Search

Tatyana Zalukaeva

Supervisory Patent Examiner (ID: 4485, Phone: (571)272-1115 , Office: P/3761 )

Most Active Art Unit
1713
Art Unit(s)
3781, 1713, 3761
Total Applications
783
Issued Applications
459
Pending Applications
53
Abandoned Applications
271

Applications

Application numberTitle of the applicationFiling DateStatus
Array ( [id] => 16811062 [patent_doc_number] => 20210133617 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2021-05-06 [patent_title] => Hybrid Quantum-Classical Computer System for Parameter-Efficient Circuit Training [patent_app_type] => utility [patent_app_number] => 17/084990 [patent_app_country] => US [patent_app_date] => 2020-10-30 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 9201 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -28 [patent_words_short_claim] => 165 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 17084990 [rel_patent_id] =>[rel_patent_doc_number] =>)
17/084990
Hybrid quantum-classical computer system for parameter-efficient circuit training Oct 29, 2020 Issued
Array ( [id] => 16811075 [patent_doc_number] => 20210133630 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2021-05-06 [patent_title] => MODEL INDUCTION METHOD FOR EXPLAINABLE A.I. [patent_app_type] => utility [patent_app_number] => 17/079840 [patent_app_country] => US [patent_app_date] => 2020-10-26 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 10636 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -26 [patent_words_short_claim] => 218 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 17079840 [rel_patent_id] =>[rel_patent_doc_number] =>)
17/079840
Model induction method for explainable A.I Oct 25, 2020 Issued
Array ( [id] => 16559484 [patent_doc_number] => 20210004633 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2021-01-07 [patent_title] => CONVOLUTIONAL NEURAL NETWORK ON PROGRAMMABLE TWO DIMENSIONAL IMAGE PROCESSOR [patent_app_type] => utility [patent_app_number] => 17/028097 [patent_app_country] => US [patent_app_date] => 2020-09-22 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 13078 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -17 [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] => 17028097 [rel_patent_id] =>[rel_patent_doc_number] =>)
17/028097
Convolutional neural network on programmable two dimensional image processor Sep 21, 2020 Issued
Array ( [id] => 19045842 [patent_doc_number] => 11934957 [patent_country] => US [patent_kind] => B2 [patent_issue_date] => 2024-03-19 [patent_title] => Methods, systems, and apparatuses for user-understandable explainable learning models [patent_app_type] => utility [patent_app_number] => 17/023515 [patent_app_country] => US [patent_app_date] => 2020-09-17 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 11 [patent_figures_cnt] => 16 [patent_no_of_words] => 13230 [patent_no_of_claims] => 20 [patent_no_of_ind_claims] => 3 [patent_words_short_claim] => 419 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => patent [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 17023515 [rel_patent_id] =>[rel_patent_doc_number] =>)
17/023515
Methods, systems, and apparatuses for user-understandable explainable learning models Sep 16, 2020 Issued
Array ( [id] => 16714694 [patent_doc_number] => 20210081841 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2021-03-18 [patent_title] => VISUALLY CREATING AND MONITORING MACHINE LEARNING MODELS [patent_app_type] => utility [patent_app_number] => 17/017594 [patent_app_country] => US [patent_app_date] => 2020-09-10 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 11490 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -17 [patent_words_short_claim] => 81 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 17017594 [rel_patent_id] =>[rel_patent_doc_number] =>)
17/017594
VISUALLY CREATING AND MONITORING MACHINE LEARNING MODELS Sep 9, 2020 Pending
Array ( [id] => 16714675 [patent_doc_number] => 20210081822 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2021-03-18 [patent_title] => USING MACHINE LEARNING ALGORITHMS TO PREPARE TRAINING DATASETS [patent_app_type] => utility [patent_app_number] => 17/016244 [patent_app_country] => US [patent_app_date] => 2020-09-09 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 8386 [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] => 17016244 [rel_patent_id] =>[rel_patent_doc_number] =>)
17/016244
Using machine learning algorithms to prepare training datasets Sep 8, 2020 Issued
Array ( [id] => 16527814 [patent_doc_number] => 20200401894 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2020-12-24 [patent_title] => MACHINE-LEARNING TECHNIQUES FOR MONOTONIC NEURAL NETWORKS [patent_app_type] => utility [patent_app_number] => 17/015056 [patent_app_country] => US [patent_app_date] => 2020-09-08 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 10785 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -17 [patent_words_short_claim] => 226 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 17015056 [rel_patent_id] =>[rel_patent_doc_number] =>)
