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Tzu-Ying Chen University of Stuttgart

Replication Data for: Structural development of a novel punctually supported timber building system for multi-storey construction : Experimental Data: Tension Tests of the Edge Connection, , , , , and . Dataset, (2024)Related to: Anna Krtschil, Luis Orozco, Simon Bechert, Hans Jakob Wagner, Felix Amtsberg, Tzu-Ying Chen, Anand Shah, Achim Menges, Jan Knippers, "Structural development of a novel punctually supported timber building system for multi-storey construction", Journal of Building Engineering, Volume 58, 2022, pages 104972. doi: 10.1016/j.jobe.2022.104972.
 

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Biologically-plausible learning algorithms can scale to large datasets., , , and . CoRR, (2018)Biologically-Plausible Learning Algorithms Can Scale to Large Datasets., , , and . ICLR (Poster), OpenReview.net, (2019)Learning Biomimetic Perception for Human Sensorimotor Control., , and . CVPR Workshops, page 1917-1922. IEEE Computer Society, (2018)Biomimetic eye modeling & deep neuromuscular oculomotor control., , , , , and . ACM Trans. Graph., 38 (6): 221:1-221:14 (2019)A Basic Phase Diagram of Neuronal Dynamics., , , , , , , , , and . Neural Computation, (2018)Biomimetic Perception Learning for Human Sensorimotor Control., , and . ISVC, volume 11241 of Lecture Notes in Computer Science, page 68-78. Springer, (2018)Deep learning of biomimetic visual perception for virtual humans., , and . SAP, page 20:1-20:8. ACM, (2018)Modeling of Unit Commitment With AC Power Flow Constraints Through Semi-Continuous Variables., , , and . IEEE Access, (2019)Optimal Scheduling of Active Distribution Networks With Limited Switching Operations Using Mixed-Integer Dynamic Optimization., , , , and . IEEE Trans. Smart Grid, 10 (4): 4221-4234 (2019)Deep learning of biomimetic sensorimotor control for biomechanical human animation., , , , and . ACM Trans. Graph., 37 (4): 56:1-56:15 (2018)