Parabolic Riesz Feature Preconditioner / results.json

Mechanism confirmed, baseline not beaten

Raw ⬇ ZIP
 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": {
39      "val_loss": 0.17395080626010895,
40      "accuracy": 1.0,
41      "perturbed_accuracy": 1.0
42    },
43    "riesz": {
44      "val_loss": 0.22343987226486206,
45      "accuracy": 1.0,
46      "perturbed_accuracy": 1.0
47    }
48  }
49}