All paper pages
28734 retained paper pages. Page 126 of 288.
- Fuzzing Hardware Like Software
Timothy Trippel, Kang G. Shin, Alex Chernyakhovsky, Garret Kelly, Dominic Rizzo, Matthew Hicks · 2021
- Understanding the Capabilities, Limitations, and Societal Impact of Large Language Models
Alex Tamkin, Miles Brundage, Jack Clark, Deep Ganguli · 2021
- ML-Doctor: Holistic Risk Assessment of Inference Attacks Against Machine Learning Models
Yugeng Liu, Rui Wen, Xinlei He, Ahmed Salem, Zhikun Zhang, Michael Backes, Emiliano De Cristofaro, Mario Fritz, Yang Zhang · 2021
- Regenerating Soft Robots through Neural Cellular Automata
Kazuya Horibe, Kathryn Walker, Sebastian Risi · 2021
- Sovereign Smartphone: To Enjoy Freedom We Have to Control Our Phones
Friederike Groschupp, Moritz Schneider, Ivan Puddu, Shweta Shinde, Srdjan Capkun · 2021
- Im2Vec: Synthesizing Vector Graphics without Vector Supervision
Pradyumna Reddy, Michael Gharbi, Michal Lukac, Niloy J. Mitra · 2021
- Undecidability of Underfitting in Learning Algorithms
Sonia Sehra, David Flores, George D. Montanez · 2021
- 1-bit Adam: Communication Efficient Large-Scale Training with Adam's Convergence Speed
Hanlin Tang, Shaoduo Gan, Ammar Ahmad Awan, Samyam Rajbhandari, Conglong Li, Xiangru Lian, Ji Liu, Ce Zhang, Yuxiong He · 2021
- A Formal Proof of the Independence of the Continuum Hypothesis
Jesse Michael Han, Floris van Doorn · 2021
- Hyperparameter Optimization Is Deceiving Us, and How to Stop It
A. Feder Cooper, Yucheng Lu, Jessica Zosa Forde, Christopher De Sa · 2021
- Smart Proofs via Smart Contracts: Succinct and Informative Mathematical Derivations via Decentralized Markets
Sylvain Carré, Franck Gabriel, Clément Hongler, Gustavo Lacerda, Gloria Capano · 2021
- CF-GNNExplainer: Counterfactual Explanations for Graph Neural Networks
Ana Lucic, Maartje ter Hoeve, Gabriele Tolomei, Maarten de Rijke, Fabrizio Silvestri · 2021
- On the Reproducibility of Neural Network Predictions
Srinadh Bhojanapalli, Kimberly Wilber, Andreas Veit, Ankit Singh Rawat, Seungyeon Kim, Aditya Menon, Sanjiv Kumar · 2021
- Positioning in 5G networks
Satyam Dwivedi, Ritesh Shreevastav, Florent Munier, Johannes Nygren, Iana Siomina, Yazid Lyazidi, Deep Shrestha, Gustav Lindmark, Per Ernström, Erik Stare, Sara M. Razavi, Siva Muruganathan, Gino Masini, Åke Busin, Fredrik Gunnarsson · 2021
- Symbolic Behaviour in Artificial Intelligence
Adam Santoro, Andrew Lampinen, Kory Mathewson, Timothy Lillicrap, David Raposo · 2021
- Consequences of Misaligned AI
Simon Zhuang, Dylan Hadfield-Menell · 2021
- Nyströmformer: A Nyström-Based Algorithm for Approximating Self-Attention
Yunyang Xiong, Zhanpeng Zeng, Rudrasis Chakraborty, Mingxing Tan, Glenn Fung, Yin Li, Vikas Singh · 2021
- $\scriptstyle{BASALT}$: A Rock-Solid Foundation for Epidemic Consensus Algorithms in Very Large, Very Open Networks
Alex Auvolat, Yérom-David Bromberg, Davide Frey, François Taïani · 2021
- Learning Curve Theory
Marcus Hutter · 2021
- Bias Out-of-the-Box: An Empirical Analysis of Intersectional Occupational Biases in Popular Generative Language Models
Hannah Kirk, Yennie Jun, Haider Iqbal, Elias Benussi, Filippo Volpin, Frederic A. Dreyer, Aleksandar Shtedritski, Yuki M. Asano · 2021
