That's me.

UdeM
Incoming Graduate Student,
Computer Science,
University of Montréal

Mila
Incoming Graduate Student,
Fall 2021

WandB
Machine Learning Engineer


Landskape
Founder & Researcher
Landskape


LSR
Research Affiliate,
Laboratory for Space Research,



CV (January 2021)

Email, Scholar, GitHub,
Blog, Twitter, W&B Profile
I work on topics in continual learning, attention mechanisms, robustness and non-linear dynamics, with a broad focus on theoretical deep learning, lifelong learning, representation learning and computer vision.
My previous work has mostly been at the intersection of dynamics and applied computer vision. I also work at the intersection of computer vision and astrophysical sciences.

Along with the applied deep learning aspects, I have a firm interest in abstract algebra and algebraic geometry.

Some recent topics:
  • Non-linear dynamics and loss landscapes
  • Continual Learning
  • Few Shot/ Zero Shot Semantic Segmentation
  • Attention Mechanisms
  • Image Synthesis
See recent publications and projects at Landskape for an idea of what I'm doing now.

As founder and researcher at my group Landskape, I collaborate and undertake research projects mostly at the intersection of analytical theory of deep learning and applied computer vision. Please visit our page for more details.

I will be joining MILA and Université de Montréal in Fall 2021 as a graduate student of computer science specializing in machine learning. Prior to this, I completed my undergraduate in Electronics and Electrical Engineering (EEE) from Kalinga Institute of Industrial Technology (KIIT) under the guidance of Asst. Prof. Dr. Bhargav Appasani.

In the past I have been fortunate to work with the likes of Dr. Amrita Chaturvedi from Indian Institute of Technology, Varanasi (IIT-BHU) in the field of biomedical data analysis and Vijay Kumar Verma from Indian Space Research Organization (ISRO) in the domain of Genetic Algorithms. I have presented my work at conferences in Bangkok and Kuala Lumpur and have been awarded the Research Travel Grant by KIIT.
I also had the honor of interning at Indian Institute of Technology, Kharagpur (IIT-KGP) under Prof Pawan Kumar where I learnt about traditional AI and functional languages like Prolog and Lisp.

I am currently mentored by Prof. Jaegul Choo (KAIST) on topics of super resolution and image reconstruction.

Collaboration Opportunities and Referrals:

At Landskape, we are open to new collaborations and research members for our selected ongoing projects. Please take a look at our projects to have an idea on the scope and domain of our current projects. To reach out to us, please fill in the contact form available on our page. If you're at MILA, feel free to reach out to me directly via email. Additionally, if you're interested in applying for any position at Weights & Biases, please do so via the official portal. Please do not contact me for referrals. You can take a look at the open positions at Weights & Biases here.
  


Recent projects

Publications listed below, in the present page.



Initiatives and Academic Services





Recent News



Publications

 
Mish: A Self Regularized Non-Monotonic Neural Activation Function
Diganta Misra
BMVC, 2020 [pdf][code][CV Talk Episode][ML Cafe Episode][Sicara Talk][Weights & Biases Salon Episode]
 
Rotate to Attend: Convolutional Triplet Attention Module
Diganta Misra, Trikay Nalamada, Ajay Uppili Arasanipalai, Qibin Hou
IEEE WACV, 2021 [pdf][supp][video][code]
 
Genetic Algorithm Optimized Inkjet Printed Electromagnetic Absorber on Paper Substrate
Diganta Misra, Rahul Pelluri, Vijay Kumar Verma, Bhargav Appasani, Nisha Gupta
IEEE AESPC, 2018 [Paper]

Past Research Internships

CSIR LeadingAI Bennett

Past Summer Internships

KGP BU

Past Content Developer Internships

Paperspace DV Digimyx Coso BC

Past Research Collaborations

ISRO IIT-BHU

Past Volunteering

AIESEC UNV

Past Education

KIIT Ravenshaw

Past Schools Attended

DLRLSS