Li K. Sastry S. Mukhopadhyay M. Kilgard Anima Anandkumar Brucek Khailany Vivek Singh Haoxing Ren 47 31 0 12 Mar 2022
CodedStereo: Learned Phase Masks for Large Depth-of-field Stereo Shiyu Tan Yichen Wu Shoou-I Yu Ashok Veeraraghavan 104 18 0 09 Apr 2021
Fourier Neural Operator for Parametric Partial Differential Equations Zong-Yi Li Nikola B. Kovachki Kamyar Azizzadenesheli Burigede Liu K. Bhattacharya Andrew M. Stuart Anima Anandkumar AI4CE 516 2,456 0 18 Oct 2020
$Single-shot Hyperspectral-Depth Imaging with Learned Diffractive Optics$ Single-shot Hyperspectral-Depth Imaging with Learned Diffractive Optics Seung-Hwan Baek H. Ikoma D. S. Jeon Yuqi Li Wolfgang Heidrich Gordon Wetzstein Min H. Kim MDE 50 84 0 01 Sep 2020
Aleatoric and Epistemic Uncertainty in Machine Learning: An Introduction to Concepts and Methods Eyke Hüllermeier Willem Waegeman PER UD 260 1,432 0 21 Oct 2019
Kornia: an Open Source Differentiable Computer Vision Library for PyTorch F. Mokhayeri Dmytro Mishkin Daniel Ponsa Ethan Rublee Gary R. Bradski VLM AI4TS 157 356 0 05 Oct 2019
Blending Diverse Physical Priors with Neural Networks Yunhao Ba Guangyuan Zhao A. Kadambi PINN AI4CE 33 32 0 01 Oct 2019
Deep Optics for Single-shot High-dynamic-range Imaging Christopher A. Metzler H. Ikoma Yifan Peng Gordon Wetzstein 78 160 0 01 Aug 2019
Categorical Reparameterization with Gumbel-Softmax Eric Jang S. Gu Ben Poole BDL 367 5,390 0 03 Nov 2016
Automatic differentiation in machine learning: a survey A. G. Baydin Barak A. Pearlmutter Alexey Radul J. Siskind PINN AI4CE ODL 179 2,824 0 20 Feb 2015
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 2.1K 150,433 0 22 Dec 2014