Anchored Whitening Layer / results.json
Unverified
1{
2 "seed": 2340,
3 "predictions": {
4 "P1_exact_decorrelation": "max |T^T R T-I| should remain at floating point precision for all c and Q=I",
5 "P2_identity_fidelity": "min fidelity should equal [sqrt(1+(p-1)c)+(p-1)sqrt(1-c)]/p",
6 "P3_threshold_transition": "identity anchor is feasible iff rho <= rho0(c), where rho0 is the P2 curve"
7 },
8 "decorrelation_sweep": [
9 {
10 "c": 0.0,
11 "max_cov_error": 0.0,
12 "fidelity_min": 1.0
13 },
14 {
15 "c": 0.1,
16 "max_cov_error": 6.661338147750939e-16,
17 "fidelity_min": 0.994693560274026
18 },
19 {
20 "c": 0.3,
21 "max_cov_error": 1.2212453270876722e-15,
22 "fidelity_min": 0.9607398271257608
23 },
24 {
25 "c": 0.6,
26 "max_cov_error": 7.771561172376096e-16,
27 "fidelity_min": 0.8603796100280627
28 },
29 {
30 "c": 0.9,
31 "max_cov_error": 1.176836406102666e-14,
32 "fidelity_min": 0.6543911183326493
33 }
34 ],
35 "fidelity_sweep": [
36 {
37 "c": 0.0,
38 "predicted": 1.0,
39 "observed": 1.0,
40 "abs_error": 0.0
41 },
42 {
43 "c": 0.1,
44 "predicted": 0.9946935602740264,
45 "observed": 0.994693560274026,
46 "abs_error": 4.440892098500626e-16
47 },
48 {
49 "c": 0.3,
50 "predicted": 0.9607398271257613,
51 "observed": 0.9607398271257608,
52 "abs_error": 5.551115123125783e-16
53 },
54 {
55 "c": 0.6,
56 "predicted": 0.8603796100280633,
57 "observed": 0.8603796100280627,
58 "abs_error": 5.551115123125783e-16
59 },
60 {
61 "c": 0.9,
62 "predicted": 0.6543911183326507,
63 "observed": 0.6543911183326493,
64 "abs_error": 1.4432899320127035e-15
65 }
66 ],
67 "threshold_sweep": [
68 {
69 "c": 0.0,
70 "rho": 0.98,
71 "predicted_feasible": true,
72 "observed_feasible": true,
73 "rho0_predicted": 1.0,
74 "min_fidelity": 1.0
75 },
76 {
77 "c": 0.0,
78 "rho": 1.02,
79 "predicted_feasible": false,
80 "observed_feasible": false,
81 "rho0_predicted": 1.0,
82 "min_fidelity": 1.0
83 },
84 {
85 "c": 0.1,
86 "rho": 0.9746935602740264,
87 "predicted_feasible": true,
88 "observed_feasible": true,
89 "rho0_predicted": 0.9946935602740264,
90 "min_fidelity": 0.994693560274026
91 },
92 {
93 "c": 0.1,
94 "rho": 1.0146935602740264,
95 "predicted_feasible": false,
96 "observed_feasible": false,
97 "rho0_predicted": 0.9946935602740264,
98 "min_fidelity": 0.994693560274026
99 },
100 {
101 "c": 0.3,
102 "rho": 0.9407398271257613,
103 "predicted_feasible": true,
104 "observed_feasible": true,
105 "rho0_predicted": 0.9607398271257613,
106 "min_fidelity": 0.9607398271257608
107 },
108 {
109 "c": 0.3,
110 "rho": 0.9807398271257614,
111 "predicted_feasible": false,
112 "observed_feasible": false,
113 "rho0_predicted": 0.9607398271257613,
114 "min_fidelity": 0.9607398271257608
115 },
116 {
117 "c": 0.6,
118 "rho": 0.8403796100280633,
119 "predicted_feasible": true,
120 "observed_feasible": true,
121 "rho0_predicted": 0.8603796100280633,
122 "min_fidelity": 0.8603796100280627
123 },
124 {
125 "c": 0.6,
126 "rho": 0.8803796100280633,
127 "predicted_feasible": false,
128 "observed_feasible": false,
129 "rho0_predicted": 0.8603796100280633,
130 "min_fidelity": 0.8603796100280627
131 },
132 {
133 "c": 0.9,
134 "rho": 0.6343911183326507,
135 "predicted_feasible": true,
136 "observed_feasible": true,
137 "rho0_predicted": 0.6543911183326507,
138 "min_fidelity": 0.6543911183326493
139 },
140 {
141 "c": 0.9,
142 "rho": 0.6743911183326508,
143 "predicted_feasible": false,
144 "observed_feasible": false,
145 "rho0_predicted": 0.6543911183326507,
146 "min_fidelity": 0.6543911183326493
147 }
148 ],
149 "toy": {
150 "accuracy_bn_like": 0.8897142857142857,
151 "accuracy_zca_q_identity": 0.8897142857142857,
152 "bn_like_offdiag_fro": 3.314475478163808,
153 "zca_offdiag_fro": 1.89921721890737e-15,
154 "zca_max_cov_error": 1.0547118733938987e-15,
155 "zca_min_input_fidelity": 0.8523132299144632,
156 "rho_identity_prediction": 0.8603796100280633,
157 "n_train": 3250
158 }
159}