The Neural Information Processing Systems Conference 2022 is taking place in New Orleans, from 29 Nov to 9 December, 2022.

A number of Manchester researchers are presenting:

Provably expressive temporal graph networks
Amauri Souza, Diego Mesquita, Samuel Kaski, Vikas Garg
Tue, Nov 29, 22:00 — Poster Session 2

Improved Imaging by Invex Regularizers with Global Optima Guarantees
Samuel Pinilla, Tingting Mu, Neil Bourne, Jeyan Thiyagalingam
Wed, Nov 30, 17:00 — Poster Session 3

Adjoint-aided inference of Gaussian process-driven differential equations
Paterne Gahungu, Christopher W Lanyon, Mauricio A Álvarez, Engineer Bainomugisha, Michael Smith, Richard D. Wilkinson
Wed, Nov 30, 17:00 — Poster Session 3

Symmetry-induced Disentanglement on Graphs
Giangiacomo Mercatali, Andre Freitas, Vikas Garg
Wed, Nov 30, 17:00 — Poster Session 3

Deconfounded Representation Similarity for Comparison of Neural Networks
Tianyu Cui, Yogesh Kumar, Pekka Marttinen, Samuel Kaski
Wed, Nov 30, 17:00 — Poster Session 3

Modular Flows: Differential Molecular Generation
(Main conference paper and DLDE Workshop and New Frontiers in Graph Learning <GLFrontiers> Workshop paper)
Yogesh Verma, Samuel Kaski, Markus Heinonen, Vikas Garg
Thu, Dec 1, 22:00 — Poster Session 6

Human-in-the-Loop Learning (HiLL)
Workshop: Wei Pan, Shanghang Zhang, Pradeep Ravikumar, Vittorio Ferrari, Fisher Yu, Hao Dong, Xin Wang
Invited talk: Samuel Kaski: Collaborative AI for Assisting Virtual Laboratories | Dec 2 at 11-11.30am
Panel discussion with Samuel Kaski | Dec 2 at 4-5pm
Invited talk: Alex Hämäläinen, Mert Celikok, Samuel Kaski: Differentiable User Models (Best Paper Award)

Deriving Semantic Class Targets for the Physical Sciences  
Micah Bowles, Hongming Tang, Eleni Vardoulaki, Emma L. Alexander, Yan Luo, Lawrence Rudnick, Mike Walmsley, Fiona Porter, Anna M. M. Scaife, Inigo Val Slijepcevic, Gary Segal
Sat, Dec 3, 10-11am, Room 275-277, Machine Learning for the Physical Sciences Workshop

Uni[MASK]: Unified Inference in Sequential Decision Problems
Micah Carroll · Orr Paradise · Jessy Lin · Raluca Georgescu · Mingfei Sun · David Bignell · Stephanie Milani · Katja Hofmann · Matthew Hausknecht · Anca Dragan · Sam Devlin
Wed 3 Dec, 11:00 – Poster Session

Imitating Human Behaviour with Diffusion Models
Tim Pearce · Tabish Rashid · Anssi Kanervisto · David Bignell · Mingfei Sun · Raluca Georgescu · Sergio Valcarcel Macua · Shan Zheng Tan · Ida Momennejad · Katja Hofmann · Sam Devlin
Deep Reinforcement Learning Workshop
Fri 9 Dec, 8:25am

HAPNEST: An efficient tool for generating large-scale genetics datasets from limited training data
(SyntheticData4ML Workshop paper)
Sophie Wharrie, Zhiyu Yang, Vishnu Raj, Remo Monti, Rahul Gupta, Ying Wang, Alicia Martin, Luke J O’Connor, Samuel Kaski, Pekka Marttinen, Pier Francesco Palamara, Christoph Lippert, Andrea Ganna
Software link
Workshop link

More trustworthy Bayesian optimization of materials properties by adding humans into the loop 
(AI for Accelerated Materials Design workshop paper)
Armi Tiihonen, Louis Filstroff, Petrus Mikkola, Emma Lehto, Samuel Kaski, Milica Todorović, Patrick Rinke

Targeted Causal Elicitation
Nazaal Ibrahim, S. T. John, Zhigao Guo, Samuel Kaski
(CML4Imparct)

Noise-Aware Statistical Inference with Differentially Private Synthetic Data
Ossi Räisä, Joonas Jälkö, Samuel Kaski, Antti Honkela
(SyntheticData4ML)

Multi-Mean Gaussian Processes: A novel probabilistic framework for multi-correlated longitudinal data:
Arthur Leroy; Mauricio A Álvarez

Manchester’s presence at NeurIPS 2022