The Conference and Workshop on Neural Information Processing Systems (NeurIPS) is one of the primary conferences of high impact in machine learning and artificial intelligence research, held every December. Here you can see the titles of accepted papers and workshop contributions with Chalmers authors.
NeurIPS 2025
The Thirty-Ninth Annual Conference on Neural Information Processing Systems
HollowFlow: Efficient Sample Likelihood Evaluation using Hollow Message Passing - Johann Flemming Gloy, Simon Olsson
An Efficient Local Search Approach for Polarized Community Discovery in Signed Networks - Linus Aronsson, Morteza Haghir Chehreghani
TopoMole: Topological Message Passing Meets Hyperedge Messages - Pablo Martínez Crespo, Rocío Mercado et al. (workshop AI4Mat)
LeMat-GenBench: Bridging the gap between crystal generation and materials discovery which include authors Rocío Mercado et al. (workshop AI4Mat)
Compressing Biology: Evaluating the Stable Diffusion VAE for Phenotypic Drug Discovery which include authors Télio Cropsal, Rocío Mercado et al. (workshop Imageomics)
Do you know of more contributions by Chalmers researchers? To have them added to the list, please send an e-mail.
NeurIPS 2024
The Thirty-Eighth Annual Conference on Neural Information Processing Systems, Vancouver, 10 Dec - 15 Dec.
Active preference learning for ordering items in- and out-of-sample
Herman Bergström · Emil Carlsson · Devdatt Dubhashi · Fredrik Johansson
IncomeSCM: From tabular data set to time-series simulator and causal estimation benchmark
Fredrik Johansson
Predicting Ground State Properties: Constant Sample Complexity and Deep Learning Algorithms
Marc Wanner · Laura Lewis · Chiranjib Bhattacharyya · Devdatt Dubhashi · Alexandru Gheorghiu
Algebraic Positional Encodings
Konstantinos Kogkalidis · Jean-Philippe Bernardy · Vikas Garg
Learning Structure-Aware Representations of Dependent Types
Konstantinos Kogkalidis · Orestis Melkonian · Jean-Philippe Bernardy
Bias in Motion: Theoretical Insights into the Dynamics of Bias in SGD Training
Anchit Jain · Rozhin Nobahari · Aristide Baratin · Stefano Mannelli
SE(3)-bi-equivariant Transformers for Point Cloud Assembly
Ziming Wang · Rebecka Jörnsten