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Heinz Köppl
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2020 – today
- 2023
[j38]Christian Fabian
, Kai Cui, Heinz Koeppl:
Mean Field Games on Weighted and Directed Graphs via Colored Digraphons. IEEE Control. Syst. Lett. 7: 877-882 (2023)- [j37]Anam Tahir, Bastian Alt, Amr Rizk, Heinz Koeppl:
Load Balancing in Compute Clusters With Delayed Feedback. IEEE Trans. Computers 72(6): 1610-1622 (2023) - [j36]Mark Sinzger-D'Angelo, Heinz Koeppl:
Counting Processes With Piecewise-Deterministic Markov Conditional Intensity: Asymptotic Analysis, Implementation, and Information-Theoretic Use. IEEE Trans. Inf. Theory 69(11): 6822-6856 (2023) - [c79]Zhen Han, Ruotong Liao, Jindong Gu, Yao Zhang, Zifeng Ding, Yujia Gu, Heinz Koeppl, Hinrich Schütze, Volker Tresp:
ECOLA: Enhancing Temporal Knowledge Embeddings with Contextualized Language Representations. ACL (Findings) 2023: 5433-5447 - [c78]Christian Fabian, Kai Cui, Heinz Koeppl:
Learning Sparse Graphon Mean Field Games. AISTATS 2023: 4486-4514 - [c77]Kai Cui, Mengguang Li, Christian Fabian, Heinz Koeppl:
Scalable Task-Driven Robotic Swarm Control via Collision Avoidance and Learning Mean-Field Control. ICRA 2023: 1192-1199 - [c76]Jannis Weil, Yassin Alkhalili, Anam Tahir, Thomas Gruczyk, Tobias Meuser, Mu Mu, Heinz Koeppl, Andreas Mauthe:
Modeling Quality of Experience for Compressed Point Cloud Sequences based on a Subjective Study. QoMEX 2023: 135-140 - [i67]Kai Cui, Christian Fabian, Heinz Koeppl:
Multi-Agent Reinforcement Learning via Mean Field Control: Common Noise, Major Agents and Approximation Properties. CoRR abs/2303.10665 (2023) - [i66]Dominik Straub, Matthias Schultheis, Heinz Koeppl, Constantin A. Rothkopf:
Probabilistic inverse optimal control with local linearization for non-linear partially observable systems. CoRR abs/2303.16698 (2023) - [i65]Christoph Reich, Tim Prangemeier, André O. Françani, Heinz Koeppl:
An Instance Segmentation Dataset of Yeast Cells in Microstructures. CoRR abs/2304.07597 (2023) - [i64]Kai Cui, Lars Baumgärtner, Burak Yilmaz, Mengguang Li, Christian Fabian, Benjamin Becker, Lin Xiang, Maximilian Bauer, Heinz Koeppl:
UAV Swarms for Joint Data Ferrying and Dynamic Cell Coverage via Optimal Transport Descent and Quadratic Assignment. CoRR abs/2307.02988 (2023) - [i63]Kai Cui, Sascha Hauck, Christian Fabian, Heinz Koeppl:
Learning Decentralized Partially Observable Mean Field Control for Artificial Collective Behavior. CoRR abs/2307.06175 (2023) - [i62]Christoph Reich, Tim Prangemeier, Heinz Koeppl:
The TYC Dataset for Understanding Instance-Level Semantics and Motions of Cells in Microstructures. CoRR abs/2308.12116 (2023) - [i61]Bastian Alt, Heinz Koeppl:
Entropic Matching for Expectation Propagation of Markov Jump Processes. CoRR abs/2309.15604 (2023) - [i60]Akash Kopparam Sreedhara, Deepesh Padala, Shashank Mahesh, Kai Cui, Mengguang Li, Heinz Koeppl:
Optimal Collaborative Transportation for Under-Capacitated Vehicle Routing Problems using Aerial Drone Swarms. CoRR abs/2310.02726 (2023) - [i59]Jiahui Geng, Fengyu Cai, Yuxia Wang, Heinz Koeppl, Preslav Nakov, Iryna Gurevych:
A Survey of Language Model Confidence Estimation and Calibration. CoRR abs/2311.08298 (2023) - 2022
