Abhijith Jayakumar

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 5

Top Topics

Structural Learning

Graphical Models

Probabilistic Inference

Markov Logic Networks

Top Venues

Publications

Parikshit Pareek, Abhijith Jayakumar, Carleton Coffrin, Sidhant Misra
Demystifying Quantum Power Flow: Unveiling the Limits of Practical Quantum Advantage. CoRR (2024)
Abhijith Jayakumar, Stefano Chessa, Carleton Coffrin, Andrey Y. Lokhov, Marc Vuffray, Sidhant Misra
General Algorithms for SPAM Noise Characterization. QCE (2023)
Abhijith Jayakumar, Marc Vuffray, Andrey Y. Lokhov
Learning Energy-Based Representations of Quantum Many-Body States. CoRR (2023)
Abhijith Jayakumar, Andrey Y. Lokhov, Sidhant Misra, Marc Vuffray
Learning of Discrete Graphical Models with Neural Networks. CoRR (2020)
Abhijith Jayakumar, Andrey Y. Lokhov, Sidhant Misra, Marc Vuffray
Learning of Discrete Graphical Models with Neural Networks. NeurIPS (2020)