ishita-dg

causal_markov

Black box variational inference for causal inference, behavioral experiments to test predictions about Markov violations.

Hypothesis-generation

Code to generate model simulation graphs for stochastic hypothesis generation.

interp-workshop-2019

Fairness and Interpretability IACS ComputeFest 2019

ishita-dg.github.io

LearningToInfer

Code to model conservatism and base rate neglect in series of queries

ScrambleTests

Running compostionality tests on InferSent embedding on SNLI

sentence-RNN

Training word-to-word RNNs on sentences.

SimulationVSAction

Code base for physics simulation experiment + Marco et al modeling framework

Thesis

ishita-dg/ScrambleTests

Running compostionality tests on InferSent embedding on SNLI

ishita-dg/sentence-RNN

Training word-to-word RNNs on sentences.

ishita-dg/SimulationVSAction

Code base for physics simulation experiment + Marco et al modeling framework

ishita-dg/causal_markov

Black box variational inference for causal inference, behavioral experiments to test predictions about Markov violations.

ishita-dg/Hypothesis-generation

Code to generate model simulation graphs for stochastic hypothesis generation.

ishita-dg/interp-workshop-2019

Fairness and Interpretability IACS ComputeFest 2019

ishita-dg/ishita-dg.github.io

ishita-dg/LearningToInfer

Code to model conservatism and base rate neglect in series of queries

ishita-dg/Thesis