@inproceedings{kishore2021fixed,title={Fixed Neural Network Steganography: Train the images, not the network},author={Kishore, Varsha and Chen, Xiangyu and Wang, Yan and Li, Boyi and Weinberger, Kilian Q},booktitle={International Conference on Learning Representations},acronym={ICLR},year={2021},}
Bertscore: Evaluating text generation with bert
Tianyi Zhang, Varsha Kishore, Felix Wu, Kilian Q Weinberger, and Yoav Artzi
In International Conference on Learning Representations (ICLR), 2019.
@inproceedings{zhang2019bertscore,title={Bertscore: Evaluating text generation with bert},author={Zhang, Tianyi and Kishore, Varsha and Wu, Felix and Weinberger, Kilian Q and Artzi, Yoav},booktitle={International Conference on Learning Representations},acronym={ICLR},year={2019},}
Learning Iterative Neural Optimizers for Image Steganography
Varsha Kishore, Xiangyu Chen, and Kilian Q Weinberger
In International Conference on Learning Representations (ICLR), 2022.
@inproceedings{chen2023learning,title={Learning Iterative Neural Optimizers for Image Steganography},author={Kishore, Varsha and Chen, Xiangyu and Weinberger, Kilian Q},booktitle={International Conference on Learning Representations},acronym={ICLR},year={2022},}
Harnessing interpretable and unsupervised machine learning to address big data from modern X-ray diffraction
Jordan Venderley, Krishnanand Mallayya, Michael Matty, Matthew Krogstad, Jacob Ruff, and
6 more authors
Proceedings of the National Academy of Sciences , 2022.
@article{venderley2022harnessing,title={Harnessing interpretable and unsupervised machine learning to address big data from modern X-ray diffraction},author={Venderley, Jordan and Mallayya, Krishnanand and Matty, Michael and Krogstad, Matthew and Ruff, Jacob and Pleiss, Geoff and Kishore, Varsha and Mandrus, David and Phelan, Daniel and Poudel, Lekhanath and others},journal={Proceedings of the National Academy of Sciences},volume={119},number={24},pages={e2109665119},year={2022},publisher={National Acad Sciences},}