CProp: Adaptive Learning Rate Scaling from Past Gradient Conformity. - Konpat Preechakul; Boonserm Kijsirikul (CoRR, 2019)

High resolution weakly supervised localization architectures for medical images. - Konpat Preechakul; Sira Sriswasdi; Boonserm Kijsirikul; Ekapol Chuangsuwanich (CoRR, 2020)

Set Prediction in the Latent Space. - Konpat Preechakul; Chawan Piansaddhayanon; Burin Naowarat; Tirasan Khandhawit; Sira Sriswasdi; Ekapol Chuangsuwanich (NeurIPS, 2021)

Diffusion Autoencoders: Toward a Meaningful and Decodable Representation. - Konpat Preechakul; Nattanat Chatthee; Suttisak Wizadwongsa; Supasorn Suwajanakorn (CVPR, 2022)

Guided Motion Diffusion for Controllable Human Motion Synthesis. - Korrawe Karunratanakul; Konpat Preechakul; Supasorn Suwajanakorn; Siyu Tang 001 (ICCV, 2023)

GMD: Controllable Human Motion Synthesis via Guided Diffusion Models. - Korrawe Karunratanakul; Konpat Preechakul; Supasorn Suwajanakorn; Siyu Tang 001 (CoRR, 2023)

Optimizing Diffusion Noise Can Serve As Universal Motion Priors. - Korrawe Karunratanakul; Konpat Preechakul; Emre Aksan; Thabo Beeler; Supasorn Suwajanakorn; Siyu Tang 001 (CVPR, 2024)

Visual Jenga: Discovering Object Dependencies via Counterfactual Inpainting. - Anand Bhattad; Konpat Preechakul; Alexei A. Efros (CoRR, 2025)

Accelerating Blockchain Scalability: New Models for Parallel Transaction Execution in the EVM. - Souradeep Das; Konpat Preechakul; Jonas Bäumer; Riddhi Patel; Jefferson Jinchuan Li (CoRR, 2025)

Decom-Renorm-Merge: Model Merging on the Right Space Improves Multitasking. - Yuatyong Chaichana; Thanapat Trachu; Peerat Limkonchotiwat; Konpat Preechakul; Tirasan Khandhawit; Ekapol Chuangsuwanich (CoRR, 2025)

The Serial Scaling Hypothesis. - Yuxi Liu; Konpat Preechakul; Kananart Kuwaranancharoen; Yutong Bai (CoRR, 2025)