- Learning the exchange-correlation functional from nature with fully differentiable density functional theory
Muhammad F. Kasim, Sam M. Vinko · 2021
- TransUNet: Transformers Make Strong Encoders for Medical Image Segmentation
Jieneng Chen, Yongyi Lu, Qihang Yu, Xiangde Luo, Ehsan Adeli, Yan Wang, Le Lu, Alan L. Yuille, Yuyin Zhou · 2021
- Realization of a multi-node quantum network of remote solid-state qubits
Matteo Pompili, Sophie L. N. Hermans, Simon Baier, Hans K. C. Beukers, Peter C. Humphreys, Raymond N. Schouten, Raymond F. L. Vermeulen, Marijn J. Tiggelman, Laura dos Santos Martins, Bas Dirkse, Stephanie Wehner, Ronald Hanson · 2021
- A* Search Without Expansions: Learning Heuristic Functions with Deep Q-Networks
Forest Agostinelli, Shahaf S. Shperberg, Alexander Shmakov, Stephen McAleer, Roy Fox, Pierre Baldi · 2021
- Quantum Technologies: A Review of the Patent Landscape
Mathew Alex · 2021
- Native Type Theory
Christian Williams, Michael Stay · 2021
- The Factory Must Grow: Automation in Factorio
Kenneth N. Reid, Iliya Miralavy, Stephen Kelly, Wolfgang Banzhaf, Cedric Gondro · 2021
- Erdos-Hajnal for graphs with no 5-hole
Maria Chudnovsky, Alex Scott, Paul Seymour, Sophie Spirkl · 2021
- NOELLE Offers Empowering LLVM Extensions
Angelo Matni, Enrico Armenio Deiana, Yian Su, Lukas Gross, Souradip Ghosh, Sotiris Apostolakis, Ziyang Xu, Zujun Tan, Ishita Chaturvedi, David I. August, Simone Campanoni · 2021
- Is Space-Time Attention All You Need for Video Understanding?
Gedas Bertasius, Heng Wang, Lorenzo Torresani · 2021
- Decontextualization: Making Sentences Stand-Alone
Eunsol Choi, Jennimaria Palomaki, Matthew Lamm, Tom Kwiatkowski, Dipanjan Das, Michael Collins · 2021
- Patterns, predictions, and actions: A story about machine learning
Moritz Hardt, Benjamin Recht · 2021
- Argmax Flows and Multinomial Diffusion: Learning Categorical Distributions
Emiel Hoogeboom, Didrik Nielsen, Priyank Jaini, Patrick Forré, Max Welling · 2021
- No Evidence for Orbital Clustering in the Extreme Trans-Neptunian Objects
K. J. Napier, D. W. Gerdes, Hsing Wen Lin, S. J. Hamilton, G. M. Bernstein, P. H. Bernardinelli, T. M. C. Abbott, M. Aguena, J. Annis, S. Avila, D. Bacon, E. Bertin, D. Brooks, D. L. Burke, A. Carnero Rosell, M. Carrasco Kind, J. Carretero, M. Costanzi, L. N. da Costa, J. De Vicente, H. T. Diehl, P. Doel, S. Everett, I. Ferrero, P. Fosalba, J. García Bellido, D. Gruen, R. A. Gruendl, G. Gutierrez, D. L. Hollowood, K. Honscheid, B. Hoyle, D. J. James, S. Kent, K. Kuehn, N. Kuropatkin, M. A. G. Maia, F. Menanteau, R. Miquel, R. Morgan, A. Palmese, F. Paz-Chinchón, A. A. Plazas, E. Sanchez, V. Scarpine, S. Serrano, I. Sevilla-Noarbe, M. Smith, E. Suchyta, M. E. C. Swanson, C. To, A. R. Walker, R. D. Wilkinson · 2021
- Customizing Contextualized Language Models forLegal Document Reviews
Shohreh Shaghaghian, Luna, Feng, Borna Jafarpour, Nicolai Pogrebnyakov · 2021
- Scaling Up Visual and Vision-Language Representation Learning With Noisy Text Supervision
Chao Jia, Yinfei Yang, Ye Xia, Yi-Ting Chen, Zarana Parekh, Hieu Pham, Quoc V. Le, Yunhsuan Sung, Zhen Li, Tom Duerig · 2021
- BlockHammer: Preventing RowHammer at Low Cost by Blacklisting Rapidly-Accessed DRAM Rows
