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Marc Finzi
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2020 – today
- 2024
- [i20]Shikai Qiu, Andres Potapczynski, Marc Finzi, Micah Goldblum, Andrew Gordon Wilson:
Compute Better Spent: Replacing Dense Layers with Structured Matrices. CoRR abs/2406.06248 (2024) - [i19]Sanae Lotfi, Yilun Kuang, Brandon Amos, Micah Goldblum, Marc Finzi, Andrew Gordon Wilson:
Unlocking Tokens as Data Points for Generalization Bounds on Larger Language Models. CoRR abs/2407.18158 (2024) - 2023
- [c16]Marc Anton Finzi, Andres Potapczynski, Matthew Choptuik, Andrew Gordon Wilson:
A Stable and Scalable Method for Solving Initial Value PDEs with Neural Networks. ICLR 2023 - [c15]Nate Gruver, Marc Anton Finzi, Micah Goldblum, Andrew Gordon Wilson:
The Lie Derivative for Measuring Learned Equivariance. ICLR 2023 - [c14]Marc Anton Finzi, Anudhyan Boral, Andrew Gordon Wilson, Fei Sha, Leonardo Zepeda-Núñez:
User-defined Event Sampling and Uncertainty Quantification in Diffusion Models for Physical Dynamical Systems. ICML 2023: 10136-10152 - [c13]Nate Gruver, Marc Finzi, Shikai Qiu, Andrew Gordon Wilson:
Large Language Models Are Zero-Shot Time Series Forecasters. NeurIPS 2023 - [c12]Andres Potapczynski, Marc Finzi, Geoff Pleiss, Andrew Gordon Wilson:
CoLA: Exploiting Compositional Structure for Automatic and Efficient Numerical Linear Algebra. NeurIPS 2023 - [i18]Micah Goldblum, Marc Finzi, Keefer Rowan, Andrew Gordon Wilson:
The No Free Lunch Theorem, Kolmogorov Complexity, and the Role of Inductive Biases in Machine Learning. CoRR abs/2304.05366 (2023) - [i17]Marc Finzi, Andres Potapczynski, Matthew Choptuik, Andrew Gordon Wilson:
A Stable and Scalable Method for Solving Initial Value PDEs with Neural Networks. CoRR abs/2304.14994 (2023) - [i16]Marc Finzi, Anudhyan Boral, Andrew Gordon Wilson, Fei Sha, Leonardo Zepeda-Núñez:
User-defined Event Sampling and Uncertainty Quantification in Diffusion Models for Physical Dynamical Systems. CoRR abs/2306.07526 (2023) - [i15]Andres Potapczynski, Marc Finzi, Geoff Pleiss, Andrew Gordon Wilson:
CoLA: Exploiting Compositional Structure for Automatic and Efficient Numerical Linear Algebra. CoRR abs/2309.03060 (2023) - [i14]Nate Gruver, Marc Finzi, Shikai Qiu, Andrew Gordon Wilson:
Large Language Models Are Zero-Shot Time Series Forecasters. CoRR abs/2310.07820 (2023) - [i13]Sanae Lotfi, Marc Finzi, Yilun Kuang, Tim G. J. Rudner, Micah Goldblum, Andrew Gordon Wilson:
Non-Vacuous Generalization Bounds for Large Language Models. CoRR abs/2312.17173 (2023) - 2022
- [c11]Nate Gruver, Marc Anton Finzi, Samuel Don Stanton, Andrew Gordon Wilson:
Deconstructing the Inductive Biases of Hamiltonian Neural Networks. ICLR 2022 - [c10]Sanae Lotfi, Marc Finzi, Sanyam Kapoor, Andres Potapczynski, Micah Goldblum, Andrew Gordon Wilson:
PAC-Bayes Compression Bounds So Tight That They Can Explain Generalization. NeurIPS 2022 - [i12]Nate Gruver, Marc Finzi, Samuel Stanton, Andrew Gordon Wilson:
Deconstructing the Inductive Biases of Hamiltonian Neural Networks. CoRR abs/2202.04836 (2022) - [i11]Nate Gruver, Marc Finzi, Micah Goldblum, Andrew Gordon Wilson:
The Lie Derivative for Measuring Learned Equivariance. CoRR abs/2210.02984 (2022) - [i10]Sanae Lotfi, Marc Finzi, Sanyam Kapoor, Andres Potapczynski, Micah Goldblum, Andrew Gordon Wilson:
