Best Paper Award at NeurIPS 2024

We are thrilled to share that NUS Computing’s Presidential Young Professor Kenji Kawaguchi has been awarded the Best Paper Award at NeurIPS 2024, one of the world’s premier AI conferences!

Presidential Young Professor Kenji Kawaguchi’s paper, “Stochastic Taylor Derivative Estimator: Efficient Amortization for Arbitrary Differential Operators,” with NUS PhD students Shi Zekun and Hu Zheyuan and collaborator Lin Min from Sea AI Lab, tackles a critical challenge in AI and computational mathematics—efficient computation of derivatives for complex systems. Their innovative approach provides efficient amortization, enabling faster and more accurate computation of derivatives across a wide range of applications.

This achievement highlights the significance of Kenji Kawaguchi’s contribution to both theoretical and practical advancements in AI. His work not only addresses computational efficiency but also opens doors for applying these methods to more complex problems in optimization, control systems, and beyond.

NeurIPS 2024 (10–15 December) brings together researchers and practitioners from across the globe, with the Best Paper Award being one of its most prestigious honours. Kenji Kawaguchi’s recognition is a proud moment for NUS School of Computing and underscores our commitment to advancing impactful research in AI.

To learn more about the award, visit: NeurIPS Best Paper Awards.

Congratulations to Kenji on this well-deserved recognition!

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