Vijay Sadashivaiah

According to our database, Vijay Sadashivaiah authored at least 8 papers between 2016 and 2022.

Collaborative distances:

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

2022

Auto-Transfer: Learning to Route Transferrable Representations.

Keerthiram Murugesan, Vijay Sadashivaiah, Ronny Luss, Karthikeyan Shanmugam, Pin-Yu Chen, Amit Dhurandhar

CoRR, 2022

Improving Language Model Predictions via Prompts Enriched with Knowledge Graphs.

Ryan Brate, Minh Hoang Dang, Fabian Hoppe, Yuan He, Albert Meroño-Peñuela, Vijay Sadashivaiah

Proceedings of the Workshop on Deep Learning for Knowledge Graphs (DL4KG 2022) co-located with the 21th International Semantic Web Conference (ISWC 2022), 2022

Auto-Transfer: Learning to Route Transferable Representations.

Keerthiram Murugesan, Vijay Sadashivaiah, Ronny Luss, Karthikeyan Shanmugam, Pin-Yu Chen, Amit Dhurandhar

Proceedings of the Tenth International Conference on Learning Representations, 2022

2018

Modeling the interactions between stimulation and physiologically induced APs in a mammalian nerve fiber: dependence on frequency and fiber diameter.

Vijay Sadashivaiah, Pierre Sacré, Yun Guan, William S. Anderson, Sridevi V. Sarma

J. Comput. Neurosci., 2018

Selective relay of afferent sensory-induced action potentials from peripheral nerve to brain and the effects of electrical stimulation.

Vijay Sadashivaiah, Pierre Sacré, Yun Guan, William S. Anderson

Proceedings of the 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2018

Studying the interactions in a mammalian nerve fiber: a functional modeling approach.

Vijay Sadashivaiah, Pierre Sacré, Yun Guan, William S. Anderson, Sridevi V. Sarma

Proceedings of the 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2018

2017

Modeling electrical stimulation of mammalian nerve fibers: A mechanistic versus probabilistic approach.

Vijay Sadashivaiah, Pierre Sacré, Yun Guan, William S. Anderson, Sridevi V. Sarma

Proceedings of the 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2017

2016

Using demographic and time series physiological features to classify sepsis in the intensive care unit.

Kristin M. Gunnarsdottir, Vijay Sadashivaiah, Matthew S. D. Kerr, Sabato Santaniello, Sridevi V. Sarma

Proceedings of the 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2016