Generalizable and explainable prediction of potential miRNA-disease associations based on heterogeneous graph learning

Posted by klaurent UCAS

Kavli Affiliate: Yi Zhou | First 5 Authors: Yi Zhou, Meixuan Wu, Chengzhou Ouyang, Min Zhu, | Summary: Biomedical research has revealed the crucial role of miRNAs in the progression of many diseases, and computational prediction methods are increasingly proposed for assisting biological experiments to verify miRNA-disease associations (MDAs). However, the generalizability and explainability are […]


Continue.. Generalizable and explainable prediction of potential miRNA-disease associations based on heterogeneous graph learning

Generalizable prediction of potential miRNA-disease associations based on heterogeneous graph learning

Posted by klaurent UCAS

Kavli Affiliate: Yi Zhou | First 5 Authors: Yi Zhou, Meixuan Wu, Chengzhou Ouyang, Xinyi Wang, Min Zhu | Summary: Biomedical studies have revealed the crucial role of miRNAs in the progression of many diseases, and computational prediction methods are increasingly proposed for assisting biological experiments to verify miRNA-disease associations (MDAs). The generalizability is a […]


Continue.. Generalizable prediction of potential miRNA-disease associations based on heterogeneous graph learning

Removing direct photocurrent artifacts in optogenetic connectivity mapping data via constrained matrix factorization

Posted by klaurent Columbia

Kavli Affiliate: Liam Paninski | Authors: Benjamin Antin, Masato Sadahiro, Marta Gajowa, Marcus A. Triplett, Hillel Adesnik and Liam Paninski | Summary: Monosynaptic connectivity mapping is crucial for building circuit-level models of neural computation. Two-photon optogenetic stimulation, when combined with whole-cell recordings, has the potential to map monosynaptic connectivity at an unprecedented scale. However, optogenetic […]


Continue.. Removing direct photocurrent artifacts in optogenetic connectivity mapping data via constrained matrix factorization

The SocialAI School: Insights from Developmental Psychology Towards Artificial Socio-Cultural Agents

Posted by dbos MIT

Kavli Affiliate: Peter Ford | First 5 Authors: Grgur Kovač, Rémy Portelas, Peter Ford Dominey, Pierre-Yves Oudeyer, | Summary: Developmental psychologists have long-established the importance of socio-cognitive abilities in human intelligence. These abilities enable us to enter, participate and benefit from human culture. AI research on social interactive agents mostly concerns the emergence of culture […]


Continue.. The SocialAI School: Insights from Developmental Psychology Towards Artificial Socio-Cultural Agents

The SocialAI School: Insights from Developmental Psychology Towards Artificial Socio-Cultural Agents

Posted by dbos MIT

Kavli Affiliate: Peter Ford | First 5 Authors: Grgur Kovač, Rémy Portelas, Peter Ford Dominey, Pierre-Yves Oudeyer, | Summary: Developmental psychologists have long-established the importance of socio-cognitive abilities in human intelligence. These abilities enable us to enter, participate and benefit from human culture. AI research on social interactive agents mostly concerns the emergence of culture […]


Continue.. The SocialAI School: Insights from Developmental Psychology Towards Artificial Socio-Cultural Agents

Large Language Models as Superpositions of Cultural Perspectives

Posted by dbos MIT

Kavli Affiliate: Peter Ford | First 5 Authors: Grgur Kovač, Masataka Sawayama, Rémy Portelas, Cédric Colas, Peter Ford Dominey | Summary: Large Language Models (LLMs) are often misleadingly recognized as having a personality or a set of values. We argue that an LLM can be seen as a superposition of perspectives with different values and […]


Continue.. Large Language Models as Superpositions of Cultural Perspectives

Large Language Models as Superpositions of Cultural Perspectives

Posted by klaurent MIT

Kavli Affiliate: Peter Ford | First 5 Authors: Grgur Kovač, Masataka Sawayama, Rémy Portelas, Cédric Colas, Peter Ford Dominey | Summary: Large Language Models (LLMs) are often misleadingly recognized as having a personality or a set of values. We argue that an LLM can be seen as a superposition of perspectives with different values and […]


Continue.. Large Language Models as Superpositions of Cultural Perspectives

Large Language Models as Superpositions of Cultural Perspectives

Posted by klaurent MIT

Kavli Affiliate: Peter Ford | First 5 Authors: Grgur Kovač, Masataka Sawayama, Rémy Portelas, Cédric Colas, Peter Ford Dominey | Summary: Large Language Models (LLMs) are often misleadingly recognized as having a personality or a set of values. We argue that an LLM can be seen as a superposition of perspectives with different values and […]


Continue.. Large Language Models as Superpositions of Cultural Perspectives

Sensitivity Analysis for Unmeasured Confounding in Medical Product Development and Evaluation Using Real World Evidence

Posted by klaurent Berkeley

Kavli Affiliate: Xiang Zhang | First 5 Authors: Peng Ding, Yixin Fang, Doug Faries, Susan Gruber, Hana Lee | Summary: The American Statistical Association Biopharmaceutical Section (ASA BIOP) working group on real-world evidence (RWE) has been making continuous, extended effort towards a goal of supporting and advancing regulatory science with respect to non-interventional, clinical studies […]


Continue.. Sensitivity Analysis for Unmeasured Confounding in Medical Product Development and Evaluation Using Real World Evidence