Brandon Trabucco

22 papers A* 8Journal 13Unranked 1
YearRankTypeTitle / Venue / Authors
2025 J jnl
Towards Internet-Scale Training For Agents.
CoRR
Brandon Trabucco, Gunnar A. Sigurdsson, Robinson Piramuthu, Ruslan Salakhutdinov
2025 J jnl
Understanding Trade offs When Conditioning Synthetic Data.
CoRR
Brandon Trabucco, Qasim Wani, Benjamin Pikus, Vasu Sharma
2025 A* conf
Wayward Concepts In Multimodal Models.
ICLR
Brandon Trabucco, Max Gurinas, Kyle Doherty, Russ Salakhutdinov
2024 A* conf
Effective Data Augmentation With Diffusion Models.
ICLR
Brandon Trabucco, Kyle Doherty, Max Gurinas, Ruslan Salakhutdinov
2024 J jnl
Leafy Spurge Dataset: Real-world Weed Classification Within Aerial Drone Imagery.
CoRR
Kyle Doherty, Max Gurinas, Erik Samsoe, Charles Casper, Beau Larkin, Philip Ramsey, Brandon Trabucco, Ruslan Salakhutdinov
2024 A* conf
Stylus: Automatic Adapter Selection for Diffusion Models.
NeurIPS
Michael Luo, Justin Wong, Brandon Trabucco, Yanping Huang, Joseph E. Gonzalez, Zhifeng Chen, Ruslan Salakhutdinov, Ion Stoica
2024 J jnl
Stylus: Automatic Adapter Selection for Diffusion Models.
CoRR
Michael Luo, Justin Wong, Brandon Trabucco, Yanping Huang, Joseph E. Gonzalez, Zhifeng Chen, Ruslan Salakhutdinov, Ion Stoica
2024 J jnl
Understanding Visual Concepts Across Models.
CoRR
Brandon Trabucco, Max Gurinas, Kyle Doherty, Ruslan Salakhutdinov
2023 A* conf
A Simple Approach for Visual Room Rearrangement: 3D Mapping and Semantic Search.
ICLR
Brandon Trabucco, Gunnar A. Sigurdsson, Robinson Piramuthu, Gaurav S. Sukhatme, Ruslan Salakhutdinov
2023 J jnl
Effective Data Augmentation With Diffusion Models.
CoRR
Brandon Trabucco, Kyle Doherty, Max Gurinas, Ruslan Salakhutdinov
2022 J jnl
A Simple Approach for Visual Rearrangement: 3D Mapping and Semantic Search.
CoRR
Brandon Trabucco, Gunnar A. Sigurdsson, Robinson Piramuthu, Gaurav S. Sukhatme, Ruslan Salakhutdinov
2022 A* conf
AnyMorph: Learning Transferable Polices By Inferring Agent Morphology.
ICML
Brandon Trabucco, Mariano Phielipp, Glen Berseth
2022 J jnl
AnyMorph: Learning Transferable Polices By Inferring Agent Morphology.
CoRR
Brandon Trabucco, Mariano Phielipp, Glen Berseth
2022 A* conf
Design-Bench: Benchmarks for Data-Driven Offline Model-Based Optimization.
ICML
Brandon Trabucco, Xinyang Geng, Aviral Kumar, Sergey Levine
2022 J jnl
Design-Bench: Benchmarks for Data-Driven Offline Model-Based Optimization.
CoRR
Brandon Trabucco, Xinyang Geng, Aviral Kumar, Sergey Levine
2021 A* conf
Conservative Objective Models for Effective Offline Model-Based Optimization.
ICML
Brandon Trabucco, Aviral Kumar, Xinyang Geng, Sergey Levine
2021 J jnl
Conservative Objective Models for Effective Offline Model-Based Optimization.
CoRR
Brandon Trabucco, Aviral Kumar, Xinyang Geng, Sergey Levine
2021 A* conf
Discovering Non-monotonic Autoregressive Orderings with Variational Inference.
ICLR
Xuanlin Li, Brandon Trabucco, Dong Huk Park, Michael Luo, Sheng Shen, Trevor Darrell, Yang Gao
2021 J jnl
Discovering Non-monotonic Autoregressive Orderings with Variational Inference.
CoRR
Xuanlin Li, Brandon Trabucco, Dong Huk Park, Michael Luo, Sheng Shen, Trevor Darrell, Yang Gao
2019 J jnl
Inferring the Optimal Policy using Markov Chain Monte Carlo.
CoRR
Brandon Trabucco, Albert Qu, Simon Li, Ganeshkumar Ashokavardhanan
2019 — conf
Synthetic Datasets for Neural Program Synthesis.
ICLR (Poster)
Richard Shin, Neel Kant, Kavi Gupta, Chris Bender, Brandon Trabucco, Rishabh Singh, Dawn Song
2019 J jnl
Synthetic Datasets for Neural Program Synthesis.
CoRR
Richard Shin, Neel Kant, Kavi Gupta, Christopher Bender, Brandon Trabucco, Rishabh Singh, Dawn Song