Search Results for author:
Found 4 papers, 0 papers with code
Pattern formation in dense populations studied by inference of nonlinear diffusion-reaction mechanisms
The biological and chemical elements that form the basis of this process, like cells and proteins, occupy finite mass and volume and interact during migration.
FP-IRL: Fokker-Planck-based Inverse Reinforcement Learning -- A Physics-Constrained Approach to Markov Decision Processes
We identify specific manifestations of this isomorphism and use them to create a novel physics-aware IRL algorithm, FP-IRL, which can simultaneously infer the transition and reward functions using only observed trajectories.
Partial differential equation-based inference of migration and proliferation mechanisms in cancer cell populations
Targeting signaling pathways that drive cancer cell migration or proliferation is a common therapeutic approach.
Generative and discriminative training of Boltzmann machine through Quantum annealing
A hybrid quantum-classical method for learning Boltzmann machines (BM) for a generative and discriminative task is presented.
