Ravikumar, Deepak

9 publications

TMLR 2025 Coresets from Trajectories: Selecting Data via Correlation of Loss Differences Manish Nagaraj, Deepak Ravikumar, Kaushik Roy

CVPRW 2025 Improved Out-of-Distribution Detection with Additive Angular Margin Loss Deepak Ravikumar, Efstathia Soufleri, Kaushik Roy

AAAI 2025 SAP: Corrective Machine Unlearning with Scaled Activation Projection for Label Noise Robustness Sangamesh Kodge, Deepak Ravikumar, Gobinda Saha, Kaushik Roy

ICML 2025 Towards Memorization Estimation: Fast, Formal and Free Deepak Ravikumar, Efstathia Soufleri, Abolfazl Hashemi, Kaushik Roy

NeurIPS 2024 Curvature Clues: Decoding Deep Learning Privacy with Input Loss Curvature Deepak Ravikumar, Efstathia Soufleri, Kaushik Roy

TMLR 2024 DP-ImgSyn: Dataset Alignment for Obfuscated, Differentially Private Image Synthesis Efstathia Soufleri, Deepak Ravikumar, Kaushik Roy

TMLR 2024 Homogenizing Non-IID Datasets via In-Distribution Knowledge Distillation for Decentralized Learning Deepak Ravikumar, Gobinda Saha, Sai Aparna Aketi, Kaushik Roy

ICML 2024 Memorization Through the Lens of Curvature of Loss Function Around Samples Isha Garg, Deepak Ravikumar, Kaushik Roy

ICML 2024 Unveiling Privacy, Memorization, and Input Curvature Links Deepak Ravikumar, Efstathia Soufleri, Abolfazl Hashemi, Kaushik Roy