Finzi, Marc

15 publications

NeurIPS 2024 Diffusing Differentiable Representations Yash Savani, Marc Finzi, J. Zico Kolter

NeurIPS 2024 Searching for Efficient Linear Layers over a Continuous Space of Structured Matrices Andres Potapczynski, Shikai Qiu, Marc Finzi, Christopher Ferri, Zixi Chen, Micah Goldblum, C. Bayan Bruss, Christopher De Sa, Andrew Gordon Wilson

NeurIPS 2024 Unlocking Tokens as Data Points for Generalization Bounds on Larger Language Models Sanae Lotfi, Yilun Kuang, Brandon Amos, Micah Goldblum, Marc Finzi, Andrew Gordon Wilson

NeurIPS 2023 CoLA: Exploiting Compositional Structure for Automatic and Efficient Numerical Linear Algebra Andres Potapczynski, Marc Finzi, Geoff Pleiss, Andrew G Wilson

NeurIPS 2023 Large Language Models Are Zero-Shot Time Series Forecasters Nate Gruver, Marc Finzi, Shikai Qiu, Andrew G Wilson

NeurIPSW 2023 Non-Vacuous Generalization Bounds for Large Language Models Sanae Lotfi, Marc Finzi, Yilun Kuang, Tim Rudner, Micah Goldblum, Andrew Wilson

NeurIPS 2022 PAC-Bayes Compression Bounds so Tight That They Can Explain Generalization Sanae Lotfi, Marc Finzi, Sanyam Kapoor, Andres Potapczynski, Micah Goldblum, Andrew G Wilson

ICML 2021 A Practical Method for Constructing Equivariant Multilayer Perceptrons for Arbitrary Matrix Groups Marc Finzi, Max Welling, Andrew Gordon Wilson

NeurIPS 2021 Residual Pathway Priors for Soft Equivariance Constraints Marc Finzi, Gregory Benton, Andrew G Wilson

ICML 2021 SKIing on Simplices: Kernel Interpolation on the Permutohedral Lattice for Scalable Gaussian Processes Sanyam Kapoor, Marc Finzi, Ke Alexander Wang, Andrew Gordon Gordon Wilson

ICML 2020 Generalizing Convolutional Neural Networks for Equivariance to Lie Groups on Arbitrary Continuous Data Marc Finzi, Samuel Stanton, Pavel Izmailov, Andrew Gordon Wilson

NeurIPS 2020 Learning Invariances in Neural Networks from Training Data Gregory Benton, Marc Finzi, Pavel Izmailov, Andrew G Wilson

ICML 2020 Semi-Supervised Learning with Normalizing Flows Pavel Izmailov, Polina Kirichenko, Marc Finzi, Andrew Gordon Wilson

NeurIPS 2020 Simplifying Hamiltonian and Lagrangian Neural Networks via Explicit Constraints Marc Finzi, Ke Alexander Wang, Andrew G Wilson

ICLR 2019 There Are Many Consistent Explanations of Unlabeled Data: Why You Should Average Ben Athiwaratkun, Marc Finzi, Pavel Izmailov, Andrew Gordon Wilson