• On fair division with binary valuations respecting social networks 

  Misra, Neeldhara; Nayak, Debanuj (Cornell University Library, 2021-11)

  We study the computational complexity of finding fair allocations of indivisible goods in the setting where a social network on the agents is given. Notions of fairness in this context are "localized", that is, agents are ...
• A tutorial-style introduction to DY* 

  Bhargavan, Karthikeyan; Bichhawat, Abhishek; Huy Do, Quoc; Hosseyni, Pedram; K�sters, Ralf; Schmitz, Guido; W�rtele, Tim (2021-12)
• Primitives enhancing GPU runtime support for improved DNN performance 

  Dhakal, Aditya; Kulkarni, Sameer G.; Ramakrishnan, K. K. (05-08-21)
• An in-depth symbolic security analysis of the ACME standard 

  Bhargavan, Karthikeyan; Bichhawat, Abhishek; Huy Do, Quoc; Hosseyni, Pedram; Kusters, Ralf; Schmitz, Guido; Wurtele, Tim (15-11-21)
• FMD-cGAN: Fast Motion Deblurring using Conditional Generative Adversarial Networks 

  Kumar, Jatin; Mastan, Indra Deep; Raman, Shanmuganathan (03-12-21)
• DILIE: Deep Internal Learning for Image Enhancement 

  Mastan, Indra Deep; Singh, Prajwal; Raman, Shanmuganathan (04-01-22)
• Recent advancements in self-supervised paradigms for visual feature representation 

  Anand, Mrinal; Garg, Aditya (Cornell University Library, 2021-11)

  We witnessed a massive growth in the supervised learning paradigm in the past decade. Supervised learning requires a large amount of labeled data to reach state-of-the-art performance. However, labeling the samples requires ...
• Mu: an efficient, fair and responsive serverless framework for resource-constrained edge clouds 

  Mittal, Viyom; Qi, Shixiong; Bhattacharya, Ratnadeep; Lyu, Xiaosu; Li, Junfeng; Kulkarni, Sameer G.; Li, Dan; Hwang, Jinho; Ramakrishnan, K. K.; Wood, Timothy (01-11-21)
• Imbalance parameterized by twin cover revisited 

  Misra, Neeldhara; Mittal, Harshil (Elsevier, 2021-12)

  Imbalance is a classical graph layout problem with several applications, particularly in graph drawing. The imbalance of a layout σ is determined by how well-balanced the neighbors of the vertices are in σ. In the present ...
• HDRVideo-GAN: deep generative HDR video reconstruction 

  Anand, Mrinal; Harilal, Nidhin; Kumar, Chandan; Raman, Shanmuganathan (Cornell University Library, 2021-10)

  High dynamic range (HDR) videos provide a more visually realistic experience than the standard low dynamic range (LDR) videos. Despite having significant progress in HDR imaging, it is still a challenging task to capture ...
• Automated medical diagnosis using deep neural networks 

  Basha, Shaik Mahaboob Jani (Indian Institute of Technology Gandhinagar, 2021)
• Generating X from the embedding of images and text 

  Singh, Prajwal Kumar (Indian Institute of Technology Gandhinagar, 2021)
• Fair Representative Clustering 

  Kumari, Jyoti (Indian Institute of Technology Gandhinagar, 2021)
• Siamese network performance gain in the face of data scarcity 

  Podder, Utpal (Indian Institute of Technology Gandhinagar, 2021)
• Uncertainty quantification using bayesian neural networks: application to plant disease detection and physics guided machine learning 

  Vagadiya, Jenilkumar Virendra (Indian Institute of Technology Gandhinagar, 2021)
• Comparative study of correlation clustering algorithms 

  Srikrishnan, Sreejith (Indian Institute of Technology Gandhinagar, 2021)
• Introducing sparsity to point sets for completion of coarse and dense point clouds 

  Bankoti, Jaideep Singh (Indian Institute of Technology Gandhinagar, 2021)
• Fast Deblurring cGAN 

  Kumar, Jatin (Indian Institute of Technology Gandhinagar, 2021)
• Algorithms and space efficient representations for finite groups 

  Sharma, Shivdutt (Indian Institute of Technology Gandhinagar, 2020)
• Streaming coresets for machine learning algorithms 

  Shit, Supratim (Indian Institute of Technology Gandhinagar, 2021)

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