VStegNET: Video Steganography Network using Spatio-Temporal features and Micro-Bottleneck. - Aayush Mishra; Suraj Kumar; Aditya Nigam; Saiful Islam (BMVC, 2019)

Repeated Environment Inference for Invariant Learning. - Aayush Mishra; Anqi Liu (CoRR, 2022)

DECODE: Data-driven Energy Consumption Prediction leveraging Historical Data and Environmental Factors in Buildings. - Aditya Mishra; Haroon R. Lone; Aayush Mishra (CoRR, 2023)

Stress Testing Chain-of-Thought Prompting for Large Language Models. - Aayush Mishra; Karan Thakkar (CoRR, 2023)

Do pretrained Transformers Really Learn In-context by Gradient Descent? - Lingfeng Shen; Aayush Mishra; Daniel Khashabi (CoRR, 2023)

Ordinal-Meta Learning for Fine-Grained Fruit Quality Prediction. - Aayush Mishra; Manasi Patwardhan 001; Parijat Deshpande; Beena Rai (ECCV Workshops (3), 2024)

Source-Free and Image-Only Unsupervised Domain Adaptation for Category Level Object Pose Estimation. - Prakhar Kaushik; Aayush Mishra; Adam Kortylewski; Alan L. Yuille (ICLR, 2024)

Position: Do pretrained Transformers Learn In-Context by Gradient Descent? - Lingfeng Shen; Aayush Mishra; Daniel Khashabi (ICML, 2024)

Privacy Preserving Ordinal-Meta Learning with VLMs for Fine-Grained Fruit Quality Prediction. - Riddhi Jain; Manasi Patwardhan 001; Aayush Mishra; Parijat Deshpande; Beena Rai (CVPR Workshops, 2025)

ODD: Overlap-aware Estimation of Model Performance under Distribution Shift. - Aayush Mishra; Anqi Liu (UAI, 2025)

Robust Amortized Bayesian Inference with Self-Consistency Losses on Unlabeled Data. - Aayush Mishra; Daniel Habermann; Marvin Schmitt; Stefan T. Radev; Paul-Christian Bürkner (CoRR, 2025)

Automatic Machine Learning Framework to Study Morphological Parameters of AGN Host Galaxies within z < 1.4 in the Hyper Supreme-Cam Wide Survey. - Chuan Tian; C. Megan Urry; Aritra Ghosh 003; Daisuke Nagai; Tonima Tasnim Ananna; Meredith C. Powell; Connor Auge; Aayush Mishra; David B. Sanders; Nico Cappelluti; Kevin Schawinski (CoRR, 2025)

On the challenges of detecting MCI using EEG in the wild. - Aayush Mishra; David Joffe; Sankara Surendra Telidevara; David S. Oakley; Anqi Liu (CoRR, 2025)

A Critical Review of IoT-Based Structural Health Monitoring for Dams. - Aajid Khan; Satanand Mishra; Shivani Pandey; Tanmay Sardar; Aayush Mishra; Manish Mudgal; Sandeep Singhai (IEEE Internet Things J., 2025)

ICL CIPHERS: Quantifying "Learning" in In-Context Learning via Substitution Ciphers. - Zhouxiang Fang; Aayush Mishra; Muhan Gao; Anqi Liu; Daniel Khashabi (CoRR, 2025)