activity
20192023
most citedLifelong Neural Predictive Coding: Learning Cumulatively Online without Forgetting

6 citations · 17 across the 5 of their papers we have counts for

collaborators

5 papers

cs.HC2023★ 1 cited

A prototype hybrid prediction market for estimating replicability of published work

Tatiana Chakravorti, Robert Fraleigh, Timothy Fritton +7

We present a prototype hybrid prediction market and demonstrate the avenue it represents for meaningful human-AI collaboration. We build on prior work proposing artificial predicti…

cs.IT2022★ 5 cited

Artificial prediction markets present a novel opportunity for human-AI collaboration

Tatiana Chakravorti, Vaibhav Singh, Sarah Rajtmajer +6

Despite high-profile successes in the field of Artificial Intelligence, machine-driven technologies still suffer important limitations, particularly for complex tasks where creativ…

cs.LG2021

Recognizing and Verifying Mathematical Equations using Multiplicative Differential Neural Units

Ankur Mali, Alexander Ororbia, Daniel Kifer +1

Automated mathematical reasoning is a challenging problem that requires an agent to learn algebraic patterns that contain long-range dependencies. Two particular tasks that test th…

cs.LG2020★ 5 cited

Large-Scale Gradient-Free Deep Learning with Recursive Local Representation Alignment

Alexander Ororbia, Ankur Mali, Daniel Kifer +1

Training deep neural networks on large-scale datasets requires significant hardware resources whose costs (even on cloud platforms) put them out of reach of smaller organizations,…

cs.LG2019★ 6 cited

Lifelong Neural Predictive Coding: Learning Cumulatively Online without Forgetting

Alexander Ororbia, Ankur Mali, Daniel Kifer +1

In lifelong learning systems based on artificial neural networks, one of the biggest obstacles is the inability to retain old knowledge as new information is encountered. This phen…