We are delighted to announce that there have been 29Ìý this year by UCL researchers, many of whom are part of the AI Centre. Congratulations to all successful authors!
A Class of Algorithms for General Instrumental Variable Models
Niki Kilbertus (Helmholtz AI) · Matt Kusner (University College London) · Ricardo Silva (University College London)
Online Matrix Completion with Side Information
Mark Herbster (University College London) · Stephen Pasteris (University College London) · Fai Yu Lisa Tse (University College London)
Matern Gaussian processes on Riemannian manifolds
Viacheslav Borovitskiy (St. Petersburg Department of Steklov Mathematical Institute of Russian Academy of Sciences (PDMI RAS)) · Alexander Terenin (Petuum, Inc. and Imperial College London) · Peter Mostowsky (St. Petersburg State University) · Marc Deisenroth (University College London)
BlockGAN: Learning 3D Object-aware Scene Representations from Unlabelled Images
Thu Nguyen-Phuoc (University of Bath) · Christian Richardt (University of Bath) · Long Mai (Adobe Research) · Yongliang Yang (University of Bath) · Niloy Mitra (University College London)
Probabilistic Active Meta-Learning
Jean Kaddour (Imperial College London) · Steindor Saemundsson (Imperial College London) · Marc Deisenroth (University College London)
A Loss Function for Generative Neural Networks Based on Watson’s Perceptual Model
Steffen Czolbe (University of Copenhagen) · Oswin Krause (University of Copenhagen) · Ingemar Cox (University College London) · Christian Igel (University of Copenhagen)
A Non-Asymptotic Analysis for Stein Variational Gradient Descent
Anna Korba (Gatsby Unit - UCL) · Adil SALIM (KAUST) · Michael Arbel (UCL) · Giulia Luise (University College London) · Arthur Gretton (Gatsby Unit, UCL)
PAC-Bayesian Bound for the Conditional Value at Risk
Zakaria Mhammedi (The Australian National University and Data61) · Benjamin Guedj (Inria & University College London) · Robert Williamson (ANU)
Online Multitask Learning with Long-Term Memory
Mark Herbster (University College London) · Stephen Pasteris (University College London) · Fai Yu Lisa Tse (University College London)
The NetHack Learning Environment
Heinrich Küttler (Facebook AI Research) · Nantas Nardelli (University of Oxford) · Alexander Miller (Facebook AI Research) · Roberta Raileanu (NYU) · Marco Selvatici (Imperial College London) · Edward Grefenstette (DeepMind) · Tim Rocktäschel (University College London Facebook AI Research)
Barking up the right tree: an approach to search over molecule synthesis DAGs
John Bradshaw (University of Cambridge/MPI IS Tübingen) · Brooks Paige (University College London) · Matt Kusner (University College London) · Marwin Segler (BenevolentAI) · José Miguel Hernández-Lobato (University of Cambridge)
Learning Fair and Transferable Representations
Luca Oneto (University of Genoa) · Michele Donini (Amazon) · Giulia Luise (University College London) · Carlo Ciliberto (Imperial College London) · Massimiliano Pontil (IIT) · Andreas Maurer ()
Deep Reinforcement Learning with Stacked Hierarchical Attention for Text-based Games
Yunqiu Xu (University of Technology Sydney) · Meng Fang (Tencent) · Ling Chen (" University of Technology, Sydney, Australia") · Yali Du (University College London) · Joey Tianyi Zhou (IHPC, A*STAR) · Chengqi Zhang (University of Technology Sydney)
Replica-Exchange Nos\'e-Hoover Dynamics for Bayesian Learning on Large Datasets
Rui Luo (University College London) · Qiang Zhang (University College London) · Yaodong Yang (University College London) · Jun Wang (JD AI Research & UCL)
The Wasserstein Proximal Gradient Algorithm
Adil SALIM (KAUST) · Anna Korba (Gatsby Unit - UCL) · Giulia Luise (University College London)
