Krishnan, Rahul

19 publications

ICML 2025 AutoElicit: Using Large Language Models for Expert Prior Elicitation in Predictive Modelling Alexander Capstick, Rahul Krishnan, Payam Barnaghi

NeurIPS 2025 Beyond Masked and Unmasked: Discrete Diffusion Models via Partial Masking Chen-Hao Chao, Wei-Fang Sun, Hanwen Liang, Chun-Yi Lee, Rahul Krishnan

NeurIPS 2025 CausalPFN: Amortized Causal Effect Estimation via In-Context Learning Vahid Balazadeh, Hamidreza Kamkari, Valentin Thomas, Junwei Ma, Bingru Li, Jesse C. Cresswell, Rahul Krishnan

ICML 2025 Diverse Prototypical Ensembles Improve Robustness to Subpopulation Shift Nguyen Nhat Minh To, Paul F R Wilson, Viet Nguyen, Mohamed Harmanani, Michael Cooper, Fahimeh Fooladgar, Purang Abolmaesumi, Parvin Mousavi, Rahul Krishnan

ICLRW 2025 Multi-Modal Disentanglement of Spatial Transcriptomics and Histopathology Imaging Hassaan Maan, Zongliang Ji, Elliot Sicheri, Tiak Ju Tan, Alina Selega, Ricardo Gonzalez, Rahul Krishnan, Bo Wang, Kieran R. Campbell

NeurIPS 2025 Reliably Detecting Model Failures in Deployment Without Labels Viet Nguyen, Changjian Shui, Vijay Giri, Siddharth Arya, Amol Verma, Fahad Razak, Rahul Krishnan

ICML 2025 Sparse Training from Random Initialization: Aligning Lottery Ticket Masks Using Weight Symmetry Mohammed Adnan, Rohan Jain, Ekansh Sharma, Rahul Krishnan, Yani Ioannou

ICLR 2025 Teaching LLMs How to Learn with Contextual Fine-Tuning Younwoo Choi, Muhammad Adil Asif, Ziwen Han, John Willes, Rahul Krishnan

ICML 2024 A Geometric Explanation of the Likelihood OOD Detection Paradox Hamidreza Kamkari, Brendan Leigh Ross, Jesse C. Cresswell, Anthony L. Caterini, Rahul Krishnan, Gabriel Loaiza-Ganem

ICMLW 2024 End-to-End Causal Effect Estimation from Unstructured Natural Language Data Nikita Dhawan, Leonardo Cotta, Karen Ullrich, Rahul Krishnan, Chris J. Maddison

NeurIPSW 2024 Exploring a Bayesian View on Compositional and Counterfactual Generalization Patrik Reizinger, Rahul Krishnan

ICML 2024 InterpreTabNet: Distilling Predictive Signals from Tabular Data by Salient Feature Interpretation Jacob Yoke Hong Si, Wendy Yusi Cheng, Michael Cooper, Rahul Krishnan

MLHC 2024 NeRF-US: Removing Ultrasound Imaging Artifacts from Neural Radiance Fields in the Wild Rishit Dagli, Atsuhiro Hibi, Rahul Krishnan, Pascal N Tyrrell

NeurIPSW 2024 Personalized Adaptation via In-Context Preference Learning Allison Lau, Younwoo Choi, Vahid Balazadeh, Keertana Chidambaram, Vasilis Syrgkanis, Rahul Krishnan

MLHC 2024 Predicting Long-Term Allograft Survival in Liver Transplant Recipients Xiang Gao, Michael Cooper, Maryam Naghibzadeh, Amirhossein Azhie, Mamatha Bhat, Rahul Krishnan

ICMLW 2024 Sequential Decision Making with Expert Demonstrations Under Unobserved Heterogeneity Vahid Balazadeh, Keertana Chidambaram, Viet Nguyen, Rahul Krishnan, Vasilis Syrgkanis

NeurIPSW 2024 Teaching LLMs How to Learn with Contextual Fine-Tuning Younwoo Choi, Muhammad Adil Asif, Ziwen Han, John Willes, Rahul Krishnan

NeurIPSW 2024 Unlearning Tabular Data Without a "Forget Set'' Aviraj Newatia, Michael Cooper, Rahul Krishnan

NeurIPSW 2023 InterpreTabNet: Enhancing Interpretability of Tabular Data Using Deep Generative Models and Large Language Models Jacob Yoke Hong Si, Michael Cooper, Wendy Yusi Cheng, Rahul Krishnan