Parabolic Riesz Feature Preconditioner / results.json
Mechanism confirmed, baseline not beaten
1{
2 "seed": 425,
3 "sanity": [
4 {
5 "n": 32,
6 "resolvent_operator_norm": 0.4991334493473849,
7 "direct_operator_norm": 2.0000000000000004,
8 "noise_ratio_resolvent": 1.7891735486943703,
9 "noise_ratio_direct": 2.7929913021723176,
10 "noise_amplification_resolvent": 0.40014538455303456,
11 "noise_amplification_direct": 1.223798318484659
12 },
13 {
14 "n": 64,
15 "resolvent_operator_norm": 0.499806400286574,
16 "direct_operator_norm": 2.0000000000000004,
17 "noise_ratio_resolvent": 3.2458241521565716,
18 "noise_ratio_direct": 5.315511579933217,
19 "noise_amplification_resolvent": 0.4192011906448444,
20 "noise_amplification_direct": 1.368182542494748
21 },
22 {
23 "n": 128,
24 "resolvent_operator_norm": 0.4999485893204376,
25 "direct_operator_norm": 1.9999999999999998,
26 "noise_ratio_resolvent": 4.252710071947159,
27 "noise_ratio_direct": 7.9775031059588155,
28 "noise_amplification_resolvent": 0.41477476498633625,
29 "noise_amplification_direct": 1.536108703904623
30 }
31 ],
32 "results": {
33 "plain": {
34 "val_loss": 0.13935910165309906,
35 "accuracy": 1.0,
36 "perturbed_accuracy": 1.0
37 },
38 "direct": {
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40 "accuracy": 1.0,
41 "perturbed_accuracy": 1.0
42 },
43 "riesz": {
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45 "accuracy": 1.0,
46 "perturbed_accuracy": 1.0
47 }
48 }
49}