Benjamin Rhodes

13 papers A* 1A 1Journal 11
YearRankTypeTitle / Venue / Authors
2025 J jnl
Mofasa: A Step Change in Metal-Organic Framework Generation.
CoRR
Vaidotas Simkus, Anders Christensen, Steven Bennett, Ian Johnson, Mark Neumann, James Gin, Jonathan Godwin, Benjamin Rhodes
2024 J jnl
Orb: A Fast, Scalable Neural Network Potential.
CoRR
Mark Neumann, James Gin, Benjamin Rhodes, Steven Bennett, Zhiyi Li, Hitarth Choubisa, Arthur Hussey, Jonathan Godwin
2023 J jnl
Estimating the Density Ratio between Distributions with High Discrepancy using Multinomial Logistic Regression.
CoRR
Akash Srivastava, Seungwook Han, Kai Xu, Benjamin Rhodes, Michael U. Gutmann
2023 J jnl
Estimating the Density Ratio between Distributions with High Discrepancy using Multinomial Logistic Regression.
Trans. Mach. Learn. Res.
Akash Srivastava, Seungwook Han, Kai Xu, Benjamin Rhodes, Michael U. Gutmann
2023 J jnl
Variational Gibbs Inference for Statistical Model Estimation from Incomplete Data.
J. Mach. Learn. Res.
Vaidotas Simkus, Benjamin Rhodes, Michael U. Gutmann
2022 J jnl
Enhanced gradient-based MCMC in discrete spaces.
CoRR
Benjamin Rhodes, Michael U. Gutmann
2022 J jnl
Enhanced gradient-based MCMC in discrete spaces.
Trans. Mach. Learn. Res.
Benjamin Rhodes, Michael U. Gutmann
2022 J jnl
Statistical applications of contrastive learning.
CoRR
Michael U. Gutmann, Steven Kleinegesse, Benjamin Rhodes
2021 J jnl
Variational Gibbs inference for statistical model estimation from incomplete data.
CoRR
Vaidotas Simkus, Benjamin Rhodes, Michael U. Gutmann
2020 A* conf
Telescoping Density-Ratio Estimation.
NeurIPS
Benjamin Rhodes, Kai Xu, Michael U. Gutmann
2020 J jnl
Telescoping Density-Ratio Estimation.
CoRR
Benjamin Rhodes, Kai Xu, Michael U. Gutmann
2019 A conf
Variational Noise-Contrastive Estimation.
AISTATS
Benjamin Rhodes, Michael U. Gutmann
2018 J jnl
Variational Noise-Contrastive Estimation.
CoRR
Benjamin Rhodes, Michael U. Gutmann