Lifted Auto-Context Forests for Brain Tumour Segmentation. - Loïc Le Folgoc; Aditya V. Nori; Siddharth Ancha; Antonio Criminisi (BrainLes@MICCAI, 2016)

Measuring the reliability of MCMC inference with bidirectional Monte Carlo. - Roger B. Grosse; Siddharth Ancha; Daniel M. Roy 001 (NIPS, 2016)

Autofocus Layer for Semantic Segmentation. - Yao Qin 001; Konstantinos Kamnitsas; Siddharth Ancha; Jay Nanavati; Garrison W. Cottrell; Antonio Criminisi; Aditya V. Nori (MICCAI (3), 2018)

Combining Deep Learning and Verification for Precise Object Instance Detection. - Siddharth Ancha; Junyu Nan; David Held (CoRL, 2019)

Active Perception Using Light Curtains for Autonomous Driving. - Siddharth Ancha; Yaadhav Raaj; Peiyun Hu; Srinivasa G. Narasimhan; David Held (ECCV (5), 2020)

Uncertainty-aware Self-supervised 3D Data Association. - Jianren Wang; Siddharth Ancha; Yi-Ting Chen 001; David Held (IROS, 2020)

Robust Instance Tracking via Uncertainty Flow. - Jianing Qian; Junyu Nan; Siddharth Ancha; Brian Okorn; David Held (CoRR, 2020)

Exploiting & Refining Depth Distributions With Triangulation Light Curtains. - Yaadhav Raaj; Siddharth Ancha; Robert Tamburo; David Held; Srinivasa G. Narasimhan (CVPR, 2021)

Active Safety Envelopes using Light Curtains with Probabilistic Guarantees. - Siddharth Ancha; Gaurav Pathak; Srinivasa G. Narasimhan; David Held (Robotics: Science and Systems, 2021)

Deep Evidential Uncertainty Estimation for Semantic Segmentation under Out-Of-Distribution Obstacles. - Siddharth Ancha; Philip R. Osteen; Nicholas Roy (ICRA, 2024)

Robot Safety Monitoring using Programmable Light Curtains. - Karnik Ram; Shobhit Aggarwal; Robert Tamburo; Siddharth Ancha; Srinivasa G. Narasimhan (CoRR, 2024)

EVORA: Deep Evidential Traversability Learning for Risk-Aware Off-Road Autonomy. - Xiaoyi Cai; Siddharth Ancha; Lakshay Sharma; Philip R. Osteen; Bernadette Bucher; Stephen Phillips; Jiuguang Wang; Michael Everett; Nicholas Roy; Jonathan P. How (IEEE Trans. Robotics, 2024)

Active velocity estimation using light curtains via self-supervised multi-armed bandits. - Siddharth Ancha; Gaurav Pathak; Ji Zhang; Srinivasa G. Narasimhan; David Held (Auton. Robots, 2024)

Streaming Flow Policy: Simplifying diffusion/flow-matching policies by treating action trajectories as flow trajectories. - Sunshine Jiang; Xiaolin Fang 002; Nicholas Roy; Tomás Lozano-Pérez; Leslie Pack Kaelbling; Siddharth Ancha (CoRR, 2025)

Anomalies by Synthesis: Anomaly Detection using Generative Diffusion Models for Off-Road Navigation. - Siddharth Ancha; Sunshine Jiang; Travis Manderson; Laura Brandt; Yilun Du; Philip R. Osteen; Nicholas Roy (CoRR, 2025)