Contact-rich SE(3)-Equivariant Robot Manipulation Task Learning via Geometric Impedance Control

Kavli Affiliate: Xiang Zhang | First 5 Authors: Joohwan Seo, Nikhil Potu Surya Prakash, Xiang Zhang, Changhao Wang, Jongeun Choi | Summary: This paper presents a differential geometric control approach that leverages SE(3) group invariance and equivariance to increase transferability in learning robot manipulation tasks that involve interaction with the environment. Specifically, we employ a […]


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Matbench Discovery — An evaluation framework for machine learning crystal stability prediction

Kavli Affiliate: Kristin A. Persson | First 5 Authors: Janosh Riebesell, Rhys E. A. Goodall, Anubhav Jain, Philipp Benner, Kristin A. Persson | Summary: Matbench Discovery simulates the deployment of machine learning (ML) energy models in a high-throughput search for stable inorganic crystals. We address the disconnect between (i) thermodynamic stability and formation energy and […]


Continue.. Matbench Discovery — An evaluation framework for machine learning crystal stability prediction

Matbench Discovery — A framework to evaluate machine learning crystal stability predictions

Kavli Affiliate: Kristin A. Persson | First 5 Authors: Janosh Riebesell, Rhys E. A. Goodall, Philipp Benner, Yuan Chiang, Bowen Deng | Summary: Matbench Discovery simulates the deployment of machine learning (ML) energy models in a high-throughput search for stable inorganic crystals. We address the disconnect between (i) thermodynamic stability and formation energy and (ii) […]


Continue.. Matbench Discovery — A framework to evaluate machine learning crystal stability predictions

Matbench Discovery — A framework to evaluate machine learning crystal stability predictions

Kavli Affiliate: Kristin A. Persson | First 5 Authors: Janosh Riebesell, Rhys E. A. Goodall, Philipp Benner, Yuan Chiang, Bowen Deng | Summary: The rapid adoption of machine learning (ML) in domain sciences necessitates best practices and standardized benchmarking for performance evaluation. We present Matbench Discovery, an evaluation framework for ML energy models, applied as […]


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A Transformer-Conditioned Neural Fields Pipeline with Polar Coordinate Representation for Astronomical Radio Interferometric Data Reconstruction

Kavli Affiliate: Feng Wang | First 5 Authors: Ruoqi Wang, Qiong Luo, Feng Wang, , | Summary: In radio astronomy, visibility data, which are measurements of wave signals from radio telescopes, are transformed into images for observation of distant celestial objects. However, these resultant images usually contain both real sources and artifacts, due to signal […]


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PolarRec: Radio Interferometric Data Reconstruction with Polar Coordinate Representation

Kavli Affiliate: Feng Wang | First 5 Authors: Ruoqi Wang, Zhuoyang Chen, Jiayi Zhu, Qiong Luo, Feng Wang | Summary: In radio astronomy, visibility data, which are measurements of wave signals from radio telescopes, are transformed into images for observation of distant celestial objects. However, these resultant images usually contain both real sources and artifacts, […]


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Federated Semi-Supervised and Semi-Asynchronous Learning for Anomaly Detection in IoT Networks

Kavli Affiliate: Feng Wang | First 5 Authors: Wenbin Zhai, Feng Wang, Liang Liu, Youwei Ding, Wanying Lu | Summary: Existing FL-based approaches are based on the unrealistic assumption that the data on the client-side is fully annotated with ground truths. Furthermore, it is a great challenge how to improve the training efficiency while ensuring […]


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Assessing Thermodynamic Selectivity of Solid-State Reactions for the Predictive Synthesis of Inorganic Materials

Kavli Affiliate: Kristin A. Persson | First 5 Authors: Matthew J. McDermott, Brennan C. McBride, Corlyn Regier, Gia Thinh Tran, Yu Chen | Summary: Synthesis is a major challenge in the discovery of new inorganic materials. There is currently limited theoretical rationale for planning optimal solid-state synthesis procedures that selectively yield desired targets with minimal […]


Continue.. Assessing Thermodynamic Selectivity of Solid-State Reactions for the Predictive Synthesis of Inorganic Materials

Assessing Thermodynamic Selectivity of Solid-State Reactions for the Predictive Synthesis of Inorganic Materials

Kavli Affiliate: Kristin A. Persson | First 5 Authors: Matthew J. McDermott, Brennan C. McBride, Corlyn Regier, Gia Thinh Tran, Yu Chen | Summary: Synthesis is a major challenge in the discovery of new inorganic materials. Currently, there is limited theoretical guidance for identifying optimal solid-state synthesis procedures. We introduce two selectivity metrics, primary and […]


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Error Mitigated Metasurface-Based Randomized Measurement Schemes

Kavli Affiliate: Birgitta Whaley | First 5 Authors: Hang Ren, Yipei Zhang, Ze Zheng, Cuifeng Ying, Lei Xu | Summary: Estimating properties of quantum states via randomized measurements has come to play a significant role in quantum information science. In this paper, we design an innovative approach leveraging metasurfaces to perform randomized measurements on photonic […]


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