Code and data to replicate experiments in "Markovian Flow Matching: Accelerating MCMC with Continuous Normalizing Flows".
Run experiments:
example="4-mode"
echo "$example..."
python3 multi_modal.py --example $example --learning_iter 1000 --mcmc_per_flow_steps -1
python3 multi_modal.py --example $example --learning_iter 1000 --mcmc_per_flow_steps 1000
python3 multi_modal.py --example $example --learning_iter 1000 --mcmc_per_flow_steps 100
python3 multi_modal.py --example $example --learning_iter 1000 --mcmc_per_flow_steps 100 --hutch
python3 multi_modal.py --example $example --learning_iter 1000 --mcmc_per_flow_steps 10
python3 multi_modal.py --example $example --learning_iter 1000 --mcmc_per_flow_steps 10 --hutch
python3 multi_modal.py --example $example --learning_iter 1000 --mcmc_per_flow_steps 1
python3 multi_modal.py --example $example --learning_iter 1000 --mcmc_per_flow_steps 1 --hutch
python3 multi_modal.py --example $example --learning_iter 1000 --mcmc_per_flow_steps 10 --do_fab
python3 multi_modal.py --example $example --learning_iter 1000 --mcmc_per_flow_steps 10 --do_dds
python3 multi_modal.py --example $example --learning_iter 1000 --mcmc_per_flow_steps 10 --do_flowmc
example="gaussian-mixture"
echo "$example..."
python3 multi_modal.py --example $example --learning_iter 10000 --mcmc_per_flow_steps -1
python3 multi_modal.py --example $example --learning_iter 10000 --mcmc_per_flow_steps 10000
python3 multi_modal.py --example $example --learning_iter 10000 --mcmc_per_flow_steps 1000
python3 multi_modal.py --example $example --learning_iter 10000 --mcmc_per_flow_steps 1000 --hutch
python3 multi_modal.py --example $example --learning_iter 10000 --mcmc_per_flow_steps 100
python3 multi_modal.py --example $example --learning_iter 10000 --mcmc_per_flow_steps 100 --hutch
python3 multi_modal.py --example $example --learning_iter 10000 --mcmc_per_flow_steps 10
python3 multi_modal.py --example $example --learning_iter 10000 --mcmc_per_flow_steps 10 --hutch
python3 multi_modal.py --example $example --learning_iter 10000 --mcmc_per_flow_steps 10 --do_fab
python3 multi_modal.py --example $example --learning_iter 10000 --mcmc_per_flow_steps 10 --do_dds
python3 multi_modal.py --example $example --learning_iter 10000 --mcmc_per_flow_steps 10 --do_flowmc
example="phi-four"
echo "$example..."
python3 multi_modal.py --example $example --learning_iter 10000 --mcmc_per_flow_steps 10000 --hutch
python3 multi_modal.py --example $example --learning_iter 10000 --mcmc_per_flow_steps 1000
python3 multi_modal.py --example $example --learning_iter 10000 --mcmc_per_flow_steps 1000 --hutch
python3 multi_modal.py --example $example --learning_iter 10000 --mcmc_per_flow_steps 100
python3 multi_modal.py --example $example --learning_iter 10000 --mcmc_per_flow_steps 100 --hutch
python3 multi_modal.py --example $example --learning_iter 10000 --mcmc_per_flow_steps 10 --do_fab
python3 multi_modal.py --example $example --learning_iter 10000 --mcmc_per_flow_steps 10 --do_dds
python3 multi_modal.py --example $example --learning_iter 10000 --mcmc_per_flow_steps 10 --do_flowmc
example="pines"
echo "$example..."
python3 multi_modal.py --example $example --learning_iter 10000 --mcmc_per_flow_steps 10000 --hutch
python3 multi_modal.py --example $example --learning_iter 10000 --mcmc_per_flow_steps 1000
python3 multi_modal.py --example $example --learning_iter 10000 --mcmc_per_flow_steps 1000 --hutch
python3 multi_modal.py --example $example --learning_iter 10000 --mcmc_per_flow_steps 100
python3 multi_modal.py --example $example --learning_iter 10000 --mcmc_per_flow_steps 100 --hutch
python3 multi_modal.py --example $example --learning_iter 10000 --mcmc_per_flow_steps 10 --do_fab
python3 multi_modal.py --example $example --learning_iter 10000 --mcmc_per_flow_steps 10 --do_dds
python3 multi_modal.py --example $example --learning_iter 10000 --mcmc_per_flow_steps 10 --do_flowmc
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