Recurrent Ladder Networks. - Isabeau Prémont-Schwarz; Alexander Ilin; Tele Hao; Antti Rasmus; Rinu Boney; Harri Valpola (NIPS, 2017)

Semi-Supervised Few-Shot Learning with Prototypical Networks. - Rinu Boney; Alexander Ilin (CoRR, 2017)

Semi-Supervised Few-Shot Learning with MAML. - Rinu Boney; Alexander Ilin (ICLR (Workshop), 2018)

Regularizing Model-Based Planning with Energy-Based Models. - Rinu Boney; Juho Kannala; Alexander Ilin (CoRL, 2019)

Active one-shot learning with Prototypical Networks. - Rinu Boney; Alexander Ilin (ESANN, 2019)

Regularizing Trajectory Optimization with Denoising Autoencoders. - Rinu Boney; Norman Di Palo; Mathias Berglund; Alexander Ilin; Juho Kannala; Antti Rasmus; Harri Valpola (NeurIPS, 2019)

Learning to Drive Small Scale Cars from Scratch. - Ari Viitala; Rinu Boney; Juho Kannala (CoRR, 2020)

RealAnt: An Open-Source Low-Cost Quadruped for Research in Real-World Reinforcement Learning. - Rinu Boney; Jussi Sainio; Mikko Kaivola; Arno Solin; Juho Kannala (CoRR, 2020)

Learning to Drive (L2D) as a Low-Cost Benchmark for Real-World Reinforcement Learning. - Ari Viitala; Rinu Boney; Yi Zhao 014; Alexander Ilin; Juho Kannala (ICAR, 2021)

End-to-End Learning of Keypoint Representations for Continuous Control from Images. - Rinu Boney; Alexander Ilin; Juho Kannala (CoRR, 2021)

Adaptive Behavior Cloning Regularization for Stable Offline-to-Online Reinforcement Learning. - Yi Zhao 014; Rinu Boney; Alexander Ilin; Juho Kannala; Joni Pajarinen (ESANN, 2022)

Learning to Play Imperfect-Information Games by Imitating an Oracle Planner. - Rinu Boney; Alexander Ilin; Juho Kannala; Jarno Seppänen (IEEE Trans. Games, 2022)

Simplified Temporal Consistency Reinforcement Learning. - Yi Zhao 014; Wenshuai Zhao; Rinu Boney; Juho Kannala; Joni Pajarinen (ICML, 2023)

SACPlanner: Real-World Collision Avoidance with a Soft Actor Critic Local Planner and Polar State Representations. - Khaled Nakhleh; Minahil Raza; Mack Tang; Matthew Andrews; Rinu Boney; Ilija Hadzic; Jeongran Lee; Atefeh Mohajeri; Karina Palyutina (ICRA, 2023)

Understanding Alignment in Multimodal LLMs: A Comprehensive Study. - Elmira Amirloo; Jean-Philippe Fauconnier; Christoph Roesmann; Christian Kerl; Rinu Boney; Yusu Qian; Zirui Wang; Afshin Dehghan; Yinfei Yang; Zhe Gan; Peter Grasch (CoRR, 2024)