Gifford, David

8 publications

ICLR 2023 Fundamental Limits on the Robustness of Image Classifiers Zheng Dai, David Gifford

NeurIPSW 2023 Where Did You Learn That?: Tracing the Impact of Training Data with Diffusion Model Ensembles Zheng Dai, Rui-Jie Yew, David Gifford

ICLR 2022 Maximum N-Times Coverage for Vaccine Design Ge Liu, Alexander Dimitrakakis, Brandon Carter, David Gifford

NeurIPS 2021 Overinterpretation Reveals Image Classification Model Pathologies Brandon Carter, Siddhartha Jain, Jonas W Mueller, David Gifford

AAAI 2020 Maximizing Overall Diversity for Improved Uncertainty Estimates in Deep Ensembles Siddhartha Jain, Ge Liu, Jonas Mueller, David Gifford

AISTATS 2019 What Made You Do This? Understanding Black-Box Decisions with Sufficient Input Subsets Brandon Carter, Jonas Mueller, Siddhartha Jain, David Gifford

ICML 2017 Sequence to Better Sequence: Continuous Revision of Combinatorial Structures Jonas Mueller, David Gifford, Tommi Jaakkola

ICML 2016 Learning Population-Level Diffusions with Generative RNNs Tatsunori Hashimoto, David Gifford, Tommi Jaakkola