no code implementations • 25 Apr 2022 • Peter Henderson, Ben Chugg, Brandon Anderson, Kristen Altenburger, Alex Turk, John Guyton, Jacob Goldin, Daniel E. Ho
This approach has the potential to improve audit efficacy, while maintaining policy-relevant estimates of the tax gap.
no code implementations • 28 Oct 2021 • Pawel Gniewek, Bradley Worley, Kate Stafford, Henry van den Bedem, Brandon Anderson
In drug discovery, structure-based virtual high-throughput screening (vHTS) campaigns aim to identify bioactive ligands or "hits" for therapeutic protein targets from docked poses at specific binding sites.
1 code implementation • 29 May 2021 • Ben Chugg, Brandon Anderson, Seiji Eicher, Sandy Lee, Daniel E. Ho
Much environmental enforcement in the United States has historically relied on either self-reported data or physical, resource-intensive, infrequent inspections.
1 code implementation • 17 Mar 2021 • Caleb Robinson, Anthony Ortiz, Juan M. Lavista Ferres, Brandon Anderson, Daniel E. Ho
For instance, in rural settings, the pre-construction area may look similar to the surrounding environment until the building is constructed.
3 code implementations • 7 Dec 2020 • Raphael J. L. Townshend, Martin Vögele, Patricia Suriana, Alexander Derry, Alexander Powers, Yianni Laloudakis, Sidhika Balachandar, Bowen Jing, Brandon Anderson, Stephan Eismann, Risi Kondor, Russ B. Altman, Ron O. Dror
We implement several classes of three-dimensional molecular learning methods for each of these tasks and show that they consistently improve performance relative to methods based on one- and two-dimensional representations.
1 code implementation • 13 Aug 2020 • Lars A. Bratholm, Will Gerrard, Brandon Anderson, Shaojie Bai, Sunghwan Choi, Lam Dang, Pavel Hanchar, Addison Howard, Guillaume Huard, Sanghoon Kim, Zico Kolter, Risi Kondor, Mordechai Kornbluth, Youhan Lee, Youngsoo Lee, Jonathan P. Mailoa, Thanh Tu Nguyen, Milos Popovic, Goran Rakocevic, Walter Reade, Wonho Song, Luka Stojanovic, Erik H. Thiede, Nebojsa Tijanic, Andres Torrubia, Devin Willmott, Craig P. Butts, David R. Glowacki, Kaggle participants
The rise of machine learning (ML) has created an explosion in the potential strategies for using data to make scientific predictions.
Ranked #1 on NMR J-coupling on QM9
3 code implementations • ICML 2020 • Alexander Bogatskiy, Brandon Anderson, Jan T. Offermann, Marwah Roussi, David W. Miller, Risi Kondor
We present a neural network architecture that is fully equivariant with respect to transformations under the Lorentz group, a fundamental symmetry of space and time in physics.
2 code implementations • NeurIPS 2019 • Brandon Anderson, Truong-Son Hy, Risi Kondor
We propose Cormorant, a rotationally covariant neural network architecture for learning the behavior and properties of complex many-body physical systems.
2 code implementations • ICLR 2018 • Risi Kondor, Hy Truong Son, Horace Pan, Brandon Anderson, Shubhendu Trivedi
Most existing neural networks for learning graphs address permutation invariance by conceiving of the network as a message passing scheme, where each node sums the feature vectors coming from its neighbors.