| 2023 | ICLR | How gradient estimator variance and bias impact learning in neural networks. | Arna Ghosh, Yuhan Helena Liu, Guillaume Lajoie, Konrad P. Krding, Blake Aaron Richards |
| 2020 | ICLR | Spike-based causal inference for weight alignment. | Jordan Guerguiev, Konrad P. Krding, Blake A. Richards |
| 2019 | ICLR | Measuring and regularizing networks in function space. | Ari S. Benjamin, David Rolnick, Konrad P. Krding |
| 2018 | ECCV | Accelerating Dynamic Programs via Nested Benders Decomposition with Application to Multi-Person Pose Estimation. | Shaofei Wang, Alexander Ihler, Konrad P. Krding, Julian Yarkony |
| 2016 | UAI | Convex Relaxation Regression: Black-Box Optimization of Smooth Functions by Learning Their Convex Envelopes. | Mohammad Gheshlaghi Azar, Eva L. Dyer, Konrad P. Krding |
| 2006 | ACL | Unsupervised Topic Modelling for Multi-Party Spoken Discourse. | Matthew Purver, Konrad P. Krding, Thomas L. Griffiths, Joshua B. Tenenbaum |
| 2003 | ICANN | Optimal Coding for Naturally Occurring Whisker Deflections. | Verena Vanessa Hafner, Miriam Fend, Max Lungarella, Rolf Pfeifer, Peter Knig, Konrad P. Krding |
| 2002 | ICANN | Learning Multiple Feature Representations from Natural Image Sequences. | Wolfgang Einhuser, Christoph Kayser, Konrad P. Krding, Peter Knig |
| 2001 | ICANN | Extracting Slow Subspaces from Natural Videos Leads to Complex Cells. | Christoph Kayser, Wolfgang Einhuser, Olaf Dmmer, Peter Knig, Konrad P. Krding |
| 2000 | IJCNN | Two Sites of Synaptic Integration: Relevant for Learning? | Konrad P. Krding, Peter Knig |