Curious AI employees contributed to two NeurIPS 2019 accepted papers: Regularizing Trajectory Optimization with Denoising Autoencoders and Machine Teaching of Active Sequential Learners. In total University of Helsinki and Aalto University contributed whopping 10 papers to NeurIPS – a recognition to the local lively machine learning and AI scene.

Complete list from FCAI’s annoucement:


Regularizing Trajectory Optimization with Denoising Autoencoders
Rinu Boney (Aalto University) · Norman Di Palo (Italian Institute of Technology) · Mathias Berglund (Curious AI) · Alexander Ilin (Aalto University) · Juho Kannala (Aalto University) · Antti Rasmus (Curious AI) · Harri Valpola (Curious AI)

Improved Precision and Recall Metric for Assessing Generative Models
Tuomas Kynkäänniemi (Aalto University; NVIDIA) · Tero Karras (NVIDIA) · Samuli Laine (NVIDIA) · Jaakko Lehtinen (Aalto University; NVIDIA) · Timo Aila (NVIDIA)

Differentially Private Markov Chain Monte Carlo
Mikko Heikkilä (University of Helsinki) · Joonas Jälkö (Aalto University) · Onur Dikmen (Halmstad University) · Antti Honkela (University of Helsinki)

On Adversarial Mixup Resynthesis
Christopher Beckham (Mila, Polytechnique Montréal) · Sina Honari (Mila, Polytechnique Montréal) · Alex Lamb (Mila, University of Montreal) · Vikas Verma (Aalto University) · Farnoosh Ghadiri (Mila, Polytechnique Montréal) · R Devon Hjelm (Mila, University of Montreal; Microsoft Research) · Yoshua Bengio (Mila, University of Montreal) · Chris Pal (Mila, Element AI, Polytechnique Montréal)

High-Quality Self-Supervised Deep Image Denoising
Samuli Laine (NVIDIA) · Tero Karras (NVIDIA) · Jaakko Lehtinen (Aalto University; NVIDIA) · Timo Aila (NVIDIA)

Learning to Predict 3D Objects with an Interpolation-based Differentiable Renderer
Wenzheng Chen (University of Toronto) · Huan Ling (University of Toronto; NVIDIA) · Jun Gao (University of Toronto) · Edward Smith (McGill University) · Jaakko Lehtinen (Aalto University; NVIDIA) · Alec Jacobson (University of Toronto) · Sanja Fidler (University of Toronto)

Machine Teaching of Active Sequential Learners
Tomi Peltola (Aalto University) · Mustafa Mert Çelikok (Aalto University) · Pedram Daee (Aalto University) · Samuel Kaski (Aalto University)

ODE2VAE: Deep generative second order ODEs with Bayesian neural networks
Cagatay Yildiz (Aalto University) · Markus Heinonen (Aalto University) · Harri Lähdesmäki (Aalto University)

Identifying Causal Effects via Context-specific Independence Relations
Santtu Tikka (University of Jyväskylä) · Antti Hyttinen (University of Helsinki) · Juha Karvanen (University of Jyväskylä)

Variational Bayesian Decision-making for Continuous Utilities
Tomasz Kuśmierczyk (University of Helsinki) · Joseph Sakaya (University of Helsinki) · Arto Klami (University of Helsinki)