Search

Andre Pierre Louis

Examiner (ID: 3033, Phone: (571)272-8636 , Office: P/2123 )

Most Active Art Unit
2123
Art Unit(s)
2127, 2146, 2187, 2123
Total Applications
889
Issued Applications
611
Pending Applications
62
Abandoned Applications
230

Applications

Application numberTitle of the applicationFiling DateStatus
Array ( [id] => 19260102 [patent_doc_number] => 12020162 [patent_country] => US [patent_kind] => B2 [patent_issue_date] => 2024-06-25 [patent_title] => Weight-based local modulation of weight update in neural networks [patent_app_type] => utility [patent_app_number] => 17/106356 [patent_app_country] => US [patent_app_date] => 2020-11-30 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 8 [patent_figures_cnt] => 8 [patent_no_of_words] => 10058 [patent_no_of_claims] => 24 [patent_no_of_ind_claims] => 3 [patent_words_short_claim] => 276 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => patent [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 17106356 [rel_patent_id] =>[rel_patent_doc_number] =>)
17/106356
Weight-based local modulation of weight update in neural networks Nov 29, 2020 Issued
Array ( [id] => 17173025 [patent_doc_number] => 20210326696 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2021-10-21 [patent_title] => METHOD AND APPARATUS FOR FORECASTING POWER DEMAND [patent_app_type] => utility [patent_app_number] => 16/953653 [patent_app_country] => US [patent_app_date] => 2020-11-20 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 6953 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -14 [patent_words_short_claim] => 99 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 16953653 [rel_patent_id] =>[rel_patent_doc_number] =>)
16/953653
METHOD AND APPARATUS FOR FORECASTING POWER DEMAND Nov 19, 2020 Abandoned
Array ( [id] => 16690805 [patent_doc_number] => 20210073283 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2021-03-11 [patent_title] => MACHINE LEARNING AND PREDICTION USING GRAPH COMMUNITIES [patent_app_type] => utility [patent_app_number] => 16/953235 [patent_app_country] => US [patent_app_date] => 2020-11-19 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 10328 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -17 [patent_words_short_claim] => 2 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 16953235 [rel_patent_id] =>[rel_patent_doc_number] =>)
16/953235
Machine learning and prediction using graph communities Nov 18, 2020 Issued
Array ( [id] => 17614283 [patent_doc_number] => 20220156563 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2022-05-19 [patent_title] => Detecting adversary attacks on a deep neural network (DNN) [patent_app_type] => utility [patent_app_number] => 16/950684 [patent_app_country] => US [patent_app_date] => 2020-11-17 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 6251 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -18 [patent_words_short_claim] => 73 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 16950684 [rel_patent_id] =>[rel_patent_doc_number] =>)
16/950684
Detecting adversary attacks on a deep neural network (DNN) Nov 16, 2020 Issued
Array ( [id] => 19062274 [patent_doc_number] => 11941511 [patent_country] => US [patent_kind] => B1 [patent_issue_date] => 2024-03-26 [patent_title] => Storing of intermediate computed values for subsequent use in a machine trained network [patent_app_type] => utility [patent_app_number] => 17/093296 [patent_app_country] => US [patent_app_date] => 2020-11-09 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 17 [patent_figures_cnt] => 17 [patent_no_of_words] => 16848 [patent_no_of_claims] => 14 [patent_no_of_ind_claims] => 2 [patent_words_short_claim] => 308 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => patent [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 17093296 [rel_patent_id] =>[rel_patent_doc_number] =>)
17/093296
Storing of intermediate computed values for subsequent use in a machine trained network Nov 8, 2020 Issued
Array ( [id] => 19078697 [patent_doc_number] => 11948067 [patent_country] => US [patent_kind] => B1 [patent_issue_date] => 2024-04-02 [patent_title] => Storing of intermediate computed values for subsequent use in a machine trained network [patent_app_type] => utility [patent_app_number] => 17/093278 [patent_app_country] => US [patent_app_date] => 2020-11-09 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 17 [patent_figures_cnt] => 17 [patent_no_of_words] => 16848 [patent_no_of_claims] => 26 [patent_no_of_ind_claims] => 2 [patent_words_short_claim] => 347 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => patent [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 17093278 [rel_patent_id] =>[rel_patent_doc_number] =>)
17/093278
Storing of intermediate computed values for subsequent use in a machine trained network Nov 8, 2020 Issued
