Soumya Ghosh
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
23
Venues
14
Active years
2006–2025
Best venue rank
A*
Where they publish
Papers
23 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | ACL | Multi-Level Explanations for Generative Language Models. | Lucas Monteiro Paes, Dennis Wei, Hyo Jin Do, Hendrik Strobelt, Ronny Luss, Amit Dhurandhar, Manish Nagireddy, Karthikeyan Natesan Ramamurthy, Prasanna Sattigeri, Werner Geyer, Soumya Ghosh |
| 2025 | AIES | When in Doubt, Cascade: Towards Building Efficient and Capable Guardrails. | Manish Nagireddy, Inkit Padhi, Soumya Ghosh, Prasanna Sattigeri |
| 2024 | ICML | Thermometer: Towards Universal Calibration for Large Language Models. | Maohao Shen, Subhro Das, Kristjan H. Greenewald, Prasanna Sattigeri, Gregory W. Wornell, Soumya Ghosh |
| 2023 | AAAI | Post-hoc Uncertainty Learning Using a Dirichlet Meta-Model. | Maohao Shen, Yuheng Bu, Prasanna Sattigeri, Soumya Ghosh, Subhro Das, Gregory W. Wornell |
| 2023 | EACL | Reliable Gradient-free and Likelihood-free Prompt Tuning. | Maohao Shen, Soumya Ghosh, Prasanna Sattigeri, Subhro Das, Yuheng Bu, Gregory W. Wornell |
| 2022 | AISTATS | Measuring the robustness of Gaussian processes to kernel choice. | William T. Stephenson, Soumya Ghosh, Tin D. Nguyen, Mikhail Yurochkin, Sameer K. Deshpande, Tamara Broderick |
| 2022 | COMAD | Uncertainty Quantification 360: A Hands-on Tutorial. | Soumya Ghosh, Q. Vera Liao, Karthikeyan Natesan Ramamurthy, Jir Navrtil, Prasanna Sattigeri, Kush R. Varshney, Yunfeng Zhang |
| 2021 | UAI | Post-hoc loss-calibration for Bayesian neural networks. | Meet P. Vadera, Soumya Ghosh, Kenney Ng, Benjamin M. Marlin |
| 2020 | ICML | Model Fusion with Kullback-Leibler Divergence. | Sebastian Claici, Mikhail Yurochkin, Soumya Ghosh, Justin Solomon |
| 2019 | AAAI | Unsupervised Learning with Contrastive Latent Variable Models. | Kristen A. Severson, Soumya Ghosh, Kenney Ng |
| 2019 | ICML | Bayesian Nonparametric Federated Learning of Neural Networks. | Mikhail Yurochkin, Mayank Agarwal, Soumya Ghosh, Kristjan H. Greenewald, Trong Nghia Hoang, Yasaman Khazaeni |
| 2018 | AAAI | Early Prediction of Diabetes Complications from Electronic Health Records: A Multi-Task Survival Analysis Approach. | Bin Liu, Ying Li, Zhaonan Sun, Soumya Ghosh, Kenney Ng |
| 2018 | ICML | Structured Variational Learning of Bayesian Neural Networks with Horseshoe Priors. | Soumya Ghosh, Jiayu Yao, Finale Doshi-Velez |
| 2017 | AMIA | A Data-Driven Method for Generating Robust Symptom Onset Indicators in Disease Registry Data. | Zhaonan Sun, Ying Li, Soumya Ghosh, Yu Cheng, Amrita Mohan, Cristina Sampaio |
| 2017 | CVPR | Personalizing Gesture Recognition Using Hierarchical Bayesian Neural Networks. | Ajjen Joshi, Soumya Ghosh, Margrit Betke, Stan Sclaroff, Hanspeter Pfister |
| 2016 | AAAI | Assumed Density Filtering Methods for Learning Bayesian Neural Networks. | Soumya Ghosh, Francesco Maria Delle Fave, Jonathan S. Yedidia |
| 2014 | UAI | Nonparametric Clustering with Distance Dependent Hierarchies. | Soumya Ghosh, Michalis Raptis, Leonid Sigal, Erik B. Sudderth |
| 2012 | CVPR | Nonparametric learning for layered segmentation of natural images. | Soumya Ghosh, Erik B. Sudderth |
| 2010 | ICRA | A segmentation guided label propagation scheme for autonomous navigation. | Soumya Ghosh, Jane Mulligan |
| 2009 | IJCNN | Using weak supervision in learning Gaussian mixture models. | Soumya Ghosh, Soundararajan Srinivasan, Burton Andrews |
| 2009 | WACV | A general framework for reconciling multiple weak segmentations of an image. | Soumya Ghosh, Joseph J. Pfeiffer III, Jane Mulligan |
| 2007 | AAAI | Machine Learning for Automatic Mapping of Planetary Surfaces. | Tomasz F. Stepinski, Soumya Ghosh, Ricardo Vilalta |
| 2006 | DIS | Automatic Recognition of Landforms on Mars Using Terrain Segmentation and Classification. | Tomasz F. Stepinski, Soumya Ghosh, Ricardo Vilalta |