Soumya Ghosh

According to our database, Soumya Ghosh authored at least 64 papers between 2006 and 2024.

Collaborative distances:

• Dijkstra number of four.
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2024

Are you using test log-likelihood correctly?

Sameer K. Deshpande, Soumya Ghosh, Tin D. Nguyen, Tamara Broderick

Trans. Mach. Learn. Res., 2024

When in Doubt, Cascade: Towards Building Efficient and Capable Guardrails.

Manish Nagireddy, Inkit Padhi, Soumya Ghosh, Prasanna Sattigeri

CoRR, 2024

Large Language Model Confidence Estimation via Black-Box Access.

Tejaswini Pedapati, Amit Dhurandhar, Soumya Ghosh, Soham Dan, Prasanna Sattigeri

CoRR, 2024

Trans-LoRA: towards data-free Transferable Parameter Efficient Finetuning.

Runqian Wang, Soumya Ghosh, David D. Cox, Diego Antognini, Aude Oliva, Rogério Feris, Leonid Karlinsky

CoRR, 2024

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

CoRR, 2024

Detectors for Safe and Reliable LLMs: Implementations, Uses, and Limitations.

Swapnaja Achintalwar, Adriana Alvarado Garcia, Ateret Anaby-Tavor, Ioana Baldini, Sara E. Berger, Bishwaranjan Bhattacharjee, Djallel Bouneffouf, Subhajit Chaudhury, Pin-Yu Chen, Lamogha Chiazor, Elizabeth M. Daly, Rogério Abreu de Paula, Pierre L. Dognin, Eitan Farchi, Soumya Ghosh, Michael Hind, Raya Horesh, George Kour, Ja Young Lee, Erik Miehling, Keerthiram Murugesan, Manish Nagireddy, Inkit Padhi, David Piorkowski, Ambrish Rawat, Orna Raz, Prasanna Sattigeri, Hendrik Strobelt, Sarathkrishna Swaminathan, Christoph Tillmann, Aashka Trivedi, Kush R. Varshney, Dennis Wei, Shalisha Witherspoon, Marcel Zalmanovici

CoRR, 2024

Improved Evidential Deep Learning via a Mixture of Dirichlet Distributions.

Jongha Jon Ryu, Maohao Shen, Soumya Ghosh, Yuheng Bu, Prasanna Sattigeri, Subhro Das, Gregory W. Wornell

CoRR, 2024

Thermometer: Towards Universal Calibration for Large Language Models.

Maohao Shen, Subhro Das, Kristjan H. Greenewald, Prasanna Sattigeri, Gregory W. Wornell, Soumya Ghosh

Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023

Assessment of Prediction Intervals Using Uncertainty Characteristics Curves.

Jirí Navrátil, Benjamin Elder, Matthew Arnold, Soumya Ghosh, Prasanna Sattigeri

CoRR, 2023

Reliable Gradient-free and Likelihood-free Prompt Tuning.

Maohao Shen, Soumya Ghosh, Prasanna Sattigeri, Subhro Das, Yuheng Bu, Gregory W. Wornell

Proceedings of the Findings of the Association for Computational Linguistics: EACL 2023, 2023

Post-hoc Uncertainty Learning Using a Dirichlet Meta-Model.

Maohao Shen, Yuheng Bu, Prasanna Sattigeri, Soumya Ghosh, Subhro Das, Gregory W. Wornell

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Identifying patterns in amyotrophic lateral sclerosis progression from sparse longitudinal data.

