Bhojanapalli, Srinadh

Understanding Robustness of Transformers for Image Classification

Bhojanapalli, S., Chakrabarti, A., Glasner, D., Li, D., Unterthiner, T., & Veit, A. (2021) · 2021 IEEE/CVF International Conference on Computer Vision (ICCV)

Adversarial Robustness in Machine LearningAdvanced Neural Network Applications

Cited by 440

Implicit Regularization in Matrix Factorization

Gunasekar, S., Woodworth, B., Bhojanapalli, S., Neyshabur, B., & Srebro, N. (2018) · 2018 Information Theory and Applications Workshop (ITA)

Sparse and Compressive Sensing TechniquesStochastic Gradient Optimization Techniques

Cited by 170

Gemini 2.5: Pushing the Frontier with Advanced Reasoning, Multimodality, Long Context, and Next Generation Agentic Capabilities

Comanici, G., Bieber, E., Schaekermann, M., Pasupat, I., Sachdeva, N., Dhillon, I., Blistein, M., Ram, O., Zhang, D., Rosen, E., et al. (2025) · arXiv

Multimodal Machine Learning ApplicationsTopic Modeling

Cited by 69

Modifying Memories in Transformer Models

Zhu, C., Rawat, A. S., Zaheer, M., Bhojanapalli, S., Li, D., Yu, F., & Kumar, S. (2020) · arXiv

Topic ModelingDomain Adaptation and Few-Shot Learning

Cited by 48

Low-Rank Bottleneck in Multi-head Attention Models

Bhojanapalli, S., Yun, C., Rawat, A. S., Reddi, S. J., & Kumar, S. (2020) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 46