Non-parametric Bayesian deep kernel learning method

Integrating DNNs with Bayesian Kernels for Advanced Uncertainty Evaluation and Data Generation.

Innovative Research in Machine Learning

We specialize in developing advanced machine learning models, integrating deep neural networks with Bayesian nonparametric kernels, and conducting rigorous experimentation to enhance data generation and evaluation methods.

A well-lit photography studio with a model posing in a black, form-fitting outfit adorned with reflective elements. The photographer is capturing the scene with professional equipment, including lights and backdrops. The studio has a large window, wooden floors, and brick walls, creating a warm and creative atmosphere.
A well-lit photography studio with a model posing in a black, form-fitting outfit adorned with reflective elements. The photographer is capturing the scene with professional equipment, including lights and backdrops. The studio has a large window, wooden floors, and brick walls, creating a warm and creative atmosphere.
Our Mission
Our Vision

Through theoretical modeling and experimentation, we aim to push the boundaries of AI, utilizing public datasets and API-generated text to create diverse and effective machine learning solutions.

Advanced Data Modeling

Integrating DNNs with Bayesian kernels for optimized theoretical modeling and experimentation.

Benchmarking and Evaluation
A computer screen displaying a coding interface with Python code related to machine learning. The code imports libraries like sklearn and deals with model metrics such as precision and recall. A classification report is shown along with a section titled 'Different meta model trained' listing various models like DT, RF, LR, and XGB. Below, there is code for tuning an XGB model using GridSearchCV.
A computer screen displaying a coding interface with Python code related to machine learning. The code imports libraries like sklearn and deals with model metrics such as precision and recall. A classification report is shown along with a section titled 'Different meta model trained' listing various models like DT, RF, LR, and XGB. Below, there is code for tuning an XGB model using GridSearchCV.

Comparing NP-DKL against DKL and BNNs on various datasets and tasks.

A young child wearing a white lab coat and safety goggles is standing in front of a table, appearing to conduct a science experiment. A metal container emits a misty vapor, creating a sense of activity and curiosity. The background features a neutral wall with blurred elements, such as orange stools and a tripod stand.
A young child wearing a white lab coat and safety goggles is standing in front of a table, appearing to conduct a science experiment. A metal container emits a misty vapor, creating a sense of activity and curiosity. The background features a neutral wall with blurred elements, such as orange stools and a tripod stand.
A laboratory setup featuring various networking and testing equipment on a table. A computer monitor displaying test results with a 'Pass' message is prominently positioned. Multiple cables in orange and blue are connected to devices labeled 'Optical Phase Modulation Meter' and 'Test Station'. The environment appears clean and organized, suggesting a professional or industrial setting.
A laboratory setup featuring various networking and testing equipment on a table. A computer monitor displaying test results with a 'Pass' message is prominently positioned. Multiple cables in orange and blue are connected to devices labeled 'Optical Phase Modulation Meter' and 'Test Station'. The environment appears clean and organized, suggesting a professional or industrial setting.
API Utilization

Fine-tuning GPT-4 for generating synthetic data in few-shot adaptation tests.

Assessing uncertainty quality through ECE and KL divergence with comprehensive ablation studies.

Uncertainty Assessment

Advanced Modeling

Integrating DNNs with Bayesian nonparametric kernels for innovative solutions.

A scale architectural model of a building with multiple floors, featuring structural beams and small figurines representing people. The model is made of gray materials, indicating a modern design concept.
A scale architectural model of a building with multiple floors, featuring structural beams and small figurines representing people. The model is made of gray materials, indicating a modern design concept.
Robust Evaluation

Assessing uncertainty using ECE and KL divergence alongside ablation studies.

A detailed architectural model of a building under construction with scaffolding and structural framework visible. The model includes a rectangular base and various sections made of wood and metal. The setting is indoors, with the model displayed on a round platform.
A detailed architectural model of a building under construction with scaffolding and structural framework visible. The model includes a rectangular base and various sections made of wood and metal. The setting is indoors, with the model displayed on a round platform.
Synthetic Data

Utilizing GPT-4 for generating synthetic data in few-shot tests.

Research

Innovative modeling and experimentation for advanced AI.

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