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Journal Articles
- 2023
[j2]Brennan Shacklett
, Luc Guy Rosenzweig, Zhiqiang Xie, Bidipta Sarkar, Andrew Szot, Erik Wijmans, Vladlen Koltun, Dhruv Batra, Kayvon Fatahalian:
An Extensible, Data-Oriented Architecture for High-Performance, Many-World Simulation. ACM Trans. Graph. 42(4): 90:1-90:13 (2023)- 2022
- [j1]Sadjad Fouladi, Brennan Shacklett, Fait Poms, Arjun Arora, Alex Ozdemir, Deepti Raghavan, Pat Hanrahan, Kayvon Fatahalian, Keith Winstein:
R2E2: low-latency path tracing of terabyte-scale scenes using thousands of cloud CPUs. ACM Trans. Graph. 41(4): 76:1-76:12 (2022)
Conference and Workshop Papers
- 2024
- [c5]Mukul Khanna, Yongsen Mao, Hanxiao Jiang, Sanjay Haresh, Brennan Shacklett, Dhruv Batra, Alexander Clegg, Eric Undersander, Angel X. Chang, Manolis Savva:
Habitat Synthetic Scenes Dataset (HSSD-200): An Analysis of 3D Scene Scale and Realism Tradeoffs for ObjectGoal Navigation. CVPR 2024: 16384-16393 - [c4]Luc Guy Rosenzweig, Brennan Shacklett, Warren Xia, Kayvon Fatahalian:
High-Throughput Batch Rendering for Embodied AI. SIGGRAPH Asia 2024: 74:1-74:9 - 2021
- [c3]Brennan Shacklett, Erik Wijmans, Aleksei Petrenko, Manolis Savva, Dhruv Batra, Vladlen Koltun, Kayvon Fatahalian:
Large Batch Simulation for Deep Reinforcement Learning. ICLR 2021 - [c2]Aleksei Petrenko, Erik Wijmans, Brennan Shacklett, Vladlen Koltun:
Megaverse: Simulating Embodied Agents at One Million Experiences per Second. ICML 2021: 8556-8566 - 2017
- [c1]Sadjad Fouladi, Riad S. Wahby, Brennan Shacklett, Karthikeyan Balasubramaniam, William Zeng, Rahul Bhalerao, Anirudh Sivaraman, George Porter, Keith Winstein:
Encoding, Fast and Slow: Low-Latency Video Processing Using Thousands of Tiny Threads. NSDI 2017: 363-376
Informal and Other Publications
- 2024
- [i6]Saman Kazemkhani, Aarav Pandya, Daphne Cornelisse, Brennan Shacklett, Eugene Vinitsky:
GPUDrive: Data-driven, multi-agent driving simulation at 1 million FPS. CoRR abs/2408.01584 (2024) - [i5]David Durst, Feng Xie, Vishnu Sarukkai, Brennan Shacklett, Iuri Frosio, Chen Tessler, Joohwan Kim, Carly Taylor, Gilbert Bernstein, Sanjiban Choudhury, Pat Hanrahan, Kayvon Fatahalian:
Learning to Move Like Professional Counter-Strike Players. CoRR abs/2408.13934 (2024) - [i4]Vishnu Sarukkai, Brennan Shacklett, Zander Majercik, Kush Bhatia, Christopher Ré, Kayvon Fatahalian:
Automated Rewards via LLM-Generated Progress Functions. CoRR abs/2410.09187 (2024) - 2023
- [i3]Mukul Khanna, Yongsen Mao, Hanxiao Jiang, Sanjay Haresh, Brennan Shacklett, Dhruv Batra, Alexander Clegg, Eric Undersander, Angel X. Chang, Manolis Savva:
Habitat Synthetic Scenes Dataset (HSSD-200): An Analysis of 3D Scene Scale and Realism Tradeoffs for ObjectGoal Navigation. CoRR abs/2306.11290 (2023) - 2021
- [i2]Brennan Shacklett, Erik Wijmans, Aleksei Petrenko, Manolis Savva, Dhruv Batra, Vladlen Koltun, Kayvon Fatahalian:
Large Batch Simulation for Deep Reinforcement Learning. CoRR abs/2103.07013 (2021) - [i1]Aleksei Petrenko, Erik Wijmans, Brennan Shacklett, Vladlen Koltun:
Megaverse: Simulating Embodied Agents at One Million Experiences per Second. CoRR abs/2107.08170 (2021)
Coauthor Index
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