Apivich H. (Kaotoo) (@apivich_h) 's Twitter Profile
Apivich H. (Kaotoo)

@apivich_h

PhD student at NUS. Sometimes posts videos to RandomMathsInc (youtube.com/c/RandomMathsIโ€ฆ).

ID: 1634409842772430850

linkhttp://apivich-h.github.io calendar_today11-03-2023 04:24:28

9 Tweet

15 Followers

16 Following

Bryan Kian Hsiang Low (@bryanklow) 's Twitter Profile Photo

Congrats to Apivich H. (Kaotoo) Dai Zhongxiang jasraj Rui Qiao Lin Xiaoqiang Xinyi Xu chuan-sheng see-kiong! Accepted papers ICML Conference #ICML2023: #ActiveLearning #NeuralTangentKernel #DeepNeuralNetworks #ShapleyValue #DataValuation #FederatedLearning #CausalInference #GaussianProcess

Congrats to <a href="/apivich_h/">Apivich H. (Kaotoo)</a> <a href="/Dai_Zh/">Dai Zhongxiang</a> jasraj <a href="/ray_qiaorui/">Rui Qiao</a> <a href="/xiaoqiang_98/">Lin Xiaoqiang</a> <a href="/michael_xinyi/">Xinyi Xu</a> chuan-sheng see-kiong! 

Accepted papers <a href="/icmlconf/">ICML Conference</a> #ICML2023: #ActiveLearning #NeuralTangentKernel #DeepNeuralNetworks #ShapleyValue #DataValuation #FederatedLearning #CausalInference #GaussianProcess
Bryan Kian Hsiang Low (@bryanklow) 's Twitter Profile Photo

Congrats to Rachael Sim Apivich H. (Kaotoo) Xinyi Xu for being selected as one of the 5 CS PhD students for the NUS Computing's Teaching Fellowship Scheme cos they are recognized as excellent teachers/mentors to our undergrad students!!!

Congrats to <a href="/RachaelSim2/">Rachael Sim</a> <a href="/apivich_h/">Apivich H. (Kaotoo)</a> <a href="/michael_xinyi/">Xinyi Xu</a> for being selected as one of the 5 CS PhD students for the <a href="/NUSComputing/">NUS Computing</a>'s Teaching Fellowship Scheme cos they are recognized as excellent teachers/mentors to our undergrad students!!!
Bryan Kian Hsiang Low (@bryanklow) 's Twitter Profile Photo

๐Ÿงช A key challenge to solving #InverseProblems, especially in science and engineering settings, is limited data and compute for simulations. ๐Ÿฅง The ICLR 2026 work of Apivich H. (Kaotoo) Gregory Lau , PIED, is an #ExperimentalDesign framework for #PDE inverse problems that efficiently