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2020 – today
- 2023
[c19]Arunkumar Byravan, Jan Humplik, Leonard Hasenclever, Arthur Brussee, Francesco Nori, Tuomas Haarnoja, Ben Moran, Steven Bohez, Fereshteh Sadeghi, Bojan Vujatovic, Nicolas Heess:
NeRF2Real: Sim2real Transfer of Vision-guided Bipedal Motion Skills using Neural Radiance Fields. ICRA 2023: 9362-9369- [i15]Ken Caluwaerts, Atil Iscen, J. Chase Kew, Wenhao Yu, Tingnan Zhang, Daniel Freeman, Kuang-Huei Lee, Lisa Lee, Stefano Saliceti, Vincent Zhuang, Nathan Batchelor, Steven Bohez, Federico Casarini, José Enrique Chen, Omar Cortes, Erwin Coumans, Adil Dostmohamed, Gabriel Dulac-Arnold, Alejandro Escontrela, Erik Frey, Roland Hafner, Deepali Jain, Bauyrjan Jyenis, Yuheng Kuang, Tsang-Wei Edward Lee, Linda Luu, Ofir Nachum, Ken Oslund, Jason Powell, Diego Reyes, Francesco Romano, Fereshteh Sadeghi, Ron Sloat, Baruch Tabanpour, Daniel Zheng, Michael Neunert, Raia Hadsell, Nicolas Heess, Francesco Nori, Jeff Seto, Carolina Parada, Vikas Sindhwani, Vincent Vanhoucke, Jie Tan:
Barkour: Benchmarking Animal-level Agility with Quadruped Robots. CoRR abs/2305.14654 (2023) - 2022
- [c18]Wenxuan Zhou, Steven Bohez, Jan Humplik, Nicolas Heess, Abbas Abdolmaleki, Dushyant Rao, Markus Wulfmeier, Tuomas Haarnoja:
Forgetting and Imbalance in Robot Lifelong Learning with Off-policy Data. CoLLAs 2022: 294-309 - [c17]Philémon Brakel, Steven Bohez, Leonard Hasenclever, Nicolas Heess, Konstantinos Bousmalis:
Learning Coordinated Terrain-Adaptive Locomotion by Imitating a Centroidal Dynamics Planner. IROS 2022: 10335-10342 - [i14]Steven Bohez, Saran Tunyasuvunakool, Philemon Brakel, Fereshteh Sadeghi, Leonard Hasenclever, Yuval Tassa, Emilio Parisotto, Jan Humplik, Tuomas Haarnoja, Roland Hafner, Markus Wulfmeier, Michael Neunert, Ben Moran, Noah Y. Siegel, Andrea Huber, Francesco Romano, Nathan Batchelor, Federico Casarini, Josh Merel, Raia Hadsell, Nicolas Heess:
Imitate and Repurpose: Learning Reusable Robot Movement Skills From Human and Animal Behaviors. CoRR abs/2203.17138 (2022) - [i13]Wenxuan Zhou, Steven Bohez, Jan Humplik, Abbas Abdolmaleki, Dushyant Rao, Markus Wulfmeier, Tuomas Haarnoja, Nicolas Heess:
Offline Distillation for Robot Lifelong Learning with Imbalanced Experience. CoRR abs/2204.05893 (2022) - [i12]Arunkumar Byravan, Jan Humplik, Leonard Hasenclever, Arthur Brussee, Francesco Nori, Tuomas Haarnoja, Ben Moran, Steven Bohez, Fereshteh Sadeghi, Bojan Vujatovic, Nicolas Heess:
NeRF2Real: Sim2real Transfer of Vision-guided Bipedal Motion Skills using Neural Radiance Fields. CoRR abs/2210.04932 (2022) - 2021
- [c16]Sandy H. Huang, Abbas Abdolmaleki, Giulia Vezzani, Philemon Brakel, Daniel J. Mankowitz, Michael Neunert, Steven Bohez, Yuval Tassa, Nicolas Heess, Martin A. Riedmiller, Raia Hadsell:
A Constrained Multi-Objective Reinforcement Learning Framework. CoRL 2021: 883-893 - [i11]Philemon Brakel, Steven Bohez, Leonard Hasenclever, Nicolas Heess, Konstantinos Bousmalis:
Learning Coordinated Terrain-Adaptive Locomotion by Imitating a Centroidal Dynamics Planner. CoRR abs/2111.00262 (2021) - 2020
- [j7]Saran Tunyasuvunakool
, Alistair Muldal, Yotam Doron, Siqi Liu, Steven Bohez, Josh Merel, Tom Erez, Timothy P. Lillicrap, Nicolas Heess, Yuval Tassa:
