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Evidential Turing Processes


Jun 02, 2021
Melih Kandemir, Abdullah Akgül, Manuel Haussmann, Gozde Unal


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Differentiable Implicit Layers


Oct 14, 2020
Andreas Look, Simona Doneva, Melih Kandemir, Rainer Gemulla, Jan Peters


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Learning Partially Known Stochastic Dynamics with Empirical PAC Bayes


Jun 17, 2020
Manuel Haussmann, Sebastian Gerwinn, Andreas Look, Barbara Rakitsch, Melih Kandemir


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Deterministic Inference of Neural Stochastic Differential Equations


Jun 16, 2020
Andreas Look, Chen Qiu, Maja Rudolph, Jan Peters, Melih Kandemir


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Differential Bayesian Neural Nets


Dec 02, 2019
Look Andreas, Melih Kandemir

* 4th workshop on Bayesian Deep Learning (NeurIPS 2019), Vancouver, Canada 

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Deep Active Learning with Adaptive Acquisition


Jun 27, 2019
Manuel Haussmann, Fred A. Hamprecht, Melih Kandemir

* Accepted at IJCAI 2019 

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Bayesian Prior Networks with PAC Training


Jun 03, 2019
Manuel Haussmann, Sebastian Gerwinn, Melih Kandemir


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Evidential Deep Learning to Quantify Classification Uncertainty


Oct 31, 2018
Murat Sensoy, Lance Kaplan, Melih Kandemir


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Sampling-Free Variational Inference of Bayesian Neural Nets


May 19, 2018
Melih Kandemir, Manuel Haussmann, Fred A. Hamprecht


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