402 citations · 611 across the 25 of their papers we have counts for
4 papers · 1 filter
"Best-of-Many-Samples" Distribution Matching
Apratim Bhattacharyya, Mario Fritz, Bernt Schiele
Generative Adversarial Networks (GANs) can achieve state-of-the-art sample quality in generative modelling tasks but suffer from the mode collapse problem. Variational Autoencoders…
Conditional Flow Variational Autoencoders for Structured Sequence Prediction
Apratim Bhattacharyya, Michael Hanselmann, Mario Fritz +2
Prediction of future states of the environment and interacting agents is a key competence required for autonomous agents to operate successfully in the real world. Prior work for s…
SampleFix: Learning to Generate Functionally Diverse Fixes
Hossein Hajipour, Apratim Bhattacharyya, Cristian-Alexandru Staicu +1
Automatic program repair holds the potential of dramatically improving the productivity of programmers during the software development process and correctness of software in genera…
Updates-Leak: Data Set Inference and Reconstruction Attacks in Online Learning
Ahmed Salem, Apratim Bhattacharya, Michael Backes +2
Machine learning (ML) has progressed rapidly during the past decade and the major factor that drives such development is the unprecedented large-scale data. As data generation is a…