Andrew Ross
Andrew Ross
PhD student, Harvard University
Verified email at - Homepage
Cited by
Cited by
Improving the Adversarial Robustness and Interpretability of Deep Neural Networks by Regularizing their Input Gradients
AS Ross, F Doshi-Velez
Thirty-Second AAAI Conference on Artificial Intelligence, 1660-1669, 2017
Right for the Right Reasons: Training Differentiable Models by Constraining their Explanations
AS Ross, MC Hughes, Doshi-Velez, Finale
Proceedings of the Twenty-Sixth International Joint Conference on Artificial …, 2017
Tackling Climate Change with Machine Learning
D Rolnick, PL Donti, LH Kaack, K Kochanski, A Lacoste, K Sankaran, ...
arXiv preprint arXiv:1906.05433 [cs, stat], 2019
Human-in-the-loop interpretability prior
I Lage, A Ross, SJ Gershman, B Kim, F Doshi-Velez
Advances in neural information processing systems, 10159-10168, 2018
Design Continuums and the Path Toward Self-Designing Key-Value Stores that Know and Learn.
S Idreos, N Dayan, W Qin, M Akmanalp, S Hilgard, A Ross, J Lennon, ...
CIDR, 2019
Improving sepsis treatment strategies by combining deep and kernel-based reinforcement learning
X Peng, Y Ding, D Wihl, O Gottesman, M Komorowski, LH Lehman, ...
AMIA Annual Symposium Proceedings 2018, 887, 2018
Hydrodynamic irreversibility in particle suspensions with nonuniform strain
JS Guasto, AS Ross, JP Gollub
Physical Review E 81 (6), 061401, 2010
The neural lasso: Local linear sparsity for interpretable explanations
A Ross, I Lage, F Doshi-Velez
Workshop on Transparent and Interpretable Machine Learning in Safety …, 2017
Learning qualitatively diverse and interpretable rules for classification
AS Ross, W Pan, F Doshi-Velez
arXiv preprint arXiv:1806.08716, 2018
Improving counterfactual reasoning with kernelised dynamic mixing models
S Parbhoo, O Gottesman, AS Ross, M Komorowski, A Faisal, I Bon, ...
PloS one 13 (11), e0205839, 2018
Ensembles of Locally Independent Prediction Models.
AS Ross, W Pan, LA Celi, F Doshi-Velez
AAAI, 5527-5536, 2020
Learning Key-Value Store Design
S Idreos, N Dayan, W Qin, M Akmanalp, S Hilgard, A Ross, J Lennon, ...
arXiv preprint arXiv:1907.05443, 2019
Refactoring Machine Learning
AS Ross, JZ Forde
NeurIPS 2018 Workshop on Critiquing and Correcting Trends in Machine Learning, 2018
Assessment of a Prediction Model for Antidepressant Treatment Stability Using Supervised Topic Models
MC Hughes, MF Pradier, AS Ross, TH McCoy, RH Perlis, F Doshi-Velez
JAMA Network Open 3 (5), e205308-e205308, 2020
Generating interpretable predictions about antidepressant treatment stability using supervised topic models
MC Hughes, MF Pradier, AS Ross, TH McCoy, RH Perlis, F Doshi-Velez
medRxiv, 2020
Controlled Direct Effect Priors for Bayesian Neural Networks
J Du, AS Ross, Y Shavit, F Doshi-Velez
NeurIPS 2019 Workshop on Bayesian Deep Learning, 2019
Training Machine Learning Models by Regularizing their Explanations
AS Ross
arXiv preprint arXiv:1810.00869, 2018
CS265 Final Project: LSM-tree gradient descent
M Akmanalp, AS Hilgard, A Ross
The Compression and Concentration of Classical and Quantum Information
A Ross, P Love
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