4 papers
RaySt3R: Predicting Novel Depth Maps for Zero-Shot Object Completion
Bardienus P. Duisterhof, Jan Oberst, Bowen Wen +3
3D shape completion has broad applications in robotics, digital twin reconstruction, and extended reality (XR). Although recent advances in 3D object and scene completion have achi…
Towards Stateless Clients in Ethereum: Benchmarking Verkle Trees and Binary Merkle Trees with SNARKs
Jan Oberst
Ethereum, the leading platform for decentralized applications, faces challenges in maintaining decentralization due to the significant hardware requirements for validators to store…
Sliding Block (Slick) Hashing: An Implementation & Benchmarks
Jan Oberst
With hash tables being one of the most used data structures, Lehmann, Sanders and Walzer propose a novel, light-weight hash table, referred to as Slick Hash. Their idea is to hit a…
Going into Orbit: Massively Parallelizing Episodic Reinforcement Learning
Jan Oberst, Johann Bonneau
The possibilities of robot control have multiplied across various domains through the application of deep reinforcement learning. To overcome safety and sampling efficiency issues,…