Search Results for author:
Found 8 papers, 0 papers with code
DISCOUNT: Distributional Counterfactual Explanation With Optimal Transport
This paper extends the concept of CEs to a distributional context, broadening the scope from individual data points to entire input and output distributions, named Distributional Counterfactual Explanation (DCE).
A Comparison of Temporal Encoders for Neuromorphic Keyword Spotting with Few Neurons
With the expansion of AI-powered virtual assistants, there is a need for low-power keyword spotting systems providing a "wake-up" mechanism for subsequent computationally expensive speech recognition.
Integration of Neuromorphic AI in Event-Driven Distributed Digitized Systems: Concepts and Research Directions
Based on this analysis, we propose a microservice-based framework for neuromorphic systems integration, consisting of a neuromorphic-system proxy, which provides virtualization and communication capabilities required in distributed systems of systems, in combination with a declarative programming approach offering engineering-process abstraction.
On the relevance of bandwidth extension for speaker identification
In this paper we discuss the relevance of bandwidth extension for speaker identification tasks.
Spatiotemporal Pattern Recognition in Single Mixed-Signal VLSI Neurons with Heterogeneous Dynamic Synapses
Mixed-signal neuromorphic processors with brain-like organization and device physics offer an ultra-low-power alternative to the unsustainable developments of conventional deep learning and computing.
Synaptic Integration of Spatiotemporal Features with a Dynamic Neuromorphic Processor
Here, we investigate synaptic integration of spatiotemporal spike patterns with multiple dynamic synapses on point-neurons in the DYNAP-SE neuromorphic processor, which offers a complementary resource-efficient, albeit less flexible, approach to feature detection.
Synaptic Delays for Temporal Feature Detection in Dynamic Neuromorphic Processors
Furthermore, we present a network that mimics the auditory feature detection circuit of crickets and demonstrate how varying synapse weights, input noise and processor temperature affects the circuit.
FOI DSS at SemEval-2018 Task 1: Combining LSTM States, Embeddings, and Lexical Features for Affect Analysis
This paper describes the system used and results obtained for team FOI DSS at SemEval-2018 Task 1: Affect In Tweets.
