FMM-Accelerated Polyharmonic Neural Field Head / results.json

✓✓ Beats tuned baseline

Raw ⬇ ZIP
 1{
 2  "seed": 2128,
 3  "n": 180,
 4  "queries": 300,
 5  "math_checks": {
 6    "scale_rho": [
 7      0.5,
 8      1.0,
 9      2.0,
10      4.0
11    ],
12    "predicted_rho2": [
13      0.25,
14      1.0,
15      4.0,
16      16.0
17    ],
18    "observed_projected_norm_ratios": [
19      0.25,
20      1.0,
21      4.0,
22      16.000000000000004
23    ],
24    "scale_max_abs_error": 3.552713678800501e-15,
25    "projected_squared_distance_ratio": 3.0858473597818377e-15,
26    "predicted_projected_polynomial_ratio": 0.0,
27    "random_nullspace_constraint_norm": 1.3093573286826068e-14,
28    "exact_interpolation_max_error": 2.0095036745715333e-14,
29    "exact_solution_constraint_norm": 8.076158613023904e-15
30  },
31  "pcg_vecchia": [
32    {
33      "m": "none",
34      "iterations": 292,
35      "relative_residual": 7.64767016209227e-08,
36      "constraint": 2.739193735771463e-15
37    },
38    {
39      "m": 2,
40      "iterations": 300,
41      "relative_residual": 6.830360889086798e-05,
42      "constraint": 2.064437553184079e-15
43    },
44    {
45      "m": 4,
46      "iterations": 300,
47      "relative_residual": 8.401994681281089e-05,
48      "constraint": 3.6623048834397336e-15
49    },
50    {
51      "m": 8,
52      "iterations": 300,
53      "relative_residual": 3.553010670369093e-05,
54      "constraint": 5.164268000375723e-15
55    },
56    {
57      "m": 16,
58      "iterations": 300,
59      "relative_residual": 2.1641475749279725e-05,
60      "constraint": 3.554598674071636e-15
61    },
62    {
63      "m": 32,
64      "iterations": 300,
65      "relative_residual": 8.608172059209647e-05,
66      "constraint": 4.898398365354511e-15
67    }
68  ],
69  "evaluation": {
70    "dense_seconds": 0.0029872339946450666,
71    "chunked_seconds": 0.002372130998992361,
72    "chunked_vs_dense_max_error": 0.0,
73    "reference_query_rmse": 0.023998067080696645
74  }
75}