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Trabucco, Brandon
20 publications
ICLRW
2025
Adaptively-Labeled Vision Datasets via Instance-Level Retrieval
Brandon Trabucco
,
Rishav Mukherji
,
Yutong Bai
,
Ruslan Salakhutdinov
ICLRW
2025
Towards Internet-Scale Training for Agents
Brandon Trabucco
,
Gunnar A Sigurdsson
,
Robinson Piramuthu
,
Ruslan Salakhutdinov
ICLR
2025
Wayward Concepts in Multimodal Models
Brandon Trabucco
,
Max A Gurinas
,
Kyle Doherty
,
Russ Salakhutdinov
ICLR
2024
Effective Data Augmentation with Diffusion Models
Brandon Trabucco
,
Kyle Doherty
,
Max A Gurinas
,
Ruslan Salakhutdinov
NeurIPSW
2024
Leveraging Foundation Models for Data-Limited Ecological Applications
Kyle Doherty
,
Max A Gurinas
,
Erik Samsoe
,
Charles Casper
,
Beau G Larkin
,
Philip W. Ramsey
,
Brandon Trabucco
,
Russ Salakhutdinov
NeurIPS
2024
Stylus: Automatic Adapter Selection for Diffusion Models
Michael Luo
,
Justin Wong
,
Brandon Trabucco
,
Yanping Huang
,
Joseph E. Gonzalez
,
Zhifeng Chen
,
Ruslan Salakhutdinov
,
Ion Stoica
NeurIPSW
2024
Understanding Visual Concepts Across Models
Brandon Trabucco
,
Max A Gurinas
,
Kyle Doherty
,
Russ Salakhutdinov
NeurIPSW
2024
Understanding Visual Concepts Across Models
Brandon Trabucco
,
Max A Gurinas
,
Kyle Doherty
,
Russ Salakhutdinov
NeurIPSW
2024
Understanding Visual Concepts Across Models
Brandon Trabucco
,
Max A Gurinas
,
Kyle Doherty
,
Russ Salakhutdinov
NeurIPSW
2024
Understanding Visual Concepts Across Models
Brandon Trabucco
,
Max A Gurinas
,
Kyle Doherty
,
Russ Salakhutdinov
ICLR
2023
A Simple Approach for Visual Room Rearrangement: 3D Mapping and Semantic Search
Brandon Trabucco
,
Gunnar A Sigurdsson
,
Robinson Piramuthu
,
Gaurav S. Sukhatme
,
Ruslan Salakhutdinov
ICLRW
2023
Effective Data Augmentation with Diffusion Models
Brandon Trabucco
,
Kyle Doherty
,
Max Gurinas
,
Ruslan Salakhutdinov
NeurIPSW
2023
Effective Data Augmentation with Diffusion Models
Brandon Trabucco
,
Kyle Doherty
,
Max Gurinas
,
Ruslan Salakhutdinov
NeurIPSW
2023
Effective Data Augmentation with Diffusion Models
Brandon Trabucco
,
Kyle Doherty
,
Max Gurinas
,
Ruslan Salakhutdinov
ICML
2022
AnyMorph: Learning Transferable Polices by Inferring Agent Morphology
Brandon Trabucco
,
Mariano Phielipp
,
Glen Berseth
ICML
2022
Design-Bench: Benchmarks for Data-Driven Offline Model-Based Optimization
Brandon Trabucco
,
Xinyang Geng
,
Aviral Kumar
,
Sergey Levine
ICLRW
2022
Learning Transferable Policies by Inferring Agent Morphology
Brandon Trabucco
,
Mariano Phielipp
,
Glen Berseth
ICML
2021
Conservative Objective Models for Effective Offline Model-Based Optimization
Brandon Trabucco
,
Aviral Kumar
,
Xinyang Geng
,
Sergey Levine
ICLR
2021
Discovering Non-Monotonic Autoregressive Orderings with Variational Inference
Xuanlin Li
,
Brandon Trabucco
,
Dong Huk Park
,
Michael Luo
,
Sheng Shen
,
Trevor Darrell
,
Yang Gao
ICLR
2019
Synthetic Datasets for Neural Program Synthesis
Richard Shin
,
Neel Kant
,
Kavi Gupta
,
Chris Bender
,
Brandon Trabucco
,
Rishabh Singh
,
Dawn Song