Hi! 👋 I’m Konpat Preechakul or Ta (ต้า).

I’m a machine learning researcher. I want to make machines “understand” the world like we do (Generative models, 3D understanding, Online learning).

I’m a PhD student at Berkeley AI Research (advised by Prof. Alexei Efros).

Before that I worked as a research assistant at VISTEC, Thailand (advised by Prof. Supasorn Suwajanakorn), and studied a master degree at Chulalongkorn University, Thailand (advised by Prof. Boonserm Kijsirikul, Ekapol Chuangsuwanich, and Sira Sriswasdi).

<aside> 📋 More info

🎓 Google scholar

🎓 Semantic scholar

💼 LinkedIn

CV.pdf

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<aside> 🏠 Contact

✉️ konpat (at) berkeley.edu

🏠 Berkeley, CA

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Blog archives

Updates

Photos

Publications

• 2023 — GMD: Controllable Human Motion Synthesis via Guided Diffusion Models Korrawe Karunratanakul, Konpat Preechakul, Supasorn Suwajanakorn, Siyu Tang ICCV 2023 🥳

• 2022 — Diffusion Autoencoders: Toward a Meaningful and Decodable Representation Konpat Preechakul, Nattanat Chatthee, Suttisak Wizadwongsa, Supasorn Suwajanakorn CVPR 2022 (Oral)

• 2021 — Set Prediction in the Latent Spaces Konpat Preechakul, Chawan Piansaddhayanon, Burin Naowarat, Tirasan Khandhawit, Sira Sriswasdi, Ekapol Chuangsuwanich NeurIPS 2021

• 2020 — Improved image classification explainability with high-accuracy heatmaps Konpat Preechakul, Sira Sriswasdi, Boonserm Kijsirikul, Ekapol Chuangsuwanich iScience

Work experience

• 2021 — Research Assistant (Advisor: Supasorn Suwajanakorn) *Vision & Learning Lab, VISTEC*
• 2020 — Researcher in Chest X-Ray Report Generation Project Chulalongkorn University

Lecture experience

• 2021 — Invited lecture: Deep learning best practices Dept. Mathematics and Computer Science, Chulalongkorn University
• 2020 — Invited talk: Introduction to deep medical imaging Naresuan University