News
Energy Consumption forecasting is an important part of proper management and sustainability for the grid. Deep learning models are currently being employed as strong energy demand predictors. Here, ...
High-precision photovoltaic (PV) power prediction is the key technology to ensure the safe and stable operation of power grid. To improve the accuracy of PV power prediction, this paper proposes a PV ...
This code provides a comprehensive framework to replicate the proposed TCN-LSTM model and used it as a signal generator for the strategy backtest. The provided conceptual code for backtesting.py and ...
Using this information, the model can then tell us the probability of a drug-protein interaction that we did not previously ...
Dubbed Adaptive Branching Monte Carlo Tree Search (AB-MCTS), it is a new inference-time scaling algorithm by Sakana AI.
Hosted on MSN21h
A recurrent neural network-based framework to non-linearly model behaviorally relevant neural dynamicsThe researchers trained their RNN-based model using a four-step optimization algorithm. This algorithm allows the model to prioritize the learning of behaviorally relevant latent states, while also ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results