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20172022
most citedA step towards procedural terrain generation with GANs

15 citations · 29 across the 3 of their papers we have counts for

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5 papers · 1 filter

stat.ML2022

Visual Question Answering From Another Perspective: CLEVR Mental Rotation Tests

Christopher Beckham, Martin Weiss, Florian Golemo +3

Different types of mental rotation tests have been used extensively in psychology to understand human visual reasoning and perception. Understanding what an object or visual scene…

stat.ML2019

On Adversarial Mixup Resynthesis

Christopher Beckham, Sina Honari, Vikas Verma +5

In this paper, we explore new approaches to combining information encoded within the learned representations of auto-encoders. We explore models that are capable of combining the a…

stat.ML2018

Manifold Mixup: Better Representations by Interpolating Hidden States

Vikas Verma, Alex Lamb, Christopher Beckham +5

Deep neural networks excel at learning the training data, but often provide incorrect and confident predictions when evaluated on slightly different test examples. This includes di…

stat.ML201715 cited

A step towards procedural terrain generation with GANs

Christopher Beckham, Christopher Pal

Procedural terrain generation for video games has been traditionally been done with smartly designed but handcrafted algorithms that generate heightmaps. We propose a first step to…

stat.ML201714 cited

Unimodal probability distributions for deep ordinal classification

Christopher Beckham, Christopher Pal

Probability distributions produced by the cross-entropy loss for ordinal classification problems can possess undesired properties. We propose a straightforward technique to constra…