Longitudinal Variational Autoencoder. - Siddharth Ramchandran; Gleb Tikhonov; Kalle Kujanpää; Miika Koskinen; Harri Lähdesmäki (AISTATS, 2021)

Automating Privilege Escalation with Deep Reinforcement Learning. - Kalle Kujanpää; Willie Victor; Alexander Ilin (AISec@CCS, 2021)

Hierarchical Imitation Learning with Vector Quantized Models. - Kalle Kujanpää; Joni Pajarinen; Alexander Ilin (ICML, 2023)

Suicidal Pedestrian: Generation of Safety-Critical Scenarios for Autonomous Vehicles. - Yuhang Yang; Kalle Kujanpää; Amin Babadi; Joni Pajarinen; Alexander Ilin (ITSC, 2023)

Hybrid Search for Efficient Planning with Completeness Guarantees. - Kalle Kujanpää; Joni Pajarinen; Alexander Ilin (NeurIPS, 2023)

Continuous Monte Carlo Graph Search. - Kalle Kujanpää; Amin Babadi; Yi Zhao 014; Juho Kannala; Alexander Ilin; Joni Pajarinen (AAMAS, 2024)

Challenges of Data-Driven Simulation of Diverse and Consistent Human Driving Behaviors. - Kalle Kujanpää; Daulet Baimukashev; Shibei Zhu; Shoaib Azam; Farzeen Munir; Gokhan Alcan; Ville Kyrki (CoRR, 2024)

iQRL - Implicitly Quantized Representations for Sample-efficient Reinforcement Learning. - Aidan Scannell; Kalle Kujanpää; Yi Zhao 014; Mohammadreza Nakhaei; Arno Solin; Joni Pajarinen (CoRR, 2024)

Knowledge Injection via Prompt Distillation. - Kalle Kujanpää; Harri Valpola; Alexander Ilin (CoRR, 2024)

Discrete Codebook World Models for Continuous Control. - Aidan Scannell; Mohammadreza Nakhaeinezhadfard; Kalle Kujanpää; Yi Zhao 014; Kevin Sebastian Luck; Arno Solin; Joni Pajarinen (ICLR, 2025)

Efficient Knowledge Injection in LLMs via Self-Distillation. - Kalle Kujanpää; Pekka Marttinen; Harri Valpola; Alexander Ilin (Trans. Mach. Learn. Res., 2025)

Discrete Contrastive Learning for Diffusion Policies in Autonomous Driving. - Kalle Kujanpää; Daulet Baimukashev; Farzeen Munir; Shoaib Azam; Tomasz Piotr Kucner; Joni Pajarinen; Ville Kyrki (CoRR, 2025)