Learning Compatibility Across Categories for Heterogeneous Item Recommendation. - Ruining He; Charles Packer; Julian J. McAuley (ICDM, 2016)

Monomer: Non-Metric Mixtures-of-Embeddings for Learning Visual Compatibility Across Categories. - Ruining He; Charles Packer; Julian J. McAuley (CoRR, 2016)

Differentiable Neural Network Architecture Search. - Richard Shin; Charles Packer; Dawn Song (ICLR (Workshop), 2018)

Visually-Aware Personalized Recommendation using Interpretable Image Representations. - Charles Packer; Julian J. McAuley; Arnau Ramisa (CoRR, 2018)

Assessing Generalization in Deep Reinforcement Learning. - Charles Packer; Katelyn Gao; Jernej Kos; Philipp Krähenbühl; Vladlen Koltun; Dawn Song (CoRR, 2018)

Contingencies from Observations: Tractable Contingency Planning with Learned Behavior Models. - Nicholas Rhinehart; Jeff He; Charles Packer; Matthew A. Wright; Rowan McAllister; Joseph E. Gonzalez; Sergey Levine (ICRA, 2021)

Hindsight Task Relabelling: Experience Replay for Sparse Reward Meta-RL. - Charles Packer; Pieter Abbeel; Joseph E. Gonzalez (NeurIPS, 2021)

Is Anyone There? Learning a Planner Contingent on Perceptual Uncertainty. - Charles Packer; Nicholas Rhinehart; Rowan Thomas McAllister; Matthew A. Wright; Xin Wang 066; Jeff He; Sergey Levine; Joseph E. Gonzalez (CoRL, 2022)

MemGPT: Towards LLMs as Operating Systems. - Charles Packer; Vivian Fang; Shishir G. Patil; Kevin Lin; Sarah Wooders; Joseph E. Gonzalez (CoRR, 2023)

CARFF: Conditional Auto-Encoded Radiance Field for 3D Scene Forecasting. - Jiezhi Yang; Khushi Desai; Charles Packer; Harshil Bhatia; Nicholas Rhinehart; Rowan McAllister; Joseph E. Gonzalez (ECCV (89), 2024)

Sleep-time Compute: Beyond Inference Scaling at Test-time. - Kevin Lin; Charlie Snell; Yu Wang; Charles Packer; Sarah Wooders; Ion Stoica; Joseph E. Gonzalez (CoRR, 2025)