CogMol: Target-Specific and Selective Drug Design for COVID-19 Using Deep Generative Models
- Vijil Chenthamarakshan
- Payel Das
- et al.
- 2020
- NeurIPS 2020
Conference paper
Publications
656 results for Generative AI
Asymptotic Guarantees for Generative Modeling Based on the Smooth Wasserstein Distance
- Ziv Goldfeld
- Kristjan Greenewald
- et al.
- 2020
- NeurIPS 2020
Conference paperCharacterizing the Latent Space of Molecular Deep Generative Models with Persistent Homology Metrics
- Yair Schiff
- Payel Das
- et al.
- 2020
- NeurIPS 2020
Workshop paperInvestigating two super-resolution methods for downscaling precipitation: ESRGAN and CAR
- Campbell Watson
- Chulin Wang
- et al.
- 2020
- NeurIPS 2020
Workshop paperTopology-Driven Completion of Chemical Data
- Dmitry Zubarev
- Peter Ristoski
- 2020
- MRS Fall Meeting 2020
TalkPlatform for Polymer Inverse-Design by Graph Generative Algorithms
- Seiji Takeda
- Toshiyuki Hama
- et al.
- 2020
- MRS Fall Meeting 2020
TalkAutomatic Cyclometalated Iridium(III) Complex Design Using a Data-Driven Fragmentation Representation of Molecules
- Hsianghan Hsu
- Seiji Takeda
- et al.
- 2020
- MRS Fall Meeting 2020
TalkAccessing Creativity and Institutional Knowledge of Polymer Chemists via Expert-in-the-Loop AI—Case of Acrylic Polymer Design
- Victoria Piunova
- Dmitry Zubarev
- et al.
- 2020
- MRS Fall Meeting 2020
TalkFrom disjoint sets to parallel data to train seq2seq models for sentiment transfer
- Paulo Cavalin
- Marisa Vasconcelos
- et al.
- 2020
- EMNLP 2020
PaperPushing the Limits of AMR Parsing with Self-Learning
- Young-Suk Lee
- Ramón Fernandez Astudillo
- et al.
- 2020
- EMNLP 2020
Short paper