
Kartikey Sharma
postdoctoral researcher at ZIB since September 2020office | Room 3027 at ZIB |
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kartikey.sharma (at) zib.de | |
homepage | kartikeyrinwa.github.io |
languages | Hindi and English |
🎓 Academic Background
Feb 2020 | Ph.D. in Industrial Engineering at Northwestern |
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May 2014 | B.Tech. in Process Engineering at IITR |
M.Sc. in Industrial Engineering at Northwestern |
🔬 Research
Preprints
- Wäldchen, S., Sharma, K., Zimmer, M., Turan, B., and Pokutta, S. (2022). Merlin-Arthur Classifiers: Formal Interpretability with Interactive Black Boxes.
[arXiv]
[BibTeX]
@misc{wszp_merlinarthur_22, archiveprefix = {arXiv}, eprint = {2206.00759}, primaryclass = {cs.LG}, year = {2022}, author = {Wäldchen, Stephan and Sharma, Kartikey and Zimmer, Max and Turan, Berkant and Pokutta, Sebastian}, title = {Merlin-Arthur Classifiers: Formal Interpretability with Interactive Black Boxes} }
Full articles
- Kevin-Martin, A., Bärmann, A., Kristin, B., Liers, F., Pokutta, S., Schneider, O., Sharma, K., and Tschuppik, S. (2023). Data-driven Distributionally Robust Optimization Over Time. INFORMS Journal on Optimization.
[arXiv]
[BibTeX]
@article{abblpsst_distributionally_ro_23, year = {2023}, journal = {INFORMS Journal on Optimization}, archiveprefix = {arXiv}, eprint = {2304.05377}, primaryclass = {math.OC}, author = {Kevin-Martin, Aigner and Bärmann, Andreas and Kristin, Braun and Liers, Frauke and Pokutta, Sebastian and Schneider, Oskar and Sharma, Kartikey and Tschuppik, Sebastian}, title = {Data-driven Distributionally Robust Optimization Over Time} }
- Kossen, T., Hirzel, M. A., Madai, V. I., Boenisch, F., Hennemuth, A., Hildebrand, K., Pokutta, S., Sharma, K., Hilbert, A., Sobesky, J., Galinovic, I., Khalil, A. A., Fiebach, J. B., and Frey, D. (2022). Towards Sharing Brain Images: Differentially Private TOF-MRA Images with Segmentation Labels Using Generative Adversarial Networks. Frontiers in Artificial Intelligence.
DOI: 10.3389/frai.2022.813842
[BibTeX]
@article{khmbhhpshsgkff_22, year = {2022}, journal = {Frontiers in Artificial Intelligence}, doi = {10.3389/frai.2022.813842}, author = {Kossen, Tabea and Hirzel, Manuel A. and Madai, Vince I. and Boenisch, Franziska and Hennemuth, Anja and Hildebrand, Kristian and Pokutta, Sebastian and Sharma, Kartikey and Hilbert, Adam and Sobesky, Jan and Galinovic, Ivana and Khalil, Ahmed A. and Fiebach, Jochen B. and Frey, Dietmar}, title = {Towards Sharing Brain Images: Differentially Private TOF-MRA Images with Segmentation Labels Using Generative Adversarial Networks} }
- Nohadani, O., and Sharma, K. (2022). Optimization Under Connected Uncertainty. INFORMS Journal on Optimization.
DOI: 10.1287/ijoo.2021.0067
[BibTeX]
@article{nk_connected_un_22, year = {2022}, journal = {INFORMS Journal on Optimization}, doi = {10.1287/ijoo.2021.0067}, author = {Nohadani, Omid and Sharma, Kartikey}, title = {Optimization Under Connected Uncertainty} }
💬 Talks and posters
Conference and workshop talks
- Mar 2023
- Workshop on Optimization and Machine Learning, Waischenfeld
- Dec 2022
- MATH+ Spotlight Talk, Berlin [PDF]
- Oct 2022
- INFORMS Annual Meeting, Online [PDF]
- Sep 2022
- DMV Annual Meeting, Berlin [PDF]
- Jul 2022
- ICCOPT, Bethlehem, USA [PDF]
View More / Less
- Jun 2022
- SIG Presentation, MSOM, Munich [PDF]
- Oct 2021
- INFORMS Annual Meeting, Online [PDF]
- Oct 2019
- INFORMS Annual Meeting, Seattle [PDF]
- Nov 2018
- INFORMS Annual Meeting, Phoenix [PDF]
- Jul 2018
- ISMP, Bordeaux [PDF]
- Oct 2017
- INFORMS Annual Meeting, Houston [PDF]
- Jul 2017
- IFORS, Québec City, Canada [PDF]
- May 2017
- NEMFEST, Atlanta, USA [PDF]
- Nov 2016
- INFORMS Annual Meeting, Nashville [PDF]