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Aayush Mishra
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2020 – today
- 2025
- [j1]Aajid Khan, Satanand Mishra
, Shivani Pandey, Tanmay Sardar
, Aayush Mishra
, Manish Mudgal, Sandeep Singhai
:
A Critical Review of IoT-Based Structural Health Monitoring for Dams. IEEE Internet Things J. 12(2): 1368-1379 (2025) - [i8]Aayush Mishra, Daniel Habermann, Marvin Schmitt, Stefan T. Radev, Paul-Christian Bürkner:
Robust Amortized Bayesian Inference with Self-Consistency Losses on Unlabeled Data. CoRR abs/2501.13483 (2025) - [i7]Chuan Tian, C. Megan Urry, Aritra Ghosh, Daisuke Nagai, Tonima Tasnim Ananna, Meredith C. Powell, Connor Auge, Aayush Mishra, David B. Sanders, Nico Cappelluti, Kevin Schawinski:
Automatic Machine Learning Framework to Study Morphological Parameters of AGN Host Galaxies within z < 1.4 in the Hyper Supreme-Cam Wide Survey. CoRR abs/2501.15739 (2025) - [i6]Aayush Mishra, David Joffe, Sankara Surendra Telidevara, David S. Oakley, Anqi Liu:
On the challenges of detecting MCI using EEG in the wild. CoRR abs/2501.17871 (2025) - 2024
- [c3]Prakhar Kaushik, Aayush Mishra, Adam Kortylewski, Alan L. Yuille:
Source-Free and Image-Only Unsupervised Domain Adaptation for Category Level Object Pose Estimation. ICLR 2024 - [c2]Lingfeng Shen, Aayush Mishra, Daniel Khashabi:
Position: Do pretrained Transformers Learn In-Context by Gradient Descent? ICML 2024 - [i5]Prakhar Kaushik
, Aayush Mishra, Adam Kortylewski, Alan L. Yuille:
Source-Free and Image-Only Unsupervised Domain Adaptation for Category Level Object Pose Estimation. CoRR abs/2401.10848 (2024) - 2023
- [i4]Aditya Mishra, Haroon R. Lone, Aayush Mishra:
DECODE: Data-driven Energy Consumption Prediction leveraging Historical Data and Environmental Factors in Buildings. CoRR abs/2309.02908 (2023) - [i3]Aayush Mishra, Karan Thakkar:
Stress Testing Chain-of-Thought Prompting for Large Language Models. CoRR abs/2309.16621 (2023) - [i2]Lingfeng Shen, Aayush Mishra, Daniel Khashabi:
Do pretrained Transformers Really Learn In-context by Gradient Descent? CoRR abs/2310.08540 (2023) - 2022
- [i1]Aayush Mishra, Anqi Liu:
Repeated Environment Inference for Invariant Learning. CoRR abs/2207.12876 (2022)
2010 – 2019
- 2019
- [c1]Aayush Mishra, Suraj Kumar, Aditya Nigam, Saiful Islam:
VStegNET: Video Steganography Network using Spatio-Temporal features and Micro-Bottleneck. BMVC 2019: 274
Coauthor Index

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