17/015056
Machine-learning techniques for monotonic neural networks Sep 7, 2020 Issued
Array ( [id] => 19313602 [patent_doc_number] => 12039419 [patent_country] => US [patent_kind] => B2 [patent_issue_date] => 2024-07-16 [patent_title] => Automatically labeling functional blocks in pipelines of existing machine learning projects in a corpus adaptable for use in new machine learning projects [patent_app_type] => utility [patent_app_number] => 17/010669 [patent_app_country] => US [patent_app_date] => 2020-09-02 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 21 [patent_figures_cnt] => 22 [patent_no_of_words] => 16176 [patent_no_of_claims] => 14 [patent_no_of_ind_claims] => 3 [patent_words_short_claim] => 383 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => patent [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 17010669 [rel_patent_id] =>[rel_patent_doc_number] =>)
17/010669
Automatically labeling functional blocks in pipelines of existing machine learning projects in a corpus adaptable for use in new machine learning projects Sep 1, 2020 Issued
Array ( [id] => 17084631 [patent_doc_number] => 20210279638 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2021-09-09 [patent_title] => TRAINING APPARATUS AND NON-TRANSITORY COMPUTER READABLE MEDIUM [patent_app_type] => utility [patent_app_number] => 17/008714 [patent_app_country] => US [patent_app_date] => 2020-09-01 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 5453 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -18 [patent_words_short_claim] => 88 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 17008714 [rel_patent_id] =>[rel_patent_doc_number] =>)
17/008714
TRAINING APPARATUS AND NON-TRANSITORY COMPUTER READABLE MEDIUM Aug 31, 2020 Pending
Array ( [id] => 17447003 [patent_doc_number] => 20220067508 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2022-03-03 [patent_title] => METHODS FOR INCREASING CACHE HIT RATES FOR NEURAL NETWORKS [patent_app_type] => utility [patent_app_number] => 17/008360 [patent_app_country] => US [patent_app_date] => 2020-08-31 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 4118 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -17 [patent_words_short_claim] => 67 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 17008360 [rel_patent_id] =>[rel_patent_doc_number] =>)
17/008360
METHODS FOR INCREASING CACHE HIT RATES FOR NEURAL NETWORKS Aug 30, 2020 Pending
Array ( [id] => 16958364 [patent_doc_number] => 11062236 [patent_country] => US [patent_kind] => B2 [patent_issue_date] => 2021-07-13 [patent_title] => Self-learning analytical attribute and clustering segmentation system [patent_app_type] => utility [patent_app_number] => 17/003974 [patent_app_country] => US [patent_app_date] => 2020-08-26 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 13 [patent_figures_cnt] => 13 [patent_no_of_words] => 22726 [patent_no_of_claims] => 18 [patent_no_of_ind_claims] => 2 [patent_words_short_claim] => 303 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => patent [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 17003974 [rel_patent_id] =>[rel_patent_doc_number] =>)
17/003974
Self-learning analytical attribute and clustering segmentation system Aug 25, 2020 Issued
Array ( [id] => 17430306 [patent_doc_number] => 20220058015 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2022-02-24 [patent_title] => OPTIMIZATION FOR OPEN FEATURE LIBRARY MANAGEMENT [patent_app_type] => utility [patent_app_number] => 17/000476 [patent_app_country] => US [patent_app_date] => 2020-08-24 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 11064 [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] => 17000476 [rel_patent_id] =>[rel_patent_doc_number] =>)
17/000476
OPTIMIZATION FOR OPEN FEATURE LIBRARY MANAGEMENT Aug 23, 2020 Pending
Array ( [id] => 18826974 [patent_doc_number] => 11842253 [patent_country] => US [patent_kind] => B2 [patent_issue_date] => 2023-12-12 [patent_title] => Training encoder model and/or using trained encoder model to determine responsive action(s) for natural language input [patent_app_type] => utility [patent_app_number] => 16/995149 [patent_app_country] => US [patent_app_date] => 2020-08-17 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 9 [patent_figures_cnt] => 9 [patent_no_of_words] => 11037 [patent_no_of_claims] => 16 [patent_no_of_ind_claims] => 2 [patent_words_short_claim] => 291 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => patent [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 16995149 [rel_patent_id] =>[rel_patent_doc_number] =>)
16/995149
Training encoder model and/or using trained encoder model to determine responsive action(s) for natural language input Aug 16, 2020 Issued
