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Gradient Descent Approach to Optimizing AlphaFold2 Protein Predictions
The study was published in the journal Science. One popular technique for model optimization is gradient descent. It can be applied methodically to detect departures from the intended goal ...
eLife7d
A differentiable Gillespie algorithm for simulating chemical kinetics, parameter estimation, and designing synthetic biological circuits
A differentiable variant of the Gillespie algorithm enables gradient-based optimization for stochastic chemical kinetics, facilitating efficient parameter estimation and the design of biochemical ...
Harvard Business School3y
Descent-to-Delete: Gradient-Based Methods for Machine Unlearning
Neel, Seth, Aaron Leon Roth, and Saeed Sharifi-Malvajerdi. "Descent-to-Delete: Gradient-Based Methods for Machine Unlearning." Paper presented at the 32nd Algorithmic Learning Theory Conference, March ...