Recap of the ICLR 2025 in Singapore

The International Conference on Learning Representations (ICLR) 2025 in Singapore once again brought together leading researchers to discuss new findings in machine learning.

Dr. Lorenz Richter, Managing Director and CTO of dida, participated in the event, presenting dida's joint research about diffusion models, and discussing latest machine learning progress with fellow researchers.

dida presented two papers created in collaboration with the California Institute of Technology (Caltech), Cambridge University, the Karlsruhe Institute of Technology (KIT), and NVIDIA.

The first paper, "Underdamped Diffusion Bridges with Applications to Sampling" introduced a new approach for diffusion-based generative modeling, leveraging theoretical physics to improve simulation methods for specific sampling challenges.

The second paper, "Sequential Controlled Langevin Diffusions" (SCLD), explored a method that integrates Sequential Monte Carlo (SMC) with diffusion-based sampling techniques. This approach demonstrated a reduction in training resource requirements for sampling models.

These contributions underscore dida's commitment to advancing AI research and developing solutions to complex problems. It is dida's mission to actively contribute to latest AI research and bridge the gap between world-class research and industrial application.

For more information about these studies or dida’s ongoing projects, please visit our company website or contact us directly.