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Ankita Shukla

Assistant Professor, Computer Science and Engineering

Open to new collaborations

Research interests

Computer Vision Deep Learning Large Language Models Geometric Methods in Deep Learning

Recent publications

The ten most recent from their Google Scholar profile, newest first.

  1. On the design and evaluation of generative models in high energy density physics

    A Shukla, Y Mubarka, R Anirudh, E Kur, D Mariscal, B Djordjevic, .... Communications Physics 8 (1), 14 , 2025. 2025

    2 citations

  2. Topological persistence guided knowledge distillation for wearable sensor data

    ES Jeon, H Choi, A Shukla, Y Wang, H Lee, MP Buman, P Turaga. Engineering Applications of Artificial Intelligence 130, 107719 , 2024. 2024

    14 citations

  3. Robustness of topological persistence in knowledge distillation for wearable sensor data

    ES Jeon, H Choi, A Shukla, Y Wang, MP Buman, H Lee, P Turaga. EPJ Data Science 13 (1), 77 , 2024. 2024

    2 citations

  4. On the impact of pre-training datasets for matching dendritic identifiers using residual nets

    B Jhaj, A Shukla, P Turaga, M Kozicki. Proceedings of the International Workshop on Artificial Intelligence for … , 2024. 2024

  5. Orthogonality and graph divergence losses promote disentanglement in generative models

    A Shukla, R Dadhich, R Singh, A Rayas, P Saidi, G Dasarathy, V Berisha, .... Frontiers in Computer Science 6, 1274779 , 2024. 2024

  6. Polynomial Implicit Neural Representations For Large Diverse Datasets

    R Singh, A Shukla, P Turaga. Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern … , 2023. 2023

    48 citations

  7. Understanding the Role of Mixup in Knowledge Distillation: An Empirical Study

    H Choi, ES Jeon, A Shukla, P Turaga. Proceedings of the IEEE/CVF Winter Conference on Applications of Computer … , 2023. 2023

    22 citations

  8. Improving Shape Awareness and Interpretability in Deep Networks Using Geometric Moments

    R Singh, A Shukla, P Turaga. Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern … , 2023. 2023

    12 citations

  9. Scene graph driven text-prompt generation for image inpainting

    T Shukla, P Maheshwari, R Singh, A Shukla, K Kulkarni, P Turaga. Proceedings of the IEEE/CVF conference on computer vision and pattern … , 2023. 2023

    11 citations

  10. Leveraging angular distributions for improved knowledge distillation

    ES Jeon, H Choi, A Shukla, P Turaga. Neurocomputing 518, 466-481 , 2023. 2023

    9 citations

All publications on Google Scholar