9 citations · 19 across the 5 of their papers we have counts for
5 papers
Multi-Agent Dynamic Pricing in a Blockchain Protocol Using Gaussian Bandits
Alexis Asseman, Tomasz Kornuta, Anirudh Patel +2
The Graph Protocol indexes historical blockchain transaction data and makes it available for querying. As the protocol is decentralized, there are many independent Indexers that in…
Accelerating Deep Neuroevolution on Distributed FPGAs for Reinforcement Learning Problems
Alexis Asseman, Nicolas Antoine, Ahmet S. Ozcan
Reinforcement learning augmented by the representational power of deep neural networks, has shown promising results on high-dimensional problems, such as game playing and robotic c…
Overview of the IBM Neural Computer Architecture
Pritish Narayanan, Charles E. Cox, Alexis Asseman +4
The IBM Neural Computer (INC) is a highly flexible, re-configurable parallel processing system that is intended as a research and development platform for emerging machine intellig…
Leveraging Medical Visual Question Answering with Supporting Facts
Tomasz Kornuta, Deepta Rajan, Chaitanya Shivade +2
In this working notes paper, we describe IBM Research AI (Almaden) team's participation in the ImageCLEF 2019 VQA-Med competition. The challenge consists of four question-answering…
Learning to Remember, Forget and Ignore using Attention Control in Memory
T. S. Jayram, Younes Bouhadjar, Ryan L. McAvoy +4
Typical neural networks with external memory do not effectively separate capacity for episodic and working memory as is required for reasoning in humans. Applying knowledge gained…