Mobile, Collaborative Augmented Reality Using Cloudlets. - Steven Bohez; Joeri De Turck; Tim Verbelen; Pieter Simoens; Bart Dhoedt (MOBILWARE, 2013)

Enabling component-based mobile cloud computing with the AIOLOS middleware. - Steven Bohez; Elias De Coninck; Tim Verbelen; Pieter Simoens; Bart Dhoedt (ARM@Middleware, 2014)

Management of crowdsourced first-person video: street view live. - Steven Bohez; Jens Mostaert; Tim Verbelen; Pieter Simoens; Bart Dhoedt (MUM, 2014)

Androsgi: bringing the power of OSGi to Android. - Steven Bohez; Elias De Coninck; Tim Verbelen; Bart Dhoedt (ETX, 2015)

Upstream Content Scheduling in Wi-Fi DenseNets during Large-Scale Events. - Glenn Daneels; Jeroen Famaey; Steven Bohez; Pieter Simoens; Steven Latré (GLOBECOM Workshops, 2015)

Learning Semantic Similarity for Very Short Texts. - Cedric De Boom; Steven Van Canneyt; Steven Bohez; Thomas Demeester; Bart Dhoedt (ICDM Workshops, 2015)

Resource-constrained classification using a cascade of neural network layers. - Sam Leroux; Steven Bohez; Tim Verbelen; Bert Vankeirsbilck; Pieter Simoens; Bart Dhoedt (IJCNN, 2015)

Distributed Neural Networks for Internet of Things: The Big-Little Approach. - Elias De Coninck; Tim Verbelen; Bert Vankeirsbilck; Steven Bohez; Pieter Simoens; Piet Demeester; Bart Dhoedt (IoT 360 (2), 2015)

DIANNE: Distributed Artificial Neural Networks for the Internet of Things. - Elias De Coninck; Tim Verbelen; Bert Vankeirsbilck; Steven Bohez; Sam Leroux; Pieter Simoens (M4IoT@Middleware, 2015)

Cloudlet-based Large-scale 3D Reconstruction Using Real-time Data from Mobile Depth Cameras. - Steven Bohez; Jaron Couvreur; Bart Dhoedt; Pieter Simoens (MCS@MobiCom, 2015)

Discrete-event simulation for efficient and stable resource allocation in collaborative mobile cloudlets. - Steven Bohez; Tim Verbelen; Pieter Simoens; Bart Dhoedt (Simul. Model. Pract. Theory, 2015)

Middleware Platform for Distributed Applications Incorporating Robots, Sensors and the Cloud. - Elias De Coninck; Steven Bohez; Sam Leroux; Tim Verbelen; Bert Vankeirsbilck; Bart Dhoedt; Pieter Simoens (CloudNet, 2016)

Multi-fidelity matryoshka neural networks for constrained IoT devices. - Sam Leroux; Steven Bohez; Elias De Coninck; Tim Verbelen; Bert Vankeirsbilck; Pieter Simoens; Bart Dhoedt (IJCNN, 2016)

Efficiency Evaluation of Character-level RNN Training Schedules. - Cedric De Boom; Sam Leroux; Steven Bohez; Pieter Simoens; Thomas Demeester; Bart Dhoedt (CoRR, 2016)

Lazy Evaluation of Convolutional Filters. - Sam Leroux; Steven Bohez; Cedric De Boom; Elias De Coninck; Tim Verbelen; Bert Vankeirsbilck; Pieter Simoens; Bart Dhoedt (CoRR, 2016)

Dynamic auto-scaling and scheduling of deadline constrained service workloads on IaaS clouds. - Elias De Coninck; Tim Verbelen; Bert Vankeirsbilck; Steven Bohez; Pieter Simoens; Bart Dhoedt (J. Syst. Softw., 2016)

Sensor fusion for robot control through deep reinforcement learning. - Steven Bohez; Tim Verbelen; Elias De Coninck; Bert Vankeirsbilck; Pieter Simoens; Bart Dhoedt (IROS, 2017)

Decoupled Learning of Environment Characteristics for Safe Exploration. - Pieter Van Molle; Tim Verbelen; Steven Bohez; Sam Leroux; Pieter Simoens; Bart Dhoedt (CoRR, 2017)

Transfer Learning with Binary Neural Networks. - Sam Leroux; Steven Bohez; Tim Verbelen; Bert Vankeirsbilck; Pieter Simoens; Bart Dhoedt (CoRR, 2017)

The cascading neural network: building the Internet of Smart Things. - Sam Leroux; Steven Bohez; Elias De Coninck; Tim Verbelen; Bert Vankeirsbilck; Pieter Simoens; Bart Dhoedt (Knowl. Inf. Syst., 2017)

Fingerprinting encrypted network traffic types using machine learning. - Sam Leroux; Steven Bohez; Pieter-Jan Maenhaut; Nathan Meheus; Pieter Simoens; Bart Dhoedt (NOMS, 2018)

Sim-to-Real: Learning Agile Locomotion For Quadruped Robots. - Jie Tan 001; Tingnan Zhang; Erwin Coumans; Atil Iscen; Yunfei Bai; Danijar Hafner; Steven Bohez; Vincent Vanhoucke (Robotics: Science and Systems, 2018)

