Srishti Gautam

Researcher, Microsoft

Joined

July 2019

Names

Srishti Gautam (Preferred)

Emails

****@arkray.co.jp (Confirmed)

****@uit.no (Confirmed)

****@gmail.com (Confirmed)

****@microsoft.com (Confirmed)

Personal Links

Google Scholar

DBLP

Career & Education History

Researcher

Microsoft (microsoft.com)

2025 – Present

PhD student

UiT The Arctic University of Norway (uit.no)

2020 – 2024

MS student

Indian Institute of Technology Mandi (iitmandi.ac.in)

2015 – 2017

Advisors, Relations & Conflicts

PhD Advisor

Michael Kampffmeyer

2020 – 2024

PhD Advisor

Robert Jenssen

2020 – 2024

MS Advisor

Arnav Bhavsar

2015 – 2017

MS co-Advisor

Anil K Sao

2015 – 2017

Expertise

Evaluation of LLM Agents

2025 – Present

Explainable AI

2020 – Present

Medical Image Analysis

2015 – Present

Machine Learning

2015 – Present

Publications

Prototypical Self-Explainable Models Without Re-training
Srishti Gautam, Ahcene Boubekki, Marina MC Höhne, Michael Kampffmeyer
- Accepted by TMLR
- Readers: Everyone
Investigating the Fairness of Large Language Models for Predictions on Tabular Data
Yanchen Liu, Srishti Gautam, Jiaqi Ma, Himabindu Lakkaraju
- SoLaR Poster
- Readers: Everyone
Investigating the Fairness of Large Language Models for Predictions on Tabular Data
Yanchen Liu, Srishti Gautam, Jiaqi Ma, Himabindu Lakkaraju
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
This looks More Like that: Enhancing Self-Explaining Models by Prototypical Relevance Propagation
Srishti Gautam, Marina M.-C. Höhne, Stine Hansen, Robert Jenssen, Michael Kampffmeyer
- Published: 01 Jan 2023, Last Modified: 01 Aug 2023
- Pattern Recognit. 2023
- Readers: Everyone
ProtoVAE: A Trustworthy Self-Explainable Prototypical Variational Model
Srishti Gautam, Ahcene Boubekki, Stine Hansen, Suaiba Amina Salahuddin, Robert Jenssen, Marina MC Höhne, Michael Kampffmeyer
- Published: 31 Oct 2022, Last Modified: 08 Feb 2026
- NeurIPS 2022 Accept
- Readers: Everyone
ProtoVAE: A Trustworthy Self-Explainable Prototypical Variational Model
Srishti Gautam, Ahcene Boubekki, Stine Hansen, Suaiba Amina Salahuddin, Robert Jenssen, Marina M.-C. Höhne, Michael Kampffmeyer
- 2022 (modified: 24 Apr 2023)
- CoRR 2022
- Readers: Everyone
ProtoVAE: A Trustworthy Self-Explainable Prototypical Variational Model
Srishti Gautam, Ahcène Boubekki, Stine Hansen, Suaiba Amina Salahuddin, Robert Jenssen, Marina M.-C. Höhne, Michael Kampffmeyer
- Published: 01 Jan 2022, Last Modified: 12 May 2023
- NeurIPS 2022
- Readers: Everyone
Anomaly detection-inspired few-shot medical image segmentation through self-supervision with supervoxels
Stine Hansen, Srishti Gautam, Robert Jenssen, Michael Kampffmeyer
- Published: 01 Jan 2022, Last Modified: 01 Aug 2023
- Medical Image Anal. 2022
- Readers: Everyone
Anomaly Detection-Inspired Few-Shot Medical Image Segmentation Through Self-Supervision With Supervoxels
Stine Hansen, Srishti Gautam, Robert Jenssen, Michael Kampffmeyer
- Published: 01 Jan 2022, Last Modified: 01 Aug 2023
- CoRR 2022
- Readers: Everyone
Demonstrating the Risk of Imbalanced Datasets in Chest X-Ray Image-Based Diagnostics by Prototypical Relevance Propagation
Srishti Gautam, Marina M.-C. Höhne, Stine Hansen, Robert Jenssen, Michael Kampffmeyer
- Published: 01 Jan 2022, Last Modified: 01 Aug 2023
- ISBI 2022
- Readers: Everyone

View all 17 publications

Srishti Gautam

Names

Emails

Personal Links

Career & Education History

Advisors, Relations & Conflicts

Expertise

Publications

Co-Authors