Biomass-based clean technologies for sustainable development : sustainable resources of energy production and utilization

Veröffentlicht 2024

Sample-Efficient Safe Learning for Online Nonlinear Control with Control Barrier Functions

von Luo, Wenhao
Veröffentlicht in International Workshop on the Algorithmic Foundations of Robotics (15. : 2022 : College Park) Algorithmic foundations of robotics XV (2023)

MULTI-ROBOT COLLISION AVOIDANCE UNDER UNCERTAINTY WITH PROBABILISTIC SAFETY BARRIER CERTIFICATES

von Luo, Wenhao
Veröffentlicht in NeurIPS (34. : 2020 : Online) 34th Conference on Neural Information Processing Systems (NeurIPS 2020) ; Volume 1 of 27 (2021)

Learning Modular Simulations for Homogeneous Systems

von Gupta, Jayesh
Veröffentlicht in NeurIPS (36. : 2022 : New Orleans, La.; Online) 36th Conference on Neural Information Processing Systems (NeurIPS 2022 ; Volume 20 of 50 (2023)

Representation Learning for Event-based Visuomotor Policies

von Vemprala, Sai
Veröffentlicht in NeurIPS (35. : 2021 : Online) 35th Conference on Neural Information Processing Systems (NeurIPS 2021) ; Volume 6 of 36 (2022)

CHARACTERIZING BIAS IN CLASSIFIERS USING GENERATIVE MODELS

von McDuff, Daniel
Veröffentlicht in NeurIPS (33. : 2019 : Vancouver, British Columbia) 32nd Conference on Neural Information Processing Systems (NeurIPS 2019) ; Volume 7 of 20 (2020)

DO ADVERSARIALLY ROBUST IMAGENET MODELS TRANSFER BETTER?

von Salman, Hadi
Veröffentlicht in NeurIPS (34. : 2020 : Online) 34th Conference on Neural Information Processing Systems (NeurIPS 2020) ; Volume 5 of 27 (2021)

Explorations and Lessons Learned in Building an Autonomous Formula SAE Car from Simulations

von Zadok, Dean
Veröffentlicht in SIMULTECH (9. : 2019 : Prag) SIMULTECH 2019 (2019)

DENOISED SMOOTHING: A PROVABLE DEFENSE FOR PRETRAINED CLASSIFIERS

von Salman, Hadi
Veröffentlicht in NeurIPS (34. : 2020 : Online) 34th Conference on Neural Information Processing Systems (NeurIPS 2020) ; Volume 27 of 27 (2021)

QUANTUM ALGORITHMS FOR REINFORCEMENT LEARNING WITH A GENERATIVE MODEL

von WANG, DAOCHEN
Veröffentlicht in International Conference on Machine Learning (38. : 2021 : Online) International Conference on Machine Learning (ICML 2021 ; Part 14 of 16 (2022)

Unadversarial Examples: Designing Objects for Robust Vision

von Salman, Hadi
Veröffentlicht in NeurIPS (35. : 2021 : Online) 35th Conference on Neural Information Processing Systems (NeurIPS 2021) ; Volume 19 of 36 (2022)

BIAS CORRECTION OF LEARNED GENERATIVE MODELS USING LIKELIHOOD-FREE IMPORTANCE WEIGHTING

von Grover, Aditya
Veröffentlicht in NeurIPS (33. : 2019 : Vancouver, British Columbia) 32nd Conference on Neural Information Processing Systems (NeurIPS 2019) ; Volume 14 of 20 (2020)

050001 Three dimensional computational studies on steady-state flow field around a microsphere under laminar flow

von Balasubramanian, Sivasamy
Veröffentlicht in International Conference on Mathematical Techniques and Applications (1. : 2020 : Chennai) 1st International Conference on Mathematical Techniques and Applications (2020)

3DB: A Framework for Debugging Computer Vision Models

von Leclerc, Guillaume
Veröffentlicht in NeurIPS (36. : 2022 : New Orleans, La.; Online) 36th Conference on Neural Information Processing Systems (NeurIPS 2022 ; Volume 12 of 50 (2023)

THE ACTIVITY PLATFORM

von Wang, Helen J.
Veröffentlicht in Workshop on Hot Topics in Operating Systems (15. : 2015 : Warth-Weiningen) 15th Workshop on Hot Topics in Operating Systems (HotOS XV) (2020)