Kavli Affiliate: Max Tegmark | First 5 Authors: Eric J. Michaud, Isaac Liao, Vedang Lad, Ziming Liu, Anish Mudide | Summary: We present MIPS, a novel method for program synthesis based on automated mechanistic interpretability of neural networks trained to perform the desired task, auto-distilling the learned algorithm into Python code. We test MIPS on […]
Kavli Affiliate: Max Tegmark | First 5 Authors: Jinyeop Song, Ziming Liu, Max Tegmark, Jeff Gore, | Summary: Neural scaling laws characterize how model performance improves as the model size scales up. Inspired by empirical observations, we introduce a resource model of neural scaling. A task is usually composite hence can be decomposed into many […]
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 […]
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 […]
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 paradigm is proposed through modelling large-scale dynamics […]
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 […]
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 […]
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 […]
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 […]
Kavli Affiliate: Noah Kurinsky | First 5 Authors: Dylan J Temples, Osmond Wen, Karthik Ramanathan, Taylor Aralis, Yen-Yung Chang | Summary: Microcalorimeters that leverage microwave kinetic inductance detectors to read out phonon signals in the particle-absorbing target, referred to as kinetic inductance phonon-mediated (KIPM) detectors, offer an attractive detector architecture to probe dark matter (DM) […]