Andrew Ross
Andrew Ross
PhD student, Harvard University
Verified email at g.harvard.edu - Homepage
Title
Cited by
Cited by
Year
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
2882017
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
2352017
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
202*2019
Human-in-the-loop interpretability prior
I Lage, AS Ross, B Kim, SJ Gershman, F Doshi-Velez
arXiv preprint arXiv:1805.11571, 2018
642018
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
312018
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
272019
Hydrodynamic irreversibility in particle suspensions with nonuniform strain
JS Guasto, AS Ross, JP Gollub
Physical Review E 81 (6), 061401, 2010
212010
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
92017
Learning qualitatively diverse and interpretable rules for classification
AS Ross, W Pan, F Doshi-Velez
arXiv preprint arXiv:1806.08716, 2018
72018
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
62018
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
42020
Ensembles of Locally Independent Prediction Models
A Ross, W Pan, L Celi, F Doshi-Velez
Proceedings of the AAAI Conference on Artificial Intelligence 34 (04), 5527-5536, 2020
42020
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
22019
Evaluating the Interpretability of Generative Models by Interactive Reconstruction
A Ross, N Chen, EZ Hang, EL Glassman, F Doshi-Velez
Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems …, 2021
12021
Benchmarks, Algorithms, and Metrics for Hierarchical Disentanglement
AS Ross, F Doshi-Velez
arXiv preprint arXiv:2102.05185, 2021
12021
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
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
2019
Refactoring Machine Learning
AS Ross, JZ Forde
NeurIPS 2018 Workshop on Critiquing and Correcting Trends in Machine Learning, 2018
2018
Training Machine Learning Models by Regularizing their Explanations
AS Ross
arXiv preprint arXiv:1810.00869, 2018
2018
CS265 Final Project: LSM-tree gradient descent
M Akmanalp, AS Hilgard, A Ross
2017
The system can't perform the operation now. Try again later.
Articles 1–20