Steven Bohez - RankMe

45 papers A* 1A 3B 4Misc 1Journal 25Unranked 11

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Motion Tracking with Muscles: Predictive Control of a Parametric Musculoskeletal Canine Model. CoRR Vittorio La Barbera, Steven Bohez, Leonard Hasenclever, Yuval Tassa, John R. Hutchinson
2025	J	`jnl`	Proc4Gem: Foundation models for physical agency through procedural generation. CoRR Yixin Lin, Jan Humplik, Sandy H. Huang, Leonard Hasenclever, Francesco Romano, Stefano Saliceti, Daniel Zheng, José Enrique Chen, Catarina Barros, Adrian Collister, Matt Young, Adil Dostmohamed, Ben Moran, Ken Caluwaerts, Marissa Giustina, Joss Moore, Kieran Connell, Francesco Nori, Nicolas Heess, Steven Bohez, Arunkumar Byravan
2025	J	`jnl`	Splatting Physical Scenes: End-to-End Real-to-Sim from Imperfect Robot Data. CoRR Ben Moran, Mauro Comi, Arunkumar Byravan, Steven Bohez, Tom Erez, Zhibin Li, Leonard Hasenclever
2024	A	`conf`	The Design of the Barkour Benchmark for Robot Agility. IROS Wenhao Yu, Ken Caluwaerts, Atil Iscen, J. Chase Kew, Tingnan Zhang, Daniel Freeman, Lisa Lee, Stefano Saliceti, Vincent Zhuang, Nathan Batchelor, Steven Bohez, Federico Casarini, José Enrique Chen, Erwin Coumans, Adil Dostmohamed, Gabriel Dulac-Arnold, Alejandro Escontrela, Erik Frey, Roland Hafner, Deepali Jain, Bauyrjan Jyenis, Yuheng Kuang, Tsang-Wei Edward Lee, Ofir Nachum, Ken Oslund, Francesco Romano, Fereshteh Sadeghi, Baruch Tabanpour, Daniel Zheng, Michael Neunert, Raia Hadsell, Nicolas Heess, Francesco Nori, Jeff Seto, Carolina Parada, Vikas Sindhwani, Vincent Vanhoucke, Jie Tan, Kuang-Huei Lee
2023	J	`jnl`	Barkour: Benchmarking Animal-level Agility with Quadruped Robots. CoRR 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
2023	A*	`conf`	NeRF2Real: Sim2real Transfer of Vision-guided Bipedal Motion Skills using Neural Radiance Fields. ICRA Arunkumar Byravan, Jan Humplik, Leonard Hasenclever, Arthur Brussee, Francesco Nori, Tuomas Haarnoja, Ben Moran, Steven Bohez, Fereshteh Sadeghi, Bojan Vujatovic, Nicolas Heess
2022	—	`conf`	Forgetting and Imbalance in Robot Lifelong Learning with Off-policy Data. CoLLAs Wenxuan Zhou, Steven Bohez, Jan Humplik, Nicolas Heess, Abbas Abdolmaleki, Dushyant Rao, Markus Wulfmeier, Tuomas Haarnoja
2022	J	`jnl`	Imitate and Repurpose: Learning Reusable Robot Movement Skills From Human and Animal Behaviors. CoRR 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
2022	A	`conf`	Learning Coordinated Terrain-Adaptive Locomotion by Imitating a Centroidal Dynamics Planner. IROS Philémon Brakel, Steven Bohez, Leonard Hasenclever, Nicolas Heess, Konstantinos Bousmalis
2022	J	`jnl`	NeRF2Real: Sim2real Transfer of Vision-guided Bipedal Motion Skills using Neural Radiance Fields. CoRR Arunkumar Byravan, Jan Humplik, Leonard Hasenclever, Arthur Brussee, Francesco Nori, Tuomas Haarnoja, Ben Moran, Steven Bohez, Fereshteh Sadeghi, Bojan Vujatovic, Nicolas Heess
2022	J	`jnl`	Offline Distillation for Robot Lifelong Learning with Imbalanced Experience. CoRR Wenxuan Zhou, Steven Bohez, Jan Humplik, Abbas Abdolmaleki, Dushyant Rao, Markus Wulfmeier, Tuomas Haarnoja, Nicolas Heess
