Mishra, Aayush

10 publications

TMLR 2026 Genomic Next-Token Predictors Are In-Context Learners Nathan Breslow, Aayush Mishra, Michael Schatz, Anqi Liu, Mahler Revsine, Daniel Khashabi

ICLR 2026 IA2: Alignment with ICL Activations Improves Supervised Fine-Tuning Aayush Mishra, Daniel Khashabi, Anqi Liu

ICLR 2026 Robust Amortized Bayesian Inference with Self-Consistency Losses on Unlabeled Data Aayush Mishra, Daniel Habermann, Marvin Schmitt, Stefan T. Radev, Paul-Christian Bürkner

UAI 2025 ODD: Overlap-Aware Estimation of Model Performance Under Distribution Shift Aayush Mishra, Anqi Liu

CVPRW 2025 Privacy Preserving Ordinal-Meta Learning with VLMs for Fine-Grained Fruit Quality Prediction Riddhi Jain, Manasi Patwardhan, Aayush Mishra, Parijat Deshpande, Beena Rai

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

ECCVW 2024 Ordinal-Meta Learning for Fine-Grained Fruit Quality Prediction Aayush Mishra, Manasi Patwardhan, Parijat Deshpande, Beena Rai

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

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

ICMLW 2022 Repeated Environment Inference for Invariant Learning Aayush Mishra, Anqi Liu