dm_control: Software and tasks for continuous control. Softw. Impacts 6: 100022 (2020) - [i10]Yuval Tassa, Saran Tunyasuvunakool, Alistair Muldal, Yotam Doron, Siqi Liu, Steven Bohez, Josh Merel, Tom Erez, Timothy P. Lillicrap, Nicolas Heess:
dm_control: Software and Tasks for Continuous Control. CoRR abs/2006.12983 (2020)
2010 – 2019
- 2019
- [j6]Sam Leroux, Steven Bohez, Elias De Coninck, Pieter Van Molle, Bert Vankeirsbilck, Tim Verbelen, Pieter Simoens, Bart Dhoedt:
Multi-fidelity deep neural networks for adaptive inference in the internet of multimedia things. Future Gener. Comput. Syst. 97: 355-360 (2019) - [i9]Steven Bohez, Abbas Abdolmaleki, Michael Neunert, Jonas Buchli, Nicolas Heess, Raia Hadsell:
Value constrained model-free continuous control. CoRR abs/1902.04623 (2019) - 2018
- [j5]Elias De Coninck, Steven Bohez, Sam Leroux, Tim Verbelen, Bert Vankeirsbilck, Pieter Simoens, Bart Dhoedt:
DIANNE: a modular framework for designing, training and deploying deep neural networks on heterogeneous distributed infrastructure. J. Syst. Softw. 141: 52-65 (2018) - [j4]Steven Bohez, Glenn Daneels, Lander Van Herzeele, Niels Van Kets, Sam Decrock, Matthias De Geyter, Glenn Van Wallendael, Peter Lambert, Bart Dhoedt, Pieter Simoens, Steven Latré, Jeroen Famaey:
The crowd as a cameraman: on-stage display of crowdsourced mobile video at large-scale events. Multim. Tools Appl. 77(1): 597-629 (2018) - [c15]Sam Leroux, Steven Bohez, Pieter-Jan Maenhaut, Nathan Meheus, Pieter Simoens, Bart Dhoedt:
Fingerprinting encrypted network traffic types using machine learning. NOMS 2018: 1-5 - [c14]Jie Tan, Tingnan Zhang, Erwin Coumans, Atil Iscen, Yunfei Bai, Danijar Hafner, Steven Bohez, Vincent Vanhoucke:
Sim-to-Real: Learning Agile Locomotion For Quadruped Robots. Robotics: Science and Systems 2018 - [i8]Jie Tan, Tingnan Zhang, Erwin Coumans, Atil Iscen, Yunfei Bai, Danijar Hafner, Steven Bohez, Vincent Vanhoucke:
Sim-to-Real: Learning Agile Locomotion For Quadruped Robots. CoRR abs/1804.10332 (2018) - [i7]Abbas Abdolmaleki, Jost Tobias Springenberg, Jonas Degrave, Steven Bohez, Yuval Tassa, Dan Belov, Nicolas Heess, Martin A. Riedmiller:
Relative Entropy Regularized Policy Iteration. CoRR abs/1812.02256 (2018) - 2017
- [j3]Sam Leroux, Steven Bohez, Elias De Coninck, Tim Verbelen, Bert Vankeirsbilck, Pieter Simoens, Bart Dhoedt:
The cascading neural network: building the Internet of Smart Things. Knowl. Inf. Syst. 52(3): 791-814 (2017) - [c13]Steven Bohez, Tim Verbelen, Elias De Coninck, Bert Vankeirsbilck, Pieter Simoens, Bart Dhoedt:
Sensor fusion for robot control through deep reinforcement learning. IROS 2017: 2365-2370 - [i6]Steven Bohez, Tim Verbelen, Elias De Coninck, Bert Vankeirsbilck, Pieter Simoens, Bart Dhoedt:
Sensor Fusion for Robot Control through Deep Reinforcement Learning. CoRR abs/1703.04550 (2017) - [i5]Pieter Van Molle, Tim Verbelen, Steven Bohez, Sam Leroux, Pieter Simoens, Bart Dhoedt:
Decoupled Learning of Environment Characteristics for Safe Exploration. CoRR abs/1708.02838 (2017) - [i4]Sam Leroux, Steven Bohez, Tim Verbelen, Bert Vankeirsbilck, Pieter Simoens, Bart Dhoedt:
Transfer Learning with Binary Neural Networks. CoRR abs/1711.10761 (2017) - 2016
