Data driven coded aperture design for depth recovery. - Prasan A. Shedligeri; Sreyas Mohan; Kaushik Mitra (ICIP, 2017)

Blind Nonnegative Source Separation Using Biological Neural Networks. - Cengiz Pehlevan; Sreyas Mohan; Dmitri B. Chklovskii (Neural Comput., 2017)

Data-driven Estimation of Sinusoid Frequencies. - Gautier Izacard; Sreyas Mohan; Carlos Fernandez-Granda (NeurIPS, 2019)

Knee Cartilage Segmentation Using Diffusion-Weighted MRI. - Alejandra Duarte; Chaitra V. Hegde; Aakash Kaku; Sreyas Mohan; José G. Raya (CoRR, 2019)

Robust And Interpretable Blind Image Denoising Via Bias-Free Convolutional Neural Networks. - Sreyas Mohan; Zahra Kadkhodaie; Eero P. Simoncelli; Carlos Fernandez-Granda (ICLR, 2020)

Be Like Water: Robustness to Extraneous Variables Via Adaptive Feature Normalization. - Aakash Kaku; Sreyas Mohan; Avinash Parnandi 001; Heidi M. Schambra; Carlos Fernandez-Granda (CoRR, 2020)

Perturbation CheckLists for Evaluating NLG Evaluation Metrics. - Ananya B. Sai; Tanay Dixit; Dev Yashpal Sheth; Sreyas Mohan; Mitesh M. Khapra (EMNLP (1), 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 (ICCV, 2021)

Adaptive Denoising via GainTuning. - Sreyas Mohan; Joshua L. Vincent; Ramon Manzorro; Peter A. Crozier; Carlos Fernandez-Granda; Eero P. Simoncelli (NeurIPS, 2021)

Deep Probability Estimation. - Sheng Liu; Aakash Kaku; Weicheng Zhu; Matan Leibovich; Sreyas Mohan; Boyang Yu 003; Laure Zanna; Narges Razavian; Carlos Fernandez-Granda (CoRR, 2021)

Deep Probability Estimation. - Sheng Liu; Aakash Kaku; Weicheng Zhu; Matan Leibovich; Sreyas Mohan; Boyang Yu 003; Haoxiang Huang; Laure Zanna; Narges Razavian; Jonathan Niles-Weed; Carlos Fernandez-Granda (ICML, 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)

MMG-Ego4D: Multi-Modal Generalization in Egocentric Action Recognition. - Xinyu Gong; Sreyas Mohan; Naina Dhingra; Jean-Charles Bazin; Yilei Li; Zhangyang Wang; Rakesh Ranjan (CVPR, 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 (ICML, 2023)

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 001; Zhangyang Wang; Vikas Chandra (CVPR, 2024)

WaSt-3D: Wasserstein-2 Distance for Scene-to-Scene Stylization on 3D Gaussians. - Dmytro Kotovenko; Olga Grebenkova; Nikolaos Sarafianos; Avinash Paliwal; Pingchuan Ma 006; Omid Poursaeed; Sreyas Mohan; Yuchen Fan; Yilei Li; Rakesh Ranjan; Björn Ommer (ECCV (21), 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 001; Zhangyang Wang; Vikas Chandra (AISTATS, 2025)

Steepest Descent Density Control for Compact 3D Gaussian Splatting. - Peihao Wang; Yuehao Wang; Dilin Wang; Sreyas Mohan; Zhiwen Fan; Lemeng Wu; Ruisi Cai; Yu-Ying Yeh; Zhangyang Wang; Qiang Liu 001; Rakesh Ranjan (CVPR, 2025)

Learn, Denoise, and Discover: A guide to deep denoising with an application to electron microscopy. - Sreyas Mohan; Kangning Liu; Peter A. Crozier; Carlos Fernandez-Granda (IEEE Signal Process. Mag., 2025)

InteractAvatar: Modeling Hand-Face Interaction in Photorealistic Avatars with Deformable Gaussians. - Kefan Chen; Sergiu Oprea; Justin Theiss; Sreyas Mohan; Srinath Sridhar 002; Aayush Prakash (CoRR, 2025)

Seamless Interaction: Dyadic Audiovisual Motion Modeling and Large-Scale Dataset. - Vasu Agrawal; Akinniyi Akinyemi; Kathryn Alvero; Morteza Behrooz; Julia Buffalini; Fabio Maria Carlucci; Joy Chen; Junming Chen; Zhang Chen; Shiyang Cheng; Praveen Chowdary; Joe Chuang; et al. (CoRR, 2025)