Avadhut Sardeshmukh

According to our database, Avadhut Sardeshmukh authored at least 6 papers between 2014 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Material Microstructure Design Using VAE-Regression with Multimodal Prior.

Avadhut Sardeshmukh, Sreedhar Reddy, BP Gautham, Pushpak Bhattacharyya

CoRR, 2024

2022

Machine Learning for Materials Science (MLMS).

Avadhut Sardeshmukh, Sreedhar Reddy, Gautham B. P., Ankit Agrawal

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

2021

TextureVAE: Learning Interpretable Representations of Material Microstructures Using Variational Autoencoders.

Avadhut Sardeshmukh, Sreedhar Reddy, Gautham B. P., Pushpak Bhattacharyya

Proceedings of the AAAI 2021 Spring Symposium on Combining Artificial Intelligence and Machine Learning with Physical Sciences, Stanford, CA, USA, March 22nd - to, 2021

2017

Bayesian Networks for Inverse Inference in Manufacturing Bayesian Networks.

Avadhut Sardeshmukh, Sreedhar Reddy, Gautham B. P., Amol Joshi

Proceedings of the 16th IEEE International Conference on Machine Learning and Applications, 2017

2016

Soft Monotonic Constraint Support Vector Regression.

Sapan Shah, Avadhut Sardeshmukh, Shuaib Ahmed, Sreedhar Reddy

Proceedings of the 21st International Conference on Management of Data, 2016

2014

Prescriptive information fusion.

Gautam Shroff, Puneet Agarwal, Karamjit Singh, Auon Haidar Kazmi, Sapan Shah, Avadhut Sardeshmukh

Proceedings of the 17th International Conference on Information Fusion, 2014