17 citations
- Electronic Arts (Canada)CA2 papers
- iSign Solutions (United States)US1 paper
- Karius, Inc. (United States)US1 paper
- Northeastern UniversityUS1 paper
- Rutgers, The State University of New JerseyUS1 paper
- Tsinghua UniversityCN1 paper
- University of California, Los AngelesUS1 paper
- University of Illinois ChicagoUS1 paper
8 papers
Filter-adapted spatiotemporal sampling for real-time rendering
William Donnelly, Alan Wolfe, Judith Bütepage +1
Stochastic sampling techniques are ubiquitous in real-time rendering, where performance constraints force the use of low sample counts, leading to noisy intermediate results. To re…
Automated Graph Genetic Algorithm based Puzzle Validation for Faster Game Design
Karine Levonyan, Jesse Harder, Fernando De Mesentier Silva
Many games are reliant on creating new and engaging content constantly to maintain the interest of their player-base. One such example are puzzle games, in such it is common to hav…
Rig Inversion by Training a Differentiable Rig Function
Mathieu Marquis Bolduc, Hau Nghiep Phan
Rig inversion is the problem of creating a method that can find the rig parameter vector that best approximates a given input mesh. In this paper we propose to solve this problem b…
Learning Mixtures of Separable Dictionaries for Tensor Data: Analysis and Algorithms
Mohsen Ghassemi, Zahra Shakeri, Anand D. Sarwate +1
This work addresses the problem of learning sparse representations of tensor data using structured dictionary learning. It proposes learning a mixture of separable dictionaries to…
Exploring Gameplay With AI Agents
Fernando de Mesentier Silva, Igor Borovikov, John Kolen +2
The process of playtesting a game is subjective, expensive and incomplete. In this paper, we present a playtesting approach that explores the game space with automated agents and c…
HitFraud: A Broad Learning Approach for Collective Fraud Detection in Heterogeneous Information Networks
Bokai Cao, Mia Mao, Siim Viidu +1
On electronic game platforms, different payment transactions have different levels of risk. Risk is generally higher for digital goods in e-commerce. However, it differs based on p…