Systematic Alias Sampling: an efficient and low-variance way to sample from a discrete distribution
Fuente:
arXiv
Enregistré dans:
| Auteurs principaux: | Vallivaara, Ilari, Poikselkä, Katja, Rikula, Pauli, Röning, Juha |
|---|---|
| Format: | Preprint |
| Publié: |
2025
|
| Sujets: | |
| Accès en ligne: | |
| Tags: |
Ajouter un tag
Pas de tags, Soyez le premier à ajouter un tag!
|
Documents similaires
Comparative analysis of graph randomization: Tools,methods, pitfalls, and best practices
par: De Clerck, Bart, et autres
Publié: (2024)
par: De Clerck, Bart, et autres
Publié: (2024)
PhAIL: A Real-Robot VLA Benchmark and Distributional Methodology
par: Arkhangelskiy, Sergey
Publié: (2026)
par: Arkhangelskiy, Sergey
Publié: (2026)
Modeling Considerations for Developing Deep Space Autonomous Spacecraft and Simulators
par: Agia, Christopher, et autres
Publié: (2024)
par: Agia, Christopher, et autres
Publié: (2024)
Bridging Scales: a Hybrid Model to Simulate Vascular Tumor Growth and Treatment Response
par: Duswald, Tobias, et autres
Publié: (2023)
par: Duswald, Tobias, et autres
Publié: (2023)
Actor-Critic Model Predictive Control: Differentiable Optimization meets Reinforcement Learning for Agile Flight
par: Romero, Angel, et autres
Publié: (2023)
par: Romero, Angel, et autres
Publié: (2023)
Ancestry Tree Clustering for Particle Filter Diversity Maintenance
par: Vallivaara, Ilari, et autres
Publié: (2025)
par: Vallivaara, Ilari, et autres
Publié: (2025)
Like Playing a Video Game: Spatial-Temporal Optimization of Foot Trajectories for Controlled Football Kicking in Bipedal Robots
par: Li, Wanyue, et autres
Publié: (2025)
par: Li, Wanyue, et autres
Publié: (2025)
Electricity Demand Forecasting in Future Grid States: A Digital Twin-Based Simulation Study
par: Bayer, Daniel R., et autres
Publié: (2025)
par: Bayer, Daniel R., et autres
Publié: (2025)
CART-ELC: Oblique Decision Tree Induction via Exhaustive Search
par: Laack, Andrew D.
Publié: (2025)
par: Laack, Andrew D.
Publié: (2025)
Differentiable Simulation of Hard Contacts with Soft Gradients for Learning and Control
par: Paulus, Anselm, et autres
Publié: (2025)
par: Paulus, Anselm, et autres
Publié: (2025)
Chance-Constrained MPPI under State and Dynamic Object Prediction Uncertainty and the Evaluation of Collision Risk Calibration
par: Serfling, Benjamin, et autres
Publié: (2026)
par: Serfling, Benjamin, et autres
Publié: (2026)
Evaluating Temporal Observation-Based Causal Discovery Techniques Applied to Road Driver Behaviour
par: Howard, Rhys, et autres
Publié: (2023)
par: Howard, Rhys, et autres
Publié: (2023)
Phase-based Nonlinear Model Predictive Control for Humanoid Walking Stabilization with Single and Double Support Time Adjustments
par: Lee, Kwanwoo, et autres
Publié: (2025)
par: Lee, Kwanwoo, et autres
Publié: (2025)
Generating and Explaining Corner Cases Using Learnt Probabilistic Lane Graphs
par: Maci, Enrik, et autres
Publié: (2023)
par: Maci, Enrik, et autres
Publié: (2023)
Dual-Step Optimization for Binary Sequences with High Merit Factors
par: Pšeničnik, Blaž, et autres
Publié: (2024)
par: Pšeničnik, Blaž, et autres
Publié: (2024)
Reliability of Single-Level Equality-Constrained Inverse Optimal Control
par: Bečanović, Filip, et autres
Publié: (2025)
par: Bečanović, Filip, et autres
Publié: (2025)
Decentralized Nonlinear Model Predictive Control-Based Flock Navigation with Real-Time Obstacle Avoidance in Unknown Obstructed Environments
par: Gerdpratoom, Nuthasith, et autres
Publié: (2025)
par: Gerdpratoom, Nuthasith, et autres
Publié: (2025)
Lagrangian Phase-Lag and Geometric Precedence in Turbulent Vortex Stretching
par: Saqr, Khalid
Publié: (2026)
par: Saqr, Khalid
Publié: (2026)
Discovering Antagonists in Networks of Systems: Robot Deployment
par: Wenger, Ingeborg, et autres
Publié: (2025)
par: Wenger, Ingeborg, et autres
Publié: (2025)
Towards Systematic Generalization for Power Grid Optimization Problems
par: Memon, Zeeshan, et autres
Publié: (2026)
par: Memon, Zeeshan, et autres
Publié: (2026)
COBRA-PPM: A Causal Bayesian Reasoning Architecture Using Probabilistic Programming for Robot Manipulation Under Uncertainty
par: Cannizzaro, Ricardo, et autres
Publié: (2024)
par: Cannizzaro, Ricardo, et autres
