Strata-Gem: risk assessment through mission modeling. - Kevin Clark; Ethan Singleton; Stephen Tyree; John Hale (QoP, 2008)

GridSPiM: A Framework for Simple Locality and Containment in the Stochastic pi-Calculus. - Stephen Tyree; Rayus Kuplicki; Trevor Sarratt; Scott Fujan; John Hale (BICoB, 2009)

Parallel boosted regression trees for web search ranking. - Stephen Tyree; Kilian Q. Weinberger; Kunal Agrawal 001; Jennifer Paykin (WWW, 2011)

Non-linear Metric Learning. - Dor Kedem; Stephen Tyree; Kilian Q. Weinberger; Fei Sha; Gert R. G. Lanckriet (NIPS, 2012)

Predicting a multi-parametric probability map of active tumor extent using random forests. - Fred W. Prior; Sarah Jost Fouke; Tammie L. S. Benzinger; Alicia Boyd; Michael Chicoine; Sharath R. Cholleti; Matthew Kelsey; Bart Keogh; Lauren Kim; Mikhail Milchenko; David G. Politte; Stephen Tyree; et al. (EMBC, 2013)

Learning with Marginalized Corrupted Features. - Laurens van der Maaten; Minmin Chen; Stephen Tyree; Kilian Q. Weinberger (ICML (1), 2013)

Stochastic Neighbor Compression. - Matt J. Kusner; Stephen Tyree; Kilian Q. Weinberger; Kunal Agrawal 001 (ICML, 2014)

Stochastic Covariance Compression. - Matt J. Kusner; Nicholas I. Kolkin; Stephen Tyree; Kilian Q. Weinberger (CoRR, 2014)

Marginalizing Corrupted Features. - Laurens van der Maaten; Minmin Chen; Stephen Tyree; Kilian Q. Weinberger (CoRR, 2014)

Parallel Support Vector Machines in Practice. - Stephen Tyree; Jacob R. Gardner; Kilian Q. Weinberger; Kunal Agrawal 001; John Tran (CoRR, 2014)

Compressing Neural Networks with the Hashing Trick. - Wenlin Chen; James T. Wilson; Stephen Tyree; Kilian Q. Weinberger; Yixin Chen 001 (ICML, 2015)

Compressing Convolutional Neural Networks. - Wenlin Chen; James T. Wilson; Stephen Tyree; Kilian Q. Weinberger; Yixin Chen 001 (CoRR, 2015)

Compressed Support Vector Machines. - Zhixiang Eddie Xu; Jacob R. Gardner; Stephen Tyree; Kilian Q. Weinberger (CoRR, 2015)

Online Detection and Classification of Dynamic Hand Gestures with Recurrent 3D Convolutional Neural Networks. - Pavlo Molchanov 001; Xiaodong Yang 001; Shalini Gupta; Kihwan Kim; Stephen Tyree; Jan Kautz (CVPR, 2016)

Towards selecting robust hand gestures for automotive interfaces. - Shalini Gupta; Pavlo Molchanov 001; Xiaodong Yang 001; Kihwan Kim; Stephen Tyree; Jan Kautz (Intelligent Vehicles Symposium, 2016)

Compressing Convolutional Neural Networks in the Frequency Domain. - Wenlin Chen; James T. Wilson; Stephen Tyree; Kilian Q. Weinberger; Yixin Chen 001 (KDD, 2016)

GA3C: GPU-based A3C for Deep Reinforcement Learning. - Mohammad Babaeizadeh; Iuri Frosio; Stephen Tyree; Jason Clemons; Jan Kautz (CoRR, 2016)

Pruning Convolutional Neural Networks for Resource Efficient Transfer Learning. - Pavlo Molchanov 001; Stephen Tyree; Tero Karras; Timo Aila; Jan Kautz (CoRR, 2016)

A Lightweight Approach for On-the-Fly Reflectance Estimation. - Kihwan Kim; Jinwei Gu; Stephen Tyree; Pavlo Molchanov 001; Matthias Nießner; Jan Kautz (ICCV, 2017)

Reinforcement Learning through Asynchronous Advantage Actor-Critic on a GPU. - Mohammad Babaeizadeh; Iuri Frosio; Stephen Tyree; Jason Clemons; Jan Kautz (ICLR (Poster), 2017)

Pruning Convolutional Neural Networks for Resource Efficient Inference. - Pavlo Molchanov 001; Stephen Tyree; Tero Karras; Timo Aila; Jan Kautz (ICLR (Poster), 2017)

Sim-to-Real Transfer of Accurate Grasping with Eye-In-Hand Observations and Continuous Control. - Mengyuan Yan; Iuri Frosio; Stephen Tyree; Jan Kautz (CoRR, 2017)

Improving Landmark Localization With Semi-Supervised Learning. - Sina Honari; Pavlo Molchanov 001; Stephen Tyree; Pascal Vincent; Christopher J. Pal; Jan Kautz (CVPR, 2018)

