Research

Conference and Journal Publications

1. Varun Babbar*, Zachery Boner*, Margo Seltzer, Cynthia Rudin
   Falling Trees: A Model Class for Interpretable Risk Prioritisation
   ICML, 2026 (Spotlight, ~Top 2% of submissions)
   Paper

2. Varun Babbar, Christopher Li, Chudi Zhong, Cynthia Rudin
   Diverse Representative Rashomon Sets for Sparse Generalized Additive Models
   NeurIPS, 2026
   Paper Code

3. Yixiao Wang*, Hayden McTavish*, Varun Babbar*, Margo Seltzer, Cynthia Rudin
   CLARITree: Cholesky and Lookahead Accelerations for Regression with Interpretable Piecewise Linear Trees
   ICML, 2026
   Paper

4. Zakk Heile*, Hayden McTavish*, Varun Babbar, Margo Seltzer, Cynthia Rudin
   From Rashomon Theory to PRAXIS: Efficient Decision Tree Rashomon Sets
   ICML, 2026
   Paper Code

5. Varun Babbar*, Stark Guo*, Cynthia Rudin
   “What is Different Between These Datasets?” A Framework for Explaining Data Distribution Shifts
   JMLR, 2025
   Paper

6. Varun Babbar*, Hayden McTavish*, Cynthia Rudin, Margo Seltzer
   Near-Optimal Decision Trees in a SPLIT Second
   ICML, 2025 (Oral, ~Top 1% of submissions)
   Paper Code

7. Varun Babbar, Umang Bhatt, Adrian Weller
   On the Utility of Prediction Sets in Human-AI Teams
   IJCAI, 2022 (Oral, Top 3% of submissions)
   Paper Poster

8. Antonios Georgiadis*, Varun Babbar*, Fran Silavong, Sean Moran, Rob Otter
   ST-FL: Style Transfer Preprocessing in Federated Learning for COVID-19 segmentation
   SPIE Medical Imaging, 2022
   Paper Poster

9. Aamir Mustafa, Aliaksei Mikhailiuk, Dan Andrei Iliescu, Varun Babbar, Rafal K Mantiuk
   Training a Task-Specific Image Reconstruction Loss
   WACV, 2022
   Paper Code

Workshop Publications

1. Zakk Heile, Varun Babbar, Hayden McTavish, Cynthia Rudin
   Efficient Rashomon Set Approximation for Decision Tree Models
   NeurIPS 2025, ML x OR Workshop
   Paper

2. Agathe Lherondelle, Varun Babbar, Yash Satsangi, Fran Silavong, Shaltiel Eloul, Sean Moran
   Topical: Learning Repository Embeddings from Source Code using Attention
   ICSE 2024, Workshop on Software Engineering Challenges in Financial Firms
   Paper

3. Varun Babbar, Umang Bhatt, Miri Zilka, Adrian Weller
   Conformal Prediction for Resource Prioritisation in Predicting Rare and Dangerous Outcomes
   NeurIPS 2022, Human-in-the-Loop Learning Workshop
   Paper Poster

Patents

1. Peter Maciver, Varun Babbar, Sean Moran
   Systems and Methods for Automated Application and Platform Generation, 2025
   Patent

2. Antonios Georgiadis, Fanny Silavong, Sean Moran, Rob Otter, Varun Babbar
   Systems and Methods For Noise Agnostic Federated Learning, 2023
   Patent

Thesis

1. Varun Babbar
   Set Valued Predictions for Human-AI Teams
   MEng Thesis - University of Cambridge (Prize for outstanding thesis)
   Thesis