Array ( [id] => 17388003 [patent_doc_number] => 20220035855 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2022-02-03 [patent_title] => MARKOV DECISION PROCESS FOR EFFICIENT DATA TRANSFER [patent_app_type] => utility [patent_app_number] => 16/943331 [patent_app_country] => US [patent_app_date] => 2020-07-30 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 12890 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -17 [patent_words_short_claim] => 175 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 16943331 [rel_patent_id] =>[rel_patent_doc_number] =>)
16/943331
Markov decision process for efficient data transfer Jul 29, 2020 Issued
Array ( [id] => 16439576 [patent_doc_number] => 20200356903 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2020-11-12 [patent_title] => Predicting User State Using Machine Learning [patent_app_type] => utility [patent_app_number] => 16/944030 [patent_app_country] => US [patent_app_date] => 2020-07-30 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 7031 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -14 [patent_words_short_claim] => 195 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 16944030 [rel_patent_id] =>[rel_patent_doc_number] =>)
16/944030
Predicting user state using machine learning Jul 29, 2020 Issued
Array ( [id] => 17069772 [patent_doc_number] => 20210271988 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2021-09-02 [patent_title] => REINFORCEMENT LEARNING WITH ITERATIVE REASONING FOR MERGING IN DENSE TRAFFIC [patent_app_type] => utility [patent_app_number] => 16/940680 [patent_app_country] => US [patent_app_date] => 2020-07-28 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 7485 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -16 [patent_words_short_claim] => 26 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 16940680 [rel_patent_id] =>[rel_patent_doc_number] =>)
16/940680
REINFORCEMENT LEARNING WITH ITERATIVE REASONING FOR MERGING IN DENSE TRAFFIC Jul 27, 2020 Pending
Array ( [id] => 17372697 [patent_doc_number] => 20220027749 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2022-01-27 [patent_title] => MACHINE LEARNING MODEL MONITORING [patent_app_type] => utility [patent_app_number] => 16/935670 [patent_app_country] => US [patent_app_date] => 2020-07-22 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 7824 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -17 [patent_words_short_claim] => 79 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 16935670 [rel_patent_id] =>[rel_patent_doc_number] =>)
16/935670
Machine learning model monitoring Jul 21, 2020 Issued
Array ( [id] => 18528029 [patent_doc_number] => 11715023 [patent_country] => US [patent_kind] => B2 [patent_issue_date] => 2023-08-01 [patent_title] => Methods and apparatuses for training one or more model parameters of a predictive parking difficulty model [patent_app_type] => utility [patent_app_number] => 16/934047 [patent_app_country] => US [patent_app_date] => 2020-07-21 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 5 [patent_figures_cnt] => 5 [patent_no_of_words] => 6572 [patent_no_of_claims] => 8 [patent_no_of_ind_claims] => 2 [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] => 16934047 [rel_patent_id] =>[rel_patent_doc_number] =>)
16/934047
Methods and apparatuses for training one or more model parameters of a predictive parking difficulty model Jul 20, 2020 Issued
Array ( [id] => 16424247 [patent_doc_number] => 20200349445 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2020-11-05 [patent_title] => DATA PROCESSING SYSTEM AND DATA PROCESSING METHOD [patent_app_type] => utility [patent_app_number] => 16/929805 [patent_app_country] => US [patent_app_date] => 2020-07-15 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 2652 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -3 [patent_words_short_claim] => 151 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 16929805 [rel_patent_id] =>[rel_patent_doc_number] =>)
16/929805
DATA PROCESSING SYSTEM AND DATA PROCESSING METHOD Jul 14, 2020 Pending
Array ( [id] => 17359117 [patent_doc_number] => 20220019913 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2022-01-20 [patent_title] => WEIGHTED ADAPTIVE FILTERING BASED LOSS FUNCTION TO PREDICT THE FIRST OCCURRENCE OF MULTIPLE EVENTS IN A SINGLE SHOT [patent_app_type] => utility [patent_app_number] => 16/928616 [patent_app_country] => US [patent_app_date] => 2020-07-14 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 14011 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -17 [patent_words_short_claim] => 302 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 16928616 [rel_patent_id] =>[rel_patent_doc_number] =>)
16/928616
Weighted adaptive filtering based loss function to predict the first occurrence of multiple events in a single shot Jul 13, 2020 Issued
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