Moulik Choraria

According to our database, Moulik Choraria authored at least 14 papers between 2019 and 2026.

Collaborative distances:

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

2026

Context-Gated Associative Retrieval: From Theory to Transformers.

Moulik Choraria, Argyrios Gerogiannis, Vidhata Arjun Jayaraman, Ankur Mani, Lav R. Varshney

CoRR, May, 2026

Protecting the Trace: A Principled Black-Box Approach Against Distillation Attacks.

Max Hartman, Vidhata Arjun Jayaraman, Moulik Choraria, Lav R. Varshney

CoRR, April, 2026

Your Model Diversity, Not Method, Determines Reasoning Strategy.

Moulik Choraria, Argyrios Gerogiannis, Anirban Das, Supriyo Chakraborty, Berkcan Kapusuzoglu, Chia-Hsuan Lee, Kartik Balasubramaniam, Shixiong Zhang, Sambit Sahu

CoRR, April, 2026

DeepInsert: Early Layer Bypass for Efficient and Performant Multimodal Understanding.

Moulik Choraria, Xinbo Wu, Akhil Bhimaraju, Nitesh Sekhar, Yue Wu, Xu Zhang, Prateek Singhal, Lav R. Varshney

Proceedings of the 19th Conference of the European Chapter of the Association for Computational Linguistics, 2026

2025

Watermarking Discrete Diffusion Language Models.

Avi Bagchi, Akhil Bhimaraju, Moulik Choraria, Daniel Alabi, Lav R. Varshney

CoRR, November, 2025

Skip-It? Theoretical Conditions for Layer Skipping in Vision-Language Models.

Max Hartman, Vidhata Arjun Jayaraman, Moulik Choraria, Akhil Bhimaraju, Lav R. Varshney

CoRR, September, 2025

Platonic Grounding for Efficient Multimodal Language Models.

Moulik Choraria, Xinbo Wu, Akhil Bhimaraju, Nitesh Sekhar, Yue Wu, Xu Zhang, Prateek Singhal, Lav R. Varshney

CoRR, April, 2025

2023

Language Grounded QFormer for Efficient Vision Language Understanding.

Moulik Choraria, Nitesh Sekhar, Yue Wu, Xu Zhang, Prateek Singhal, Lav R. Varshney

CoRR, 2023

Transformers are Universal Predictors.

Sourya Basu, Moulik Choraria, Lav R. Varshney

CoRR, 2023

Learning Optimal Features via Partial Invariance.

Moulik Choraria, Ibtihal Ferwana, Ankur Mani, Lav R. Varshney

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Design of False Data Injection Attack on Distributed Process Estimation.

Moulik Choraria, Arpan Chattopadhyay, Urbashi Mitra, Erik G. Ström

IEEE Trans. Inf. Forensics Secur., 2022

The Spectral Bias of Polynomial Neural Networks.

Moulik Choraria, Leello Tadesse Dadi, Grigorios Chrysos, Julien Mairal, Volkan Cevher

Proceedings of the Tenth International Conference on Learning Representations, 2022

2021

Balancing Fairness and Robustness via Partial Invariance.

Moulik Choraria, Ibtihal Ferwana, Ankur Mani, Lav R. Varshney

CoRR, 2021

2019

Optimal deception attack on networked vehicular cyber physical systems.

Moulik Choraria, Arpan Chattopadhyay, Urbashi Mitra, Erik G. Ström

Proceedings of the 53rd Asilomar Conference on Signals, Systems, and Computers, 2019