Prosecution Insights
Prosecution Insights
Tech Center 2100 • Art Units: 2121 2128
This examiner grants 18% of resolved cases
Jessica Thuy Pham is an examiner in Tech Center 2100, specifically Art Unit 2121, with 11 resolved cases on record. Her allowance rate is 18.2 percent, representing a challenging environment for securing patent grants. The median time to allowance for successful applications is 1475 days, indicating a prolonged prosecution cycle. These metrics suggest that applicants should prepare for a rigorous examination process and a significant time investment.
Despite the 18.2 percent allowance rate, the data shows a substantial interview lift of 90.0 percent. This specific figure suggests that direct communication with the examiner is a critical factor in overcoming rejections. For practitioners in Art Unit 2121, the disparity between the base allowance rate and the lift provided by interviews highlights a clear strategic path. Engaging in an interview appears to be an effective method for advancing applications toward a grant under this examiner's review.
| App # | Title | Status | Assignee |
|---|---|---|---|
| 17943890 | METHOD FOR TRAINING A DETERMINISTIC AUTOENCODER | Final Rejection | Robert Bosch GmbH |
| 18447347 | MACHINE LEARNING DEVICE, MACHINE LEARNING METHOD, AND NON-TRANSITORY COMPUTER-READABLE RECORDING MEDIUM HAVING EMBODIED THEREON A MACHINE LEARNING PROGRAM | Final Rejection | JVCKENWOOD Corporation |
| 18664164 | GENERATING GRAPH EMBEDDINGS ON DISTRIBUTED PROCESSORS | Non-Final OA | Google LLC |
| 18157755 | Self-Pruning Neural Networks with Regularized Auxiliary Variables | Non-Final OA | Oracle International Corporation |
| 18343173 | REDUCING DATA COMMUNICATIONS IN DISTRIBUTED INFERENCE SCHEMES | Non-Final OA | Western Digital Technologies, Inc. |
| 18043166 | LEARNING METHOD, CLUSTERING METHOD, LEARNING APPARATUS, CLUSTERING APPARATUS AND PROGRAM | Non-Final OA | NIPPON TELEGRAPH AND TELEPHONE CORPORATION |
| 17565215 | SYSTEMS AND METHODS FOR KNOWLEDGE BASE QUESTION ANSWERING USING GENERATION AUGMENTED RANKING | Final Rejection | salesforce.com, inc. |
| 17815316 | CONGENIALITY-PRESERVING GENERATIVE ADVERSARIAL NETWORKS FOR IMPUTING LOW-DIMENSIONAL MULTIVARIATE TIME-SERIES DATA | Non-Final OA | Tata Consultancy Services Limited |
| 18677048 | MACHINE LEARNING-BASED ERROR ANALYSIS FOR ENTERPRISE RESOURCE PLANNING APPLICATIONS | Non-Final OA | SAP SE |
| 17546426 | COMPUTER-IMPLEMENTED METHOD, COMPUTER PROGRAM PRODUCT AND COMPUTER SYSTEM FOR PROBLEM-SOLVING BASED ON KNOWLEDGE GRAPHS | Non-Final OA | SAP SE |
| 18123673 | ANOMALOUS DATA IDENTIFICATION FOR TABULAR DATA | Final Rejection | ADOBE INC. |
| 18047335 | SYSTEMS AND METHODS FOR DATA CORRECTION | Non-Final OA | ADOBE INC. |
| 17883817 | METHOD AND DEVICE WITH CALCULATION FOR DRIVING NEURAL NETWORK MODEL | Non-Final OA | Seoul National University R&DB Foundation |
| 17879404 | ELECTRONIC DEVICE, METHOD, AND NON-TRANSITORY COMPUTER READABLE STORAGE MEDIUM FOR IDENTIFYING STATE OF VISUAL OBJECT CORRESPONDING TO USER INPUT USING NEURAL NETWORK | Non-Final OA | SEOUL NATIONAL UNIVERSITY R&DB FOUNDATION |
| 18056101 | CONTRASTIVE EMBEDDING OF STRUCTURED SPACE FOR BAYESIAN OPTIMIZATION | Final Rejection | Spotify AB |
| 18182924 | System and Method for Low-Rank Tensor Decomposition with Neural Network Priors | Final Rejection | William Marsh Rice University |
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