Divya Ramamoorthy, Kristen Severson, Soumya Ghosh, Karen Sachs, Emily G. Baxi, Alyssa N. Coyne, Elizabeth Mosmiller, Lindsey Hayes, Aianna Cerezo, Omar Ahmad, Promit Roy, Steven Zeiler, John W. Krakauer, Jonathan Li, Aneesh Donde, Nhan Huynh, Miriam Adam, Brook T. Wassie, Alexander LeNail, Natasha Leanna Patel-Murray, Yogindra Raghav, Velina Kozareva, Stanislav Tsitkov, Tobias Ehrenberger, Julia A. Kaye, Leandro Lima, Stacia K. Wyman, Edward Vertudes, Naufa Amirani, Krishna Raja, Reuben Thomas, Ryan G. Lim, Ricardo Miramontes, Jie Wu, Vineet Vaibhav, Andrea Matlock, Vidya Venkatraman, Ronald Holewenski, Niveda Sundararaman, Rakhi Pandey, Danica-Mae Manalo, Aaron Frank, Loren Ornelas, Lindsey Panther, Emilda Gomez, Erick Galvez, Daniel Pérez, Imara Meepe, Susan Lei, Louis Pinedo, Chunyan Liu, Ruby Moran, Dhruv Sareen, Barry Landin, Carla Agurto, Guillermo A. Cecchi, Raquel Norel, Sara Thrower, Sarah Luppino, Alanna Farrar, Lindsay Pothier, Hong Yu, Ervin Sinani, Prasha Vigneswaran, Alexander V. Sherman, S. Michelle Farr, Berhan Mandefro, Hannah Trost, Maria G. Banuelos, Veronica Garcia, Michael Workman, Richie Ho, Robert Baloh, Jennifer Roggenbuck, Matthew B. Harms, Carolyn Prina, Sarah Heintzman, Stephen Kolb, Jennifer Stocksdale, Keona Wang, Todd Morgan, Daragh Heitzman, Arish Jamil, Jennifer Jockel-Balsarotti, Elizabeth Karanja, Jesse Markway, Molly McCallum, Tim Miller, Ben Joslin, Deniz Alibazoglu, Senda Ajroud-Driss, Jay C. Beavers, Mary Bellard, Elizabeth Bruce, Nicholas J. Maragakis, Merit E. Cudkowicz, James D. Berry, Terri Thompson, Steven Finkbeiner, Leslie M. Thompson, Jennifer E. Van Eyk, Clive N. Svendsen, Jeffrey D. Rothstein, Jonathan D. Glass, Christina N. Fournier, Alexander Sherman, Christian Lunetta, David Walk, Ghazala Hayat, James Wymer, Kelly Gwathmey, Nicholas Olney, Terry Heiman-Patterson, Ximena Arcila-Londono, Kenneth Faulconer, Ervin Sanani, Alex Berger, Julia Mirochnick, Todd M. Herrington, Kenney Ng, Ernest Fraenkel

Nat. Comput. Sci., 2022

IoT and E-Learning with the Impact of COVID-19 Pandemic Lockdown on the Undergraduate University Student Blood Pressure Levels.

Talib A. Al-Sharify, Zinah A. Alshrefy, Hussein Ali Hussein, Zainab T. Al-Sharify, Helen Onyeaka, Mushtaq T. Al-Sharify, Soumya Ghosh

Proceedings of the Selected Papers of the Workshop on Emerging Technology Trends on the Smart Industry and the Internet of Things (TTSIIT 2022), 2022

Fair Infinitesimal Jackknife: Mitigating the Influence of Biased Training Data Points Without Refitting.

Prasanna Sattigeri, Soumya Ghosh, Inkit Padhi, Pierre L. Dognin, Kush R. Varshney

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Uncertainty Quantification 360: A Hands-on Tutorial.

Soumya Ghosh, Q. Vera Liao, Karthikeyan Natesan Ramamurthy, Jirí Navrátil, Prasanna Sattigeri, Kush R. Varshney, Yunfeng Zhang

Proceedings of the CODS-COMAD 2022: 5th Joint International Conference on Data Science & Management of Data (9th ACM IKDD CODS and 27th COMAD), Bangalore, India, January 8, 2022

Measuring the robustness of Gaussian processes to kernel choice.

William T. Stephenson, Soumya Ghosh, Tin D. Nguyen, Mikhail Yurochkin, Sameer K. Deshpande, Tamara Broderick

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

2021

DPVis: Visual Analytics With Hidden Markov Models for Disease Progression Pathways.

Bum Chul Kwon, Vibha Anand, Kristen A. Severson, Soumya Ghosh, Zhaonan Sun, Brigitte I. Frohnert, Markus Lundgren, Kenney Ng

IEEE Trans. Vis. Comput. Graph., 2021

Measuring the sensitivity of Gaussian processes to kernel choice.

William T. Stephenson, Soumya Ghosh, Tin D. Nguyen, Mikhail Yurochkin, Sameer K. Deshpande, Tamara Broderick

CoRR, 2021

Uncertainty Quantification 360: A Holistic Toolkit for Quantifying and Communicating the Uncertainty of AI.

Soumya Ghosh, Q. Vera Liao, Karthikeyan Natesan Ramamurthy, Jirí Navrátil, Prasanna Sattigeri, Kush R. Varshney, Yunfeng Zhang

CoRR, 2021

Uncertainty Characteristics Curves: A Systematic Assessment of Prediction Intervals.

Jirí Navrátil, Benjamin Elder, Matthew Arnold, Soumya Ghosh, Prasanna Sattigeri

CoRR, 2021

Post-hoc loss-calibration for Bayesian neural networks.

Meet P. Vadera, Soumya Ghosh, Kenney Ng, Benjamin M. Marlin

Proceedings of the Thirty-Seventh Conference on Uncertainty in Artificial Intelligence, 2021

EVA: Generating Longitudinal Electronic Health Records Using Conditional Variational Autoencoders.

