Emergence of the Temperature-Density Relation in the Low-Density Intergalactic Medium

Kavli Affiliate: Nickolay Y. Gnedin | First 5 Authors: Alexandra Wells, David Robinson, Camille Avestruz, Nickolay Y. Gnedin, | Summary: We examine the evolution of the phase diagram of the low-density intergalactic medium during the Epoch of Reionization in simulation boxes with varying reionization histories from the Cosmic Reionization on Computers project. The PDF of […]


Continue.. Emergence of the Temperature-Density Relation in the Low-Density Intergalactic Medium

Separated twins or just siblings? A multi-planet system around an M dwarf including a cool sub-Neptune

Kavli Affiliate: Roland Vanderspek | First 5 Authors: Mallory Harris, Diana Dragomir, Ismael Mireles, Karen A. Collins, Solène Ulmer-Moll | Summary: We report the discovery of two TESS sub-Neptunes orbiting the early M dwarf TOI-904 (TIC 261257684). Both exoplanets, TOI-904 b and c, were initially observed in TESS sector 12 with twin sizes of 2.49R$_oplus$ […]


Continue.. Separated twins or just siblings? A multi-planet system around an M dwarf including a cool sub-Neptune

Atmospheric carbon depletion as a tracer of water oceans and biomass on temperate terrestrial exoplanets

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 […]


Continue.. Atmospheric carbon depletion as a tracer of water oceans and biomass on temperate terrestrial exoplanets

Atmospheric carbon depletion as a tracer of water oceans and biomass on temperate terrestrial exoplanets

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 […]


Continue.. Atmospheric carbon depletion as a tracer of water oceans and biomass on temperate terrestrial exoplanets

Calibration of Time-Series Forecasting Transformers: Detecting and Adapting Context-Driven Distribution Shift

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 […]


Continue.. Calibration of Time-Series Forecasting Transformers: Detecting and Adapting Context-Driven Distribution Shift

Calibration of Time-Series Forecasting Transformers: Detecting and Adapting Context-Driven Distribution Shift

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 […]


Continue.. Calibration of Time-Series Forecasting Transformers: Detecting and Adapting Context-Driven Distribution Shift

Calibration of Time-Series Forecasting: Detecting and Adapting Context-Driven Distribution Shift

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 […]


Continue.. Calibration of Time-Series Forecasting: Detecting and Adapting Context-Driven Distribution Shift

Calibration of Time-Series Forecasting: Detecting and Adapting Context-Driven Distribution Shift

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 […]


Continue.. Calibration of Time-Series Forecasting: Detecting and Adapting Context-Driven Distribution Shift

Quantum Hamiltonian Algorithms for Maximum Independent Sets

Kavli Affiliate: Frank Wilczek | First 5 Authors: Xianjue Zhao, Peiyun Ge, Hongye Yu, Li You, Frank Wilczek | Summary: Two quantum Hamiltonian algorithms have been proposed to solve the maximum independent set problem: the PK algorithm, introduced in [Phys. Rev. A 101 (2020) 012318; Chin. Phys. Lett. 38, (2021) 030304], and the the HV […]


Continue.. Quantum Hamiltonian Algorithms for Maximum Independent Sets

Quantum Hamiltonian Algorithms for Maximum Independent Sets

Kavli Affiliate: Frank Wilczek | First 5 Authors: Xianjue Zhao, Peiyun Ge, Hongye Yu, Li You, Frank Wilczek | Summary: Two quantum Hamiltonian algorithms have been proposed to solve the maximum independent set problem: the PK algorithm, introduced in [Phys. Rev. A 101 (2020) 012318; Chin. Phys. Lett. 38, (2021) 030304], and the the HV […]


Continue.. Quantum Hamiltonian Algorithms for Maximum Independent Sets