Konpat Preechakul

According to our database1, Konpat Preechakul authored at least 11 papers between 2019 and 2025.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Other 

Links

On csauthors.net:

Bibliography

2025
The Serial Scaling Hypothesis.
CoRR, July, 2025

Decom-Renorm-Merge: Model Merging on the Right Space Improves Multitasking.
CoRR, May, 2025

Accelerating Blockchain Scalability: New Models for Parallel Transaction Execution in the EVM.
CoRR, April, 2025

Visual Jenga: Discovering Object Dependencies via Counterfactual Inpainting.
CoRR, March, 2025

2024
Optimizing Diffusion Noise Can Serve As Universal Motion Priors.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023
GMD: Controllable Human Motion Synthesis via Guided Diffusion Models.
CoRR, 2023

Guided Motion Diffusion for Controllable Human Motion Synthesis.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022
Diffusion Autoencoders: Toward a Meaningful and Decodable Representation.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021
Set Prediction in the Latent Space.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

2020
High resolution weakly supervised localization architectures for medical images.
CoRR, 2020

2019
CProp: Adaptive Learning Rate Scaling from Past Gradient Conformity.
CoRR, 2019


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