Siddharth Biswal, Soumya Ghosh, Jon Duke, Bradley A. Malin, Walter F. Stewart, Cao Xiao, Jimeng Sun

Proceedings of the Machine Learning for Healthcare Conference, 2021

2020

Complication Risk Profiling in Diabetes Care: A Bayesian Multi-Task and Feature Relationship Learning Approach.

Bin Liu, Ying Li, Soumya Ghosh, Zhaonan Sun, Kenney Ng, Jianying Hu

IEEE Trans. Knowl. Data Eng., 2020

EVA: Generating Longitudinal Electronic Health Records Using Conditional Variational Autoencoders.

Siddharth Biswal, Soumya Ghosh, Jon Duke, Bradley A. Malin, Walter F. Stewart, Jimeng Sun

CoRR, 2020

Approximate Cross-Validation for Structured Models.

Soumya Ghosh, William T. Stephenson, Tin D. Nguyen, Sameer K. Deshpande, Tamara Broderick

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Personalized Input-Output Hidden Markov Models for Disease Progression Modeling.

Kristen A. Severson, Lana M. Chahine, Luba Smolensky, Kenney Ng, Jianying Hu, Soumya Ghosh

Proceedings of the Machine Learning for Healthcare Conference, 2020

Model Fusion with Kullback-Leibler Divergence.

Sebastian Claici, Mikhail Yurochkin, Soumya Ghosh, Justin Solomon

Proceedings of the 37th International Conference on Machine Learning, 2020

2019

Model Selection in Bayesian Neural Networks via Horseshoe Priors.

Soumya Ghosh, Jiayu Yao, Finale Doshi-Velez

J. Mach. Learn. Res., 2019

Quality of Uncertainty Quantification for Bayesian Neural Network Inference.

Jiayu Yao, Weiwei Pan, Soumya Ghosh, Finale Doshi-Velez

CoRR, 2019

DPVis: Visual Exploration of Disease Progression Pathways.

Bum Chul Kwon, Vibha Anand, Kristen A. Severson, Soumya Ghosh, Zhaonan Sun, Brigitte I. Frohnert, Markus Lundgren, Kenney Ng

CoRR, 2019

Statistical Model Aggregation via Parameter Matching.

Mikhail Yurochkin, Mayank Agarwal, Soumya Ghosh, Kristjan H. Greenewald, Trong Nghia Hoang

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Bayesian Nonparametric Federated Learning of Neural Networks.

Mikhail Yurochkin, Mayank Agarwal, Soumya Ghosh, Kristjan H. Greenewald, Trong Nghia Hoang, Yasaman Khazaeni

Proceedings of the 36th International Conference on Machine Learning, 2019

Unsupervised Learning with Contrastive Latent Variable Models.

Kristen A. Severson, Soumya Ghosh, Kenney Ng

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018

A Review on DNA Based Cryptographic Techniques.

Animesh Hazra, Soumya Ghosh, Sampad Jash

Int. J. Netw. Secur., 2018

Latent Projection BNNs: Avoiding weight-space pathologies by learning latent representations of neural network weights.

Melanie F. Pradier, Weiwei Pan, Jiayu Yao, Soumya Ghosh, Finale Doshi-Velez

CoRR, 2018

Simultaneous Modeling of Multiple Complications for Risk Profiling in Diabetes Care.

Bin Liu, Ying Li, Soumya Ghosh, Zhaonan Sun, Kenney Ng, Jianying Hu

CoRR, 2018

Structured Variational Learning of Bayesian Neural Networks with Horseshoe Priors.

Soumya Ghosh, Jiayu Yao, Finale Doshi-Velez

Proceedings of the 35th International Conference on Machine Learning, 2018

Context-Sensitive Prediction of Facial Expressivity Using Multimodal Hierarchical Bayesian Neural Networks.

Ajjen Joshi, Soumya Ghosh, Sarah Gunnery, Linda Tickle-Degnen, Stan Sclaroff, Margrit Betke

Proceedings of the 13th IEEE International Conference on Automatic Face & Gesture Recognition, 2018

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

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017

Is There a Priority Shift in Mental Health Clinical Trials?

Vibha Anand, Soumya Ghosh, Amit Anand

Proceedings of the MEDINFO 2017: Precision Healthcare through Informatics, 2017

Personalizing Gesture Recognition Using Hierarchical Bayesian Neural Networks.

Ajjen Joshi, Soumya Ghosh, Margrit Betke, Stan Sclaroff, Hanspeter Pfister

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

Exploring Factors that Associated with Missing Values in Observational Huntington's Disease Study Data.

Zhaonan Sun, Ying Li, Soumya Ghosh, Yu Cheng, Amrita Mohan, Cristina Sampaio, Jianying Hu

Proceedings of the Summit on Clinical Research Informatics, 2017

An Exploration of Latent Structure in Observational Huntington's Disease Studies.

