• case-insensitive prefix search: default
  e.g., sig matches "SIGIR" as well as "signal"
• exact word search: append dollar sign ($) to word
  e.g., graph$ matches "graph", but not "graphics"
• boolean and: separate words by space
  e.g., codd model
• boolean or: connect words by pipe symbol (|)
  e.g., graph|network

Update May 7, 2017: Please note that we had to disable the phrase search operator (.) and the boolean not operator (-) due to technical problems. For the time being, phrase search queries will yield regular prefix search result, and search terms preceded by a minus will be interpreted as regular (positive) search terms.

found 15 matches

• 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): 1975-1983 (2024)
• 
  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 abs/2403.05129 (2024)
• 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): 1114-1123 (2023)
• 
  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 abs/2311.01118 (2023)
• 2022
• 
  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): 2121-2132 (2022)
• 
  Mohammadamin Tavakoli, Alexander Shmakov, Francesco Ceccarelli, Pierre Baldi:
  Rxn Hypergraph: a Hypergraph Attention Model for Chemical Reaction Representation. CoRR abs/2201.01196 (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 abs/2206.02819 (2022)
• 2021
• 
  Mohammadamin Tavakoli, Forest Agostinelli, Pierre Baldi:
  SPLASH: Learnable activation functions for improving accuracy and adversarial robustness. Neural Networks 140: 1-12 (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 abs/2103.14536 (2021)
• 
  Mohammadamin Tavakoli, Peter J. Sadowski, Pierre Baldi:
  Tourbillon: a Physically Plausible Neural Architecture. CoRR abs/2107.06424 (2021)
• 2020
• 
  Mohammadamin Tavakoli, Pierre Baldi:
  Continuous Representation of Molecules using Graph Variational Autoencoder. AAAI Spring Symposium: MLPS 2020
• 
  Mohammadamin Tavakoli, Pierre Baldi:
  Continuous Representation of Molecules Using Graph Variational Autoencoder. CoRR abs/2004.08152 (2020)
• 
  Mohammadamin Tavakoli, Forest Agostinelli, Pierre Baldi:
  SPLASH: Learnable Activation Functions for Improving Accuracy and Adversarial Robustness. CoRR abs/2006.08947 (2020)
• 2019
• 
  Issa Annamoradnejad, MohammadAmin Fazli, Jafar Habibi, Sadjad Tavakoli:
  Cross-Cultural Studies Using Social Networks Data. IEEE Trans. Comput. Soc. Syst. 6(4): 627-636 (2019)