| Gap-filling eddy covariance methane fluxes: Comparison of machine learning model predictions and uncertainties at FLUXNET-CH4 wetlands J Irvin, S Zhou, G McNicol, F Lu, V Liu, E Fluet-Chouinard, Z Ouyang, ... Agricultural and Forest Meteorology 308, 108528, 2021 | 65 | 2021 |
| Dabs: A domain-agnostic benchmark for self-supervised learning A Tamkin, V Liu, R Lu, D Fein, C Schultz, N Goodman arXiv preprint arXiv:2111.12062, 2021 | 38 | 2021 |
| DABS 2.0: Improved datasets and algorithms for universal self-supervision A Tamkin, G Banerjee, M Owda, V Liu, S Rammoorthy, N Goodman Advances in Neural Information Processing Systems 35, 38358-38372, 2022 | 12 | 2022 |
| Recurrent Control Nets for Deep Reinforcement Learning V Liu, A Adeniji, N Lee, J Zhao, M Srouji arXiv preprint arXiv:1901.01994, 2019 | 2 | 2019 |
| Sequence-to-Sequence Generative Argumentative Dialogue Systems with Self-Attention A Adeniji, N Lee, V Liu Stanford University, 2019 | 1 | 2019 |
| FLUXNET Methane Synthesis: Modeling Wetland Methane Fluxes from Sites to the Globe G McNicol, E Fluet-Chouinard, Z Zhang, J Irvin, S Zhou, F Lu, A Kondrich, ... AGU Fall Meeting Abstracts 2019, B13O-2502, 2019 | | 2019 |