Abdullah Giray Yağlıkçı, Minesh Patel, Jeremie S. Kim, Roknoddin Azizi, Ataberk Olgun, Lois Orosa, Hasan Hassan, Jisung Park, Konstantinos Kanellopoulos, Taha Shahroodi, Saugata Ghose, Onur Mutlu · 2021
- High-Mobility p-Channel Wide Bandgap Transistors Based on h-BN/Diamond Heterostructures
Yosuke Sasama, Taisuke Kageura, Masataka Imura, Kenji Watanabe, Takashi Taniguchi, Takashi Uchihashi, Yamaguchi Takahide · 2021
- Reinforcement Learning For Constraint Satisfaction Game Agents (15-Puzzle, Minesweeper, 2048, and Sudoku)
Anav Mehta · 2021
- Making Paper Reviewing Robust to Bid Manipulation Attacks
Ruihan Wu, Chuan Guo, Felix Wu, Rahul Kidambi, Laurens van der Maaten, Kilian Q. Weinberger · 2021
- Exponential suppression of bit or phase flip errors with repetitive error correction
Zijun Chen, Kevin J. Satzinger, Juan Atalaya, Alexander N. Korotkov, Andrew Dunsworth, Daniel Sank, Chris Quintana, Matt McEwen, Rami Barends, Paul V. Klimov, Sabrina Hong, Cody Jones, Andre Petukhov, Dvir Kafri, Sean Demura, Brian Burkett, Craig Gidney, Austin G. Fowler, Harald Putterman, Igor Aleiner, Frank Arute, Kunal Arya, Ryan Babbush, Joseph C. Bardin, Andreas Bengtsson, Alexandre Bourassa, Michael Broughton, Bob B. Buckley, David A. Buell, Nicholas Bushnell, Benjamin Chiaro, Roberto Collins, William Courtney, Alan R. Derk, Daniel Eppens, Catherine Erickson, Edward Farhi, Brooks Foxen, Marissa Giustina, Jonathan A. Gross, Matthew P. Harrigan, Sean D. Harrington, Jeremy Hilton, Alan Ho, Trent Huang, William J. Huggins, L. B. Ioffe, Sergei V. Isakov, Evan Jeffrey, Zhang Jiang, Kostyantyn Kechedzhi, Seon Kim, Fedor Kostritsa, David Landhuis, Pavel Laptev, Erik Lucero, Orion Martin, Jarrod R. McClean, Trevor McCourt, Xiao Mi, Kevin C. Miao, Masoud Mohseni, Wojciech Mruczkiewicz, Josh Mutus, Ofer Naaman, Matthew Neeley, Charles Neill, Michael Newman, Murphy Yuezhen Niu, Thomas E. O'Brien, Alex Opremcak, Eric Ostby, Bálint Pató, Nicholas Redd, Pedram Roushan, Nicholas C. Rubin, Vladimir Shvarts, Doug Strain, Marco Szalay, Matthew D. Trevithick, Benjamin Villalonga, Theodore White, Z. Jamie Yao, Ping Yeh, Adam Zalcman, Hartmut Neven, Sergio Boixo, Vadim Smelyanskiy, Yu Chen, Anthony Megrant, Julian Kelly · 2021
- High-Performance Large-Scale Image Recognition Without Normalization
Andrew Brock, Soham De, Samuel L. Smith, Karen Simonyan · 2021
- Efficient neural networks for real-time modeling of analog dynamic range compression
Christian J. Steinmetz, Joshua D. Reiss · 2021
- Proof Artifact Co-training for Theorem Proving with Language Models
Jesse Michael Han, Jason Rute, Yuhuai Wu, Edward W. Ayers, Stanislas Polu · 2021
- Why Don't Developers Detect Improper Input Validation?'; DROP TABLE Papers; --
Larissa Braz, Enrico Fregnan, Gül Çalikli, Alberto Bacchelli · 2021
- A Large Batch Optimizer Reality Check: Traditional, Generic Optimizers Suffice Across Batch Sizes
Zachary Nado, Justin M. Gilmer, Christopher J. Shallue, Rohan Anil, George E. Dahl · 2021
- Dynamic Precision Analog Computing for Neural Networks
Sahaj Garg, Joe Lou, Anirudh Jain, Mitchell Nahmias · 2021
- On the Paradox of Certified Training
Nikola Jovanović, Mislav Balunović, Maximilian Baader, Martin Vechev · 2021
- Discovery of Options via Meta-Learned Subgoals
Vivek Veeriah, Tom Zahavy, Matteo Hessel, Zhongwen Xu, Junhyuk Oh, Iurii Kemaev, Hado van Hasselt, David Silver, Satinder Singh · 2021
