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2020 – today
- 2023
[j2]Anthony Knittel
, Majd Hawasly, Stefano V. Albrecht, John Redford, Subramanian Ramamoorthy:
DiPA: Probabilistic Multi-Modal Interactive Prediction for Autonomous Driving. IEEE Robotics Autom. Lett. 8(8): 4887-4894 (2023)- [j1]Aravinda Ramakrishnan Srinivasan, Yi-Shin Lin, Morris Antonello, Anthony Knittel, Mohamed Hasan, Majd Hawasly, John Redford, Subramanian Ramamoorthy, Matteo Leonetti, Jac Billington, Richard Romano, Gustav Markkula:
Beyond RMSE: Do Machine-Learned Models of Road User Interaction Produce Human-Like Behavior? IEEE Trans. Intell. Transp. Syst. 24(7): 7166-7177 (2023) - [i5]Anthony Knittel, Morris Antonello, John Redford, Subramanian Ramamoorthy:
Comparison of Pedestrian Prediction Models from Trajectory and Appearance Data for Autonomous Driving. CoRR abs/2305.15942 (2023) - [i4]Faris Janjos, Marcel Hallgarten, Anthony Knittel, Maxim Dolgov, Andreas Zell, J. Marius Zöllner:
Conditional Unscented Autoencoders for Trajectory Prediction. CoRR abs/2310.19944 (2023) - 2022
- [i3]Aravinda Ramakrishnan Srinivasan, Yi-Shin Lin, Morris Antonello, Anthony Knittel, Mohamed Hasan, Majd Hawasly, John Redford, Subramanian Ramamoorthy, Matteo Leonetti, Jac Billington, Richard Romano, Gustav Markkula:
Beyond RMSE: Do machine-learned models of road user interaction produce human-like behavior? CoRR abs/2206.11110 (2022) - [i2]Anthony Knittel, Majd Hawasly, Stefano V. Albrecht, John Redford, Subramanian Ramamoorthy:
DiPA: Diverse and Probabilistically Accurate Interactive Prediction. CoRR abs/2210.06106 (2022)
2010 – 2019
- 2014
- [c9]Anthony Knittel, Alan D. Blair:
Coarse and fine learning in deep networks. IJCNN 2014: 792-799 - [i1]Anthony Knittel, Alan D. Blair:
Sparse, guided feature connections in an Abstract Deep Network. CoRR abs/1412.4967 (2014) - 2013
- [b1]Anthony Knittel:
Abstract representations in deep networks, capturing rapid and top-down cognitive processes in artificial learning. University of New South Wales, Sydney, Australia, 2013 - 2012
- [c8]Anthony Knittel, Alan D. Blair:
An Abstract Deep Network for Image Classification. Australasian Conference on Artificial Intelligence 2012: 156-169 - [c7]Anthony Knittel:
Learning feature hierarchies under reinforcement. IEEE Congress on Evolutionary Computation 2012: 1-8 - 2011
- [c6]Anthony Knittel, Terry Bossomaier:
Formation and activation of feature hierarchies under reinforcement. IEEE Congress on Evolutionary Computation 2011: 2677-2684 - [c5]Anthony Knittel:
The formation of context in artificial object recognition. CogSci 2011 - [c4]Anthony Knittel, Terry Bossomaier:
Re-usable features in a hierarchical concept network for autonomous learning in complex games. EAIS 2011: 155-162 - 2010
- [c3]Anthony Knittel:
An activation reinforcement based classifier system for balancing generalisation and specialisation (ARCS). GECCO (Companion) 2010: 1871-1878
2000 – 2009
- 2007
- [c2]Anthony Knittel, Terry Bossomaier, Allan Snyder:
Concept Accessibility as Basis for Evolutionary Reinforcement Learning of Dots and Boxes. CIG 2007: 140-145 - 2006
- [c1]Anthony Knittel, Terry Bossomaier, Mike Harré, Allan Snyder:
Stochastic Reinforcement in Evolutionary Multi-Agent Game Playing of Dots-and-Boxes. CIMCA/IAWTIC 2006: 54
Coauthor Index
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