Array ( [id] => 19429273 [patent_doc_number] => 12088719 [patent_country] => US [patent_kind] => B2 [patent_issue_date] => 2024-09-10 [patent_title] => Method and system for incremental training of machine learning models on edge devices [patent_app_type] => utility [patent_app_number] => 17/092289 [patent_app_country] => US [patent_app_date] => 2020-11-08 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 8 [patent_figures_cnt] => 8 [patent_no_of_words] => 9430 [patent_no_of_claims] => 16 [patent_no_of_ind_claims] => 3 [patent_words_short_claim] => 393 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => patent [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 17092289 [rel_patent_id] =>[rel_patent_doc_number] =>)
17/092289
Method and system for incremental training of machine learning models on edge devices Nov 7, 2020 Issued
Array ( [id] => 16826886 [patent_doc_number] => 20210142179 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2021-05-13 [patent_title] => DYNAMICALLY DIVIDING ACTIVATIONS AND KERNELS FOR IMPROVING MEMORY EFFICIENCY [patent_app_type] => utility [patent_app_number] => 17/090071 [patent_app_country] => US [patent_app_date] => 2020-11-05 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 41000 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -16 [patent_words_short_claim] => 143 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 17090071 [rel_patent_id] =>[rel_patent_doc_number] =>)
17/090071
DYNAMICALLY DIVIDING ACTIVATIONS AND KERNELS FOR IMPROVING MEMORY EFFICIENCY Nov 4, 2020 Pending
Array ( [id] => 17581682 [patent_doc_number] => 20220138537 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2022-05-05 [patent_title] => PROBABILISTIC NONLINEAR RELATIONSHIPS CROSS-MULTI TIME SERIES AND EXTERNAL FACTORS FOR IMPROVED MULTIVARIATE TIME SERIES MODELING AND FORECASTING [patent_app_type] => utility [patent_app_number] => 17/087568 [patent_app_country] => US [patent_app_date] => 2020-11-02 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 6688 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -17 [patent_words_short_claim] => 100 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 17087568 [rel_patent_id] =>[rel_patent_doc_number] =>)
17/087568
PROBABILISTIC NONLINEAR RELATIONSHIPS CROSS-MULTI TIME SERIES AND EXTERNAL FACTORS FOR IMPROVED MULTIVARIATE TIME SERIES MODELING AND FORECASTING Nov 1, 2020 Pending
Array ( [id] => 20266209 [patent_doc_number] => 12437202 [patent_country] => US [patent_kind] => B2 [patent_issue_date] => 2025-10-07 [patent_title] => Human characteristic normalization with an autoencoder [patent_app_type] => utility [patent_app_number] => 17/085428 [patent_app_country] => US [patent_app_date] => 2020-10-30 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 6 [patent_figures_cnt] => 6 [patent_no_of_words] => 4830 [patent_no_of_claims] => 16 [patent_no_of_ind_claims] => 3 [patent_words_short_claim] => 230 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => patent [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 17085428 [rel_patent_id] =>[rel_patent_doc_number] =>)
17/085428
Human characteristic normalization with an autoencoder Oct 29, 2020 Issued
Array ( [id] => 17581681 [patent_doc_number] => 20220138536 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2022-05-05 [patent_title] => ACTIONAL-STRUCTURAL SELF-ATTENTION GRAPH CONVOLUTIONAL NETWORK FOR ACTION RECOGNITION [patent_app_type] => utility [patent_app_number] => 17/083738 [patent_app_country] => US [patent_app_date] => 2020-10-29 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 7176 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -17 [patent_words_short_claim] => 108 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 17083738 [rel_patent_id] =>[rel_patent_doc_number] =>)
17/083738
ACTIONAL-STRUCTURAL SELF-ATTENTION GRAPH CONVOLUTIONAL NETWORK FOR ACTION RECOGNITION Oct 28, 2020 Abandoned
Array ( [id] => 17565632 [patent_doc_number] => 20220129781 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2022-04-28 [patent_title] => METHOD, APPARATUS AND COMPUTER PROGRAM PRODUCT FOR IMPROVING INTERPRETABILITY OF SOFTWARE BLACK-BOX MACHINE LEARNING MODEL OUTPUTS [patent_app_type] => utility [patent_app_number] => 16/949359 [patent_app_country] => US [patent_app_date] => 2020-10-27 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 20614 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -17 [patent_words_short_claim] => 148 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 16949359 [rel_patent_id] =>[rel_patent_doc_number] =>)
16/949359
METHOD, APPARATUS AND COMPUTER PROGRAM PRODUCT FOR IMPROVING INTERPRETABILITY OF SOFTWARE BLACK-BOX MACHINE LEARNING MODEL OUTPUTS Oct 26, 2020 Pending
Array ( [id] => 17535792 [patent_doc_number] => 20220114401 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2022-04-14 [patent_title] => PREDICTING PERFORMANCE OF MACHINE LEARNING MODELS [patent_app_type] => utility [patent_app_number] => 17/068226 [patent_app_country] => US [patent_app_date] => 2020-10-12 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 7667 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -16 [patent_words_short_claim] => 89 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 17068226 [rel_patent_id] =>[rel_patent_doc_number] =>)
17/068226
Predicting performance of machine learning models Oct 11, 2020 Issued