Synthetically Trained Neural Networks for Learning Human-Readable Plans from Real-World Demonstrations. - Jonathan Tremblay; Thang To; Artem Molchanov; Stephen Tyree; Jan Kautz; Stan Birchfield (ICRA, 2018)

Importance Estimation for Neural Network Pruning. - Pavlo Molchanov 001; Arun Mallya; Stephen Tyree; Iuri Frosio; Jan Kautz (CVPR, 2019)

Exact Gaussian Processes on a Million Data Points. - Ke Alexander Wang; Geoff Pleiss; Jacob R. Gardner; Stephen Tyree; Kilian Q. Weinberger; Andrew Gordon Wilson (NeurIPS, 2019)

Indirect Object-to-Robot Pose Estimation from an External Monocular RGB Camera. - Jonathan Tremblay; Stephen Tyree; Terry Mosier; Stan Birchfield (IROS, 2020)

How to Close Sim-Real Gap? Transfer with Segmentation! - Mengyuan Yan; Qingyun Sun; Iuri Frosio; Stephen Tyree; Jan Kautz (CoRR, 2020)

Multi-view Fusion for Multi-level Robotic Scene Understanding. - Yunzhi Lin; Jonathan Tremblay; Stephen Tyree; Patricio A. Vela; Stan Birchfield (IROS, 2021)

NViSII: A Scriptable Tool for Photorealistic Image Generation. - Nathan Morrical; Jonathan Tremblay; Yunzhi Lin; Stephen Tyree; Stan Birchfield; Valerio Pascucci; Ingo Wald (CoRR, 2021)

MegaPose: 6D Pose Estimation of Novel Objects via Render & Compare. - Yann Labbé; Lucas Manuelli; Arsalan Mousavian; Stephen Tyree; Stan Birchfield; Jonathan Tremblay; Justin Carpentier; Mathieu Aubry; Dieter Fox; Josef Sivic (CoRL, 2022)

Neural Geometric Fabrics: Efficiently Learning High-Dimensional Policies from Demonstration. - Mandy Xie; Ankur Handa; Stephen Tyree; Dieter Fox; Harish Ravichandar; Nathan D. Ratliff; Karl Van Wyk (CoRL, 2022)

Keypoint-Based Category-Level Object Pose Tracking from an RGB Sequence with Uncertainty Estimation. - Yunzhi Lin; Jonathan Tremblay; Stephen Tyree; Patricio A. Vela; Stan Birchfield (ICRA, 2022)

Single-Stage Keypoint- Based Category-Level Object Pose Estimation from an RGB Image. - Yunzhi Lin; Jonathan Tremblay; Stephen Tyree; Patricio A. Vela; Stan Birchfield (ICRA, 2022)

6-DoF Pose Estimation of Household Objects for Robotic Manipulation: An Accessible Dataset and Benchmark. - Stephen Tyree; Jonathan Tremblay; Thang To; Jia Cheng; Terry Mosier; Jeffrey Smith 002; Stan Birchfield (IROS, 2022)

BundleSDF: Neural 6-DoF Tracking and 3D Reconstruction of Unknown Objects. - Bowen Wen; Jonathan Tremblay; Valts Blukis; Stephen Tyree; Thomas Müller 013; Alex Evans; Dieter Fox; Jan Kautz; Stan Birchfield (CVPR, 2023)

Parallel Inversion of Neural Radiance Fields for Robust Pose Estimation. - Yunzhi Lin; Thomas Müller 013; Jonathan Tremblay; Bowen Wen; Stephen Tyree; Alex Evans; Patricio A. Vela; Stan Birchfield (ICRA, 2023)

RGB-Only Reconstruction of Tabletop Scenes for Collision-Free Manipulator Control. - Zhenggang Tang; Balakumar Sundaralingam; Jonathan Tremblay; Bowen Wen; Ye Yuan; Stephen Tyree; Charles T. Loop; Alexander G. Schwing; Stan Birchfield (ICRA, 2023)

HANDAL: A Dataset of Real-World Manipulable Object Categories with Pose Annotations, Affordances, and Reconstructions. - Andrew Guo; Bowen Wen; Jianhe Yuan; Jonathan Tremblay; Stephen Tyree; Jeffrey Smith 002; Stan Birchfield (IROS, 2023)

Diff-DOPE: Differentiable Deep Object Pose Estimation. - Jonathan Tremblay; Bowen Wen; Valts Blukis; Balakumar Sundaralingam; Stephen Tyree; Stan Birchfield (CoRR, 2023)

RoboSpatial: Teaching Spatial Understanding to 2D and 3D Vision-Language Models for Robotics. - Chan Hee Song; Valts Blukis; Jonathan Tremblay; Stephen Tyree; Yu Su; Stan Birchfield (CVPR, 2025)

BOP Challenge 2024 on Model-Based and Model-Free 6D Object Pose Estimation. - Van Nguyen Nguyen; Stephen Tyree; Andrew Guo; Mederic Fourmy; Anas Gouda; Taeyeop Lee; Sungphill Moon; Hyeontae Son; Lukas Ranftl; Jonathan Tremblay; Eric Brachmann; Bertram Drost; et al. (CoRR, 2025)