What if Neural Networks had SVDs? - Alexander Mathiasen; Frederik Hvilshøj; Jakob Rødsgaard Jørgensen; Anshul Nasery; Davide Mottin (NeurIPS, 2020)

CognitiveCNN: Mimicking Human Cognitive Models to resolve Texture-Shape Bias. - Satyam Mohla; Anshul Nasery; Biplab Banerjee; Subhasis Chaudhuri (CoRR, 2020)

Rule Augmented Unsupervised Constituency Parsing. - Atul Sahay; Anshul Nasery; Ayush Maheshwari; Ganesh Ramakrishnan; Rishabh K. Iyer (ACL/IJCNLP (Findings), 2021)

MIMOQA: Multimodal Input Multimodal Output Question Answering. - Hrituraj Singh; Anshul Nasery; Denil Mehta; Aishwarya Agarwal; Jatin Lamba; Balaji Vasan Srinivasan (NAACL-HLT, 2021)

Training for the Future: A Simple Gradient Interpolation Loss to Generalize Along Time. - Anshul Nasery; Soumyadeep Thakur; Vihari Piratla; Abir De; Sunita Sarawagi (NeurIPS, 2021)

Teaching CNNs to Mimic Human Visual Cognitive Process & Regularise Texture-Shape Bias. - Satyam Mohla; Anshul Nasery; Biplab Banerjee (ICASSP, 2022)

DAFT: Distilling Adversarially Fine-tuned Models for Better OOD Generalization. - Anshul Nasery; Sravanti Addepalli; Praneeth Netrapalli; Prateek Jain 002 (CoRR, 2022)

Learning an Invertible Output Mapping Can Mitigate Simplicity Bias in Neural Networks. - Sravanti Addepalli; Anshul Nasery; R. Venkatesh Babu; Praneeth Netrapalli; Prateek Jain 002 (CoRR, 2022)

Feature Reconstruction From Outputs Can Mitigate Simplicity Bias in Neural Networks. - Sravanti Addepalli; Anshul Nasery; Venkatesh Babu Radhakrishnan; Praneeth Netrapalli; Prateek Jain 002 (ICLR, 2023)

End-to-End Neural Network Compression via 𝓁1/𝓁2 Regularized Latency Surrogates. - Anshul Nasery; Hardik Shah; Arun Sai Suggala; Prateek Jain 002 (CoRR, 2023)

Label Differential Privacy via Aggregation. - Anand Brahmbhatt; Rishi Saket; Shreyas Havaldar; Anshul Nasery; Aravindan Raghuveer (CoRR, 2023)

Peekaboo: Interactive Video Generation via Masked-Diffusion. - Yash Jain; Anshul Nasery; Vibhav Vineet; Harkirat S. Behl (CVPR, 2024)

End-to-End Neural Network Compression via l1/l2 Regularized Latency Surrogates. - Anshul Nasery; Hardik Shah; Arun Sai Suggala; Prateek Jain 002 (CVPR Workshops, 2024)

OML: Open, Monetizable, and Loyal AI. - Zerui Cheng; Edoardo Contente; Ben Finch; Oleg Golev; Jonathan Hayase; Andrew Miller 001; Niusha Moshrefi; Anshul Nasery; Sandeep Nailwal; Sewoong Oh; Himanshu Tyagi; Pramod Viswanath (IACR Cryptol. ePrint Arch., 2024)

PLeaS - Merging Models with Permutations and Least Squares. - Anshul Nasery; Jonathan Hayase; Pang Wei Koh; Sewoong Oh (CVPR, 2025)

Scalable Fingerprinting of Large Language Models. - Anshul Nasery; Jonathan Hayase; Creston Brooks; Peiyao Sheng; Himanshu Tyagi; Pramod Viswanath; Sewoong Oh (CoRR, 2025)