Foto von Olga Saukh

Olga Saukh

bak. Assoc.Prof. Dr.rer.nat., MSc

 https://orcid.org/0000-0001-7849-3368
20132024

Publikationen pro Jahr

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Suchergebnisse

  • 2024

    DataComp: In search of the next generation of multimodal datasets

    Yitzhak Gadre, S., Ilharco, G., Fang, A., Hayase, J., Smyrnis, G., Nguyen, T., Marten, R., Wortsman, M., Ghosh, D., Zhang, J., Orgad, E., Entezari, R., Daras, G., Pratt, S., Ramanujan, V., Bitton, Y., Marathe, K., Mussmann, S., Vencu, R. & Cherti, M. &14 mehr, Krishna, R., Wei Koh, P., Saukh, O., Ratner, A., Song, S., Hajishirzi, H., Farhadi, A., Beaumont, R., Oh, S., G. Dimakis, A., Jitsev, J., Carmon, Y., Shankar, V. & Schmidt, L., 30 Mai 2024, NIPS '23: Proceedings of the 37th International Conference on Neural Information Processing Systems. S. 27092 - 27112 21 S. 1179. (Advances in Neural Information Processing Systems; Band 36).

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    Open Access
  • 2023

    REPAIR: REnormalizing Permuted Activations for Interpolation Repair

    Jordan, K., Sedghi, H., Saukh, O., Entezari, R. & Neyshabur, B., 20 Jan. 2023, The Eleventh International Conference on Learning Representations.

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    Open Access
  • 2022

    Challenges of Integration and Validation of Farm and Sensor Data for Dairy Herd Management

    Schodl, K., Fuerst-Waltl, B., Schwarzenbacher, H., Steininger, F., Suntinger, M., Papst, F., Saukh, O., Lemmens, L. & Egger-Danner, C., 2022, Share. Connect. Transform. Sharing Solutions on Digital Transformation, Animal Welfare and Environmental Sustainability to Support Global Food Security. Proceedings of the 45th ICAR Annual Conference.

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  • Deep Neural Network Pruning for Nuclei Instance Segmentation in Hematoxylin & Eosin-Stained Histological Images

    Mahbod, A., Entezari, R., Ellinger, I. & Saukh, O., 16 Sept. 2022, Applications of Medical Artificial Intelligence. AMAI 2022. S. 108 - 117 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Band 13540).

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  • To Share or Not to Share: On Location Privacy in IoT Sensor Data

    Papst, F., Stricker, N., Entezari, R. & Saukh, O., 4 Mai 2022, Proceedings - 7th ACM/IEEE Conference on Internet of Things Design and Implementation, IoTDI 2022. IEEE, S. 128-140 13 S. (Proceedings - 7th ACM/IEEE Conference on Internet of Things Design and Implementation, IoTDI 2022).

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  • 2021

    Compensating Altered Sensitivity of Duty-Cycled MOX Gas Sensors with Machine Learning

    Gherman, M.-P., Cheng, Y., Gomez, A. & Saukh, O., 2021, 2021 18th IEEE International Conference on Sensing, Communication and Networking, SECON 2021. 9 S. 9491586

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  • 2020

    PhD Forum Abstract: Understanding Deep Model Compression for IoT Devices

    Entezari, R. & Saukh, O., 21 Apr. 2020, Proceedings - 2020 19th ACM/IEEE International Conference on Information Processing in Sensor Networks, IPSN 2020. S. 385-386 2 S. 9110987. (Proceedings - 2020 19th ACM/IEEE International Conference on Information Processing in Sensor Networks, IPSN 2020).

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  • 2019

    Deep and Efficient Impact Models for Edge Characterization and Control of Energy Events

    Stamatescu, G., Entezari, R., Römer, K. U. & Saukh, O., 2019, 2019 IEEE 25th International Conference on Parallel and Distributed Systems (ICPADS). IEEE, 8 S.

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