Andrew Slavin Ross

PhD student, Harvard University

Joined

November 2019

Names

Andrew Slavin Ross (Preferred)

Emails

****@g.harvard.edu (Confirmed)

****@gmail.com (Confirmed)

Personal Links

Homepage

Google Scholar

DBLP

Career & Education History

PhD student

Harvard University (harvard.edu)

2018 – Present

Advisors, Relations & Conflicts

No relations added

Expertise

No areas of expertise listed

Publications

Benchmarks, Algorithms, and Metrics for Hierarchical Disentanglement
Andrew Slavin Ross, Finale Doshi-Velez
- 2021 (modified: 03 Nov 2022)
- CoRR 2021
- Readers: Everyone
Evaluating the Interpretability of Generative Models by Interactive Reconstruction
Andrew Slavin Ross, Nina Chen, Elisa Zhao Hang, Elena L. Glassman, Finale Doshi-Velez
- 2021 (modified: 03 Nov 2022)
- CoRR 2021
- Readers: Everyone
Improving Sepsis Treatment Strategies by Combining Deep and Kernel-Based Reinforcement Learning.
Xuefeng Peng, Yi Ding, David Wihl, Omer Gottesman, Matthieu Komorowski, Li-Wei H. Lehman, Andrew Slavin Ross, Aldo Faisal, Finale Doshi-Velez
- 2019 (modified: 09 Nov 2022)
- CoRR2019
- Readers: Everyone
Tackling Climate Change with Machine Learning.
David Rolnick, Priya L. Donti, Lynn H. Kaack, Kelly Kochanski, Alexandre Lacoste, Kris Sankaran, Andrew Slavin Ross, Nikola Milojevic-Dupont, Natasha Jaques, Anna Waldman-Brown, Alexandra Luccioni, Tegan Maharaj, Evan D. Sherwin, S. Karthik Mukkavilli, Konrad P. Körding, Carla Gomes, Andrew Y. Ng, Demis Hassabis, John C. Platt, Felix Creutzig et al. (2 additional authors not shown)
- 2019 (modified: 09 Nov 2022)
- CoRR2019
- Readers: Everyone
Ensembles of Locally Independent Prediction Models.
Andrew Slavin Ross, Weiwei Pan, Leo Anthony Celi, Finale Doshi-Velez
- 2019 (modified: 09 Nov 2022)
- CoRR2019
- Readers: Everyone
Improving the Adversarial Robustness and Interpretability of Deep Neural Networks by Regularizing Their Input Gradients
Andrew Slavin Ross, Finale Doshi-Velez
- 2018 (modified: 16 Jul 2019)
- AAAI 2018
- Readers: Everyone
Human-in-the-Loop Interpretability Prior
Isaac Lage, Andrew Slavin Ross, Samuel J. Gershman, Been Kim, Finale Doshi-Velez
- 2018 (modified: 11 Nov 2022)
- NeurIPS 2018
- Readers: Everyone
Learning Qualitatively Diverse and Interpretable Rules for Classification.
Andrew Slavin Ross, Weiwei Pan, Finale Doshi-Velez
- 2018 (modified: 09 Nov 2022)
- CoRR2018
- Readers: Everyone
Training Machine Learning Models by Regularizing their Explanations.
Andrew Slavin Ross
- 2018 (modified: 09 Nov 2022)
- CoRR2018
- Readers: Everyone
Right for the Right Reasons: Training Differentiable Models by Constraining their Explanations
Andrew Slavin Ross, Michael C. Hughes, Finale Doshi-Velez
- 2017 (modified: 10 Nov 2022)
- IJCAI 2017
- Readers: Everyone

Co-Authors

View all 38 co-authors