Implementation of nested theory of mind belief estimation & implicit communication intrinsic rewards.

Code accompanying the paper "Globally Optimal Learning for Structured Elliptical Losses", published at NeurIPS 2019

[NeurIPS 2019] Mobile-cloud split deep learning model inference

Python implementation of the Max-value Entropy Search for Multi-Objective Bayesian Optimization method

Code for [NeurIPS'2019 Spotlight] Policy Continuation with Hindsight Inverse Dynamics

Notes from Neurips 2019 Conference

Python implementation of the Structured Graph Learning (SGL) algorithm by Kumar et. al (2019, https://papers.nips.cc/paper/9339-structured-graph-learning-via-laplacian-spectral-constraints)

Tool for searching NeurIPS2019 proceedings

Review paper of neuropathic pain diagnosis(NeurIPS 2019) Implemented certain exercises more details in the pdf

Private learning in NeurIPS 2019

Source code for "Mo′ States Mo′ Problems: Emergency Stop Mechanisms from Observation"

My solution to the NeurIPS challenge Learn to Move: Walk Around

Pytorch based implementation of Upside Down Reinforcement Learning (UDRL) by J. Schmidhuber et al.

Code for the paper: Spatial and Colour Opponency in Anatomically Constrained Deep Networks

Code for the paper: Foveated Convolutions: Improving Spatial Transformer Networks by Modelling the Retina

NeurIPS 2019 Accepted - Extending Stein's Unbiased Risk Estimator to Train Deep Denoisers with Correlated Pairs of Noisy Images

3rd placed submission to the NeurIPS MineRL competition 2019

CellSignal (rxrx.ai) - NEURIPS 2019 COMPETITION

Implementation and supporting materials for the paper Multi-Criteria Dimensionality Reduction with Applications to Fairness, NeurIPS2019 and extend the prior work "The Price of Fair PCA: One Extra Dimension"