PROFIS: Design of Target-Focused Libraries by Probing Continuous Fingerprint Space with Recurrent Neural Networks حسب Hubert Rybka (21190469)

"…The search for latent representations that are expected to yield active structures upon decoding to SMILES is conducted with a Bayesian optimization algorithm. …"

PROFIS: Design of Target-Focused Libraries by Probing Continuous Fingerprint Space with Recurrent Neural Networks حسب Hubert Rybka (21190469)

"…The search for latent representations that are expected to yield active structures upon decoding to SMILES is conducted with a Bayesian optimization algorithm. …"

PROFIS: Design of Target-Focused Libraries by Probing Continuous Fingerprint Space with Recurrent Neural Networks حسب Hubert Rybka (21190469)

"…The search for latent representations that are expected to yield active structures upon decoding to SMILES is conducted with a Bayesian optimization algorithm. …"

PROFIS: Design of Target-Focused Libraries by Probing Continuous Fingerprint Space with Recurrent Neural Networks حسب Hubert Rybka (21190469)

"…The search for latent representations that are expected to yield active structures upon decoding to SMILES is conducted with a Bayesian optimization algorithm. …"

Panel (a): Schematic diagram of model predictive control for optimising epidemic interventions. حسب Sandor Beregi (22177739)

Data Sheet 1_Enhancing mass vaccination programs with queueing theory and spatial optimization.pdf حسب Sherrie Xie (11387631)

"…We compared expected vaccination coverage and losses from queueing (i.e., attrition) for sites optimized with our queue-conscious algorithm to those used in a previous vaccination campaign, as well as to sites obtained from a queue-naïve version of the same algorithm.…"

Video 1_Enhancing mass vaccination programs with queueing theory and spatial optimization.mp4 حسب Sherrie Xie (11387631)

"…We compared expected vaccination coverage and losses from queueing (i.e., attrition) for sites optimized with our queue-conscious algorithm to those used in a previous vaccination campaign, as well as to sites obtained from a queue-naïve version of the same algorithm.…"

Risk-Sensitive Deep RL: Variance-Constrained Actor-Critic Provably Finds Globally Optimal Policy حسب Han Zhong (5159162)

"…When both the value and policy functions are represented by multi-layer overparameterized neural networks, we prove that our actor-critic algorithm generates a sequence of policies that finds a globally optimal policy at a sublinear rate. …"

Effect of “nonfunctional group” on function. حسب Yuanchen Zhao (12905580)

Influence of the retrospective inference mechanism on CAPRI²’s estimated event probabilities. حسب Johanna K. Theuer (19942849)

Fig 5 - حسب Johanna K. Theuer (19942849)

Fig 4 - حسب Silvia Merdikawati (20298266)

Fig 5 - حسب Silvia Merdikawati (20298266)

Fig 9 - حسب Silvia Merdikawati (20298266)

Ramp signal error curve. حسب Xiangfei Tao (20775636)

"…The dung beetle optimization algorithm is specifically designed to iteratively optimize the control parameters of the robust adaptive controller. …"

Comparison of experimental signal results. حسب Xiangfei Tao (20775636)

"…The dung beetle optimization algorithm is specifically designed to iteratively optimize the control parameters of the robust adaptive controller. …"

Sinusoidal signal response curve. حسب Xiangfei Tao (20775636)

"…The dung beetle optimization algorithm is specifically designed to iteratively optimize the control parameters of the robust adaptive controller. …"

Design scheme of shock absorber test bench. حسب Xiangfei Tao (20775636)

"…The dung beetle optimization algorithm is specifically designed to iteratively optimize the control parameters of the robust adaptive controller. …"

Ramp signal response curve. حسب Xiangfei Tao (20775636)

"…The dung beetle optimization algorithm is specifically designed to iteratively optimize the control parameters of the robust adaptive controller. …"

Step signal error curve. حسب Xiangfei Tao (20775636)

"…The dung beetle optimization algorithm is specifically designed to iteratively optimize the control parameters of the robust adaptive controller. …"