- [j35]Tim Prangemeier, Christian Wildner, André O. Françani, Christoph Reich, Heinz Koeppl:
Yeast cell segmentation in microstructured environments with deep learning. Biosyst. 211: 104557 (2022) - [j34]Yassin Alkhalili, Jannis Weil, Anam Tahir, Tobias Meuser, Boris Koldehofe, Andreas Mauthe, Heinz Koeppl, Ralf Steinmetz:
Towards QoE-Driven Optimization of Multi-Dimensional Content Streaming. Electron. Commun. Eur. Assoc. Softw. Sci. Technol. 80 (2022) - [c75]Özdemir Çetin, Mingzhi Chen, Paul Ziegler, Peter Wild, Heinz Koeppl:
Deep learning-based restaining of histopathological images. BIBM 2022: 1467-1474 - [c74]Sharif Azem, Anam Tahir, Heinz Koeppl:
Dynamic Time Slot Allocation Algorithm for Quadcopter Swarms. CCNC 2022: 1-6 - [c73]Kai Cui, Mustafa Burak Yilmaz, Anam Tahir, Anja Klein, Heinz Koeppl:
Optimal Offloading Strategies for Edge-Computing via Mean-Field Games and Control. GLOBECOM 2022: 976-981 - [c72]Jiekai Jia, Anam Tahir, Heinz Koeppl:
Decentralized Coordination in Partially Observable Queueing Networks. GLOBECOM 2022: 1491-1496 - [c71]Kai Cui, Heinz Koeppl:
Learning Graphon Mean Field Games and Approximate Nash Equilibria. ICLR 2022 - [c70]Lukas Köhs, Bastian Alt, Heinz Koeppl:
Markov Chain Monte Carlo for Continuous-Time Switching Dynamical Systems. ICML 2022: 11430-11454 - [c69]Anam Tahir, Kai Cui, Heinz Koeppl:
Learning Mean-Field Control for Delayed Information Load Balancing in Large Queuing Systems. ICPP 2022: 42:1-42:11 - [c68]Ramzi Ourari, Kai Cui, Ahmed Elshamanhory, Heinz Koeppl:
Nearest-Neighbor-based Collision Avoidance for Quadrotors via Reinforcement Learning. ICRA 2022: 293-300 - [c67]Nicolai Engelmann, Heinz Koeppl:
Forward-Backward Latent State Inference for Hidden Continuous-Time semi-Markov Chains. NeurIPS 2022 - [c66]Matthias Schultheis, Constantin A. Rothkopf, Heinz Koeppl:
Reinforcement Learning with Non-Exponential Discounting. NeurIPS 2022 - [c65]Özdemir Çetin, Yiran Shu, Nadine Flinner, Paul Ziegler, Peter Wild, Heinz Koeppl:
Multi-magnification Networks for Deformable Image Registration on Histopathology Images. WBIR 2022: 124-133 - [i58]Sharif Azem, Anam Tahir, Heinz Koeppl:
Dynamic Time Slot Allocation Algorithm for Quadcopter Swarms. CoRR abs/2202.00919 (2022) - [i57]Sounak Kar, Bastian Alt, Heinz Koeppl, Amr Rizk:
PAQMAN: A Principled Approach to Active Queue Management. CoRR abs/2202.10352 (2022) - [i56]Zhen Han, Ruotong Liao, Beiyan Liu, Yao Zhang, Zifeng Ding, Heinz Köppl, Hinrich Schütze, Volker Tresp:
Enhanced Temporal Knowledge Embeddings with Contextualized Language Representations. CoRR abs/2203.09590 (2022) - [i55]Kai Cui, Wasiur R. KhudaBukhsh, Heinz Koeppl:
Hypergraphon Mean Field Games. CoRR abs/2203.16223 (2022) - [i54]Mark Sinzger-D'Angelo, Heinz Koeppl:
ACID: A Low Dimensional Characterization of Markov-Modulated and Self-Exciting Counting Processes. CoRR abs/2205.07011 (2022) - [i53]Lukas Köhs, Bastian Alt, Heinz Koeppl:
Markov Chain Monte Carlo for Continuous-Time Switching Dynamical Systems. CoRR abs/2205.08803 (2022) - [i52]Anam Tahir, Kai Cui, Heinz Koeppl:
Learning Mean-Field Control for Delayed Information Load Balancing in Large Queuing Systems. CoRR abs/2208.04777 (2022) - [i51]Jiekai Jia, Anam Tahir, Heinz Koeppl:
