Discovering reoccurring motifs to predict opponent behavior. - Auke J. Wiggers; Arnoud Visser (ICAR, 2013)

Structure in the Value Function of Two-Player Zero-Sum Games of Incomplete Information. - Auke J. Wiggers; Frans A. Oliehoek; Diederik M. Roijers (ECAI, 2016)

Risk-averse Behavior Planning for Autonomous Driving under Uncertainty. - Mohammad Naghshvar; Ahmed K. Sadek; Auke J. Wiggers (CoRR, 2018)

Simulating Execution Time of Tensor Programs using Graph Neural Networks. - Jakub M. Tomczak; Romain Lepert; Auke J. Wiggers (CoRR, 2019)

Evolutionary Algorithm with Non-parametric Surrogate Model for Tensor Program optimization. - Ioannis Gatopoulos; Romain Lepert; Auke J. Wiggers; Giovanni Mariani; Jakub M. Tomczak (CEC, 2020)

Predictive Sampling with Forecasting Autoregressive Models. - Auke J. Wiggers; Emiel Hoogeboom (ICML, 2020)

Parallelized Rate-Distortion Optimized Quantization Using Deep Learning. - Dana Kianfar; Auke J. Wiggers; Amir Said; Reza Pourreza 002; Taco Cohen (MMSP, 2020)

GameCodec: Neural Cloud Gaming Video Codec. - Hoang Le; Reza Pourreza 002; Amir Said; Guillaume Sautière; Auke J. Wiggers (BMVC, 2022)

MobileCodec: neural inter-frame video compression on mobile devices. - Hoang Le; Liang Zhang; Amir Said; Guillaume Sautière; Yang Yang 010; Pranav Shrestha; Fei Yin; Reza Pourreza 002; Auke J. Wiggers (MMSys, 2022)

A neural video codec with spatial rate-distortion control. - Noor Fathima Ghouse; Jens Petersen; Guillaume Sautière; Auke J. Wiggers; Reza Pourreza 002 (WACV, 2023)

Boosting neural video codecs by exploiting hierarchical redundancy. - Reza Pourreza 002; Hoang Le; Amir Said; Guillaume Sautière; Auke J. Wiggers (WACV, 2023)

Neural Image Compression with a Diffusion-Based Decoder. - Noor Fathima Ghouse; Jens Petersen; Auke J. Wiggers; Tianlin Xu; Guillaume Sautière (CoRR, 2023)

Instance-Adaptive Video Compression: Improving Neural Codecs by Training on the Test Set. - Ties van Rozendaal; Johann Brehmer; Yunfan Zhang; Reza Pourreza 002; Auke J. Wiggers; Taco Cohen (Trans. Mach. Learn. Res., 2023)

CodeIt: Self-Improving Language Models with Prioritized Hindsight Replay. - Natasha Butt; Blazej Manczak; Auke J. Wiggers; Corrado Rainone; David W. Zhang; Michaël Defferrard; Taco Cohen (ICML, 2024)

MobileNVC: Real-time 1080p Neural Video Compression on a Mobile Device. - Ties van Rozendaal; Tushar Singhal; Hoang Le; Guillaume Sautière; Amir Said; Krishna Buska; Anjuman Raha; Dimitris Kalatzis; Hitarth Mehta; Frank Mayer; Liang Zhang; Markus Nagel; et al. (WACV, 2024)

Generative Location Modeling for Spatially Aware Object Insertion. - Jooyeol Yun; Davide Abati; Mohamed Omran; Jaegul Choo; Amirhossein Habibian; Auke J. Wiggers (CoRR, 2024)

Gaussian Splatting is an Effective Data Generator for 3D Object Detection. - Farhad G. Zanjani; Davide Abati; Auke J. Wiggers; Dimitris Kalatzis; Jens Petersen; Hong Cai; Amirhossein Habibian (CoRR, 2025)

Scene-Aware Location Modeling for Data Augmentation in Automotive Object Detection. - Jens Petersen; Davide Abati; Amirhossein Habibian; Auke J. Wiggers (CoRR, 2025)

Controllable 3D Placement of Objects with Scene-Aware Diffusion Models. - Mohamed Omran; Dimitris Kalatzis; Jens Petersen; Amirhossein Habibian; Auke J. Wiggers (CoRR, 2025)