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Sungjin Ahn

18 papers hereh-index 171.6k citations28 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author2
  • middle author1
  • last author15

Across the 18 of 18 papers where every author was matched, so the position is known.

fields
  • cs.LG14
  • cs.CV4
same name
  • Sungjin Ahn — 16 papers, h 22
  • Sungjin Ahn — 12 papers, h 5
  • Sungjin Ahn — 5 papers, h 5
  • Sungjin Ahn — 3 papers, h 2
  • Sungjin Ahn — 3 papers, h 2

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20122024
most citedBayesian Posterior Sampling via Stochastic Gradient Fisher Scoring

111 citations · 218 across the 18 of their papers we have counts for

collaborators
Showing 2021Show all

4 papers · 1 filter

cs.LG2021★ 11 cited

DreamerPro: Reconstruction-Free Model-Based Reinforcement Learning with Prototypical Representations

Fei Deng, Ingook Jang, Sungjin Ahn

Top-performing Model-Based Reinforcement Learning (MBRL) agents, such as Dreamer, learn the world model by reconstructing the image observations. Hence, they often fail to discard…

cs.CV2021

Illiterate DALL-E Learns to Compose

Gautam Singh, Fei Deng, Sungjin Ahn

Although DALL-E has shown an impressive ability of composition-based systematic generalization in image generation, it requires the dataset of text-image pairs and the compositiona…

cs.LG2021★ 5 cited

Generative Video Transformer: Can Objects be the Words?

Yi-Fu Wu, Jaesik Yoon, Sungjin Ahn

Transformers have been successful for many natural language processing tasks. However, applying transformers to the video domain for tasks such as long-term video generation and sc…

cs.LG2021★ 7 cited

Structured World Belief for Reinforcement Learning in POMDP

Gautam Singh, Skand Peri, Junghyun Kim +2

Object-centric world models provide structured representation of the scene and can be an important backbone in reinforcement learning and planning. However, existing approaches suf…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.