Insights into Multiscale Complexity: from Macroscopic Patterns to Microscopic Simulations via Deep Learning

Posted by dbos Peking

Kavli Affiliate: Jing Wang | First 5 Authors: Jing Wang, Zheng Li, Pengyu Lai, Rui Wang, Di Yang | Summary: Multiscale phenomena manifest across various scientific domains, presenting a ubiquitous challenge in accurately and effectively simulating multiscale dynamics in complex systems. In this paper, a novel decoupling solving mode is proposed through modelling large-scale dynamics […]


Continue.. Insights into Multiscale Complexity: from Macroscopic Patterns to Microscopic Simulations via Deep Learning

Multiscale Modelling with Physics-informed Neural Network: from Large-scale Dynamics to Small-scale Predictions in Complex Systems

Posted by dbos Peking

Kavli Affiliate: Jing Wang | First 5 Authors: Jing Wang, Zheng Li, Pengyu Lai, Rui Wang, Di Yang | Summary: Multiscale phenomena manifest across various scientific domains, presenting a ubiquitous challenge in accurately and effectively predicting multiscale dynamics in complex systems. In this paper, a novel decoupling solving mode is proposed through modelling large-scale dynamics […]


Continue.. Multiscale Modelling with Physics-informed Neural Network: from Large-scale Dynamics to Small-scale Predictions in Complex Systems

Realization of Wess-Zumino-Witten transitions with levels $k=6$ and $k=4$ in a frustrated spin-3 chain

Posted by dbos Delft

Kavli Affiliate: Natalia Chepiga | First 5 Authors: Natalia Chepiga, , , , | Summary: We study dimerization transitions in a frustrated spin-3 chain with next-nearest neighbor and three-site interactions. We show that two independent coupling constants of the model are sufficient to fine-tune the system to the critical point in the Wess-Zumino-Witten SU(2)$_6$ universality […]


Continue.. Realization of Wess-Zumino-Witten transitions with levels $k=6$ and $k=4$ in a frustrated spin-3 chain

Realization of Wess-Zumino-Witten transitions with levels $k=6$ and $k=4$ in a frustrated spin-3 chain

Posted by dbos Delft

Kavli Affiliate: Natalia Chepiga | First 5 Authors: Natalia Chepiga, , , , | Summary: We study dimerization transitions in a frustrated spin-3 chain with next-nearest neighbor and three-site interactions. We show that two independent coupling constants of the model are sufficient to fine-tune the system to the critical point in the Wess-Zumino-Witten SU(2)$_6$ universality […]


Continue.. Realization of Wess-Zumino-Witten transitions with levels $k=6$ and $k=4$ in a frustrated spin-3 chain

Realization of Wess-Zumino-Witten transitions with levels $k=6$ and $k=4$ in a frustrated spin-3 chain

Posted by dbos Delft

Kavli Affiliate: Natalia Chepiga | First 5 Authors: Natalia Chepiga, , , , | Summary: We study dimerization transitions in a frustrated spin-3 chain with next-nearest neighbor and three-site interactions. We show that two independent coupling constants of the model are sufficient to fine-tune the system to the critical point in the Wess-Zumino-Witten SU(2)$_6$ universality […]


Continue.. Realization of Wess-Zumino-Witten transitions with levels $k=6$ and $k=4$ in a frustrated spin-3 chain

FM-Fusion: Instance-aware Semantic Mapping Boosted by Vision-Language Foundation Models

Posted by dbos Peking

Kavli Affiliate: Ke Wang | First 5 Authors: Chuhao Liu, Ke Wang, Jieqi Shi, Zhijian Qiao, Shaojie Shen | Summary: Semantic mapping based on the supervised object detectors is sensitive to image distribution. In real-world environments, the object detection and segmentation performance can lead to a major drop, preventing the use of semantic mapping in […]


Continue.. FM-Fusion: Instance-aware Semantic Mapping Boosted by Vision-Language Foundation Models

FM-Fusion: Instance-aware Semantic Mapping Boosted by Vision-Language Foundation Models

Posted by dbos Peking

Kavli Affiliate: Ke Wang | First 5 Authors: Chuhao Liu, Ke Wang, Jieqi Shi, Zhijian Qiao, Shaojie Shen | Summary: Semantic mapping based on the supervised object detectors is sensitive to image distribution. In real-world environments, the object detection and segmentation performance can lead to a major drop, preventing the use of semantic mapping in […]


Continue.. FM-Fusion: Instance-aware Semantic Mapping Boosted by Vision-Language Foundation Models

Gamma-ray Bursts as Distance Indicators by a Statistical Learning Approach

Posted by dbos Stanford

Kavli Affiliate: Vahe Petrosian | First 5 Authors: Maria Giovanna Dainotti, Aditya Narendra, Agnieszka Pollo, Vahe Petrosian, Malgorzata Bogdan | Summary: Gamma-ray bursts (GRBs) can be probes of the early universe, but currently, only 26% of GRBs observed by the Neil Gehrels Swift Observatory GRBs have known redshifts ($z$) due to observational limitations. To address […]


Continue.. Gamma-ray Bursts as Distance Indicators by a Statistical Learning Approach

Gamma-ray Bursts as Distance Indicators by a Machine Learning Approach

Posted by dbos Stanford

Kavli Affiliate: Vahe Petrosian | First 5 Authors: Maria Giovanna Dainotti, Aditya Narendra, Agnieszka Pollo, Vahe Petrosian, Malgorzata Bogdan | Summary: Gamma-ray bursts (GRBs) can be probes of the early universe, but currently, only 26% of GRBs observed by the Neil Gehrels Swift Observatory GRBs have known redshifts ($z$) due to observational limitations. To address […]


Continue.. Gamma-ray Bursts as Distance Indicators by a Machine Learning Approach

Predictive Sequence Learning in the Hippocampal Formation

Posted by dbos UCSD / Salk

Kavli Affiliate: Terrence Sejnowski | Authors: Yusi Chen, Huanqiu Zhang, Mia Cameron and Terrence J Sejnowski | Summary: The hippocampus receives sequences of sensory inputs from the cortex during exploration and encodes the sequences with millisecond precision. We developed a predictive autoencoder model of the hippocampus including the trisynaptic and monosynaptic circuits from the entorhinal […]


Continue.. Predictive Sequence Learning in the Hippocampal Formation