Neural scene representation and rendering

S. M. Ali Eslami, Danilo Jimenez Rezende, Frederic Besse, +19

Science

EngineeringMachine LearningScene Representation-the ProcessRepresentation LearningImage Analysis +15

Deep Unsupervised Clustering with Gaussian Mixture Variational Autoencoders

Nat Dilokthanakul, Pedro A. M. Mediano, Marta Garnelo, +4

arXiv (Cornell University)

Gaussian MixtureGenerative SystemEngineeringMachine LearningData Science +11

Interaction between tumour-infiltrating B cells and T cells controls the progression of hepatocellular carcinoma

Marta Garnelo, Alex Y. Tan, Zhisheng Her, +15

Gut

Reconciling deep learning with symbolic artificial intelligence: representing objects and relations

Marta Garnelo, Murray Shanahan

Current Opinion in Behavioral Sciences

Towards Deep Symbolic Reinforcement Learning

Marta Garnelo, Kai Arulkumaran, Murray Shanahan

arXiv (Cornell University)

Artificial IntelligenceSymbolic LearningReward HackingEngineeringMachine Learning +11

Conditional Neural Processes

Marta Garnelo, Dan Rosenbaum, Chris J. Maddison, +6

arXiv (Cornell University)

Geometric LearningEngineeringMachine LearningSequential LearningFunction Approximation +21

Open-ended Learning in Symmetric Zero-sum Games

David Balduzzi, Marta Garnelo, Yoram Bachrach, +4

arXiv (Cornell University)

Mathematical ProgrammingArtificial IntelligenceEngineeringMachine LearningCombinatorial Game +18

Inferring a Continuous Distribution of Atom Coordinates from Cryo-EM Images using VAEs

Dan Rosenbaum, Marta Garnelo, Michał Zieliński, +10

arXiv (Cornell University)

EngineeringMicroscopyAutoencodersMolecular BiologyCryo-em Images +18

Attentive Neural Processes

Hyunjik Kim, Andriy Mnih, Jonathan Schwarz, +5

arXiv (Cornell University)

Structured PredictionEngineeringMachine LearningNeural ProcessesNeural Recoding +20

Neural Processes

Marta Garnelo, Jonathan Schwarz, Dan Rosenbaum, +4

arXiv (Cornell University)

Artificial IntelligenceGradient DescentEngineeringMachine LearningData Science +11