Relative Entropy Regularized Policy Iteration. - Abbas Abdolmaleki; Jost Tobias Springenberg; Jonas Degrave; Steven Bohez; Yuval Tassa; Dan Belov; Nicolas Heess; Martin A. Riedmiller (CoRR, 2018)

DIANNE: a modular framework for designing, training and deploying deep neural networks on heterogeneous distributed infrastructure. - Elias De Coninck; Steven Bohez; Sam Leroux; Tim Verbelen; Bert Vankeirsbilck; Pieter Simoens; Bart Dhoedt (J. Syst. Softw., 2018)

The crowd as a cameraman: on-stage display of crowdsourced mobile video at large-scale events. - 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 (Multim. Tools Appl., 2018)

Value constrained model-free continuous control. - Steven Bohez; Abbas Abdolmaleki; Michael Neunert; Jonas Buchli; Nicolas Heess; Raia Hadsell (CoRR, 2019)

Multi-fidelity deep neural networks for adaptive inference in the internet of multimedia things. - Sam Leroux; Steven Bohez; Elias De Coninck; Pieter Van Molle; Bert Vankeirsbilck; Tim Verbelen; Pieter Simoens; Bart Dhoedt (Future Gener. Comput. Syst., 2019)

dm_control: Software and tasks for continuous control. - Saran Tunyasuvunakool; Alistair Muldal; Yotam Doron; Siqi Liu 002; Steven Bohez; Josh Merel; Tom Erez; Timothy P. Lillicrap; Nicolas Heess; Yuval Tassa (Softw. Impacts, 2020)

A Constrained Multi-Objective Reinforcement Learning Framework. - 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 (CoRL, 2021)

Forgetting and Imbalance in Robot Lifelong Learning with Off-policy Data. - Wenxuan Zhou; Steven Bohez; Jan Humplik; Nicolas Heess; Abbas Abdolmaleki; Dushyant Rao; Markus Wulfmeier; Tuomas Haarnoja (CoLLAs, 2022)

Learning Coordinated Terrain-Adaptive Locomotion by Imitating a Centroidal Dynamics Planner. - Philémon Brakel; Steven Bohez; Leonard Hasenclever; Nicolas Heess; Konstantinos Bousmalis (IROS, 2022)

Imitate and Repurpose: Learning Reusable Robot Movement Skills From Human and Animal Behaviors. - Steven Bohez; Saran Tunyasuvunakool; Philemon Brakel; Fereshteh Sadeghi; Leonard Hasenclever; Yuval Tassa; Emilio Parisotto; Jan Humplik; Tuomas Haarnoja; Roland Hafner; Markus Wulfmeier; Michael Neunert; et al. (CoRR, 2022)

Offline Distillation for Robot Lifelong Learning with Imbalanced Experience. - Wenxuan Zhou; Steven Bohez; Jan Humplik; Abbas Abdolmaleki; Dushyant Rao; Markus Wulfmeier; Tuomas Haarnoja; Nicolas Heess (CoRR, 2022)

NeRF2Real: Sim2real Transfer of Vision-guided Bipedal Motion Skills using Neural Radiance Fields. - Arunkumar Byravan; Jan Humplik; Leonard Hasenclever; Arthur Brussee; Francesco Nori; Tuomas Haarnoja; Ben Moran; Steven Bohez; Fereshteh Sadeghi; Bojan Vujatovic; Nicolas Heess (ICRA, 2023)

Barkour: Benchmarking Animal-level Agility with Quadruped Robots. - Ken Caluwaerts; Atil Iscen; J. Chase Kew; Wenhao Yu 003; Tingnan Zhang; Daniel Freeman; Kuang-Huei Lee; Lisa Lee; Stefano Saliceti; Vincent Zhuang; Nathan Batchelor; Steven Bohez; et al. (CoRR, 2023)

The Design of the Barkour Benchmark for Robot Agility. - Wenhao Yu 003; Ken Caluwaerts; Atil Iscen; J. Chase Kew; Tingnan Zhang; Daniel Freeman; Lisa Lee; Stefano Saliceti; Vincent Zhuang; Nathan Batchelor; Steven Bohez; Federico Casarini; et al. (IROS, 2024)

Proc4Gem: Foundation models for physical agency through procedural generation. - 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; et al. (CoRR, 2025)

Gemini Robotics: Bringing AI into the Physical World. - Gemini Robotics Team; Saminda Abeyruwan; Joshua Ainslie; Jean-Baptiste Alayrac; Montserrat Gonzalez Arenas; Travis Armstrong; Ashwin Balakrishna; Robert Baruch; Maria Bauzá 001; Michiel Blokzijl; Steven Bohez; Konstantinos Bousmalis; et al. (CoRR, 2025)

Splatting Physical Scenes: End-to-End Real-to-Sim from Imperfect Robot Data. - Ben Moran; Mauro Comi; Arunkumar Byravan; Steven Bohez; Tom Erez; Zhibin Li; Leonard Hasenclever (CoRR, 2025)

Motion Tracking with Muscles: Predictive Control of a Parametric Musculoskeletal Canine Model. - Vittorio La Barbera; Steven Bohez; Leonard Hasenclever; Yuval Tassa; John R. Hutchinson (CoRR, 2025)