Kavli Affiliate: Zheng Zhu | First 5 Authors: Yanqing Liu, Jianyang Gu, Kai Wang, Zheng Zhu, Kaipeng Zhang | Summary: Dataset distillation plays a crucial role in creating compact datasets with similar training performance compared with original large-scale ones. This is essential for addressing the challenges of data storage and training costs. Prevalent methods facilitate […]
Kavli Affiliate: Sara Seager | First 5 Authors: Amaury H. M. J. Triaud, Julien de Wit, Frieder Klein, Martin Turbet, Benjamin V. Rackham | Summary: The conventional observables to identify a habitable or inhabited environment in exoplanets, such as an ocean glint or abundant atmospheric O$_2$, will be challenging to detect with present or upcoming […]
Kavli Affiliate: Sara Seager | First 5 Authors: Amaury H. M. J. Triaud, Julien de Wit, Frieder Klein, Martin Turbet, Benjamin V. Rackham | Summary: The conventional observables to identify a habitable or inhabited environment in exoplanets, such as an ocean glint or abundant atmospheric O$_2$, will be challenging to detect with present or upcoming […]
Kavli Affiliate: Zhuo Li | First 5 Authors: Mouxiang Chen, Lefei Shen, Han Fu, Zhuo Li, Jianling Sun | Summary: Recent years have witnessed the success of introducing deep learning models to time series forecasting. From a data generation perspective, we illustrate that existing models are susceptible to distribution shifts driven by temporal contexts, whether […]
Kavli Affiliate: Zhuo Li | First 5 Authors: Mouxiang Chen, Lefei Shen, Han Fu, Zhuo Li, Jianling Sun | Summary: Recent years have witnessed the success of introducing deep learning models to time series forecasting. From a data generation perspective, we illustrate that existing models are susceptible to distribution shifts driven by temporal contexts, whether […]
Kavli Affiliate: Zhuo Li | First 5 Authors: Mouxiang Chen, Lefei Shen, Han Fu, Zhuo Li, Jianling Sun | Summary: Recent years have witnessed the success of introducing Transformers to time series forecasting. From a data generation perspective, we illustrate that existing Transformers are susceptible to distribution shifts driven by temporal contexts, whether observed or […]
Kavli Affiliate: Zhuo Li | First 5 Authors: Mouxiang Chen, Lefei Shen, Han Fu, Zhuo Li, Jianling Sun | Summary: Recent years have witnessed the success of introducing Transformers to time series forecasting. From a data generation perspective, we illustrate that existing Transformers are susceptible to distribution shifts driven by temporal contexts, whether observed or […]
Kavli Affiliate: Frank Wilczek | First 5 Authors: Xianjue Zhao, Peiyun Ge, Hongye Yu, Li You, Frank Wilczek | Summary: With qubits encoded into atomic ground and Rydberg states and situated on the vertexes of a graph, the conditional quantum dynamics of Rydberg blockade, which inhibits simultaneous excitation of nearby atoms, has been employed recently […]
Kavli Affiliate: Frank Wilczek | First 5 Authors: Xianjue Zhao, Peiyun Ge, Hongye Yu, Li You, Frank Wilczek | Summary: We compare two quantum Hamiltonian algorithms that address the maximum independent set problem: one based on emergent non-abelian gauge matrix in adiabatic evolution of an energetically isolated manifold of states; and one based on designed […]
Kavli Affiliate: Frank Wilczek | First 5 Authors: Xianjue Zhao, Peiyun Ge, Hongye Yu, Li You, Frank Wilczek | Summary: We compare two quantum Hamiltonian algorithms that address the maximum independent set problem: one based on emergent non-abelian gauge matrix in adiabatic evolution of an energetically isolated manifold of states; and one based on designed […]