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Abstract: Representation learning is a key area in machine learning and deep learning, focusing on extracting meaningful features to support downstream tasks such as classification and clustering.
MUMBAI, Dec 16 (Reuters) - A panel set up by India's market regulator will recommend easing curbs on commodity derivatives and suggest steps to make it more attractive to institutional investors in a ...
Abstract: Many safety-critical applications of neural networks, such as robotic control, require safety guarantees. This article introduces a method for ensuring the safety of learned models for ...
A panel set up by market regulator SEBI will recommend easing curbs on commodity derivatives and suggest steps to make it more attractive to institutional investors in a final report to be submitted ...
https://www.thehindubusinessline.com/markets/commodities/sebi-panel-to-recommend-easing-rules-for-commodity-derivatives-sources-say/article70401782.ece Copy A panel ...
Python library for differentiable linear algebra with block-sparse tensors, supporting abelian symmetries. It supports a range of Projected Entangled Pair States (PEPS) and Matrix Product States (MPS) ...
The U.S. Commodity Futures Trading Commission issued no-action letters to the operators of prediction markets platforms Polymarket, PredictIt, Gemini and LedgerX/MIAX on Thursday, announcing that the ...
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