Goswami, Mayank

10 publications

TMLR 2025 A Theoretical Study of Neural Network Expressive Power via Manifold Topology Jiachen Yao, Lingjie Yi, Mayank Goswami, Chao Chen

ICLR 2023 Learning to Segment from Noisy Annotations: A Spatial Correction Approach Jiachen Yao, Yikai Zhang, Songzhu Zheng, Mayank Goswami, Prateek Prasanna, Chao Chen

ICLRW 2023 On the Existence of a Trojaned Twin Model Songzhu Zheng, Yikai Zhang, Lu Pang, Weimin Lyu, Mayank Goswami, Anderson Schneider, Yuriy Nevmyvaka, Haibin Ling, Chao Chen

AISTATS 2022 A Manifold View of Adversarial Risk Wenjia Zhang, Yikai Zhang, Xiaoling Hu, Mayank Goswami, Chao Chen, Dimitris N. Metaxas

UAI 2022 Stability of SGD: Tightness Analysis and Improved Bounds Yikai Zhang, Wenjia Zhang, Sammy Bald, Vamsi Pingali, Chao Chen, Mayank Goswami

ICLR 2021 Learning with Feature-Dependent Label Noise: A Progressive Approach Yikai Zhang, Songzhu Zheng, Pengxiang Wu, Mayank Goswami, Chao Chen

NeurIPS 2021 Topological Detection of Trojaned Neural Networks Songzhu Zheng, Yikai Zhang, Hubert Wagner, Mayank Goswami, Chao Chen

NeurIPS 2020 A Topological Filter for Learning with Label Noise Pengxiang Wu, Songzhu Zheng, Mayank Goswami, Dimitris Metaxas, Chao Chen

ICML 2020 Error-Bounded Correction of Noisy Labels Songzhu Zheng, Pengxiang Wu, Aman Goswami, Mayank Goswami, Dimitris Metaxas, Chao Chen

ICCV 2013 Geometric Registration Based on Distortion Estimation Wei Zeng, Mayank Goswami, Feng Luo, Xianfeng Gu