Aayush Mishra

According to our database, Aayush Mishra authored at least 15 papers between 2019 and 2025.

Collaborative distances:

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

2025

ICL CIPHERS: Quantifying "Learning" in In-Context Learning via Substitution Ciphers.

Zhouxiang Fang, Aayush Mishra, Muhan Gao, Anqi Liu, Daniel Khashabi

CoRR, April, 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., January, 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, January, 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, Daisuke Nagai, Tonima Tasnim Ananna, Meredith C. Powell, Connor Auge, Aayush Mishra, David B. Sanders, Nico Cappelluti, Kevin Schawinski

CoRR, January, 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, January, 2025

ODD: Overlap-aware Estimation of Model Performance under Distribution Shift.

Aayush Mishra, Anqi Liu

Proceedings of the Conference on Uncertainty in Artificial Intelligence, 2025

Privacy Preserving Ordinal-Meta Learning with VLMs for Fine-Grained Fruit Quality Prediction.

Riddhi Jain, Manasi Patwardhan, Aayush Mishra, Parijat Deshpande, Beena Rai

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2025

2024

Position: Do pretrained Transformers Learn In-Context by Gradient Descent?

Lingfeng Shen, Aayush Mishra, Daniel Khashabi

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Source-Free and Image-Only Unsupervised Domain Adaptation for Category Level Object Pose Estimation.

Prakhar Kaushik, Aayush Mishra, Adam Kortylewski, Alan L. Yuille

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Ordinal-Meta Learning for Fine-Grained Fruit Quality Prediction.

Aayush Mishra, Manasi Patwardhan, Parijat Deshpande, Beena Rai

Proceedings of the Computer Vision - ECCV 2024 Workshops, 2024

2023

Do pretrained Transformers Really Learn In-context by Gradient Descent?

Lingfeng Shen, Aayush Mishra, Daniel Khashabi

CoRR, 2023

Stress Testing Chain-of-Thought Prompting for Large Language Models.

Aayush Mishra, Karan Thakkar

CoRR, 2023

DECODE: Data-driven Energy Consumption Prediction leveraging Historical Data and Environmental Factors in Buildings.

Aditya Mishra, Haroon R. Lone, Aayush Mishra

CoRR, 2023

2022

Repeated Environment Inference for Invariant Learning.

Aayush Mishra, Anqi Liu

CoRR, 2022

2019

VStegNET: Video Steganography Network using Spatio-Temporal features and Micro-Bottleneck.

Aayush Mishra, Suraj Kumar, Aditya Nigam, Saiful Islam

Proceedings of the 30th British Machine Vision Conference 2019, 2019