A. Ross

发表

Tackling Climate Change with Machine Learning pdf

Yoshua Bengio, Demis Hassabis, David Rolnick, 2019, ACM Comput. Surv..

Right for the Right Reasons: Training Differentiable Models by Constraining their Explanations

Andrew Slavin Ross, Finale Doshi-Velez, Michael C. Hughes, 2017, IJCAI.

Generating interpretable predictions about antidepressant treatment stability using supervised topic models

Michael C. Hughes, Finale Doshi-Velez, A. Ross, 2020 .

Assessment of a Prediction Model for Antidepressant Treatment Stability Using Supervised Topic Models

Michael C. Hughes, Finale Doshi-Velez, A. Ross, 2020, JAMA network open.

Benchmarks, Algorithms, and Metrics for Hierarchical Disentanglement

Finale Doshi-Velez, A. Ross, F. Doshi-Velez, 2021, ICML.

Improving the Adversarial Robustness and Interpretability of Deep Neural Networks by Regularizing their Input Gradients

Andrew Slavin Ross, Finale Doshi-Velez, Finale Doshi-Velez, 2017, AAAI.

Learning Predictive and Interpretable Timeseries Summaries from ICU Data pdf

Finale Doshi-Velez, Sonali Parbhoo, Andrew Slavin Ross, 2021, AMIA.

Human-in-the-Loop Interpretability Prior

Samuel J. Gershman, Finale Doshi-Velez, Been Kim, 2018, NeurIPS.

Improving counterfactual reasoning with kernelised dynamic mixing models

Andrew Slavin Ross, Volker Roth, Finale Doshi-Velez, 2018, PloS one.

Improving Sepsis Treatment Strategies by Combining Deep and Kernel-Based Reinforcement Learning

Andrew Slavin Ross, Finale Doshi-Velez, Li-Wei H. Lehman, 2018, AMIA.

Ensembles of Locally Independent Prediction Models

Finale Doshi-Velez, L. Celi, A. Ross, 2019, AAAI.

Learning Qualitatively Diverse and Interpretable Rules for Classification pdf

Andrew Slavin Ross, Finale Doshi-Velez, Weiwei Pan, 2018, ArXiv.

Evaluating the Interpretability of Generative Models by Interactive Reconstruction

Elena L. Glassman, Finale Doshi-Velez, Nina Chen, 2021, CHI.

Design Continuums and the Path Toward Self-Designing Key-Value Stores that Know and Learn

David Li, Stratos Idreos, Niv Dayan, 2019, CIDR.

Training Machine Learning Models by Regularizing their Explanations pdf

Andrew Slavin Ross, A. Ross, 2018, ArXiv.

Learning Key-Value Store Design pdf

Andrew Slavin Ross, Stratos Idreos, Niv Dayan, 2019, ArXiv.