Decentralized Coordination in Partially Observable Queueing Networks. CoRR abs/2208.13621 (2022) - [i50]Kai Cui, Mustafa Burak Yilmaz, Anam Tahir, Anja Klein, Heinz Koeppl:
Optimal Offloading Strategies for Edge-Computing via Mean-Field Games and Control. CoRR abs/2209.03854 (2022) - [i49]Kai Cui, Anam Tahir, Gizem Ekinci, Ahmed Elshamanhory, Yannick Eich, Mengguang Li, Heinz Koeppl:
A Survey on Large-Population Systems and Scalable Multi-Agent Reinforcement Learning. CoRR abs/2209.03859 (2022) - [i48]Christian Fabian, Kai Cui, Heinz Koeppl:
Learning Sparse Graphon Mean Field Games. CoRR abs/2209.03880 (2022) - [i47]Christian Fabian, Kai Cui, Heinz Koeppl:
Mean Field Games on Weighted and Directed Graphs via Colored Digraphons. CoRR abs/2209.03887 (2022) - [i46]Kai Cui, Mengguang Li, Christian Fabian, Heinz Koeppl:
Scalable Task-Driven Robotic Swarm Control via Collision Avoidance and Learning Mean-Field Control. CoRR abs/2209.07420 (2022) - [i45]Matthias Schultheis, Constantin A. Rothkopf, Heinz Koeppl:
Reinforcement Learning with Non-Exponential Discounting. CoRR abs/2209.13413 (2022) - [i44]Ahmet Gokberk Gul, Özdemir Çetin, Christoph Reich, Tim Prangemeier, Nadine Flinner, Heinz Koeppl:
Histopathological Image Classification based on Self-Supervised Vision Transformer and Weak Labels. CoRR abs/2210.09021 (2022) - [i43]Nicolai Engelmann, Heinz Koeppl:
Forward-Backward Latent State Inference for Hidden Continuous-Time semi-Markov Chains. CoRR abs/2210.09058 (2022) - 2021
- [j33]Thomas Kuebert, Henning Puder, Heinz Koeppl:
Improving Daily Routine Recognition in Hearing Aids Using Sequence Learning. IEEE Access 9: 93237-93247 (2021) - [j32]Nikita Kruk, José A. Carrillo, Heinz Koeppl:
A finite volume method for continuum limit equations of nonlocally interacting active chiral particles. J. Comput. Phys. 440: 110275 (2021) - [j31]Thomas Kuebert, Henning Puder, Heinz Koeppl:
Daily Routine Recognition for Hearing Aid Personalization. SN Comput. Sci. 2(2): 133 (2021) - [c64]Kai Cui, Heinz Koeppl:
Approximately Solving Mean Field Games via Entropy-Regularized Deep Reinforcement Learning. AISTATS 2021: 1909-1917 - [c63]Christian Wildner, Heinz Koeppl:
Moment-Based Variational Inference for Stochastic Differential Equations. AISTATS 2021: 1918-1926 - [c62]Christoph Reich, Tim Prangemeier, Özdemir Çetin, Heinz Koeppl:
OSS-Net: Memory Efficient High Resolution Semantic Segmentation of 3D Medical Data. BMVC 2021: 429 - [c61]Kai Cui, Anam Tahir, Mark Sinzger, Heinz Koeppl:
Discrete-Time Mean Field Control with Environment States. CDC 2021: 5239-5246 - [c60]Dominik Linzner, Heinz Koeppl:
Active Learning of Continuous-time Bayesian Networks through Interventions. ICML 2021: 6692-6701 - [c59]Christoph Reich, Tim Prangemeier, Christian Wildner, Heinz Koeppl:
Multi-StyleGAN: Towards Image-Based Simulation of Time-Lapse Live-Cell Microscopy. MICCAI (8) 2021: 476-486 - [c58]Lukas Köhs, Bastian Alt, Heinz Koeppl:
Variational Inference for Continuous-Time Switching Dynamical Systems. NeurIPS 2021: 20545-20557 - [i42]Tim Prangemeier, Christian Wildner, Maleen Hanst, Heinz Koeppl:
Maximizing Information Gain for the Characterization of Biomolecular Circuits. CoRR abs/2101.02924 (2021) - [i41]Kai Cui, Heinz Koeppl:
Approximately Solving Mean Field Games via Entropy-Regularized Deep Reinforcement Learning. CoRR abs/2102.01585 (2021) - [i40]Christian Wildner, Heinz Koeppl:
Moment-Based Variational Inference for Stochastic Differential Equations. CoRR abs/2103.00988 (2021) - [i39]Kai Cui, Anam Tahir, Mark Sinzger, Heinz Koeppl:
Discrete-Time Mean Field Control with Environment States. CoRR abs/2104.14900 (2021) - [i38]Ramzi Ourari, Kai Cui, Heinz Koeppl:
Decentralized Swarm Collision Avoidance for Quadrotors via End-to-End Reinforcement Learning. CoRR abs/2104.14912 (2021) - [i37]Dominik Linzner, Heinz Koeppl:
Active Learning of Continuous-time Bayesian Networks through Interventions. CoRR abs/2105.14742 (2021) - [i36]Tim Prangemeier, Christoph Reich, Christian Wildner, Heinz Koeppl:
Multi-StyleGAN: Towards Image-Based Simulation of Time-Lapse Live-Cell Microscopy. CoRR abs/2106.08285 (2021) - [i35]Ion Gabriel Ion, Christian Wildner, Dimitrios Loukrezis, Heinz Koeppl, Herbert De Gersem:
Tensor-train approximation of the chemical master equation and its application for parameter inference. CoRR abs/2106.15188 (2021) - [i34]Anam Tahir, Bastian Alt, Amr Rizk, Heinz Koeppl:
Scheduling in Parallel Finite Buffer Systems: Optimal Decisions under Delayed Feedback. CoRR abs/2109.08548 (2021) - [i33]Lukas Köhs, Bastian Alt, Heinz Koeppl:
Variational Inference for Continuous-Time Switching Dynamical Systems. CoRR abs/2109.14492 (2021) - [i32]Christoph Reich, Tim Prangemeier, Özdemir Çetin, Heinz Koeppl:
OSS-Net: Memory Efficient High Resolution Semantic Segmentation of 3D Medical Data. CoRR abs/2110.10640 (2021) - [i31]Kai Cui, Heinz Koeppl:
Learning Graphon Mean Field Games and Approximate Nash Equilibria. CoRR abs/2112.01280 (2021) - 2020
- [j30]Sounak Kar, Robin Rehrmann, Arpan Mukhopadhyay, Bastian Alt, Florin Ciucu, Heinz Koeppl, Carsten Binnig, Amr Rizk:
On the Throughput Optimization in Large-scale Batch-processing Systems. Perform. Evaluation 144: 102142 (2020) - [j29]Sounak Kar, Robin Rehrmann, Arpan Mukhopadhyay, Bastian Alt, Florin Ciucu, Heinz Koeppl, Carsten Binnig, Amr Rizk:
On the Throughput Optimization in Large-Scale Batch-Processing Systems. SIGMETRICS Perform. Evaluation Rev. 48(3): 128-129 (2020) - [j28]Wasiur R. KhudaBukhsh, Sounak Kar, Bastian Alt, Amr Rizk, Heinz Koeppl:
Generalized Cost-Based Job Scheduling in Very Large Heterogeneous Cluster Systems. IEEE Trans. Parallel Distributed Syst. 31(11): 2594-2604 (2020) - [c57]Dominik Linzner, Heinz Koeppl:
A Variational Perturbative Approach to Planning in Graph-Based Markov Decision Processes. AAAI 2020: 7203-7210 - [c56]Tim Prangemeier, Christoph Reich, Heinz Koeppl:
Attention-Based Transformers for Instance Segmentation of Cells in Microstructures. BIBM 2020: 700-707 - [c55]Tim Prangemeier, Christian Wildner, André O. Françani, Christoph Reich, Heinz Koeppl:
Multiclass Yeast Segmentation in Microstructured Environments with Deep Learning. CIBCB 2020: 1-8 - [c54]Nicolai Engelmann, Dominik Linzner, Heinz Koeppl:
Continuous Time Bayesian Networks with Clocks. ICML 2020: 2912-2921 - [c53]Mark Sinzger, Maximilian Gehri, Heinz Koeppl:
Poisson channel with binary Markov input and average sojourn time constraint. ISIT 2020: 2873-2878 - [c52]Bastian Alt, Matthias Schultheis, Heinz Koeppl:
POMDPs in Continuous Time and Discrete Spaces. NeurIPS 2020 - [c51]Sikun Yang, Heinz Koeppl:
