Sreyas Mohan

According to our database, Sreyas Mohan authored at least 16 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Taming Mode Collapse in Score Distillation for Text-to-3D Generation.

Peihao Wang, Dejia Xu, Zhiwen Fan, Dilin Wang, Sreyas Mohan, Forrest N. Iandola, Rakesh Ranjan, Yilei Li, Qiang Liu, Zhangyang Wang, Vikas Chandra

CoRR, 2024

SteinDreamer: Variance Reduction for Text-to-3D Score Distillation via Stein Identity.

Peihao Wang, Zhiwen Fan, Dejia Xu, Dilin Wang, Sreyas Mohan, Forrest N. Iandola, Rakesh Ranjan, Yilei Li, Qiang Liu, Zhangyang Wang, Vikas Chandra

CoRR, 2024

2023

Evaluating Unsupervised Denoising Requires Unsupervised Metrics.

Adria Marcos-Morales, Matan Leibovich, Sreyas Mohan, Joshua Lawrence Vincent, Piyush Haluai, Mai Tan, Peter A. Crozier, Carlos Fernandez-Granda

Proceedings of the International Conference on Machine Learning, 2023

MMG-Ego4D: Multi-Modal Generalization in Egocentric Action Recognition.

Xinyu Gong, Sreyas Mohan, Naina Dhingra, Jean-Charles Bazin, Yilei Li, Zhangyang Wang, Rakesh Ranjan

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

Deep Denoising for Scientific Discovery: A Case Study in Electron Microscopy.

Sreyas Mohan, Ramon Manzorro, Joshua L. Vincent, Binh Tang, Dev Yashpal Sheth, Eero P. Simoncelli, David S. Matteson, Peter A. Crozier, Carlos Fernandez-Granda

IEEE Trans. Computational Imaging, 2022

Deep Probability Estimation.

Sheng Liu, Aakash Kaku, Weicheng Zhu, Matan Leibovich, Sreyas Mohan, Boyang Yu, Haoxiang Huang, Laure Zanna, Narges Razavian, Jonathan Niles-Weed, Carlos Fernandez-Granda

Proceedings of the International Conference on Machine Learning, 2022

2021

Deep Probability Estimation.

Sheng Liu, Aakash Kaku, Weicheng Zhu, Matan Leibovich, Sreyas Mohan, Boyang Yu, Laure Zanna, Narges Razavian, Carlos Fernandez-Granda

CoRR, 2021

Adaptive Denoising via GainTuning.

Sreyas Mohan, Joshua L. Vincent, Ramon Manzorro, Peter A. Crozier, Carlos Fernandez-Granda, Eero P. Simoncelli

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Unsupervised Deep Video Denoising.

Dev Yashpal Sheth, Sreyas Mohan, Joshua L. Vincent, Ramon Manzorro, Peter A. Crozier, Mitesh M. Khapra, Eero P. Simoncelli, Carlos Fernandez-Granda

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Perturbation CheckLists for Evaluating NLG Evaluation Metrics.

Ananya B. Sai, Tanay Dixit, Dev Yashpal Sheth, Sreyas Mohan, Mitesh M. Khapra

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

2020

Be Like Water: Robustness to Extraneous Variables Via Adaptive Feature Normalization.

Aakash Kaku, Sreyas Mohan, Avinash Parnandi, Heidi M. Schambra, Carlos Fernandez-Granda

CoRR, 2020

Robust And Interpretable Blind Image Denoising Via Bias-Free Convolutional Neural Networks.

Sreyas Mohan, Zahra Kadkhodaie, Eero P. Simoncelli, Carlos Fernandez-Granda

Proceedings of the 8th International Conference on Learning Representations, 2020

2019

Knee Cartilage Segmentation Using Diffusion-Weighted MRI.

Alejandra Duarte, Chaitra V. Hegde, Aakash Kaku, Sreyas Mohan, José G. Raya

CoRR, 2019

Data-driven Estimation of Sinusoid Frequencies.

Gautier Izacard, Sreyas Mohan, Carlos Fernandez-Granda

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

2017

Blind Nonnegative Source Separation Using Biological Neural Networks.

Cengiz Pehlevan, Sreyas Mohan, Dmitri B. Chklovskii

Neural Comput., 2017

Data driven coded aperture design for depth recovery.

Prasan A. Shedligeri, Sreyas Mohan, Kaushik Mitra

Proceedings of the 2017 IEEE International Conference on Image Processing, 2017