What happens to BERT embeddings during fine-tuning? A Merchant, E Rahimtoroghi, E Pavlick, I Tenney arXiv preprint arXiv:2004.14448, 2020 | 164 | 2020 |
Scaling deep learning for materials discovery A Merchant, S Batzner, SS Schoenholz, M Aykol, G Cheon, ED Cubuk Nature 624 (7990), 80-85, 2023 | 147 | 2023 |
An autonomous laboratory for the accelerated synthesis of novel materials NJ Szymanski, B Rendy, Y Fei, RE Kumar, T He, D Milsted, MJ McDermott, ... Nature 624 (7990), 86-91, 2023 | 72 | 2023 |
Velo: Training versatile learned optimizers by scaling up L Metz, J Harrison, CD Freeman, A Merchant, L Beyer, J Bradbury, ... arXiv preprint arXiv:2211.09760, 2022 | 43 | 2022 |
Constitutional dimensions of predictive algorithms in criminal justice M Brenner, JS Gersen, M Haley, M Lin, A Merchant, RJ Millett, SK Sarkar, ... Harv. CR-CLL Rev. 55, 267, 2020 | 28 | 2020 |
Learn2hop: Learned optimization on rough landscapes A Merchant, L Metz, SS Schoenholz, ED Cubuk International Conference on Machine Learning, 7643-7653, 2021 | 13 | 2021 |
Does data augmentation benefit from split batchnorms A Merchant, B Zoph, ED Cubuk arXiv preprint arXiv:2010.07810, 2020 | 12 | 2020 |
Scalable diffusion for materials generation M Yang, KH Cho, A Merchant, P Abbeel, D Schuurmans, I Mordatch, ... arXiv preprint arXiv:2311.09235, 2023 | 7 | 2023 |
Universal Causal Evaluation Engine: An API for empirically evaluating causal inference models A Lin, A Merchant, SK Sarkar, A D’Amour The 2019 ACM SIGKDD Workshop on Causal Discovery, 50-58, 2019 | 5 | 2019 |
Accurate Prediction of Experimental Band Gaps from Large Language Model-Based Data Extraction SJ Yang, S Li, S Venugopalan, V Tshitoyan, M Aykol, A Merchant, ... arXiv preprint arXiv:2311.13778, 2023 | 1 | 2023 |
Predicting Properties of Amorphous Solids with Graph Network Potentials M Aykol, JN Wei, S Batzner, A Merchant, ED Cubuk 1st Workshop on the Synergy of Scientific and Machine Learning Modeling …, 2023 | 1 | 2023 |
Predicting emergence of crystals from amorphous matter with deep learning M Aykol, A Merchant, S Batzner, JN Wei, ED Cubuk arXiv preprint arXiv:2310.01117, 2023 | | 2023 |
Optimization using learned neural network optimizers ED Cubuk, LS Metz, SS Schoenholz, AA Merchant US Patent App. 17/665,457, 2022 | | 2022 |
Strided Transformers for Partially-Parallelized Inference A Merchant, ED Cubuk, S Ermon | | |