Jaron Maene
@jjcmoon.bsky.social
PhD student @ KU Leuven | maene.dev | #neurosymbolic learning & #probabilistic reasoning
We developed a library to make logical reasoning embarrasingly parallel on the GPU.
For those at ICLR 🇸🇬: you can get the juicy details tomorrow (poster #414 at 15:00). Hope to see you there!
For those at ICLR 🇸🇬: you can get the juicy details tomorrow (poster #414 at 15:00). Hope to see you there!
April 23, 2025 at 8:13 AM
We developed a library to make logical reasoning embarrasingly parallel on the GPU.
For those at ICLR 🇸🇬: you can get the juicy details tomorrow (poster #414 at 15:00). Hope to see you there!
For those at ICLR 🇸🇬: you can get the juicy details tomorrow (poster #414 at 15:00). Hope to see you there!
We generalize backpropgation to semirings, which allows us to unify many learning tasks. This is similar to how inference on probabilistic models has been generalised (e.g. sum-product and max-product algorithms)
February 27, 2025 at 11:46 PM
We generalize backpropgation to semirings, which allows us to unify many learning tasks. This is similar to how inference on probabilistic models has been generalised (e.g. sum-product and max-product algorithms)
We all know backpropagation can calculate gradients, but it can do much more than that!
Come to my #AAAI2025 oral tomorrow (11:45, Room 119B) to learn more.
Come to my #AAAI2025 oral tomorrow (11:45, Room 119B) to learn more.
February 27, 2025 at 11:45 PM
We all know backpropagation can calculate gradients, but it can do much more than that!
Come to my #AAAI2025 oral tomorrow (11:45, Room 119B) to learn more.
Come to my #AAAI2025 oral tomorrow (11:45, Room 119B) to learn more.