Abstract. This paper introduces a generative model equivariant to Euclidean symmetries: E(n) Equivariant Normalizing Flows (E-NFs). To construct E ...
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In 2021, NeurIPS introduced a new track, Datasets and Benchmarks. The first year of that track, 2021, has its own proceedings, accessible by the link below.
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We show that diffusion models can achieve image sample quality superior to the current state-of-the-art generative models. We achieve this on unconditional ...
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Advances in Neural Information Processing Systems 34 (NeurIPS 2021) ; Beyond Value-Function Gaps: Improved Instance-Dependent Regret Bounds for Episodic ...
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We propose a new framework for estimating generative models via adversarial nets, in which we simultaneously train two models: a generative model G that ...
Missing: q= 2021/ file/ 21b5680d80f75a616096f2e791affac6- Supplemental.
We propose a novel, simple network architecture based solely onan attention mechanism, dispensing with recurrence and convolutions entirely.Experiments on two ...
Missing: q= 2021/ 21b5680d80f75a616096f2e791affac6- Supplemental.
A dual diffusion model enables 3D molecule generation and lead ...
www.ncbi.nlm.nih.gov › PMC10965937
Mar 26, 2024 · We have conducted an analysis of the chemical space distribution of molecules generated by other baseline models, as depicted in Supplementary ...
Thirty-Fifth Conference on Neural Information Processing Systems. NeurIPS 2021. Online Dec 07 2021 https://neurips.cc neurips2021pcs@gmail.com.
In this paper, we propose a synthesis-by-analysis learning framework to generate dance from music. In the analysis phase, we decompose a dance into a series of ...
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