| 2025 | ECAI | Deep Exploration with PAC-Bayes. | Bahareh Tasdighi, Manuel Haussmann, Nicklas Werge, Yi-Shan Wu, Melih Kandemir |
| 2025 | ECAI | Improving Actor-Critic Training with Steerable Action-Value Approximation Errors. | Bahareh Tasdighi, Nicklas Werge, Yi-Shan Wu, Melih Kandemir |
| 2023 | ACML | Estimation of Counterfactual Interventions under Uncertainties. | Juliane Weilbach, Sebastian Gerwinn, Melih Kandemir, Martin Frnzle |
| 2022 | ICLR | Evidential Turing Processes. | Melih Kandemir, Abdullah Akgl, Manuel Haumann, Gozde Unal |
| 2021 | AISTATS | Learning Partially Known Stochastic Dynamics with Empirical PAC Bayes. | Manuel Haumann, Sebastian Gerwinn, Andreas Look, Barbara Rakitsch, Melih Kandemir |
| 2019 | IJCAI | Deep Active Learning with Adaptive Acquisition. | Manuel Haumann, Fred A. Hamprecht, Melih Kandemir |
| 2019 | UAI | Sampling-Free Variational Inference of Bayesian Neural Networks by Variance Backpropagation. | Manuel Haumann, Fred A. Hamprecht, Melih Kandemir |
| 2018 | ICCCN | On Context-Aware DDoS Attacks Using Deep Generative Networks. | Gonca Grsun, Murat Sensoy, Melih Kandemir |
| 2017 | CVPR | Variational Bayesian Multiple Instance Learning with Gaussian Processes. | Manuel Haumann, Fred A. Hamprecht, Melih Kandemir |
| 2016 | BMVC | Variational Weakly Supervised Gaussian Processes. | Melih Kandemir, Manuel Haumann, Ferran Diego, Kumar T. Rajamani, Jeroen van der Laak, Fred A. Hamprecht |
| 2016 | ECCV | Gaussian Process Density Counting from Weak Supervision. | Matthias von Borstel, Melih Kandemir, Philip Schmidt, Madhavi K. Rao, Kumar T. Rajamani, Fred A. Hamprecht |
| 2015 | ICML | Asymmetric Transfer Learning with Deep Gaussian Processes. | Melih Kandemir |
| 2015 | MICCAI | Cell Event Detection in Phase-Contrast Microscopy Sequences from Few Annotations. | Melih Kandemir, Christian Wojek, Fred A. Hamprecht |
| 2014 | ICPR | Multiple Instance Learning with Response-Optimized Random Forests. | Christoph N. Straehle, Melih Kandemir, Ullrich Kthe, Fred A. Hamprecht |
| 2014 | MICCAI | Event Detection by Feature Unpredictability in Phase-Contrast Videos of Cell Cultures. | Melih Kandemir, Jos C. Rubio, Ute Schmidt, Christian Wojek, Johannes Welbl, Bjrn Ommer, Fred A. Hamprecht |
| 2014 | MICCAI | Empowering Multiple Instance Histopathology Cancer Diagnosis by Cell Graphs. | Melih Kandemir, Chong Zhang, Fred A. Hamprecht |
| 2014 | UAI | Instance Label Prediction by Dirichlet Process Multiple Instance Learning. | Melih Kandemir, Fred A. Hamprecht |
| 2012 | ICMI | Learning relevance from natural eye movements in pervasive interfaces. | Melih Kandemir, Samuel Kaski |
| 2011 | ICONIP | Multitask Learning Using Regularized Multiple Kernel Learning. | Mehmet Gnen, Melih Kandemir, Samuel Kaski |
| 2010 | ETRA | Inferring object relevance from gaze in dynamic scenes. | Melih Kandemir, Veli-Matti Saarinen, Samuel Kaski |