Neural Network Reparametrization for Accelerated Optimization in Molecular Simulations
- Nima Dehmamy
- Csaba Both
- et al.
- 2024
- NeurIPS 2024
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716 results for Life Sciences
Geometry of naturalistic object representations in recurrent neural network models of working memory
- Xiaoxuan Lei
- Taku Ito
- et al.
- 2024
- NeurIPS 2024
- Topic
Hybrid quantum-classical graph neural networks for tumor classification in digital pathology
- Anupama Ray
- Dhiraj Madan
- et al.
- 2024
- QCE 2024
Quantum Theory and Application of Contextual Optimal Transport
- Nicola Mariella
- Albert Akhriev
- et al.
- 2024
- ICML 2024
Harnessing Remote Speech Tasks for Early ALS Biomarker Identification
- Carla Agurto Rios
- Michele Merler
- et al.
- 2024
- ICDH 2024
Conformal Autoregressive Generation: Beam Search with Coverage Guarantees
- Nicolas Deutschmann
- Marvin Alberts
- et al.
- 2024
- AAAI 2024
Knowledge enhanced representation learning for drug discovery
- 2024
- AAAI 2024
Pre-Training Protein Encoder via Siamese Sequence-Structure Diffusion Trajectory Prediction
- Zuobai Zhang
- Minghao Xu
- et al.
- 2023
- NeurIPS 2023
Accelerating Material Design with the Generative Toolkit for Scientific Discovery (GT4SD)
- Matteo Manica
- Joris Cadow
- et al.
- 2022
- ACS Fall 2022
Combining physics-based modeling and graph neural networks for drug discovery
- 2022
- ACS Fall 2022