Anshul Nasery - RankMe

23 papers A* 5Misc 1Journal 14Unranked 3

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Are Robust LLM Fingerprints Adversarially Robust? CoRR Anshul Nasery, Edoardo Contente, Alkin Kaz, Pramod Viswanath, Sewoong Oh
2025	A*	`conf`	PLeaS - Merging Models with Permutations and Least Squares. CVPR Anshul Nasery, Jonathan Hayase, Pang Wei Koh, Sewoong Oh
2025	J	`jnl`	Scalable Fingerprinting of Large Language Models. CoRR Anshul Nasery, Jonathan Hayase, Creston Brooks, Peiyao Sheng, Himanshu Tyagi, Pramod Viswanath, Sewoong Oh
2024	—	`conf`	End-to-End Neural Network Compression via l1/l2 Regularized Latency Surrogates. CVPR Workshops Anshul Nasery, Hardik Shah, Arun Sai Suggala, Prateek Jain
2024	J	`jnl`	OML: Open, Monetizable, and Loyal AI. CoRR Zerui Cheng, Edoardo Contente, Ben Finch, Oleg Golev, Jonathan Hayase, Andrew Miller, Niusha Moshrefi, Anshul Nasery, Sandeep Nailwal, Sewoong Oh, Himanshu Tyagi, Pramod Viswanath
2024	J	`jnl`	OML: Open, Monetizable, and Loyal AI. IACR Cryptol. ePrint Arch. Zerui Cheng, Edoardo Contente, Ben Finch, Oleg Golev, Jonathan Hayase, Andrew Miller, Niusha Moshrefi, Anshul Nasery, Sandeep Nailwal, Sewoong Oh, Himanshu Tyagi, Pramod Viswanath
2024	J	`jnl`	PLeaS - Merging Models with Permutations and Least Squares. CoRR Anshul Nasery, Jonathan Hayase, Pang Wei Koh, Sewoong Oh
2024	A*	`conf`	Peekaboo: Interactive Video Generation via Masked-Diffusion. CVPR Yash Jain, Anshul Nasery, Vibhav Vineet, Harkirat S. Behl
2023	J	`jnl`	End-to-End Neural Network Compression via 𝓁 CoRR Anshul Nasery, Hardik Shah, Arun Sai Suggala, Prateek Jain
2023	A*	`conf`	Feature Reconstruction From Outputs Can Mitigate Simplicity Bias in Neural Networks. ICLR Sravanti Addepalli, Anshul Nasery, Venkatesh Babu Radhakrishnan, Praneeth Netrapalli, Prateek Jain
2023	J	`jnl`	Label Differential Privacy via Aggregation. CoRR Anand Brahmbhatt, Rishi Saket, Shreyas Havaldar, Anshul Nasery, Aravindan Raghuveer
2023	J	`jnl`	PEEKABOO: Interactive Video Generation via Masked-Diffusion. CoRR Yash Jain, Anshul Nasery, Vibhav Vineet, Harkirat S. Behl
2022	J	`jnl`	DAFT: Distilling Adversarially Fine-tuned Models for Better OOD Generalization. CoRR Anshul Nasery, Sravanti Addepalli, Praneeth Netrapalli, Prateek Jain
2022	J	`jnl`	Learning an Invertible Output Mapping Can Mitigate Simplicity Bias in Neural Networks. CoRR Sravanti Addepalli, Anshul Nasery, R. Venkatesh Babu, Praneeth Netrapalli, Prateek Jain
2022	Misc	`conf`	Teaching CNNs to Mimic Human Visual Cognitive Process & Regularise Texture-Shape Bias. ICASSP Satyam Mohla, Anshul Nasery, Biplab Banerjee
2021	—	`conf`	MIMOQA: Multimodal Input Multimodal Output Question Answering. NAACL-HLT Hrituraj Singh, Anshul Nasery, Denil Mehta, Aishwarya Agarwal, Jatin Lamba, Balaji Vasan Srinivasan
2021	—	`conf`	Rule Augmented Unsupervised Constituency Parsing. ACL/IJCNLP (Findings) Atul Sahay, Anshul Nasery, Ayush Maheshwari, Ganesh Ramakrishnan, Rishabh K. Iyer
2021	J	`jnl`	Rule Augmented Unsupervised Constituency Parsing. CoRR Atul Sahay, Anshul Nasery, Ayush Maheshwari, Ganesh Ramakrishnan, Rishabh K. Iyer
2021	A*	`conf`	Training for the Future: A Simple Gradient Interpolation Loss to Generalize Along Time. NeurIPS Anshul Nasery, Soumyadeep Thakur, Vihari Piratla, Abir De, Sunita Sarawagi
2021	J	`jnl`	Training for the Future: A Simple Gradient Interpolation Loss to Generalize Along Time. CoRR Anshul Nasery, Soumyadeep Thakur, Vihari Piratla, Abir De, Sunita Sarawagi
2020	J	`jnl`	CognitiveCNN: Mimicking Human Cognitive Models to resolve Texture-Shape Bias. CoRR Satyam Mohla, Anshul Nasery, Biplab Banerjee, Subhasis Chaudhuri
2020	A*	`conf`	What if Neural Networks had SVDs? NeurIPS Alexander Mathiasen, Frederik Hvilshøj, Jakob Rødsgaard Jørgensen, Anshul Nasery, Davide Mottin
2020	J	`jnl`	What if Neural Networks had SVDs? CoRR Alexander Mathiasen, Frederik Hvilshøj, Jakob Rødsgaard Jørgensen, Anshul Nasery, Davide Mottin