WiCluster: Passive Indoor 2D/3D Positioning using WiFi without Precise Labels. - Ilia Karmanov; Farhad G. Zanjani; Ishaque Kadampot; Simone Merlin; Daniel Dijkman (GLOBECOM, 2021)

Deep Learning Frameworks for Weakly-Supervised Indoor Localization. - Farhad G. Zanjani; Ilia Karmanov; Hanno Ackermann; Daniel Dijkman; Simone Merlin; Ishaque Kadampot; Brian Buesker; Vamsi Vegunta; Fatih Porikli (NeurIPS (Competition and Demos), 2021)

Modality-Agnostic Topology Aware Localization. - Farhad Ghazvinian Zanjani; Ilia Karmanov; Hanno Ackermann; Daniel Dijkman; Simone Merlin; Max Welling; Fatih Porikli (NeurIPS, 2021)

Deconfounded Imitation Learning. - Risto Vuorio; Johann Brehmer; Hanno Ackermann; Daniel Dijkman; Taco Cohen; Pim de Haan (CoRR, 2022)

Neural 5G Indoor Localization with IMU Supervision. - Aleksandr Ermolov; Shreya Kadambi; Maximilian Arnold; Mohammed Hirzallah; Roohollah Amiri; Deepak Singh Mahendar Singh; Srinivas Yerramalli; Daniel Dijkman; Fatih Porikli; Taesang Yoo; Bence Major (GLOBECOM, 2023)

Uncertainty-driven Affordance Discovery for Efficient Robotics Manipulation. - Pietro Mazzaglia; Taco Cohen; Daniel Dijkman (CoRR, 2023)

Information-driven Affordance Discovery for Efficient Robotic Manipulation. - Pietro Mazzaglia; Taco Cohen; Daniel Dijkman (ICRA, 2024)

ClevrSkills: Compositional Language And Visual Reasoning in Robotics. - Sanjay Haresh; Daniel Dijkman; Apratim Bhattacharyya; Roland Memisevic (NeurIPS, 2024)

Deconfounding Imitation Learning with Variational Inference. - Risto Vuorio; Pim de Haan; Johann Brehmer; Hanno Ackermann; Daniel Dijkman; Taco Cohen (Trans. Mach. Learn. Res., 2024)