ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2401.17898
  4. Cited By
Multitask methods for predicting molecular properties from heterogeneous
  data

Multitask methods for predicting molecular properties from heterogeneous data

31 January 2024
Katharine Fisher
Michael Herbst
Youssef Marzouk
ArXivPDFHTML

Papers citing "Multitask methods for predicting molecular properties from heterogeneous data"

5 / 5 papers shown
Title
Data Fusion of Deep Learned Molecular Embeddings for Property Prediction
Data Fusion of Deep Learned Molecular Embeddings for Property Prediction
Robert Appleton
Brian C Barnes
Alejandro Strachan
FedML
AI4CE
32
0
0
09 Apr 2025
Investigating Data Hierarchies in Multifidelity Machine Learning for Excitation Energies
Investigating Data Hierarchies in Multifidelity Machine Learning for Excitation Energies
Vivin Vinod
Peter Zaspel
16
0
0
15 Oct 2024
Assessing Non-Nested Configurations of Multifidelity Machine Learning
  for Quantum-Chemical Properties
Assessing Non-Nested Configurations of Multifidelity Machine Learning for Quantum-Chemical Properties
Vivin Vinod
Peter Zaspel
AI4CE
16
3
0
24 Jul 2024
CheMFi: A Multifidelity Dataset of Quantum Chemical Properties of
  Diverse Molecules
CheMFi: A Multifidelity Dataset of Quantum Chemical Properties of Diverse Molecules
Vivin Vinod
Peter Zaspel
19
4
0
20 Jun 2024
The Open Catalyst 2020 (OC20) Dataset and Community Challenges
The Open Catalyst 2020 (OC20) Dataset and Community Challenges
L. Chanussot
Abhishek Das
Siddharth Goyal
Thibaut Lavril
Muhammed Shuaibi
...
Brandon M. Wood
Junwoong Yoon
Devi Parikh
C. L. Zitnick
Zachary W. Ulissi
221
503
0
20 Oct 2020
1