- Introducing Physical Warp Drives
Alexey Bobrick, Gianni Martire · 2021
- Euclidean Affine Functions and Applications to Calendar Algorithms
Cassio Neri, Lorenz Schneider · 2021
- Reasoning Over Virtual Knowledge Bases With Open Predicate Relations
Haitian Sun, Pat Verga, Bhuwan Dhingra, Ruslan Salakhutdinov, William W. Cohen · 2021
- NeRF--: Neural Radiance Fields Without Known Camera Parameters
Zirui Wang, Shangzhe Wu, Weidi Xie, Min Chen, Victor Adrian Prisacariu · 2021
- TransGAN: Two Pure Transformers Can Make One Strong GAN, and That Can Scale Up
Yifan Jiang, Shiyu Chang, Zhangyang Wang · 2021
- Prompt Programming for Large Language Models: Beyond the Few-Shot Paradigm
Laria Reynolds, Kyle McDonell · 2021
- On the Value of Wikipedia as a Gateway to the Web
Tiziano Piccardi, Miriam Redi, Giovanni Colavizza, Robert West · 2021
- DOBF: A Deobfuscation Pre-Training Objective for Programming Languages
Baptiste Roziere, Marie-Anne Lachaux, Marc Szafraniec, Guillaume Lample · 2021
- How RL Agents Behave When Their Actions Are Modified
Eric D. Langlois, Tom Everitt · 2021
- On dark stars, Planck cores and the nature of dark matter
Igor Nikitin · 2021
- Experimental Tests of Invariant Set Theory
Jonte R. Hance, Tim N. Palmer, John Rarity · 2021
- Flat Maps that improve on the Winkel Tripel
J. Richard Gott, David M. Goldberg, Robert J. Vanderbei · 2021
- Differentially Private Quantiles
Jennifer Gillenwater, Matthew Joseph, Alex Kulesza · 2021
- Persephone: A Pluto-System Orbiter and Kuiper Belt Explorer
Carly Howett, Stuart Robbins, Bryan J. Holler, Amanda Hendrix, Karl Fielhauer, Mark Perry, Fazle Siddique, Clint Apland, James Leary, S. Alan Stern, Heather Elliott, Francis Nimmo, Simon B. Porter, Silvia Protopapa, Kelsi N. Singer, Orenthal J. Tucker, Anne J. Verbiscer, Bruce Andrews, Stewart Bushman, Adam Crifasi, Doug Crowley, Clint Edwards, Carolyn M. Ernst, Blair Fonville, David Frankford, Dan Gallagher, Mark Holdridge, Jack Hunt, J. J. Kavelaars, Chris Krupiarz, Jimmy Kuhn, William McKinnon, Hari Nair, David Napolillo, Jon Pineau, Jani Radebaugh, Rachel Sholder, John Spencer, Adam Thodey, Samantha Walters, Bruce Williams, Robert J. Wilson, Leslie A. Young · 2021
- Domain Name Encryption Is Not Enough: Privacy Leakage via IP-based Website Fingerprinting
Nguyen Phong Hoang, Arian Akhavan Niaki, Phillipa Gill, Michalis Polychronakis · 2021
- Faster Kernel Matrix Algebra via Density Estimation
Arturs Backurs, Piotr Indyk, Cameron Musco, Tal Wagner · 2021
- The Collapse of the Hilbert Program: A Variation on the Gödelian Theme
Saul A. Kripke · 2021
- Social Bots and Social Media Manipulation in 2020: The Year in Review
Ho-Chun Herbert Chang, Emily Chen, Meiqing Zhang, Goran Muric, Emilio Ferrara · 2021
- LambdaNetworks: Modeling Long-Range Interactions Without Attention
Irwan Bello · 2021
- Extended Wigner's friend problem and the internal consistency of standard quantum mechanics
D. Sokolovski, A. Matzkin · 2021
- User Tracking in the Post-cookie Era: How Websites Bypass GDPR Consent to Track Users
Emmanouil Papadogiannakis, Panagiotis Papadopoulos, Nicolas Kourtellis, Evangelos P. Markatos · 2021
- Deep Learning for Market by Order Data
