Nanophotonic particle simulation and inverse design using artificial neural networks

by Peurifoy, John, Shen, Yichen, Jing, Li, Yang, Yi, Cano-Renteria, Fidel, Delacy, Brendan, Tegmark, Max Erik, Joannopoulos, John, Soljacic, Marin
Published 2022

Nanophotonic particle simulation and inverse design using artificial neural networks

by Cano-Renteria, Fidel, Tegmark, Max, Soljacic, Marin, Joannopoulos, John D., Peurifoy, John, Shen, Yichen, Jing, Li, Yang, Yi, DeLacy, Brendan G.
Published 2021

An Amazon stingless bee foraging activity predicted using recurrent artificial neural networks and attribute selection

by Gomes, Pedro A. B., Suhara, Yoshihiko, Nunes-Silva, Patrícia, Costa, Luciano, Arruda, Helder, Venturieri, Giorgio, Imperatriz-Fonseca, Vera Lucia, Pentland, Alex, de Souza, Paulo, Pessin, Gustavo
Published 2021

Accelerating Chemical Discovery with Machine Learning: Simulated Evolution of Spin Crossover Complexes with an Artificial Neural Network

by Janet, Jon Paul, Chan, Lydia C., Kulik, Heather Janine
Published 2019

Search for supersymmetry in events with opposite-sign dileptons and missing transverse energy using an artificial neural network

by Apyan, Aram, Bauer, Gerry P., Bendavid, Joshua L., Busza, Wit, Butz, Erik M., Cali, Ivan Amos, Chan, M., Dutta, Valentina, Gomez-Ceballos, Guillelmo, Goncharov, Maxim, Kim, Y., Klute, Markus, Krajczar, Krisztian F., Levin, Andrew Michael, Luckey, P. David, Ma, T., Nahn, Steven, Paus, Christoph M. E., Ralph, Duncan Kelley, Roland, Christof E., Roland, Gunther M., Rudolph, Matthew Scott, Stephans, George S. F., Stockli, F., Sumorok, Konstanty C., Sung, K., Velicanu, Dragos Alexandru, Wenger, Edward Allen, Wolf, R., Wyslouch, Boleslaw, Yang, M., Yilmaz, Y., Yoon, A. S., Zanetti, Marco, Zhukova, Victoria
Published 2013

Fast Training of Provably Robust Neural Networks by SingleProp

by Boopathy, Akhilan, Weng, Lily, Liu, Sijia, Chen, Pin-Yu, Zhang, Gaoyuan, Daniel, Luca, Intelligence, Assoc Advancement Artificial
Published 2022

Improved Normal and Shear Tactile Force Sensor Performance via Least Squares Artificial Neural Network (LSANN)

by Chuah, Meng Yee, Kim, Sangbae
Published 2017

Planning with Learned Object Importance in Large Problem Instances using Graph Neural Networks

by Silver, Tom, Chitnis, Rohan, Curtis, Aidan, Tenenbaum, Joshua, Lozano-Perez, Tomas, Kaelbling, Leslie Pack, Intelligence, Assoc Advancement Artificial
Published 2022

SciANN: A Keras/TensorFlow wrapper for scientific computations and physics-informed deep learning using artificial neural networks

by Haghighat, Ehsan, Juanes, Ruben
Published 2021

Neural Network Training With Asymmetric Crosspoint Elements

by Onen, Murat, Gokmen, Tayfun, Todorov, Teodor K, Nowicki, Tomasz, del Alamo, Jesús A, Rozen, John, Haensch, Wilfried, Kim, Seyoung
Published 2022

POPQORN: Quantifying robustness of recurrent neural networks

by Weng, Tsui-Wei, Daniel, Luca
Published 2021

Evolving multirobot excavation controllers and choice of platforms using an artificial neural tissue paradigm

by Thangavelautham, Jekanthan, El Samid, Nader Abu, Grouchy, Paul, Earon, Ernest, Fu, Terence, Nagrani, Nagina, D'Eleuterio, Gabriele M. T.
Published 2011

Transfer learning for named-entity recognition with neural networks

by Lee, Ji Young, Dernoncourt, Franck, Szolovits, Peter
Published 2020

Fastened CROWN: Tightened Neural Network Robustness Certificates

by Lyu, Zhaoyang, Ko, Ching-Yun, Kong, Zhifeng, Wong, Ngai, Lin, Dahua, Daniel, Luca
Published 2022

Do deep neural networks suffer from crowding?

by Volokitin, Anna, Roig, Gemma, Poggio, Tomaso
Published 2022

Fisher-rao metric, geometry, and complexity of neural networks

by Liang, T, Poggio, T, Rakhlin, A, Stokes, J
Published 2021

Towards robust interpretability with self-explaining neural networks

by Jaakkola, Tommi, Alvarez Melis, David
Published 2021

Do deep neural networks suffer from crowding?

by Poggio, Tomaso, Roig, Gemma
Published 2021

De-identification of patient notes with recurrent neural networks

by Dernoncourt, Franck, Lee, Ji Young, Uzuner, Ozlem, Szolovits, Peter
Published 2017

Enhancing Evolutionary Couplings with Deep Convolutional Neural Networks

by Liu, Yang, Ye, Qing, Peng, Jian, Palmedo, Peter Franklin, Berger Leighton, Bonnie
Published 2018