- [j2]Elias De Coninck, Tim Verbelen, Bert Vankeirsbilck, Steven Bohez, Pieter Simoens, Bart Dhoedt:
Dynamic auto-scaling and scheduling of deadline constrained service workloads on IaaS clouds. J. Syst. Softw. 118: 101-114 (2016) - [c12]Elias De Coninck, Steven Bohez, Sam Leroux, Tim Verbelen, Bert Vankeirsbilck, Bart Dhoedt, Pieter Simoens:
Middleware Platform for Distributed Applications Incorporating Robots, Sensors and the Cloud. CloudNet 2016: 218-223 - [c11]Sam Leroux, Steven Bohez, Elias De Coninck, Tim Verbelen, Bert Vankeirsbilck, Pieter Simoens, Bart Dhoedt:
Multi-fidelity matryoshka neural networks for constrained IoT devices. IJCNN 2016: 1305-1309 - [i3]Cedric De Boom, Sam Leroux, Steven Bohez, Pieter Simoens, Thomas Demeester, Bart Dhoedt:
Efficiency Evaluation of Character-level RNN Training Schedules. CoRR abs/1605.02486 (2016) - [i2]Sam Leroux, Steven Bohez, Cedric De Boom, Elias De Coninck, Tim Verbelen, Bert Vankeirsbilck, Pieter Simoens, Bart Dhoedt:
Lazy Evaluation of Convolutional Filters. CoRR abs/1605.08543 (2016) - 2015
- [j1]Steven Bohez, Tim Verbelen, Pieter Simoens, Bart Dhoedt:
Discrete-event simulation for efficient and stable resource allocation in collaborative mobile cloudlets. Simul. Model. Pract. Theory 50: 109-129 (2015) - [c10]Steven Bohez, Elias De Coninck, Tim Verbelen, Bart Dhoedt:
Androsgi: bringing the power of OSGi to Android. ETX 2015: 1-6 - [c9]Glenn Daneels, Jeroen Famaey, Steven Bohez, Pieter Simoens, Steven Latré:
Upstream Content Scheduling in Wi-Fi DenseNets during Large-Scale Events. GLOBECOM Workshops 2015: 1-7 - [c8]Cedric De Boom, Steven Van Canneyt, Steven Bohez, Thomas Demeester, Bart Dhoedt:
Learning Semantic Similarity for Very Short Texts. ICDM Workshops 2015: 1229-1234 - [c7]Sam Leroux, Steven Bohez, Tim Verbelen, Bert Vankeirsbilck, Pieter Simoens, Bart Dhoedt:
Resource-constrained classification using a cascade of neural network layers. IJCNN 2015: 1-7 - [c6]Elias De Coninck, Tim Verbelen, Bert Vankeirsbilck, Steven Bohez, Pieter Simoens, Piet Demeester, Bart Dhoedt:
Distributed Neural Networks for Internet of Things: The Big-Little Approach. IoT 360 (2) 2015: 484-492 - [c5]Elias De Coninck, Tim Verbelen, Bert Vankeirsbilck, Steven Bohez, Sam Leroux, Pieter Simoens:
DIANNE: Distributed Artificial Neural Networks for the Internet of Things. M4IoT@Middleware 2015: 19-24 - [c4]Steven Bohez, Jaron Couvreur, Bart Dhoedt, Pieter Simoens:
Cloudlet-based Large-scale 3D Reconstruction Using Real-time Data from Mobile Depth Cameras. MCS@MobiCom 2015: 8-14 - [i1]Cedric De Boom, Steven Van Canneyt, Steven Bohez, Thomas Demeester, Bart Dhoedt:
Learning Semantic Similarity for Very Short Texts. CoRR abs/1512.00765 (2015) - 2014
- [c3]Steven Bohez, Elias De Coninck, Tim Verbelen, Pieter Simoens, Bart Dhoedt:
Enabling component-based mobile cloud computing with the AIOLOS middleware. ARM@Middleware 2014: 2:1-2:6 - [c2]Steven Bohez, Jens Mostaert, Tim Verbelen, Pieter Simoens, Bart Dhoedt:
Management of crowdsourced first-person video: street view live. MUM 2014: 11-19 - 2013
- [c1]Steven Bohez, Joeri De Turck, Tim Verbelen, Pieter Simoens, Bart Dhoedt:
Mobile, Collaborative Augmented Reality Using Cloudlets. MOBILWARE 2013: 10-19
Coauthor Index
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