PAC-Bayes Compression Bounds So Tight That They Can Explain Generalization. CoRR abs/2211.13609 (2022) - 2021
- [c9]Marc Anton Finzi, Roberto Bondesan, Max Welling:
Probabilistic Numeric Convolutional Neural Networks. ICLR 2021 - [c8]Marc Finzi, Max Welling, Andrew Gordon Wilson:
A Practical Method for Constructing Equivariant Multilayer Perceptrons for Arbitrary Matrix Groups. ICML 2021: 3318-3328 - [c7]Sanyam Kapoor, Marc Finzi, Ke Alexander Wang, Andrew Gordon Wilson:
SKIing on Simplices: Kernel Interpolation on the Permutohedral Lattice for Scalable Gaussian Processes. ICML 2021: 5279-5289 - [c6]Marc Finzi, Greg Benton, Andrew Gordon Wilson:
Residual Pathway Priors for Soft Equivariance Constraints. NeurIPS 2021: 30037-30049 - [i9]Marc Finzi, Max Welling, Andrew Gordon Wilson:
A Practical Method for Constructing Equivariant Multilayer Perceptrons for Arbitrary Matrix Groups. CoRR abs/2104.09459 (2021) - [i8]Sanyam Kapoor, Marc Finzi, Ke Alexander Wang, Andrew Gordon Wilson:
SKIing on Simplices: Kernel Interpolation on the Permutohedral Lattice for Scalable Gaussian Processes. CoRR abs/2106.06695 (2021) - [i7]Marc Finzi, Gregory W. Benton, Andrew Gordon Wilson:
Residual Pathway Priors for Soft Equivariance Constraints. CoRR abs/2112.01388 (2021) - 2020
- [c5]Marc Finzi, Samuel Stanton, Pavel Izmailov, Andrew Gordon Wilson:
Generalizing Convolutional Neural Networks for Equivariance to Lie Groups on Arbitrary Continuous Data. ICML 2020: 3165-3176 - [c4]Pavel Izmailov, Polina Kirichenko, Marc Finzi, Andrew Gordon Wilson:
Semi-Supervised Learning with Normalizing Flows. ICML 2020: 4615-4630 - [c3]Gregory W. Benton, Marc Finzi, Pavel Izmailov, Andrew Gordon Wilson:
Learning Invariances in Neural Networks from Training Data. NeurIPS 2020 - [c2]Marc Finzi, Ke Alexander Wang, Andrew Gordon Wilson:
Simplifying Hamiltonian and Lagrangian Neural Networks via Explicit Constraints. NeurIPS 2020 - [i6]Marc Finzi, Samuel Stanton, Pavel Izmailov, Andrew Gordon Wilson:
Generalizing Convolutional Neural Networks for Equivariance to Lie Groups on Arbitrary Continuous Data. CoRR abs/2002.12880 (2020) - [i5]Marc Finzi, Roberto Bondesan, Max Welling:
Probabilistic Numeric Convolutional Neural Networks. CoRR abs/2010.10876 (2020) - [i4]Gregory W. Benton, Marc Finzi, Pavel Izmailov, Andrew Gordon Wilson:
Learning Invariances in Neural Networks. CoRR abs/2010.11882 (2020) - [i3]Marc Finzi, Ke Alexander Wang, Andrew Gordon Wilson:
Simplifying Hamiltonian and Lagrangian Neural Networks via Explicit Constraints. CoRR abs/2010.13581 (2020)
2010 – 2019
- 2019
- [c1]Ben Athiwaratkun, Marc Finzi, Pavel Izmailov, Andrew Gordon Wilson:
There Are Many Consistent Explanations of Unlabeled Data: Why You Should Average. ICLR (Poster) 2019 - [i2]Pavel Izmailov, Polina Kirichenko, Marc Finzi, Andrew Gordon Wilson:
Semi-Supervised Learning with Normalizing Flows. CoRR abs/1912.13025 (2019) - 2018
- [i1]Ben Athiwaratkun, Marc Finzi, Pavel Izmailov, Andrew Gordon Wilson:
Improving Consistency-Based Semi-Supervised Learning with Weight Averaging. CoRR abs/1806.05594 (2018)
Coauthor Index
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last updated on 2024-08-25 19:15 CEST by the dblp team
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