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Janice Lan
Janice Lan
Facebook AI Research
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Title
Cited by
Cited by
Year
Plug and play language models: A simple approach to controlled text generation
S Dathathri, A Madotto, J Lan, J Hung, E Frank, P Molino, J Yosinski, ...
arXiv preprint arXiv:1912.02164, 2019
7912019
Deconstructing lottery tickets: Zeros, signs, and the supermask
H Zhou, J Lan, R Liu, J Yosinski
Advances in neural information processing systems 32, 2019
4162019
The Open Catalyst 2022 (OC22) dataset and challenges for oxide electrocatalysts
R Tran, J Lan, M Shuaibi, BM Wood, S Goyal, A Das, J Heras-Domingo, ...
ACS Catalysis 13 (5), 3066-3084, 2023
692023
LCA: Loss Change Allocation for Neural Network Training
J Lan, R Liu, H Zhou, J Yosinski
arXiv preprint arXiv:1909.01440, 2019
46*2019
Spherical channels for modeling atomic interactions
L Zitnick, A Das, A Kolluru, J Lan, M Shuaibi, A Sriram, Z Ulissi, B Wood
Advances in Neural Information Processing Systems 35, 8054-8067, 2022
362022
Adsorbml: Accelerating adsorption energy calculations with machine learning
J Lan, A Palizhati, M Shuaibi, BM Wood, B Wander, A Das, M Uyttendaele, ...
arXiv e-prints, arXiv: 2211.16486, 2022
132022
Deconstructing Lottery Tickets: Zeros
H Zhou, J Lan, R Liu, J Yosinski
Signs, and the Supermask 10, 2019
92019
AdsorbML: a leap in efficiency for adsorption energy calculations using generalizable machine learning potentials
J Lan, A Palizhati, M Shuaibi, BM Wood, B Wander, A Das, M Uyttendaele, ...
npj Computational Materials 9 (1), 172, 2023
52023
First-order preconditioning via hypergradient descent
T Moskovitz, R Wang, J Lan, S Kapoor, T Miconi, J Yosinski, A Rawal
arXiv preprint arXiv:1910.08461, 2019
52019
Deconstructing Lottery Tickets: Zeros, Signs, and the Supermask.(May 2019)
H Zhou, J Lan, R Liu, J Yosinski
URL http://arxiv. org/abs, 1905
41905
The Open Catalyst Challenge 2021: Competition Report.
A Das, M Shuaibi, A Palizhati, S Goyal, A Grover, A Kolluru, J Lan, A Rizvi, ...
NeurIPS (Competition and Demos), 29-40, 2021
22021
Predictive Uncertainty Quantification for Graph Neural Network Driven Relaxed Energy Calculations
J Musielewicz, J Lan, M Uyttendaele
NeurIPS 2023 AI for Science Workshop, 2023
2023
Chemistry Insights for Large Pretrained GNNs
K Xu, J Lan
NeurIPS 2022 AI for Science: Progress and Promises, 2022
2022
Uncovering the impact of hyperparameters for global magnitude pruning
J Lan, R Chin, A Baevski, AS Morcos
2020
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