Towards Deeper Generative Architectures for GANs using Dense connections. - Samarth Tripathi; Renbo Tu (CoRR, 2018)

Federated Hyperparameter Tuning: Challenges, Baselines, and Connections to Weight-Sharing. - Mikhail Khodak; Renbo Tu; Tian Li 005; Liam Li; Maria-Florina Balcan; Virginia Smith; Ameet Talwalkar (NeurIPS, 2021)

NAS-Bench-360: Benchmarking Diverse Tasks for Neural Architecture Search. - Renbo Tu; Mikhail Khodak; Nicholas Roberts; Ameet Talwalkar (CoRR, 2021)

NAS-Bench-Suite-Zero: Accelerating Research on Zero Cost Proxies. - Arjun Krishnakumar; Colin White; Arber Zela; Renbo Tu; Mahmoud Safari; Frank Hutter (NeurIPS, 2022)

NAS-Bench-360: Benchmarking Neural Architecture Search on Diverse Tasks. - Renbo Tu; Nicholas Roberts; Mikhail Khodak; Junhong Shen; Frederic Sala; Ameet Talwalkar (NeurIPS, 2022)

AutoML for Climate Change: A Call to Action. - Renbo Tu; Nicholas Roberts; Vishak Prasad; Sibasis Nayak; Paarth Jain; Frederic Sala; Ganesh Ramakrishnan; Ameet Talwalkar; Willie Neiswanger; Colin White (CoRR, 2022)

Speeding up Fourier Neural Operators via Mixed Precision. - Colin White; Renbo Tu; Jean Kossaifi; Gennady Pekhimenko; Kamyar Azizzadenesheli; Anima Anandkumar (CoRR, 2023)

Guaranteed Approximation Bounds for Mixed-Precision Neural Operators. - Renbo Tu; Colin White; Jean Kossaifi; Boris Bonev; Gennady Pekhimenko; Kamyar Azizzadenesheli; Anima Anandkumar (ICLR, 2024)

Proteus: Preserving Model Confidentiality during Graph Optimizations. - Yubo Gao; Maryam Haghifam; Christina Giannoula; Renbo Tu; Gennady Pekhimenko; Nandita Vijaykumar (MLSys, 2024)

Transformers Boost the Performance of Decision Trees on Tabular Data across Sample Sizes. - Mayuka Jayawardhana; Renbo Tu; Samuel Dooley; Valeriia Cherepanova; Andrew Gordon Wilson; Frank Hutter; Colin White; Tom Goldstein; Micah Goldblum (CoRR, 2025)

Neural Dynamic Modes: Computational Imaging of Dynamical Systems from Sparse Observations. - Ali SaraerToosi; Renbo Tu; Kamyar Azizzadenesheli; Aviad Levis (CoRR, 2025)