Zihao Zhang, Bryan Lim, Stefan Zohren · 2021
- Mobile Computational Photography: A Tour
Mauricio Delbracio, Damien Kelly, Michael S. Brown, Peyman Milanfar · 2021
- SeaPearl: A Constraint Programming Solver guided by Reinforcement Learning
Félix Chalumeau, Ilan Coulon, Quentin Cappart, Louis-Martin Rousseau · 2021
- Theory meets Practice at the Median: a worst case comparison of relative error quantile algorithms
Graham Cormode, Abhinav Mishra, Joseph Ross, Pavel Veselý · 2021
- The CNAME of the Game: Large-scale Analysis of DNS-based Tracking Evasion
Yana Dimova, Gunes Acar, Lukasz Olejnik, Wouter Joosen, Tom Van Goethem · 2021
- Combinatorial optimization and reasoning with graph neural networks
Quentin Cappart, Didier Chételat, Elias Khalil, Andrea Lodi, Christopher Morris, Petar Veličković · 2021
- Deep Gait Recognition: A Survey
Alireza Sepas-Moghaddam, Ali Etemad · 2021
- Generative Speech Coding with Predictive Variance Regularization
W. Bastiaan Kleijn, Andrew Storus, Michael Chinen, Tom Denton, Felicia S. C. Lim, Alejandro Luebs, Jan Skoglund, Hengchin Yeh · 2021
- Improved Denoising Diffusion Probabilistic Models
Alex Nichol, Prafulla Dhariwal · 2021
- WebRED: Effective Pretraining And Finetuning For Relation Extraction On The Web
Robert Ormandi, Mohammad Saleh, Erin Winter, Vinay Rao · 2021
- Calibrate Before Use: Improving Few-Shot Performance of Language Models
Tony Z. Zhao, Eric Wallace, Shi Feng, Dan Klein, Sameer Singh · 2021
- Training Neural Networks is $\exists\mathbb R$-complete
Mikkel Abrahamsen, Linda Kleist, Tillmann Miltzow · 2021
- Tail Modulo Cons
Frédéric Bour, Basile Clément, Gabriel Scherer · 2021
- Neural Kalman Filtering
Beren Millidge, Alexander Tschantz, Anil Seth, Christopher Buckley · 2021
- Inductive logic programming at 30
Andrew Cropper, Sebastijan Dumančić, Richard Evans, Stephen H. Muggleton · 2021
- Abstraction and Analogy-Making in Artificial Intelligence
Melanie Mitchell · 2021
- Conditional Positional Encodings for Vision Transformers
Xiangxiang Chu, Zhi Tian, Bo Zhang, Xinlong Wang, Chunhua Shen · 2021
- A Relational Tsetlin Machine with Applications to Natural Language Understanding
Rupsa Saha, Ole-Christoffer Granmo, Vladimir I. Zadorozhny, Morten Goodwin · 2021
- Kindergarden quantum mechanics graduates (...or how I learned to stop gluing LEGO together and love the ZX-calculus)
Bob Coecke, Dominic Horsman, Aleks Kissinger, Quanlong Wang · 2021
- Transport Services: A Modern API for an Adaptive Internet Transport Layer
Michael Welzl, Safiqul Islam, Michael Gundersen, Andreas Fischer · 2021
- Towards Causal Representation Learning
Bernhard Schölkopf, Francesco Locatello, Stefan Bauer, Nan Rosemary Ke, Nal Kalchbrenner, Anirudh Goyal, Yoshua Bengio · 2021
- Gravitational redshifting of galaxies in the SPIDERS cluster catalogue
C. T. Mpetha, C. A. Collins, N. Clerc, A. Finoguenov, J. A. Peacock, J. Comparat, D. Schneider, R. Capasso, S. Damsted, K. Furnell, A. Merloni, N. D. Padilla, A. Saro · 2021
- Linear Transformers Are Secretly Fast Weight Programmers
Imanol Schlag, Kazuki Irie, Jürgen Schmidhuber · 2021
- Silent Data Corruptions at Scale
Harish Dattatraya Dixit, Sneha Pendharkar, Matt Beadon, Chris Mason, Tejasvi Chakravarthy, Bharath Muthiah, Sriram Sankar · 2021
