Author: Priyanka Israni

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http://www.marktechpost.com
Priyanka Israni is currently pursuing PhD at Gujarat Technological University, Ahmedabad, India. Her interest area lies in medical image processing, machine learning, deep learning, data analysis and computer vision. She has 8 years of teaching experience to engineering graduates and postgraduates.

Researchers From Imperial College London introduce TsT-GAN: A Novel Framework For Training Time-Series Generative Models

Nowadays, data is considered a fuel in the data analytics field. The real-time applications require time series data for analysis and future prediction. But...

Cambridge AI Researchers Propose ‘MAGIC’: A Training-Free Framework That Plugs Visual Controls Into The Generation Of A Language Model

This Article Is Based On The Research Paper 'Language Models Can See: Plugging Visual Controls in Text Generation'. All Credit For This Research Goes...

AI Researchers Introduce Neural Mixtures of Planar Experts (NeurMiPs): A Novel Planar-Based Scene Representation For Modeling Geometry And Appearance

This Article Is Based On The Research Paper 'NeurMiPs: Neural Mixture of Planar Experts for View Synthesis'. All Credit For This Research Goes...

Apple ML Researchers Develop ‘Neo’: A Visual Analytics System That Enables Machine Learning Practitioners To Generalize Confusion Matrix Visualization to Hierarchical and Multi-Output Labels

This Article Is Based On The Research Paper 'Neo: Generalizing Confusion Matrix Visualization to Hierarchical and Multi-Output Labels'. All Credit For This Research Goes...

Amazon Researchers Propose ‘Cold Brew’: A Teacher-Student Distillation Approach To Address The SCS And Noisy-Neighbor Challenges For Graph Neural Networks (GNNs)

This Article Is Based On The Research Paper 'Cold Brew: Distilling graph node representations with incomplete or missing neighborhoods'.. All Credit For This Research...

Google Researchers Introduce ‘MAXIM’: Multi-Axis MLP Based Architecture For Image Processing

This article summary is based on the research paper: 'MAXIM: Multi-Axis MLP for Image Processing'. All credits for this research goes to the authors of...