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Beomsu Kim

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@bskim98

Ph.D. student @ Graduate School of AI, KAIST
Ex-intern @ Apple MLR, Sony AI
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Beomsu Kim Verified account @bskim98
(1/9)🧠World models don’t just need more memory. They need the right memory to predict what happens next.

We introduce FAR (Future-Aware Recall), a principled framework that learns episodic recall for world models:

🏆Beats hand-designed recall—even with the same cues
🎛️Automatically learns which recall cues to trust for each query, among all available cues
🔄Recalls the right state, even as the environment changes

Huge thanks to my collaborators @JCJesseLai, @nguyencongbacbk, @_amirbar, Jong Chul Ye, and @mittu1204 for making this work possible!
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Beomsu Kim Verified account @bskim98
My paper written during internship at Apple MLR Paris is on arXiv now! It wouldn't have been possible without support from all my collaborators @JamesTThorn, @GuanHsieh, @bahjat_kawar, Michal Klein, Marco Cuturi, and my advisor Jong Chul Ye!

x.com/JamesTThorn/st…
No distillation, no perceptual losses - no problem!

Check out recent work on fast flows with ReFlow by @bskim98

- Key choices: high pass filter loss, loss weight, dropout, time/step schedules, real data coupling
- Insights into struggles with OT methods
arxiv.org/abs/2410.07815
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