KIT at MediaEval 2015 - Evaluating Visual Cues for Affective Impact of Movies Task. - Marin Vlastelica P.; Sergey Hayrapetyan; Makarand Tapaswi; Rainer Stiefelhagen (MediaEval, 2015)

Learning Continuous Muscle Control for a Multi-joint Arm by Extending Proximal Policy Optimization with a Liquid State Machine. - Juan Camilo Vasquez Tieck; Marin Vlastelica Pogancic; Jacques Kaiser; Arne Roennau; Marc-Oliver Gewaltig; Rüdiger Dillmann (ICANN (1), 2018)

Control What You Can: Intrinsically Motivated Task-Planning Agent. - Sebastian Blaes; Marin Vlastelica Pogancic; Jia-Jie Zhu; Georg Martius (NeurIPS, 2019)

Optimizing Rank-Based Metrics With Blackbox Differentiation. - Michal Rolínek; Vít Musil; Anselm Paulus; Marin Vlastelica P.; Claudio Michaelis; Georg Martius (CVPR, 2020)

Differentiation of Blackbox Combinatorial Solvers. - Marin Vlastelica Pogancic; Anselm Paulus; Vít Musil; Georg Martius; Michal Rolínek (ICLR, 2020)

Risk-Averse Zero-Order Trajectory Optimization. - Marin Vlastelica P.; Sebastian Blaes; Cristina Pinneri; Georg Martius (CoRL, 2021)

Neuro-algorithmic Policies Enable Fast Combinatorial Generalization. - Marin Vlastelica P.; Michal Rolínek; Georg Martius (ICML, 2021)

Learning Agile Skills via Adversarial Imitation of Rough Partial Demonstrations. - Chenhao Li; Marin Vlastelica; Sebastian Blaes; Jonas Frey; Felix Grimminger; Georg Martius (CoRL, 2022)

Gradient Backpropagation Through Combinatorial Algorithms: Identity with Projection Works. - Subham Sekhar Sahoo; Marin Vlastelica; Anselm Paulus; Vít Musil; Volodymyr Kuleshov; Georg Martius (CoRR, 2022)

Taming Continuous Posteriors for Latent Variational Dialogue Policies. - Marin Vlastelica; Patrick Ernst; Gyuri Szarvas (AAAI, 2023)

Backpropagation through Combinatorial Algorithms: Identity with Projection Works. - Subham Sekhar Sahoo; Anselm Paulus; Marin Vlastelica; Vít Musil; Volodymyr Kuleshov; Georg Martius (ICLR, 2023)

Versatile Skill Control via Self-supervised Adversarial Imitation of Unlabeled Mixed Motions. - Chenhao Li; Sebastian Blaes; Pavel Kolev; Marin Vlastelica; Jonas Frey; Georg Martius (ICRA, 2023)

Spuriosity Didn't Kill the Classifier: Using Invariant Predictions to Harness Spurious Features. - Cian Eastwood; Shashank Singh 011; Andrei Liviu Nicolicioiu; Marin Vlastelica Pogancic; Julius von Kügelgen; Bernhard Schölkopf (NeurIPS, 2023)

Diverse Offline Imitation via Fenchel Duality. - Marin Vlastelica; Pavel Kolev; Jin Cheng 002; Georg Martius (CoRR, 2023)

Diffusion Generative Inverse Design. - Marin Vlastelica; Tatiana Lopez-Guevara; Kelsey R. Allen; Peter W. Battaglia; Arnaud Doucet; Kimberly L. Stachenfeld (CoRR, 2023)

Mind the Uncertainty: Risk-Aware and Actively Exploring Model-Based Reinforcement Learning. - Marin Vlastelica; Sebastian Blaes; Cristina Pinneri; Georg Martius (CoRR, 2023)

Causal Action Influence Aware Counterfactual Data Augmentation. - Núria Armengol Urpí; Marco Bagatella; Marin Vlastelica; Georg Martius (ICML, 2024)

Learning Diverse Skills for Local Navigation under Multi-constraint Optimality. - Jin Cheng 002; Marin Vlastelica; Pavel Kolev; Chenhao Li; Georg Martius (ICRA, 2024)

Offline Diversity Maximization under Imitation Constraints. - Marin Vlastelica; Jin Cheng 002; Georg Martius; Pavel Kolev (RLJ, 2024)

Dual-Force: Enhanced Offline Diversity Maximization under Imitation Constraints. - Pavel Kolev; Marin Vlastelica; Georg Martius (CoRR, 2025)

Provable Maximum Entropy Manifold Exploration via Diffusion Models. - Riccardo De Santi; Marin Vlastelica; Ya-Ping Hsieh; Zebang Shen; Niao He; Andreas Krause 001 (CoRR, 2025)

Epistemically-guided forward-backward exploration. - Núria Armengol Urpí; Marin Vlastelica; Georg Martius; Stelian Coros (CoRR, 2025)

Divide, Discover, Deploy: Factorized Skill Learning with Symmetry and Style Priors. - Rafael Cathomen; Mayank Mittal; Marin Vlastelica; Marco Hutter 001 (CoRR, 2025)

Quagmires in SFT-RL Post-Training: When High SFT Scores Mislead and What to Use Instead. - Feiyang Kang; Michael Kuchnik; Karthik Padthe; Marin Vlastelica; Ruoxi Jia 001; Carole-Jean Wu; Newsha Ardalani (CoRR, 2025)

Optimistic Task Inference for Behavior Foundation Models. - Thomas Rupf; Marco Bagatella; Marin Vlastelica; Andreas Krause 001 (CoRR, 2025)