Rahul G. Krishnan
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
18
Venues
9
Active years
2017–2025
Best venue rank
A*
Where they publish
Papers
18 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | EMNLP | Agentic Medical Knowledge Graphs Enhance Medical Question Answering: Bridging the Gap Between LLMs and Evolving Medical Knowledge. | Mohammad R. Rezaei, Reza Saadati Fard, Jayson Parker, Rahul G. Krishnan, Milad Lankarany |
| 2025 | ICCV | Physics Context Builders: A Modular Framework for Physical Reasoning in Vision-Language Models. | Vahid Balazadeh, Mohammadmehdi Ataei, Hyunmin Cheong, Amir Hosein Khasahmadi, Rahul G. Krishnan |
| 2025 | ICLR | Teaching LLMs How to Learn with Contextual Fine-Tuning. | Younwoo Choi, Muhammad Adil Asif, Ziwen Han, John Willes, Rahul G. Krishnan |
| 2025 | ICML | AutoElicit: Using Large Language Models for Expert Prior Elicitation in Predictive Modelling. | Alexander Capstick, Rahul G. Krishnan, Payam M. Barnaghi |
| 2025 | ICML | Diverse Prototypical Ensembles Improve Robustness to Subpopulation Shift. | Minh Nguyen Nhat To, Paul F. R. Wilson, Viet Nguyen, Mohamed Harmanani, Michael Cooper, Fahimeh Fooladgar, Purang Abolmaesumi, Parvin Mousavi, Rahul G. Krishnan |
| 2024 | ICML | A Geometric Explanation of the Likelihood OOD Detection Paradox. | Hamidreza Kamkari, Brendan Leigh Ross, Jesse C. Cresswell, Anthony L. Caterini, Rahul G. Krishnan, Gabriel Loaiza-Ganem |
| 2024 | ICML | InterpreTabNet: Distilling Predictive Signals from Tabular Data by Salient Feature Interpretation. | Jacob Yoke Hong Si, Wendy Yusi Cheng, Michael Cooper, Rahul G. Krishnan |
| 2023 | ICLR | Anamnesic Neural Differential Equations with Orthogonal Polynomial Projections. | Edward De Brouwer, Rahul G. Krishnan |
| 2023 | ICLR | A Learning Based Hypothesis Test for Harmful Covariate Shift. | Tom Ginsberg, Zhongyuan Liang, Rahul G. Krishnan |
| 2023 | UAI | Copula-based deep survival models for dependent censoring. | Ali Hossein Gharari Foomani, Michael Cooper, Russell Greiner, Rahul G. Krishnan |
| 2022 | AAAI | Clustering Interval-Censored Time-Series for Disease Phenotyping. | Irene Y. Chen, Rahul G. Krishnan, David A. Sontag |
| 2022 | AISTATS | Using time-series privileged information for provably efficient learning of prediction models. | Rickard K. A. Karlsson, Martin Willbo, Zeshan M. Hussain, Rahul G. Krishnan, David A. Sontag, Fredrik Johansson |
| 2022 | CVPR | Scaling Vision Transformers to Gigapixel Images via Hierarchical Self-Supervised Learning. | Richard J. Chen, Chengkuan Chen, Yicong Li, Tiffany Y. Chen, Andrew D. Trister, Rahul G. Krishnan, Faisal Mahmood |
| 2021 | ICML | Neural Pharmacodynamic State Space Modeling. | Zeshan M. Hussain, Rahul G. Krishnan, David A. Sontag |
| 2018 | AISTATS | On the challenges of learning with inference networks on sparse, high-dimensional data. | Rahul G. Krishnan, Dawen Liang, Matthew D. Hoffman |
| 2018 | WWW | Variational Autoencoders for Collaborative Filtering. | Dawen Liang, Rahul G. Krishnan, Matthew D. Hoffman, Tony Jebara |
| 2018 | UAI | Max-margin learning with the Bayes factor. | Rahul G. Krishnan, Arjun Khandelwal, Rajesh Ranganath, David A. Sontag |
| 2017 | AAAI | Structured Inference Networks for Nonlinear State Space Models. | Rahul G. Krishnan, Uri Shalit, David A. Sontag |