Author

Aayush Mishra

Observed name: Mishra, Aayush

Institutions: Johns Hopkins University, TU Dortmund University, Johns Hopkins Medicine, Johns Hopkins University Applied Physics Laboratory, Qualcomm (United States)

Observed institutions: SRM Institute of Science and Technology, Johns Hopkins University, University of Freiburg, TU Dortmund University, Johns Hopkins Medicine, Johns Hopkins University Applied Physics Laboratory, Qualcomm (United States), Max Planck Institute for Informatics

OpenAlex ID: A5013900997

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

2024 · Kaushik, Prakhar, Mishra, Aayush, et al. · arXiv (Cornell University) · 1

Enabling Dynamic Computation in Looped LMs

2026 · Mishra, Aayush, Masdemont, Arnau Padrés, et al. · arXiv (Cornell University)

Mitigating Representation Gaps in Amortized Bayesian Inference with Auxiliary Supervision

2026 · Olischläger, Hans, Jedhoff, Svenja, et al. · arXiv (Cornell University)

Convergent Emergence of In-Context Learning Across Modalities

2026 · Breslow, Nathan, Han, Seungwook, et al. · arXiv (Cornell University)

Steered LLM Activations are Non-Surjective

2026 · Mishra, Aayush, Khashabi, Daniel, et al. · arXiv (Cornell University)

Improving the Accuracy of Amortized Model Comparison with Self-Consistency

2025 · Kucharský, Šimon, Mishra, Aayush, et al. · arXiv (Cornell University)

Genomic Next-Token Predictors are In-Context Learners

2025 · Breslow, Nathan, Mishra, Aayush, et al. · arXiv (Cornell University)

Improving the Accuracy of Amortized Model Comparison with Self-Consistency

2025 · Kucharský, Šimon, Mishra, Aayush, et al. · arXiv (Cornell University)

Robust Amortized Bayesian Inference with Self-Consistency Losses on Unlabeled Data

2025 · Mishra, Aayush, Habermann, Daniel, et al. · arXiv (Cornell University)

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

2025 · Zhouxiang Fang, Aayush Mishra, et al. · Conference on Empirical Methods in Natural Language Processing (EMNLP)

Book Recommendation Through Sentiment Analysis Using Machine Learning

2024 · P. Santhosh Kumar, Madhumita Jha, et al. · International Conference on Advances in Computation, Communication and Information Technology (ICAICCIT)

Do pretrained Transformers Learn In-Context by Gradient Descent?

2023 · Shen, Lingfeng, Mishra, Aayush, et al. · arXiv (Cornell University)

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

2023 · Mishra, Aayush, Thakkar, Karan · arXiv (Cornell University)

Repeated Environment Inference for Invariant Learning

2022 · Mishra, Aayush, Liu, Anqi · arXiv (Cornell University)

Works count: 15

Citation count: 1

H-index: 1

I10-index: