AI-Scientist / example_papers /mdl_grokking_correlation

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pradachan

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latex
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run_0
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run_1
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run_2
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run_3
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run_4
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run_5
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20240804_045218_mdl_grokking_correlation_aider.txt

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experiment.py

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ideas.json

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log.txt

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mdl_gen_gap_permutation.png

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mdl_gen_gap_x_div_y.png

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mdl_gen_gap_x_minus_y.png

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mdl_gen_gap_x_plus_y.png

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mdl_grokking_correlation.pdf

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mdl_transition_rate_permutation.png

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mdl_transition_rate_x_div_y.png

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mdl_transition_rate_x_minus_y.png

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mdl_transition_rate_x_plus_y.png

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mdl_transition_vs_grokking.png

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mdl_transition_vs_grokking_scatter.png

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mdl_val_acc_correlation.png

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notes.txt

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plot.py

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prompt.json

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review.txt

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run_1.py

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run_2.py

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run_3.py

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run_4.py

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run_5.py

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seed_ideas.json

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train_acc_permutation.png

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train_acc_x_div_y.png

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train_acc_x_minus_y.png

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train_acc_x_plus_y.png

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train_loss_permutation.png

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train_loss_x_div_y.png

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train_loss_x_minus_y.png

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train_loss_x_plus_y.png

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val_acc_mdl_permutation.png

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val_acc_mdl_x_div_y.png

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val_acc_mdl_x_minus_y.png

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val_acc_mdl_x_plus_y.png

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val_acc_permutation.png

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val_acc_x_div_y.png

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val_acc_x_minus_y.png

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val_acc_x_plus_y.png

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val_loss_permutation.png

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