Mohammadamin Tavakoli

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 14

Top Topics

Neural Architecture

Quantum Mechanics

Top Venues

J. Chem. Inf. Model.

AAAI Spring Symposium: MLPS

Neural Networks

Publications

Shahriar Hojjati Emmami, Ali Pilehvar Meibody, Lobat Tayebi, Mohammadamin Tavakoli, Pierre Baldi
Unraveling the Molecular Magic: AI Insights on the Formation of Extraordinarily Stretchable Hydrogels. CoRR (2024)
Mohammadamin Tavakoli, Ryan J. Miller, Mirana Angel, Michael A. Pfeiffer, Eugene S. Gutman, Aaron Mood, David Van Vranken, Pierre Baldi
PMechDB: A Public Database of Elementary Polar Reaction Steps. J. Chem. Inf. Model. 64 (6) (2024)
Mohammadamin Tavakoli, Pierre Baldi, Ann Marie Carlton, Yin Ting T. Chiu, Alexander Shmakov, David Van Vranken
AI for Interpretable Chemistry: Predicting Radical Mechanistic Pathways via Contrastive Learning. NeurIPS (2023)
Mohammadamin Tavakoli, Yin Ting T. Chiu, Alexander Shmakov, Ann Marie Carlton, David Van Vranken, Pierre Baldi
AI for Interpretable Chemistry: Predicting Radical Mechanistic Pathways via Contrastive Learning. CoRR (2023)
Mohammadamin Tavakoli, Yin Ting T. Chiu, Pierre Baldi, Ann Marie Carlton, David Van Vranken
RMechDB: A Public Database of Elementary Radical Reaction Steps. J. Chem. Inf. Model. 63 (4) (2023)
Mohammadamin Tavakoli, Aaron Mood, David Van Vranken, Pierre Baldi
Quantum Mechanics and Machine Learning Synergies: Graph Attention Neural Networks to Predict Chemical Reactivity. J. Chem. Inf. Model. 62 (9) (2022)
Alexander Shmakov, Mohammadamin Tavakoli, Pierre Baldi, Christopher M. Karwin, Alex Broughton, Simona Murgia
Deep Learning Models of the Discrete Component of the Galactic Interstellar Gamma-Ray Emission. CoRR (2022)
Mohammadamin Tavakoli, Alexander Shmakov, Francesco Ceccarelli, Pierre Baldi
Rxn Hypergraph: a Hypergraph Attention Model for Chemical Reaction Representation. CoRR (2022)
Mohammadamin Tavakoli, Peter J. Sadowski, Pierre Baldi
Tourbillon: a Physically Plausible Neural Architecture. CoRR (2021)
Mohammadamin Tavakoli, Aaron Mood, David Van Vranken, Pierre Baldi
Quantum Mechanics and Machine Learning Synergies: Graph Attention Neural Networks to Predict Chemical Reactivity. CoRR (2021)
Mohammadamin Tavakoli, Forest Agostinelli, Pierre Baldi
SPLASH: Learnable activation functions for improving accuracy and adversarial robustness. Neural Networks 140 (2021)
Mohammadamin Tavakoli, Pierre Baldi
Continuous Representation of Molecules Using Graph Variational Autoencoder. CoRR (2020)
Mohammadamin Tavakoli, Forest Agostinelli, Pierre Baldi
SPLASH: Learnable Activation Functions for Improving Accuracy and Adversarial Robustness. CoRR (2020)
Mohammadamin Tavakoli, Pierre Baldi
Continuous Representation of Molecules using Graph Variational Autoencoder. AAAI Spring Symposium: MLPS (2020)