Journal articles

  1. Ravikumar, Deepak, Saha, Gobinda, Aketi, Sai Aparna, Roy, Kaushik. Homogenizing Non-IID Datasets via In-Distribution Knowledge Distillation for Decentralized Learning. TMLR 2024. (paper link).
  2. Soufleri, Efstathia, Ravikumar, Deepak, Roy, Kaushik. DP-ImgSyn: Dataset Alignment for Obfuscated, Differentially Private Image Synthesis. TMLR 2024. (paper link).
  3. Ravikumar, Deepak, Kodge, Sangamesh, Garg, Isha, Roy, Kaushik. Intra-class mixup for out-of-distribution detection. IEEE Access 2023. (paper link).
  4. Ravikumar, Deepak, Kodge, Sangamesh D, Garg, Isha, Roy, Kaushik. TREND: Transferability based Robust ENsemble Design. IEEE TAI 2022. (paper link).

Conference proceedings

  1. Kodge, Sangamesh, Ravikumar, Deepak, Saha, Gobinda, Roy, Kaushik. SAP: Corrective Machine Unlearning with Scaled Activation Projection for Label Noise Robustness. AAAI 2025. (paper link).
  2. Ravikumar, Deepak, Soufleri, Efstathia, Roy, Kaushik. Improved Out-of-Distribution Detection with Additive Angular Margin Loss. CVPRW 2025. (paper link).
  3. Ravikumar, Deepak, Soufleri, Efstathia, Hashemi, Abolfazl, Roy, Kaushik. Towards Memorization Estimation: Fast, Formal and Free. ICML 2025. (paper link).
  4. Ravikumar, Deepak, Gammell, Jimmy, Roy, Kaushik. Building Resilient AI: Strengthening Data, Security, and Robustness in Neural Networks. IOLTS 2025 (Invited).
  5. Ravikumar, Deepak, Yeo, Alex, Zhu, Yiwen, Lakra, Aditya, Nagulapalli, Harsha, Ravindran, Santhosh, Suh, Steve, Dutta, Niharika, Fogarty, Andrew, Park, Yoonjae, Khushalani, Sumeet, Tarafdar, Arijit, Parekh, Kunal, Krishnan, Subru. Intelligent Pooling: Proactive Resource Provisioning in Large-scale Cloud Service. VLDB 2024. (paper link).
  6. Garg, Isha, Ravikumar, Deepak, Roy, Kaushik. Memorization Through the Lens of Curvature of Loss Function Around Samples. ICML 2024. (paper link) (Spotlight 3.5% Acceptance).
  7. Ravikumar, Deepak, Soufleri, Efstathia, Hashemi, Abolfazl, Roy, Kaushik. Unveiling Privacy, Memorization, and Input Curvature Links. ICML 2024. (paper link).
  8. Ravikumar, Deepak, Soufleri, Efstathia, Roy, Kaushik. Curvature Clues: Decoding Deep Learning Privacy with Input Loss Curvature. NeurIPS 2024. (paper link) (Spotlight  2% Acceptance).
  9. Deepak, R, Nayak, Abhishek Vasant, Manikantan, K. Ear detection using active contour model. ICETETS 2016. (paper link).
  10. Deepak, R, Kallianpur, Akshay K, Bharath, MV, Shreedarshan, K. Quadrature carrier multiplexing based digital video compression. ICRCICN 2016. (paper link).

Preprints

  1. Nagaraj, Manish, Ravikumar, Deepak, Soufleri, Efstathia, Roy, Kaushik. Finding the Muses: Identifying Coresets through Loss Trajectories. arXiv 2025. (paper link).
  2. Ibrayev, Timur, Ravikumar, Deepak, Nagaraj, Manish, Joshi, Amogh, Roy, Kaushik. Vis-A-ViQA: A Dataset of Task-Driven Human Visual Attention in Video Question Answering. Preprint 2025.
  3. Ravikumar, Deepak, Soufleri, Efstathia, Hashemi, Abolfazl, Roy, Kaushik. Understanding Memorization with Sample Gradients: Efficient, Theoretical, Practical. Preprint 2025.
  4. Mukherjee, Amitangshu, Ravikumar, Deepak, Roy, Kaushik. From Clutter to Clarity: Visual Recognition through Foveated Object-Centric Learning (FocL). Preprint 2025.
  5. Soufleri, Efstathia, Ravikumar, Deepak, Roy, Kaushik. Advancing Compressed Video Action Recognition through Progressive Knowledge Distillation. arXiv 2024. (paper link).
  6. Ravikumar, Deepak, Roy, Kaushik. Norm-Scaling for Out-of-Distribution Detection. arXiv 2022. (paper link).