Soumya Ghosh, Zhaonan Sun, Ying Li, Yu Cheng, Amrita Mohan, Cristina Sampaio, Jianying Hu

Proceedings of the Summit on Clinical Research Informatics, 2017

Clinical Trials.Gov: A Topical Analyses.

Vibha Anand, Amos Cahan, Soumya Ghosh

Proceedings of the Summit on Clinical Research Informatics, 2017

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

Proceedings of the AMIA 2017, 2017

2016

Graph theoretic interpretation of Bangla traditional grammar.

Samir Karmakar, Sayantani Banerjee, Soumya Ghosh

Proceedings of the 13th International Conference on Natural Language Processing, 2016

Deep State Space Models for Computational Phenotyping.

Soumya Ghosh, Yu Cheng, Zhaonan Sun

Proceedings of the 2016 IEEE International Conference on Healthcare Informatics, 2016

Assumed Density Filtering Methods for Learning Bayesian Neural Networks.

Soumya Ghosh, Francesco Maria Delle Fave, Jonathan S. Yedidia

Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

2015

Bayesian Nonparametric Discovery of Layers and Parts from Scenes and Objects.

Soumya Ghosh

PhD thesis, 2015

2014

Nonparametric Clustering with Distance Dependent Hierarchies.

Soumya Ghosh, Michalis Raptis, Leonid Sigal, Erik B. Sudderth

Proceedings of the Thirtieth Conference on Uncertainty in Artificial Intelligence, 2014

Investigation into machine learning algorithms as applied to motor cortex signals for classification of movement stages.

Robert L. Hollingshead, David Putrino, Soumya Ghosh, Tele Tan

Proceedings of the 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2014

2012

From Deformations to Parts: Motion-based Segmentation of 3D Objects.

Soumya Ghosh, Erik B. Sudderth, Matthew Loper, Michael J. Black

Proceedings of the Advances in Neural Information Processing Systems 25: 26th Annual Conference on Neural Information Processing Systems 2012. Proceedings of a meeting held December 3-6, 2012

Nonparametric learning for layered segmentation of natural images.

Soumya Ghosh, Erik B. Sudderth

Proceedings of the 2012 IEEE Conference on Computer Vision and Pattern Recognition, 2012

2011

A Granger Causality Measure for Point Process Models of Ensemble Neural Spiking Activity.

Sanggyun Kim, David Putrino, Soumya Ghosh, Emery N. Brown

PLoS Comput. Biol., 2011

Architecture of A Scalable Dynamic Parallel WebCrawler with High Speed Downloadable Capability for a Web Search Engine

Debajyoti Mukhopadhyay, Sajal Mukherjee, Soumya Ghosh, Saheli Kar, Young-Chon Kim

CoRR, 2011

Spatial distance dependent Chinese restaurant processes for image segmentation.

Soumya Ghosh, Andrei B. Ungureanu, Erik B. Sudderth, David M. Blei

Proceedings of the Advances in Neural Information Processing Systems 24: 25th Annual Conference on Neural Information Processing Systems 2011. Proceedings of a meeting held 12-14 December 2011, 2011

2010

Automatic Annotation of Planetary Surfaces With Geomorphic Labels.

Soumya Ghosh, Tomasz F. Stepinski, Ricardo Vilalta

IEEE Trans. Geosci. Remote. Sens., 2010

A segmentation guided label propagation scheme for autonomous navigation.

Soumya Ghosh, Jane Mulligan

Proceedings of the IEEE International Conference on Robotics and Automation, 2010

2009

A general framework for reconciling multiple weak segmentations of an image.

Soumya Ghosh, Joseph J. Pfeiffer III, Jane Mulligan

Proceedings of the IEEE Workshop on Applications of Computer Vision (WACV 2009), 2009

Topic model methods for automatically identifying out-of-scope resources.

Steven Bethard, Soumya Ghosh, James H. Martin, Tamara Sumner

Proceedings of the 2009 Joint International Conference on Digital Libraries, 2009

Using weak supervision in learning Gaussian mixture models.

Soumya Ghosh, Soundararajan Srinivasan, Burton Andrews

Proceedings of the International Joint Conference on Neural Networks, 2009

2007

Machine Learning Tools for Automatic Mapping of Martian Landforms.

Tomasz F. Stepinski, Ricardo Vilalta, Soumya Ghosh

IEEE Intell. Syst., 2007

Machine Learning for Automatic Mapping of Planetary Surfaces.

Tomasz F. Stepinski, Soumya Ghosh, Ricardo Vilalta

Proceedings of the Twenty-Second AAAI Conference on Artificial Intelligence, 2007

2006

Automatic Recognition of Landforms on Mars Using Terrain Segmentation and Classification.

Tomasz F. Stepinski, Soumya Ghosh, Ricardo Vilalta

Proceedings of the Discovery Science, 9th International Conference, 2006