Array ( [id] => 17535815 [patent_doc_number] => 20220114424 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2022-04-14 [patent_title] => MULTI-BANDWIDTH SEPARATED FEATURE EXTRACTION CONVOLUTION LAYER FOR CONVOLUTIONAL NEURAL NETWORKS [patent_app_type] => utility [patent_app_number] => 17/066220 [patent_app_country] => US [patent_app_date] => 2020-10-08 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 16526 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -18 [patent_words_short_claim] => 231 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 17066220 [rel_patent_id] =>[rel_patent_doc_number] =>)
17/066220
MULTI-BANDWIDTH SEPARATED FEATURE EXTRACTION CONVOLUTION LAYER FOR CONVOLUTIONAL NEURAL NETWORKS Oct 7, 2020 Abandoned
Array ( [id] => 16751838 [patent_doc_number] => 20210103849 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2021-04-08 [patent_title] => PREPARING AND CONVERTING GOTTESMAN-KITAEV-PRESKILL STATES [patent_app_type] => utility [patent_app_number] => 17/063660 [patent_app_country] => US [patent_app_date] => 2020-10-05 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 9607 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -26 [patent_words_short_claim] => 86 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 17063660 [rel_patent_id] =>[rel_patent_doc_number] =>)
17/063660
PREPARING AND CONVERTING GOTTESMAN-KITAEV-PRESKILL STATES Oct 4, 2020 Abandoned
Array ( [id] => 19340789 [patent_doc_number] => 12050982 [patent_country] => US [patent_kind] => B1 [patent_issue_date] => 2024-07-30 [patent_title] => Delay spiking neural networks [patent_app_type] => utility [patent_app_number] => 17/035345 [patent_app_country] => US [patent_app_date] => 2020-09-28 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 8 [patent_figures_cnt] => 8 [patent_no_of_words] => 5123 [patent_no_of_claims] => 4 [patent_no_of_ind_claims] => 1 [patent_words_short_claim] => 152 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => patent [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 17035345 [rel_patent_id] =>[rel_patent_doc_number] =>)
17/035345
Delay spiking neural networks Sep 27, 2020 Issued
Array ( [id] => 18155283 [patent_doc_number] => 11568264 [patent_country] => US [patent_kind] => B2 [patent_issue_date] => 2023-01-31 [patent_title] => Using shape information and loss functions for predictive modelling [patent_app_type] => utility [patent_app_number] => 17/608978 [patent_app_country] => US [patent_app_date] => 2020-09-25 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 16 [patent_figures_cnt] => 16 [patent_no_of_words] => 9985 [patent_no_of_claims] => 13 [patent_no_of_ind_claims] => 3 [patent_words_short_claim] => 292 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => patent [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 17608978 [rel_patent_id] =>[rel_patent_doc_number] =>)
17/608978
Using shape information and loss functions for predictive modelling Sep 24, 2020 Issued
Array ( [id] => 18039768 [patent_doc_number] => 20220383985 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2022-12-01 [patent_title] => MODELLING METHOD USING A CONDITIONAL VARIATIONAL AUTOENCODER [patent_app_type] => utility [patent_app_number] => 17/763501 [patent_app_country] => US [patent_app_date] => 2020-09-25 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 7455 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => 0 [patent_words_short_claim] => 18 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 17763501 [rel_patent_id] =>[rel_patent_doc_number] =>)
17/763501
MODELLING METHOD USING A CONDITIONAL VARIATIONAL AUTOENCODER Sep 24, 2020 Pending
Array ( [id] => 19911952 [patent_doc_number] => 12288163 [patent_country] => US [patent_kind] => B2 [patent_issue_date] => 2025-04-29 [patent_title] => Training method for quantizing the weights and inputs of a neural network [patent_app_type] => utility [patent_app_number] => 17/031817 [patent_app_country] => US [patent_app_date] => 2020-09-24 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 10 [patent_figures_cnt] => 16 [patent_no_of_words] => 4146 [patent_no_of_claims] => 17 [patent_no_of_ind_claims] => 3 [patent_words_short_claim] => 296 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => patent [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 17031817 [rel_patent_id] =>[rel_patent_doc_number] =>)
17/031817
Training method for quantizing the weights and inputs of a neural network Sep 23, 2020 Issued
Array ( [id] => 16730225 [patent_doc_number] => 20210097372 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2021-04-01 [patent_title] => Co-Informatic Generative Adversarial Networks for Efficient Data Co-Clustering [patent_app_type] => utility [patent_app_number] => 17/031575 [patent_app_country] => US [patent_app_date] => 2020-09-24 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 11528 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -17 [patent_words_short_claim] => 154 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 17031575 [rel_patent_id] =>[rel_patent_doc_number] =>)
17/031575
Co-informatic generative adversarial networks for efficient data co-clustering Sep 23, 2020 Issued
Menu