Publié: (2024)
Saying goodbyes to rotating your phone: Magnetometer calibration during SLAM
par: Vallivaara, Ilari, et autres
Publié: (2024)
par: Vallivaara, Ilari, et autres
Publié: (2024)
Can Large Language Models Implement Agent-Based Models? An ODD-based Replication Study
par: Fachada, Nuno, et autres
Publié: (2026)
par: Fachada, Nuno, et autres
Publié: (2026)
Model bias identification for Bayesian calibration of stochastic digital twins of bridges
par: Arcones, Daniel Andrés, et autres
Publié: (2023)
par: Arcones, Daniel Andrés, et autres
Publié: (2023)
CaMeRL: Collision-Aware and Memory-Enhanced Reinforcement Learning for UAV Navigation in Multi-Scale Obstacle Environments
par: Hong, Hong, et autres
Publié: (2026)
par: Hong, Hong, et autres
Publié: (2026)
Preventing Robotic Jailbreaking via Multimodal Domain Adaptation
par: Marchiori, Francesco, et autres
Publié: (2025)
par: Marchiori, Francesco, et autres
Publié: (2025)
DRAE: Dynamic Retrieval-Augmented Expert Networks for Lifelong Learning and Task Adaptation in Robotics
par: Long, Yayu, et autres
Publié: (2025)
par: Long, Yayu, et autres
Publié: (2025)
Magnet-Based Soft Robotic Skin Using a 3D-Printed Multi-Lattice Structure and CNN-Based Tactile Super-Resolution
par: Bang, Yunseong, et autres
Publié: (2026)
par: Bang, Yunseong, et autres
Publié: (2026)
Affordance-Aware Interactive Decision-Making and Execution for Ambiguous Instructions
par: Xu, Hengxuan, et autres
Publié: (2026)
par: Xu, Hengxuan, et autres
Publié: (2026)
ScoRe-Flow: Complete Distributional Control via Score-Based Reinforcement Learning for Flow Matching
par: Qiu, Xiaotian, et autres
Publié: (2026)
par: Qiu, Xiaotian, et autres
Publié: (2026)
Wakefield Acceleration in a Layered Plasma Waveguide
par: Sotnikov, G. V., et autres
Publié: (2026)
par: Sotnikov, G. V., et autres
Publié: (2026)
An Idiosyncrasy of Time-discretization in Reinforcement Learning
par: De Asis, Kris, et autres
Publié: (2024)
par: De Asis, Kris, et autres
Publié: (2024)
Sim-to-reality adaptation for Deep Reinforcement Learning applied to an underwater docking application
par: Chaarani, Alaaeddine, et autres
Publié: (2026)
par: Chaarani, Alaaeddine, et autres
Publié: (2026)
Newtonian and Lagrangian Neural Networks: A Comparison Towards Efficient Inverse Dynamics Identification
par: Trinh, Minh, et autres
Publié: (2025)
par: Trinh, Minh, et autres
Publié: (2025)
Simulation-Based Counterfactual Causal Discovery on Real World Driver Behaviour
par: Howard, Rhys, et autres
Publié: (2023)
par: Howard, Rhys, et autres
Publié: (2023)
Adaptive Candidate Point Thompson Sampling for High-Dimensional Bayesian Optimization
par: Fan, Donney, et autres
Publié: (2026)
par: Fan, Donney, et autres
Publié: (2026)
Dream to Fly: Model-Based Reinforcement Learning for Vision-Based Drone Flight
par: Romero, Angel, et autres
Publié: (2025)
par: Romero, Angel, et autres
Publié: (2025)
WayFASTER: a Self-Supervised Traversability Prediction for Increased Navigation Awareness
par: Gasparino, Mateus Valverde, et autres
Publié: (2024)
par: Gasparino, Mateus Valverde, et autres
Publié: (2024)
Selective Progress-Aware Querying for Human-in-the-Loop Reinforcement Learning
par: Muraleedharan, Anujith, et autres
Publié: (2025)
par: Muraleedharan, Anujith, et autres
Publié: (2025)
Imitation learning for sim-to-real transfer of robotic cutting policies based on residual Gaussian process disturbance force model
par: Hathaway, Jamie, et autres
Publié: (2023)
par: Hathaway, Jamie, et autres
Publié: (2023)
Documents similaires
-
Comparative analysis of graph randomization: Tools,methods, pitfalls, and best practices
par: De Clerck, Bart, et autres
Publié: (2024) -
PhAIL: A Real-Robot VLA Benchmark and Distributional Methodology
par: Arkhangelskiy, Sergey
Publié: (2026) -
Modeling Considerations for Developing Deep Space Autonomous Spacecraft and Simulators
par: Agia, Christopher, et autres
Publié: (2024) -
Bridging Scales: a Hybrid Model to Simulate Vascular Tumor Growth and Treatment Response
par: Duswald, Tobias, et autres
Publié: (2023) -
Actor-Critic Model Predictive Control: Differentiable Optimization meets Reinforcement Learning for Agile Flight
par: Romero, Angel, et autres
Publié: (2023)