The Hawkes Edge Partition Model for Continuous-time Event-based Temporal Networks. UAI 2020: 460-469 - [i30]Sikun Yang, Heinz Koeppl:
The Hawkes Edge Partition Model for Continuous-time Event-based Temporal Networks. CoRR abs/2006.12952 (2020) - [i29]Nicolai Engelmann, Dominik Linzner, Heinz Koeppl:
Continuous-Time Bayesian Networks with Clocks. CoRR abs/2007.00347 (2020) - [i28]Nikita Kruk, José A. Carrillo, Heinz Koeppl:
A Finite Volume Method for Continuum Limit Equations of Nonlocally Interacting Active Chiral Particles. CoRR abs/2008.08493 (2020) - [i27]Sounak Kar, Robin Rehrmann, Arpan Mukhopadhyay, Bastian Alt, Florin Ciucu, Heinz Koeppl, Carsten Binnig, Amr Rizk:
On the Throughput Optimization in Large-Scale Batch-Processing Systems. CoRR abs/2009.09433 (2020) - [i26]Bastian Alt, Matthias Schultheis, Heinz Koeppl:
POMDPs in Continuous Time and Discrete Spaces. CoRR abs/2010.01014 (2020) - [i25]Tim Prangemeier, Christian Wildner, André O. Françani, Christoph Reich, Heinz Koeppl:
Multiclass Yeast Segmentation in Microstructured Environments with Deep Learning. CoRR abs/2011.08062 (2020) - [i24]Tim Prangemeier, Christoph Reich, Heinz Koeppl:
Attention-Based Transformers for Instance Segmentation of Cells in Microstructures. CoRR abs/2011.09763 (2020)
2010 – 2019
- 2019
- [j27]Nurgazy Sulaimanov, Sunil Kumar, Frédéric Burdet, Mark Ibberson, Marco Pagni, Heinz Koeppl:
Inferring gene expression networks with hubs using a degree weighted Lasso approach. Bioinform. 35(6): 987-994 (2019) - [j26]Wasiur R. KhudaBukhsh, Arnab Auddy, Yann Disser, Heinz Koeppl:
Approximate lumpability for Markovian agent-based models using local symmetries. J. Appl. Probab. 56(3): 647-671 (2019) - [j25]Bastian Alt, Markus Weckesser, Christian Becker, Matthias Hollick, Sounak Kar, Anja Klein, Robin Klose, Roland Kluge, Heinz Koeppl, Boris Koldehofe, Wasiur R. KhudaBukhsh, Manisha Luthra, Mahdi Mousavi, Max Mühlhäuser, Martin Pfannemüller, Amr Rizk, Andy Schürr, Ralf Steinmetz:
Transitions: A Protocol-Independent View of the Future Internet. Proc. IEEE 107(4): 835-846 (2019) - [j24]Jérôme Feret, Heinz Koeppl:
Editorial. IEEE ACM Trans. Comput. Biol. Bioinform. 16(5): 1561 (2019) - [j23]Wasiur R. KhudaBukhsh, Sounak Kar, Amr Rizk, Heinz Koeppl:
Provisioning and Performance Evaluation of Parallel Systems with Output Synchronization. ACM Trans. Model. Perform. Evaluation Comput. Syst. 4(1): 6:1-6:31 (2019) - [c50]Christian Wildner, Heinz Koeppl:
Moment-Based Variational Inference for Markov Jump Processes. ICML 2019: 6766-6775 - [c49]Bastian Alt, Trevor Ballard, Ralf Steinmetz, Heinz Koeppl, Amr Rizk:
CBA: Contextual Quality Adaptation for Adaptive Bitrate Video Streaming. INFOCOM 2019: 1000-1008 - [c48]Thomas Kuebert, Henning Puder, Heinz Koeppl:
Daily Routine Recognition with Visual Interactive Labeling by Fusing Acceleration and Audio Signals. ISSPIT 2019: 1-6 - [c47]Dominik Linzner, Michael Schmidt, Heinz Koeppl:
Scalable Structure Learning of Continuous-Time Bayesian Networks from Incomplete Data. NeurIPS 2019: 3741-3751 - [c46]Bastian Alt, Adrian Sosic, Heinz Koeppl:
Correlation Priors for Reinforcement Learning. NeurIPS 2019: 14155-14165 - [i23]Bastian Alt, Trevor Ballard, Ralf Steinmetz, Heinz Koeppl, Amr Rizk:
