# LG AI Research — [ICLR 2021] Part 2: Generative Model Trends at ICLR 2021

- Company: LG AI Research (lgresearch.ai)
- Announced: 2021-06-25
- Category: not stated
- Coverage: not counted
- Announcement: no
- Group: routine
- Source: https://www.lgresearch.ai/blog/view?seq=126
- Record: https://forck.live/items/4988-iclr-2021-part-2-generative-model-trends-at-iclr-2021
- Subject: EXAONE

This blog post from LG AI Research discusses generative model trends at ICLR 2021, highlighting two notable papers: 'Score-based Generative Modeling through Stochastic Differential Equation' and 'VAEBM: A Symbiosis between Variational Autoencoders and Energy-Based Models'.

## Evidence

Verbatim from https://www.lgresearch.ai/blog/view?seq=126:

> Among a variety of academic papers available at ICLR 2021, which was held online from May 3 to 7, two researchers of LG AI Research who participated in the event would like to introduce to you two papers they have found particularly impressive.

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Record: https://forck.live/items/4988-iclr-2021-part-2-generative-model-trends-at-iclr-2021
Catalogue: https://forck.live/llms.txt
Current issue: https://forck.live/feed.md