Rethinking skip connection model as a learnable Markov chain.
Dengsheng ChenJie HuWenwen QiangXiaoming WeiEnhua WuPublished in: ICLR (2023)
Keyphrases
- markov chain
- markov model
- markov process
- monte carlo simulation
- stochastic process
- transition probabilities
- statistical model
- stationary distribution
- experimental data
- steady state
- learning algorithm
- random walk
- monte carlo
- closed form
- mathematical model
- maximum likelihood
- stochastic processes
- least squares
- probability distribution
- bayesian networks