Ashwin K. Muppalla

According to our database, Ashwin K. Muppalla authored at least 2 papers between 2019 and 2021.

Collaborative distances:

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

2021

Automated Testing of Graphics Units by Deep-Learning Detection of Visual Anomalies.

Lev Faivishevsky, Adi Szeskin, Ashwin K. Muppalla, Ravid Shwartz-Ziv, Itamar Ben-Ari, Ronen Laperdon, Benjamin Melloul, Tahi Hollander, Tom Hope, Amitai Armon

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

2019

A Weak Supervision Approach to Detecting Visual Anomalies for Automated Testing of Graphics Units.

Adi Szeskin, Lev Faivishevsky, Ashwin K. Muppalla, Amitai Armon, Tom Hope

CoRR, 2019