Sarkar, Anirban

8 publications

ICLRW 2025 Understanding DNA Discrete Diffusion for Engineering Regulatory DNA Sequences Anirban Sarkar, Yijie Kang, Nirali Somia, Peter K Koo

NeurIPSW 2024 Designing DNA with Tunable Regulatory Activity Using Discrete Diffusion Anirban Sarkar, Ziqi Tang, Chris Z Zhao, Peter K Koo

CVPR 2022 A Framework for Learning Ante-Hoc Explainable Models via Concepts Anirban Sarkar, Deepak Vijaykeerthy, Anindya Sarkar, Vineeth N Balasubramanian

WACV 2022 Leveraging Test-Time Consensus Prediction for Robustness Against Unseen Noise Anindya Sarkar, Anirban Sarkar, Vineeth N Balasubramanian

NeurIPS 2021 Adversarial Robustness Without Adversarial Training: A Teacher-Guided Curriculum Learning Approach Anindya Sarkar, Anirban Sarkar, Sowrya Gali, Vineeth N Balasubramanian

AAAI 2021 Enhanced Regularizers for Attributional Robustness Anindya Sarkar, Anirban Sarkar, Vineeth N. Balasubramanian

ICML 2019 Neural Network Attributions: A Causal Perspective Aditya Chattopadhyay, Piyushi Manupriya, Anirban Sarkar, Vineeth N Balasubramanian

WACV 2018 Grad-CAM++: Generalized Gradient-Based Visual Explanations for Deep Convolutional Networks Aditya Chattopadhyay, Anirban Sarkar, Prantik Howlader, Vineeth N. Balasubramanian