- Practical Mutation Testing at Scale
Goran Petrović, Marko Ivanković, Gordon Fraser, René Just · 2021
- Spacetime Harmonic Functions and Applications to Mass
Hubert Bray, Sven Hirsch, Demetre Kazaras, Marcus Khuri, Yiyue Zhang · 2021
- Anytime Sampling for Autoregressive Models via Ordered Autoencoding
Yilun Xu, Yang Song, Sahaj Garg, Linyuan Gong, Rui Shu, Aditya Grover, Stefano Ermon · 2021
- Exact epidemic models from a tensor product formulation
Wout Merbis · 2021
- Projected sensitivities of the LUX-ZEPLIN (LZ) experiment to new physics via low-energy electron recoils
The LZ Collaboration, D. S. Akerib, A. K. Al Musalhi, S. K. Alsum, C. S. Amarasinghe, A. Ames, T. J. Anderson, N. Angelides, H. M. Araújo, J. E. Armstrong, M. Arthurs, X. Bai, J. Balajthy, S. Balashov, J. Bang, J. W. Bargemann, D. Bauer, A. Baxter, P. Beltrame, E. P. Bernard, A. Bernstein, A. Bhatti, A. Biekert, T. P. Biesiadzinski, H. J. Birch, G. M. Blockinger, E. Bodnia, B. Boxer, C. A. J. Brew, P. Brás, S. Burdin, J. K. Busenitz, M. Buuck, R. Cabrita, M. C. Carmona-Benitez, M. Cascella, C. Chan, N. I. Chott, A. Cole, M. V. Converse, A. Cottle, G. Cox, O. Creaner, J. E. Cutter, C. E. Dahl, L. de Viveiros, J. E. Y. Dobson, E. Druszkiewicz, S. R. Eriksen, A. Fan, S. Fayer, N. M. Fearon, S. Fiorucci, H. Flaecher, E. D. Fraser, T. Fruth, R. J. Gaitskell, J. Genovesi, C. Ghag, E. Gibson, S. Gokhale, M. G. D. van der Grinten, C. B. Gwilliam, C. R. Hall, C. A. Hardy, S. J. Haselschwardt, S. A. Hertel, M. Horn, D. Q. Huang, C. M. Ignarra, O. Jahangir, R. S. James, W. Ji, J. Johnson, A. C. Kaboth, A. C. Kamaha, K. Kamdin, K. Kazkaz, D. Khaitan, A. Khazov, I. Khurana, D. Kodroff, L. Korley, E. V. Korolkova, H. Kraus, S. Kravitz, L. Kreczko, B. Krikler, V. A. Kudryavtsev, E. A. Leason, J. Lee, D. S. Leonard, K. T. Lesko, C. Levy, J. Li, J. Liao, A. Lindote, R. Linehan, W. H. Lippincott, X. Liu, M. I. Lopes, E. Lopez Asamar, B. López Paredes, W. Lorenzon, S. Luitz, P. A. Majewski, A. Manalaysay, L. Manenti, R. L. Mannino, N. Marangou, M. E. McCarthy, D. N. McKinsey, J. McLaughlin, E. H. Miller, E. Mizrachi, A. Monte, M. E. Monzani, J. A. Morad, J. D. Morales Mendoza, E. Morrison, B. J. Mount, A. St. J. Murphy, D. Naim, A. Naylor, C. Nedlik, H. N. Nelson, F. Neves, J. A. Nikoleyczik, A. Nilima, A. Nguyen, I. Olcina, K. C. Oliver-Mallory, S. Pal, K. J. Palladino, J. Palmer, S. Patton, N. Parveen, E. K. Pease, B. Penning, G. Pereira, A. Piepke, Y. Qie, J. Reichenbacher, C. A. Rhyne, A. Richards, Q. Riffard, G. R. C. Rischbieter, R. Rosero, P. Rossiter, D. Santone, A. B. M. R. Sazzad, R. W. Schnee, P. R. Scovell, S. Shaw, T. A. Shutt, J. J. Silk, C. Silva, R. Smith, M. Solmaz, V. N. Solovov, P. Sorensen, J. Soria, I. Stancu, A. Stevens, K. Stifter, B. Suerfu, T. J. Sumner, N. Swanson, M. Szydagis, W. C. Taylor, R. Taylor, D. J. Temples, P. A. Terman, D. R. Tiedt, M. Timalsina, W. H. To, D. R. Tovey, M. Tripathi, D. R. Tronstad, W. Turner, U. Utku, A. Vaitkus, B. Wang, J. J. Wang, W. Wang, J. R. Watson, R. C. Webb, R. G. White, T. J. Whitis, M. Williams, F. L. H. Wolfs, D. Woodward, C. J. Wright, X. Xiang, J. Xu, M. Yeh, P. Zarzhitsky · 2021
- Three Ways to Solve Partial Differential Equations with Neural Networks -- A Review
Jan Blechschmidt, Oliver G. Ernst · 2021