• ECML: Improving efficiency of machine learning in edge clouds 

  Dhakal, Aditya; Kulkarni, Sameer G.; Ramakrishnan, K. K. (2020-11-09)
• EdgeNILM: towards NILM on edge devices 

  Kukunuri, Rithwik; Aglawe, Anup; Chauhan, Jainish; Bhagtani, Kratika; Patil, Rohan; Walia, Sumit; Batra, Nipun (2020-11-16)
• A toolkit for spatial interpolation and sensor placement: poster abstract 

  Narayanan, S. Deepak; Patel, Zeel B.; Agnihotri, Apoorv; Batra, Nipun (2020-11-16)
• Impact of COVID19 lockdown on household energy consumption on two Indian cities: poster abstract 

  Pathak, Rachna; Agrawal, Shalu; Adhikary, Rishiraj; Batra, Nipun; Ganesan, Karthik (2020-11-16)
• End to end binarized neural networks for text classification 

  Kumar, Shridhar; Jain, Harshil; Agarwal, Akshat; Kleyko, Denis (2020-11-20)
• Blind motion deblurring through SinGAN architecture 

  Jain, Harshil; Patil, Rohit; Mastan, Indra Deep; Raman, Shanmuganathan (Cornell University Library, 2020-11)

  Blind motion deblurring involves reconstructing a sharp image from an observation that is blurry. It is a problem that is ill-posed and lies in the categories of image restoration problems. The training data-based methods ...
• DeepCFL: Deep Contextual Features Learning from a single image 

  Mastan, Indra Deep; Raman, Shanmuganathan (Cornell University Library, 2020-11)

  Recently, there is a vast interest in developing image feature learning methods that are independent of the training data, such as deep image prior, InGAN, SinGAN, and DCIL. These methods are unsupervised and are used to ...
• An open problem: energy data super-resolution 

  Kukunuri, Rithwik; Batra, Nipun; Wang, Hongning (2020-11-16)
• Lessons from large scale campus deployment 

  Adhikary, Rishiraj; Pachpande, Soham; Batra, Nipun (2020-11-16)
• PsychFM: predicting your next gamble 

  Ranjan, Prakash; Miyapuram, Krishna Prasad (19-07-20)
• PoliWAM: an exploration of a large scale corpus of political discussions on WhatsApp messenger 

  Srivastava, Vivek; Singh, Mayank (Cornell University Library, 2020-10)

  WhatsApp Messenger is one of the most popular channels for spreading information with a current reach of more than 180 countries and 2 billion people. Its widespread usage has made it one of the most popular media for ...
• Machine learning at the edge: efficient utilization of limited CPU/GPU resources by multiplexing 

  Dhakal, Aditya; Kulkarni, Sameer G.; Ramakrishnan, K. K. (13-10-20)
• DeepCFL: Deep Contextual Features Learning from a single image 

  Mastan, Indra Deep; Raman, Shanmuganathan (05-01-21)
• Nearly linear time isomorphism algorithms for some nonabelian group classes 

  Das, Bireswar; Sharma, Shivdutt (Springer, 2020-10)

  The isomorphism problem for groups, when the groups are given by their Cayley tables is a well-studied problem. This problem has been studied for various restricted classes of groups. Kavitha gave a linear time isomorphism ...
• Computational tools for understanding air pollution 

  Adhikary, Rishiraj; Batra, Nipun (2020-09-17)
• Naqaab: towards health sensing and persuasion via masks 

  Adhikary, Rishiraj; Srivastava, Tanmay; Khanna, Prerna; Senapati, Aabhas Asit; Batra, Nipun (2020-09-17)
• Do we breathe the same air 

  Adhikary, Rishiraj; Batra, Nipun (2020-09-17)
• Parameterized complexity of happy coloring problems 

  Agrawal, Akanksha; Aravind, N.R.; Kalyanasundaram, Subrahmanyam; Kare, Anjeneya Swami; Lauri, Juho; Misra, Neeldhara; Reddy, I. Vinod (Elsevier, 2020-10)
• CovidExplorer: a multi-faceted AI-based search and visualization engine for COVID-19 information 

  Ambavi, Heer; Vaishnaw, Kavita; Vyas, Udit; Tiwari, Abhisht; Singh, Mayank (2020-10-19)
• Budgeted influence maximization with tags in social networks 

  Banerjee, Suman; Pal, Bithika; Jenamani, Mamata (2020-10-20)

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