Dirichlet Eigenvalues, Local Random Walks, and Analyzing Clusters in Graphs. - Pavel Kolev; He Sun 001 (ISAAC, 2014)

Faster Spectral Sparsification of Laplacian and SDDM Matrix Polynomials. - Gorav Jindal; Pavel Kolev (CoRR, 2015)

A Note On Spectral Clustering. - Pavel Kolev; Kurt Mehlhorn (ESA, 2016)

Density Independent Algorithms for Sparsifying k-Step Random Walks. - Gorav Jindal; Pavel Kolev; Richard Peng; Saurabh Sawlani (APPROX-RANDOM, 2017)

Approximation Algorithms for l0-Low Rank Approximation. - Karl Bringmann; Pavel Kolev; David P. Woodruff (NIPS, 2017)

Approximation Algorithms for ࡁ0-Low Rank Approximation. - Karl Bringmann; Pavel Kolev; David P. Woodruff (CoRR, 2017)

A PTAS for 𝓁p-Low Rank Approximation. - Frank Ban; Vijay Bhattiprolu; Karl Bringmann; Pavel Kolev; Euiwoong Lee; David P. Woodruff (CoRR, 2018)

Algorithmic Results for Clustering and Refined Physarum Analysis. - Pavel Kolev (2018)

A PTAS for ℓp-Low Rank Approximation. - Frank Ban; Vijay Bhattiprolu; Karl Bringmann; Pavel Kolev; Euiwoong Lee; David P. Woodruff (SODA, 2019)

Two results on slime mold computations. - Ruben Becker; Vincenzo Bonifaci; Andreas Karrenbauer; Pavel Kolev; Kurt Mehlhorn (Theor. Comput. Sci., 2019)

Physarum Multi-Commodity Flow Dynamics. - Vincenzo Bonifaci; Enrico Facca; Frederic Folz; Andreas Karrenbauer; Pavel Kolev; Kurt Mehlhorn; Giovanna Morigi; Golnoosh Shahkarami; Quentin Vermande (CoRR, 2020)

Convergence of the non-uniform directed Physarum model. - Enrico Facca; Andreas Karrenbauer; Pavel Kolev; Kurt Mehlhorn (Theor. Comput. Sci., 2020)

Convergence of the non-uniform Physarum dynamics. - Andreas Karrenbauer; Pavel Kolev; Kurt Mehlhorn (Theor. Comput. Sci., 2020)

Real Robot Challenge 2022: Learning Dexterous Manipulation from Offline Data in the Real World. - Nico Gürtler; Felix Widmaier; Cansu Sancaktar; Sebastian Blaes; Pavel Kolev; Stefan Bauer; Manuel Wüthrich; Markus Wulfmeier; Martin A. Riedmiller; Arthur Allshire; Qiang Wang; Robert McCarthy; et al. (NeurIPS (Competition and Demos), 2021)

Physarum-inspired multi-commodity flow dynamics. - Vincenzo Bonifaci; Enrico Facca; Frederic Folz; Andreas Karrenbauer; Pavel Kolev; Kurt Mehlhorn; Giovanna Morigi; Golnoosh Shahkarami; Quentin Vermande (Theor. Comput. Sci., 2022)

Benchmarking Offline Reinforcement Learning on Real-Robot Hardware. - Nico Gürtler; Sebastian Blaes; Pavel Kolev; Felix Widmaier; Manuel Wuthrich; Stefan Bauer; Bernhard Schölkopf; 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)

Online Learning under Adversarial Nonlinear Constraints. - Pavel Kolev; Georg Martius; Michael Muehlebach (NeurIPS, 2023)

On Imitation in Mean-field Games. - Giorgia Ramponi; Pavel Kolev; Olivier Pietquin; Niao He; Mathieu Laurière; Matthieu Geist (NeurIPS, 2023)

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

Secretary and online matching problems with machine learned advice. - Antonios Antoniadis 001; Themis Gouleakis; Pieter Kleer; Pavel Kolev (Discret. Optim., 2023)

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)

SENSEI: Semantic Exploration Guided by Foundation Models to Learn Versatile World Models. - Cansu Sancaktar; Christian Gumbsch; Andrii Zadaianchuk; Pavel Kolev; Georg Martius (CoRR, 2025)