Timezone: »
Panel Discussion 2
James Hays · James Bagnell · Raquel Urtasun
Event URL: https://us02web.zoom.us/j/83855151644?pwd=TGhQRXppZ1pKUmxURHYvU1RDbzBWUT09 »
Zoom webinar: https://us02web.zoom.us/j/83855151644?pwd=TGhQRXppZ1pKUmxURHYvU1RDbzBWUT09
Author Information
James Hays (Georgia Tech / Argo AI)
James Bagnell (Aurora Innovation)
Drew has worked for two decades at the intersection of machine learning and robotics both as a faculty member at Carnegie Mellon University and in engagements with industry from self-driving haul trucks to perception architecture for Uber’s self-driving cars and in his current role as CTO of Aurora Innovation.
Raquel Urtasun (Uber ATG & University of Toronto)
More from the Same Authors
-
2021 : Scalable Algorithms for Nonlinear Causal Inference »
Gokul Swamy · Sanjiban Choudhury · James Bagnell · Steven Wu -
2021 : Of Moments and Matching: A Game-Theoretic Framework for Closing the Imitation Gap »
Gokul Swamy · Sanjiban Choudhury · James Bagnell · Steven Wu -
2022 Poster: Causal Imitation Learning under Temporally Correlated Noise »
Gokul Swamy · Sanjiban Choudhury · James Bagnell · Steven Wu -
2022 Oral: Causal Imitation Learning under Temporally Correlated Noise »
Gokul Swamy · Sanjiban Choudhury · James Bagnell · Steven Wu -
2020 : Q&A: James Hays »
James Hays -
2020 : Invited Talk: What we learned from Argoverse Competitions (James Hays) »
James Hays -
2020 : Q&A: Raquel Urtasun »
Raquel Urtasun -
2020 : Invited Talk: Neural Motion Planning for Self-Driving (Raquel Urtasun) »
Raquel Urtasun -
2020 : Invited Talk: Raquel Urtasun »
Raquel Urtasun -
2020 Poster: Multi-Agent Routing Value Iteration Network »
Quinlan Sykora · Mengye Ren · Raquel Urtasun -
2020 Poster: Hierarchical Verification for Adversarial Robustness »
Cong Han Lim · Raquel Urtasun · Ersin Yumer -
2019 : Venkatraman Narayanan: "The Promise and Challenge of ML in Self-Driving" »
Venkatraman Narayanan · James Bagnell