Nima Shoghi

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 7

Top Topics

Response Surface

Multi Layer Perceptron

Training Algorithm

Top Venues

IEEE Comput. Archit. Lett.

Publications

Nima Shoghi, Adeesh Kolluru, John R. Kitchin, Zachary W. Ulissi, C. Lawrence Zitnick, Brandon M. Wood
From Molecules to Materials: Pre-training Large Generalizable Models for Atomic Property Prediction. ICLR (2024)
Nima Shoghi, Pooya Shoghi, Anuroop Sriram, Abhishek Das
Distribution Learning for Molecular Regression. CoRR (2024)
Nima Shoghi, Adeesh Kolluru, John R. Kitchin, Zachary W. Ulissi, C. Lawrence Zitnick, Brandon M. Wood
From Molecules to Materials: Pre-training Large Generalizable Models for Atomic Property Prediction. CoRR (2023)
Richard Tran, Janice Lan, Muhammed Shuaibi, Siddharth Goyal, Brandon M. Wood, Abhishek Das, Javier Heras-Domingo, Adeesh Kolluru, Ammar Rizvi, Nima Shoghi, Anuroop Sriram, Zachary W. Ulissi, C. Lawrence Zitnick
The Open Catalyst 2022 (OC22) Dataset and Challenges for Oxide Electrocatalysis. CoRR (2022)
Ramyad Hadidi, Bahar Asgari, Sam Jijina, Adriana Amyette, Nima Shoghi, Hyesoon Kim
Quantifying the design-space tradeoffs in autonomous drones. ASPLOS (2021)
Nima Shoghi, Andrei Bersatti, Moinuddin K. Qureshi, Hyesoon Kim
SmaQ: Smart Quantization for DNN Training by Exploiting Value Clustering. IEEE Comput. Archit. Lett. 20 (2) (2021)
Andrei Bersatti, Nima Shoghi, Hyesoon Kim
Neural Network Weight Compression with NNW-BDI. MEMSYS (2020)