Brandon Trabucco

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 18

Top Topics

Diffusion Models

Synthetic Datasets

Top Venues

Publications

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