Ameya Joshi
I am a Research Scientist at InstaDeep AI, Boston, interested in multi-modal and sequence models. My current research focuses on building models for genomics and proteomics.
- New York, NY
- Github
- Google Scholar
- ORCID
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Deep Networks: A Rebooot Permalink
less than 1 minute read
Published:
It’s been ages since I last posted here. But it is time to reboot this blog. Read more
How ‘Deep’ runs The rabbit hole Permalink
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…And with what probability? Read more
Kernels Part 1: What is an RBF Kernel? Really? Permalink
less than 1 minute read
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An intriguing article. To look at an RBF kernel as a low pass filter is something novel. It also basically shows why RBF kernels work brilliantly on high dimensional images. Given that your image features generally lie in a continuous domain, an RBF kernel generally can fit smooth solutions and thereby create more relevant separating hyperplanes,especially in case of multiple classes. Read more
An Interesting History of Computer Vision Permalink
less than 1 minute read
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Dr. Fei Fei Li from Stanford discusses the advent and growth of computer vision in recent years. Particularly intersting is her recent research on multimodal interactions and large scale visual recognition. This has been primarily made possible due to the growth in GPU technology. I hope to try out Theano and Caffe for deep learning in this scenario soon. Read more