2021	Misc	`conf`	A Constrained Multi-Objective Reinforcement Learning Framework. CoRL 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
2021	J	`jnl`	Learning Coordinated Terrain-Adaptive Locomotion by Imitating a Centroidal Dynamics Planner. CoRR Philemon Brakel, Steven Bohez, Leonard Hasenclever, Nicolas Heess, Konstantinos Bousmalis
2020	J	`jnl`	dm_control: Software and Tasks for Continuous Control. CoRR Yuval Tassa, Saran Tunyasuvunakool, Alistair Muldal, Yotam Doron, Siqi Liu, Steven Bohez, Josh Merel, Tom Erez, Timothy P. Lillicrap, Nicolas Heess
2020	J	`jnl`	dm_control: Software and tasks for continuous control. Softw. Impacts Saran Tunyasuvunakool, Alistair Muldal, Yotam Doron, Siqi Liu, Steven Bohez, Josh Merel, Tom Erez, Timothy P. Lillicrap, Nicolas Heess, Yuval Tassa
2019	J	`jnl`	Multi-fidelity deep neural networks for adaptive inference in the internet of multimedia things. Future Gener. Comput. Syst. Sam Leroux, Steven Bohez, Elias De Coninck, Pieter Van Molle, Bert Vankeirsbilck, Tim Verbelen, Pieter Simoens, Bart Dhoedt
2019	J	`jnl`	Value constrained model-free continuous control. CoRR Steven Bohez, Abbas Abdolmaleki, Michael Neunert, Jonas Buchli, Nicolas Heess, Raia Hadsell
2018	J	`jnl`	DIANNE: a modular framework for designing, training and deploying deep neural networks on heterogeneous distributed infrastructure. J. Syst. Softw. Elias De Coninck, Steven Bohez, Sam Leroux, Tim Verbelen, Bert Vankeirsbilck, Pieter Simoens, Bart Dhoedt
2018	B	`conf`	Fingerprinting encrypted network traffic types using machine learning. NOMS Sam Leroux, Steven Bohez, Pieter-Jan Maenhaut, Nathan Meheus, Pieter Simoens, Bart Dhoedt
2018	J	`jnl`	Relative Entropy Regularized Policy Iteration. CoRR Abbas Abdolmaleki, Jost Tobias Springenberg, Jonas Degrave, Steven Bohez, Yuval Tassa, Dan Belov, Nicolas Heess, Martin A. Riedmiller
2018	—	`conf`	Sim-to-Real: Learning Agile Locomotion For Quadruped Robots. Robotics: Science and Systems Jie Tan, Tingnan Zhang, Erwin Coumans, Atil Iscen, Yunfei Bai, Danijar Hafner, Steven Bohez, Vincent Vanhoucke
2018	J	`jnl`	Sim-to-Real: Learning Agile Locomotion For Quadruped Robots. CoRR Jie Tan, Tingnan Zhang, Erwin Coumans, Atil Iscen, Yunfei Bai, Danijar Hafner, Steven Bohez, Vincent Vanhoucke
2018	J	`jnl`	The crowd as a cameraman: on-stage display of crowdsourced mobile video at large-scale events. Multim. Tools Appl. 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
2017	J	`jnl`	Decoupled Learning of Environment Characteristics for Safe Exploration. CoRR Pieter Van Molle, Tim Verbelen, Steven Bohez, Sam Leroux, Pieter Simoens, Bart Dhoedt
2017	J	`jnl`	Sensor Fusion for Robot Control through Deep Reinforcement Learning. CoRR Steven Bohez, Tim Verbelen, Elias De Coninck, Bert Vankeirsbilck, Pieter Simoens, Bart Dhoedt
2017	A	`conf`	Sensor fusion for robot control through deep reinforcement learning. IROS Steven Bohez, Tim Verbelen, Elias De Coninck, Bert Vankeirsbilck, Pieter Simoens, Bart Dhoedt
2017	J	`jnl`	The cascading neural network: building the Internet of Smart Things. Knowl. Inf. Syst. Sam Leroux, Steven Bohez, Elias De Coninck, Tim Verbelen, Bert Vankeirsbilck, Pieter Simoens, Bart Dhoedt
