Exploring Differentiable Programming Tensor Networks
Exploring Differentiable Programming Tensor Networks reveals several interesting facts.
- Yet another example from my demonstrative project on
- In Fall 2020 and Spring 2021, this was MIT's 18.337J/6.338J: Parallel Computing and Scientific Machine Learning course.
- We've discussed the idea of
- Presenter: Gordon Plotkin Presented at POPL'2020.
- Want to train programs to optimize themselves?
In-Depth Information on Differentiable Programming Tensor Networks
https://itsatcuny.org/calendar/quantum-inspired-machine-learning Lei Wang, Institute of Physics, Chinese Academy of Sciences ... Speaker: Hai-Jun Liao (CAS) Slide: https://www.issp.u-tokyo.ac.jp/public/caqmp2019/slides/726S_Liao.pdf CAQMP2019 ... A package about einsum, as well as Behind Every Great Deep Learning Framework Is An Even Greater
PyData Delhi 2019 Keynote on
Stay tuned for more updates related to Differentiable Programming Tensor Networks.