Yash Mehta's Website

Located in Virginia, USA

Hi! I’m a researcher working at the intersection of deep learning and neuroscience at the Funke Lab, HHMI Janelia Research Campus. I’m working on meta-learning biologically plausible plasticity rules in a connectome constraint neural network model.

I am very fortunate to have gotten the opportunity to work with brilliant researchers, who have really inspired me and shaped my attitude towards research. I have worked on Neural Architecture Search with Prof Frank Hutter (ELLIS Fellow) in the most lovely town of Freiburg! Before that, I had an amazing time at the Gatsby Computational Neuroscience Unit at UCL, where I was working on evaluating biologically plausible perturbation-based learning algorithms to train deep networks under the guidance of Prof Peter Latham (Gatsby, UCL) and Tim Lillicrap (DeepMind). My undergraduate thesis on deep learning-based personality prediction with Prof Erik Cambria (NTU SIngapore) is what got me fired up about research in the first place, eventually leading to quit my job at Amazon and dive into research full time ;)

I thoroughly enjoy coding and working on hard algorithmic problems.

News

Oct 1, 2022	Visiting Larry Abbott’s lab in Columbia
Sep 14, 2022	Manuscript on Node Perturbation learning accepted to NeurIPS!
May 27, 2022	Got Married!
Apr 25, 2022	Virtually presented our paper, NAS-Bench-Suite poster at ICLR
Jan 10, 2022	Started at Janelia Research Campus in the Funke Lab

Selected Publications

NeurIPS

Stability and Scalability of Node Perturbation Learning

Naoki Hiratani, Yash Mehta, Timothy Lillicrap, and Peter Latham

In Advances in Neural Information Processing Systems (NeurIPS) 2022

Bib PDF Code

@inproceedings{hiratani2022stability,
  title = {Stability and Scalability of Node Perturbation Learning},
  author = {Hiratani, Naoki and Mehta, Yash and Lillicrap, Timothy and Latham, Peter},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2022},
}

ICLR

NAS-Bench-Suite: NAS Evaluation is (Now) Surprisingly Easy

Yash Mehta, Colin White, Arber Zela, Arjun Krishnakumar, and 5 more authors

In International Conference on Learning Representations (ICLR) 2022

Bib PDF Code

@inproceedings{mehta2022bench,
  title = {NAS-Bench-Suite: NAS Evaluation is (Now) Surprisingly Easy},
  author = {Mehta, Yash and White, Colin and Zela, Arber and Krishnakumar, Arjun and Zabergja, Guri and Moradian, Shakiba and Safari, Mahmoud and Yu, Kaicheng and Hutter, Frank},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2022},
}

NeurIPS

Towards Biologically Plausible Convolutional Networks

Roman Pogodin, Yash Mehta, Timothy Lillicrap, and Peter Latham

In Advances in Neural Information Processing Systems (NeurIPS) 2021

Bib PDF Code

@inproceedings{pogodin2021towards,
  title = {Towards Biologically Plausible Convolutional Networks},
  author = {Pogodin, Roman and Mehta, Yash and Lillicrap, Timothy and Latham, Peter},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  volume = {34},
  year = {2021},
}