Papers

• Bayesian Inferential Motion Planning Using Heavy-Tailed Distributions (2025)
  Ali Vaziri et al.
  5.42
• Limit Points of Reflow with Minibatch Optimal Transport (2026)
  Antonin Chambolle et al.
  4.81
• Sampling via Stochastic Interpolants by Langevin-based Velocity and Initialization Estimation in Flow ODEs (2026)
  Chenguang Duan et al.
  1.61
• Representative Action Selection for Large Action Space: From Bandits to MDPs (2025)
  Quan Zhou et al.
  1.50
• Free Denoising Diffusion Models (2025)
  Swagatam Das
  1.44
• Simplicity Lies in the Eye of the Beholder: A Strategic Perspective on Controllers in Reactive Synthesis (2025)
  Mickael Randour
  1.39
• Self-driving car safety quantification via component-level analysis (2020)
  Juozas Vaicenavicius and Tilo Wiklund and Aust\.e Grigait\.e and Antanas Kalkauskas and Ignas Vysniauskas and Steven Keen
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• A Bayesian-Based Approach to Human Operator Intent Recognition in Remote Mobile Robot Navigation (2021)
  Dimitris Panagopoulos et al.
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• Hierarchical Graph-Convolutional Variational AutoEncoding for Generative Modelling of Human Motion (2021)
  Anthony Bourached et al.
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• Manoeuvre detection in Low Earth Orbit with Radar Data (2022)
  Jose M. Montilla et al.
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• An introduction to optimization under uncertainty -- A short survey (2022)
  Keivan Shariatmadar et al.
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• Path Planning Problem under non-probabilistic Uncertainty (2022)
  Keivan Shariatmadar
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• Towards an architectural framework for intelligent virtual agents using probabilistic programming (2023)
  Anton Andreev (GIPSA-Services) et al.
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• Trajectories and Platoon-forming Algorithm for Intersections with Heterogeneous Autonomous Traffic (2023)
  P. C. Joshi et al.
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• Fast Collision Probability Estimation for Automated Driving using Multi-circular Shape Approximations (2024)
  Leon Tolksdorf et al.
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• A Data-driven Contact Estimation Method for Wheeled-Biped Robots (2024)
  \"U. Bora G\"okbakan (WILLOW et al.
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• Obstacle-aware Gaussian Process Regression (2024)
  Gaurav Shrivastava
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