CBA: Contextual Quality Adaptation for Adaptive Bitrate Video Streaming (Extended Version). CoRR abs/1901.05712 (2019) - [i22]Christian Wildner, Heinz Koeppl:
Moment-Based Variational Inference for Markov Jump Processes. CoRR abs/1905.05451 (2019) - [i21]Dominik Linzner, Michael Schmidt, Heinz Koeppl:
Scalable Structure Learning of Continuous-Time Bayesian Networks from Incomplete Data. CoRR abs/1909.04570 (2019) - [i20]Bastian Alt, Adrian Sosic, Heinz Koeppl:
Correlation Priors for Reinforcement Learning. CoRR abs/1909.05106 (2019) - [i19]Dominik Linzner, Heinz Koeppl:
A Variational Perturbative Approach to Planning in Graph-based Markov Decision Processes. CoRR abs/1912.01849 (2019) - [i18]François Fages, Katsumi Inoue, Heinz Koeppl, Chris Myers, Yoshihiro Shimizu:
Formal methods for the synthesis of biomolecular circuits (NII Shonan Meeting 157). NII Shonan Meet. Rep. 2019 (2019) - 2018
- [j22]Adrian Sosic, Elmar Rueckert, Jan Peters, Abdelhak M. Zoubir, Heinz Koeppl:
Inverse Reinforcement Learning via Nonparametric Spatio-Temporal Subgoal Modeling. J. Mach. Learn. Res. 19: 69:1-69:45 (2018) - [j21]Adrian Sosic, Abdelhak M. Zoubir, Heinz Koeppl:
A Bayesian Approach to Policy Recognition and State Representation Learning. IEEE Trans. Pattern Anal. Mach. Intell. 40(6): 1295-1308 (2018) - [j20]Adrian Sosic, Abdelhak M. Zoubir, Heinz Koeppl:
Reinforcement learning in a continuum of agents. Swarm Intell. 12(1): 23-51 (2018) - [j19]Adrian Sosic, Abdelhak M. Zoubir, Heinz Koeppl:
Correction to: Reinforcement learning in a continuum of agents. Swarm Intell. 12(4): 361 (2018) - [c45]Sikun Yang, Heinz Koeppl:
A Poisson Gamma Probabilistic Model for Latent Node-Group Memberships in Dynamic Networks. AAAI 2018: 4366-4373 - [c44]Adrian Sosic, Abdelhak M. Zoubir, Heinz Koeppl:
Inverse Reinforcement Learning via Nonparametric Subgoal Modeling. AAAI Spring Symposia 2018 - [c43]Sikun Yang, Heinz Koeppl:
Collapsed Variational Inference for Nonparametric Bayesian Group Factor Analysis. ICDM 2018: 687-696 - [c42]Sikun Yang, Heinz Koeppl:
Dependent Relational Gamma Process Models for Longitudinal Networks. ICML 2018: 5547-5556 - [c41]Wasiur R. KhudaBukhsh, Bastian Alt, Sounak Kar, Amr Rizk, Heinz Koeppl:
Collaborative Uploading in Heterogeneous Networks: Optimal and Adaptive Strategies. INFOCOM 2018: 1-9 - [c40]Sara Al-Sayed, Heinz Koeppl:
Network Reconstruction From Time-Course Perturbation Data Using Multivariate Gaussian Processes. MLSP 2018: 1-6 - [c39]Tim Prangemeier, Christian Wildner, Maleen Hanst, Heinz Koeppl:
Maximizing information gain for the characterization of biomolecular circuits. NANOCOM 2018: 1:1-1:6 - [c38]Dominik Linzner, Heinz Koeppl:
Cluster Variational Approximations for Structure Learning of Continuous-Time Bayesian Networks from Incomplete Data. NeurIPS 2018: 7891-7901 - [c37]Bastian Alt, Michael Messer, Jochen Roeper, Gaby Schneider, Heinz Koeppl:
Non-Parametric Bayesian Inference for Change Point Detection in Neural Spike Trains. SSP 2018: 258-262 - [i17]Adrian Sosic, Elmar Rueckert, Jan Peters, Abdelhak M. Zoubir, Heinz Koeppl:
Inverse Reinforcement Learning via Nonparametric Spatio-Temporal Subgoal Modeling. CoRR abs/1803.00444 (2018) - [i16]Sikun Yang, Heinz Koeppl:
A Poisson Gamma Probabilistic Model for Latent Node-group Memberships in Dynamic Networks. CoRR abs/1805.11054 (2018) - [i15]