Disentangling Human Error from Ground Truth in Segmentation of Medical Images
Le Zhang (University College London) · Ryutaro Tanno (Microsoft Research / UCL) · Moucheng Xu (University College London) · Chen Jin (University College London) · Joseph Jacob (University College London) · Olga Cicarrelli (Queen Square Multiple Sclerosis Centre) · Frederik Barkhof (University College London) · Daniel Alexander (University College London)
Goal-directed Generation of Discrete Structures with Conditional Generative Models
Maolaaisha Aminanmu (University of Geneva,University of Applied Sciences Western Switzerland) · Brooks Paige (University College London) · Alexandros Kalousis (University of Applied Sciences, Western Switzerland)
Deep active inference agents using Monte-Carlo methods
Zafeirios Fountas (University College London; Emotech Labs) · Noor Sajid (University College London) · Pedro Mediano (University of Cambridge ) · Karl Friston (University College London)
A kernel test for quasi-independence
Tamara Fernandez (University College London) · Wenkai Xu (Gatsby Unit, UCL) · Marc Ditzhaus (TU Dortmund University) · Arthur Gretton (Gatsby Unit, UCL)
Kernelized information bottleneck leads to biologically plausible 3-factor Hebbian learning in deep networks
Roman Pogodin (University College London) · Peter E Latham (Gatsby Unit, UCL)
On Second Order Behaviour in Augmented Neural ODEs
Alexander Norcliffe (University College London) · Cristian Bodnar (University of Cambridge) · Ben Day (University of Cambridge) · Nikola Simidjievski (University of Cambridge) · Pietro Lió (University of Cambridge)
The Advantage of Conditional Meta-Learning for Biased Regularization and Fine Tuning
Giulia Denevi (University College of London) · Massimiliano Pontil (IIT & UCL) · Carlo Ciliberto (Imperial College London)
Organizing recurrent network dynamics by task-computation to enable continual learning Lea
Duncker (Gatsby Unit, UCL) · Laura N Driscoll (Stanford) · Krishna V Shenoy (Stanford University) · Maneesh Sahani (Gatsby Unit, UCL) · David Sussillo (Stanford University)
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Non-reversible Gaussian processes for identifying latent dynamical structure in neural data Virginia
Rutten (Gatsby Computational Neuroscience Unit (UCL)) · Alberto Bernacchia (MediaTek Research) · Maneesh Sahani (Gatsby Unit,
UCL) · Guillaume Hennequin (Cambridge)Ìý [ORAL]
ICE-BeeM: Identifiable Conditional Energy-Based Deep Models Based on Nonlinear ICA Ilyes
Khemakhem (Gatsby Unit, UCL) · Ricardo Monti (Gatsby Unit, UCL) · Diederik P. Kingma (Google) · Aapo Hyvarinen (University of
Helsinki)
COT-GAN: Generating Sequential Data via Causal Optimal Transport
Tianlin Xu (London School of Economics and Political Science) · Wenliang Li (Gatsby Unit, UCL) · Michael Munn (Google) · Beatrice Acciaio (London School of Economics)
The interplay between randomness and structure during learning in RNNs
Friedrich Schuessler (Technion) · Francesca Mastrogiuseppe (Gatsby Unit, UCL) · Alexis Dubreuil (ENS) · Srdjan Ostojic (Ecole Normale
Superieure) · Omri Barak (Technion - Israeli institute of technology)
PAC-Bayes Analysis Beyond the Usual
Bounds Omar Rivasplata (DeepMind & UCL) · Ilja Kuzborskij (DeepMind) · Csaba Szepesvari (DeepMind / University of Alberta) · John Shawe-Taylor
(UCL)
RELATE: Physically Plausible Multi-Object Scene Synthesis Using Structured Latent Spaces
Sebastien Ehrhardt (University of Oxford) · Oliver Groth (Oxford Robotics Institute) · Aron Monszpart (Niantic) · Martin Engelcke (University of Oxford) · Ingmar Posner (Oxford University) · Niloy Mitra (UCL/Adobe) · Andrea Vedaldi (Facebook AI Research and University of Oxford)
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