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