Journal articles

  1. Ravikumar, D., Saha, G., Aketi, S. A., & Roy, K. (2024). Homogenizing Non-IID Datasets via In-Distribution Knowledge Distillation for Decentralized Learning. Transactions on Machine Learning Research. https://openreview.net/forum?id=CuyJkNjIVd
  2. Soufleri, E., Ravikumar, D., & Roy, K. (2024). DP-ImgSyn: Dataset Alignment for Obfuscated, Differentially Private Image Synthesis. Transactions on Machine Learning Research. https://openreview.net/forum?id=KleJZ9ZzYw
  3. Ravikumar, D., Kodge, S., Garg, I., & Roy, K. (2023). Intra-class mixup for out-of-distribution detection. IEEE Access, 11, 25968–25981.
  4. Ravikumar, D., Kodge, S. D., Garg, I., & Roy, K. (2022). TREND: Transferability based Robust ENsemble Design. IEEE Transactions on Artificial Intelligence.

Conference proceedings

  1. Kodge, S., Ravikumar, D., Saha, G., & Roy, K. (2025). SAP: Corrective Machine Unlearning with Scaled Activation Projection for Label Noise Robustness. The 39th Annual AAAI Conference on Artificial Intelligence.
  2. Ravikumar, D., Soufleri, E., & Roy, K. (2025). Improved Out-of-Distribution Detection with Additive Angular Margin Loss. IEEE / CVF Computer Vision and Pattern Recognition Conference Workshop (CVPR) WiCV.
  3. Ravikumar, D., Yeo, A., Zhu, Y., Lakra, A., Nagulapalli, H., Ravindran, S., Suh, S., Dutta, N., Fogarty, A., Park, Y., Khushalani, S., Tarafdar, A., Parekh, K., & Krishnan, S. (2024). Intelligent Pooling: Proactive Resource Provisioning in Large-scale Cloud Service. Proceedings of the VLDB Endowment, 17(7), 1618–1627.
  4. Garg, I., Ravikumar, D., & Roy, K. (2024). Memorization Through the Lens of Curvature of Loss Function Around Samples. Forty-First International Conference on Machine Learning. (Spotlight 3.5% Acceptance). https://openreview.net/forum?id=WQbDS9RydY
  5. Ravikumar, D., Soufleri, E., Hashemi, A., & Roy, K. (2024). Unveiling Privacy, Memorization, and Input Curvature Links. Forty-First International Conference on Machine Learning. https://openreview.net/forum?id=4dxR7awO5n
  6. Ravikumar, D., Soufleri, E., & Roy, K. (2024). Curvature Clues: Decoding Deep Learning Privacy with Input Loss Curvature. The Thirty-Eighth Annual Conference on Neural Information Processing Systems. (Spotlight  2% Acceptance). https://openreview.net/forum?id=ZEVDMQ6Mu5
  7. Deepak, R., Nayak, A. V., & Manikantan, K. (2016). Ear detection using active contour model. 2016 International Conference on Emerging Trends in Engineering, Technology and Science (ICETETS), 1–7.
  8. Deepak, R., Kallianpur, A. K., Bharath, M. V., & Shreedarshan, K. (2016). Quadrature carrier multiplexing based digital video compression. 2016 Second International Conference on Research in Computational Intelligence and Communication Networks (ICRCICN), 1–5.

Preprints

  1. Nagaraj, M., Ravikumar, D., Soufleri, E., & Roy, K. (2025). Finding the Muses: Identifying Coresets through Loss Trajectories. https://arxiv.org/abs/2503.09721
  2. Soufleri, E., Ravikumar, D., & Roy, K. (2024). Advancing Compressed Video Action Recognition through Progressive Knowledge Distillation. In arXiv preprint arXiv:2407.02713.
  3. Ravikumar, D., Soufleri, E., Hashemi, A., & Roy, K. (2024). Memorization and the Orders of Loss: A Learning Dynamics Perspective. In Submitted to The Thirteenth International Conference on Learning Representations. under review. https://openreview.net/forum?id=lTh7DEJV5W
  4. Ibrayev, T., Ravikumar, D., Nagaraj, M., Joshi, A., & Roy, K. (2024). Vis-A-ViQA: A Dataset of Task-Driven Human Visual Attention in Video Question Answering. In Submitted to CVPR 2025. under review.
  5. Ravikumar, D., & Roy, K. (2022). Norm-Scaling for Out-of-Distribution Detection. In arXiv preprint arXiv:2205.03493.