2017	J	`jnl`	Transfer Learning with Binary Neural Networks. CoRR Sam Leroux, Steven Bohez, Tim Verbelen, Bert Vankeirsbilck, Pieter Simoens, Bart Dhoedt
2016	J	`jnl`	Dynamic auto-scaling and scheduling of deadline constrained service workloads on IaaS clouds. J. Syst. Softw. Elias De Coninck, Tim Verbelen, Bert Vankeirsbilck, Steven Bohez, Pieter Simoens, Bart Dhoedt
2016	J	`jnl`	Efficiency Evaluation of Character-level RNN Training Schedules. CoRR Cedric De Boom, Sam Leroux, Steven Bohez, Pieter Simoens, Thomas Demeester, Bart Dhoedt
2016	J	`jnl`	Lazy Evaluation of Convolutional Filters. CoRR Sam Leroux, Steven Bohez, Cedric De Boom, Elias De Coninck, Tim Verbelen, Bert Vankeirsbilck, Pieter Simoens, Bart Dhoedt
2016	—	`conf`	Middleware Platform for Distributed Applications Incorporating Robots, Sensors and the Cloud. CloudNet Elias De Coninck, Steven Bohez, Sam Leroux, Tim Verbelen, Bert Vankeirsbilck, Bart Dhoedt, Pieter Simoens
2016	B	`conf`	Multi-fidelity matryoshka neural networks for constrained IoT devices. IJCNN Sam Leroux, Steven Bohez, Elias De Coninck, Tim Verbelen, Bert Vankeirsbilck, Pieter Simoens, Bart Dhoedt
2015	—	`conf`	Androsgi: bringing the power of OSGi to Android. ETX Steven Bohez, Elias De Coninck, Tim Verbelen, Bart Dhoedt
2015	—	`conf`	Cloudlet-based Large-scale 3D Reconstruction Using Real-time Data from Mobile Depth Cameras. MCS@MobiCom Steven Bohez, Jaron Couvreur, Bart Dhoedt, Pieter Simoens
2015	—	`conf`	DIANNE: Distributed Artificial Neural Networks for the Internet of Things. M4IoT@Middleware Elias De Coninck, Tim Verbelen, Bert Vankeirsbilck, Steven Bohez, Sam Leroux, Pieter Simoens
2015	J	`jnl`	Discrete-event simulation for efficient and stable resource allocation in collaborative mobile cloudlets. Simul. Model. Pract. Theory Steven Bohez, Tim Verbelen, Pieter Simoens, Bart Dhoedt
2015	—	`conf`	Distributed Neural Networks for Internet of Things: The Big-Little Approach. IoT 360 (2) Elias De Coninck, Tim Verbelen, Bert Vankeirsbilck, Steven Bohez, Pieter Simoens, Piet Demeester, Bart Dhoedt
2015	—	`conf`	Learning Semantic Similarity for Very Short Texts. ICDM Workshops Cedric De Boom, Steven Van Canneyt, Steven Bohez, Thomas Demeester, Bart Dhoedt
2015	J	`jnl`	Learning Semantic Similarity for Very Short Texts. CoRR Cedric De Boom, Steven Van Canneyt, Steven Bohez, Thomas Demeester, Bart Dhoedt
2015	B	`conf`	Resource-constrained classification using a cascade of neural network layers. IJCNN Sam Leroux, Steven Bohez, Tim Verbelen, Bert Vankeirsbilck, Pieter Simoens, Bart Dhoedt
2015	—	`conf`	Upstream Content Scheduling in Wi-Fi DenseNets during Large-Scale Events. GLOBECOM Workshops Glenn Daneels, Jeroen Famaey, Steven Bohez, Pieter Simoens, Steven Latré
2014	—	`conf`	Enabling component-based mobile cloud computing with the AIOLOS middleware. ARM@Middleware Steven Bohez, Elias De Coninck, Tim Verbelen, Pieter Simoens, Bart Dhoedt
2014	B	`conf`	Management of crowdsourced first-person video: street view live. MUM Steven Bohez, Jens Mostaert, Tim Verbelen, Pieter Simoens, Bart Dhoedt
2013	—	`conf`	Mobile, Collaborative Augmented Reality Using Cloudlets. MOBILWARE Steven Bohez, Joeri De Turck, Tim Verbelen, Pieter Simoens, Bart Dhoedt