Kundan Kumar
Email: kundankumar2510-AT-gmail.com

I am a final year B. Tech. - M. Tech. dual degree student in Computer Science and Engineering department at IIT Kanpur

Currently, I am visiting MILA, University of Montreal as an intern. I am advised by Prof. Vinay P. Namboodiri and Prof. Yoshua Bengio for my masters thesis.

I visited Computer Vision lab, UMASS, Amherst in summers 2015 where I worked with Prof. Subhransu Maji

CV | Github | LinkedIn

  • Two papers (sampleRNN and pixelVAE) are on arXiv.
  • Paper explaining texture generation networks accepted at ICASSP, 2017.
  • My team won Xerox Research Innovation Challenge held in Decemeber 2015. The competition blog post lies here.

[NEW] SampleRNN: An Unconditional End-to-End Neural Audio Generation Model
Soroush Mehri, Kundan Kumar, Ishaan Gulrajani, Rithesh Kumar, Shubham Jain, Jose Sotelo, Aaron Courville, Yoshua Bengio
Accepted at ICLR, 2017


[NEW] PixelVAE: A Latent Variable Model for Natural Images
Ishaan Gulrajani, Kundan Kumar, Faruk Ahmed, Adrien Ali Taiga, Francesco Visin, David Vazquez, Aaron Courville
Accepted at ICLR, 2017


[NEW] On Random Weights for Texture Generation in One Layer Neural Networks
Mihir Mongia, Kundan Kumar, Akram Erraqabi, Yoshua Bengio
Accepted at ICASSP, 2017

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