NeurIPS Fest 2022
Annual NeurIPS-preview party spotlighting Amsterdam’s finest and latest research in machine learning
- Date
November 24, 2022
- Time
17:00-20:00
- Location
Lab42, Amsterdam Science Park
Come and deep dive into the state-of-the-art machine learning research that will be showcased at the Neural Information Processing Systems (NeurIPS).
Event programme
17:00-20:00
Poster Session
with bites & drinks
Venue: ground floor
Posters showcased at the event
Main track papers
Batch Bayesian Optimization on Permutations using the Acquisition Weighted Kernel
- Changyong Oh
- Roberto Bondesan
- Efstratios Gavves
- Max Welling
On Analyzing Generative and Denoising Capabilities of Diffusion-based Deep Generative Models
- Kamil Deja
- Anna Kuzina
- Tomasz Trzcinski
- Jakub Tomczak
Learning Expressive Meta-Representations with Mixture of Expert Neural Processes
- Qi Wang
- Herke van Hoof
LieGG: Studying Learned Lie Group Generators
- Anna Sepliarskaia
- Artem Moskalev
- Ivan Sosnovik
- Arnold Smeulders
Generalization Bounds for Equivariant Networks
- Arash Behboodi
- Gabriele Cesa
- Taco Cohen
Riemannian Diffusion Models
- Chin-Wei Huang
- Milad Aghajohari
- Joey Bose
- Prakash Panangaden
- Aaron Courville
[Re] Explaining in Style: Training a GAN to explain a classifier in StyleSpace
- Noah van der Vleuten
- Tadija Radusinović
- Rick Akkerman
- Meilina Reksoprodjo
On the symmetries of the synchronization problem in Cryo-EM: Multi-Frequency Vector Diffusion Maps on the Projective Plane
- Gabriele Cesa
- Arash Behboodi
- Taco Cohen
- Max Welling
Association Graph Learning for Multi-Task Classification with Category Shifts
- Jiayi Shen
- Zehao Xiao
- Xiantong Zhen
- Cees Snoek
- Marcel Worring
Factored Adaptation for Non-Stationary Reinforcement Learning
- Fan Feng
- Biwei Huang
- Kun Zhang
- Sara Magliacane
Maximum Class Separation as Inductive Bias in One Matrix
- Tejaswi Kasarla
- Gertjan Burghouts
- Max van Spengler
- Elise van der Pol
- Rita Cucchiara
- Pascal Mettes
Weakly supervised causal representation learning
- Johann Brehmer
- Pim de Haan
- Phillip Lippe
- Taco Cohen
- Rita Cucchiara
- Pascal Mettes
Video Diffusion Models
- Jonathan Ho
- Tim Salimans
- Alexey Gritsenko
- William Chan
- Mohammad Norouzi
- David Fleet
Photorealistic Text-to-Image Diffusion Models with Deep Language Understanding
- Chitwan Saharia
- William Chan
- Saurabh Saxena
- Lala Li
- Jay Whang
- Emily Denton
- Seyed Kamyar Seyed Ghasemipour
- Raphael Gontijo Lopes
- Burcu Ayan
- Tim Salimans
- Jonathan Ho
- David Fleet
- Mohammad Norouzi
Alleviating Adversarial Attacks on Variational Autoencoders with MCMC
- Anna Kuzina
- Max Welling
- Jakub Tomczak
Variational Model Perturbation for Source-Free Domain Adaptation
- Mengmeng Jing
- Xiantong Zhen
- Jingjing Li
- Cees Snoek
Neural Topological Ordering for Computation Graphs
- Mukul Gagrani
- Corrado Rainone
- Yang Yang
- Harris Teague
- Wonseok Jeon
- Roberto Bondesan
- Herke van Hoof
- Christopher Lott
- Weiliang Zeng
- Piero Zappi
Contrastive Neural Ratio Estimation
- Benjamin K. Miller
- Christoph Weniger
- Patrick Forré
Equivariant Networks for Zero-Shot Coordination
- Darius Muglich
- Christian Schroeder de Witt
- Elise van der Pol
- Shimon Whiteson
- Jakob Foerster
RankFeat: Rank-1 Feature Removal for Out-of-distribution Detection
- Yue Song
- Nicu Sebe
- Wei Wang
Hyperbolic Embedding Inference for Structured Multi-Label Prediction
- Bo Xiong
- Michael Cochez
- Mojtaba Nayyeri
- Steffen Staab
Workshop papers
Hyperbolic Image Segmentation
- Mina Ghadimi Atigh
- Julian Schoep
- Erman Acar
- Nanne van Noord
- Pascal Mettes
Self-Guided Diffusion Models
- Vincent Tao Hu
- David W. Zhang
- Yuki M. Asano
- Gertjan J. Burghouts
- Cees Snoek
Self-Contained Entity Discovery from Captioned Videos
- Melika Ayoughi
- Paul Groth
- Pascal Mettes
Latent GP-ODEs with Informative Priors
- Ilze Amanda Auzina
- Cagatay Yildiz
- Efstratios Gavves
An Analytics of Culture: Modeling Subjectivity, Scalability, Contextuality, and Temporality
- Melvin Wevers
- Tobias Blanke
- Julia Noordegraaf
- Marcel Worring
- Nanne van Noord
[Re] Replication Study of “Fairness and Bias in Online Selection”
- Jaap Stefels
- Diego van der Mast
- Soufiane Ben Haddou
- Jacky Chu
Strategic classification made practical: reproduction
- Maks Kulicki
Robust Scheduling with GFlowNets
- David W. Zhang
- Corrado Rainone
- Markus Peschl
- Roberto Bondesan
[Re] Replication Study of “Fairness and Bias in Online Selection”
- Roxana Petcu
- Pim Praat
- Jeroen Wijnen
- Manolis Rerres
Meta-Learning Makes a Better Multimodal Few-shot Learner
- Ivona Najdenkoska
- Xiantong Zhen
- Marcel Worring
Kendall Shape-VAE : Learning Shapes in a Generative Framework
- Sharvaree Vadgama
- Jakub Tomczak
- Erik Bekkers
“[Re] Replication study of ’Data-Driven Methods for Balancing Fairness and Efficiency in Ride-Pooling’”
- Vera Neplenbroek
- Sabijn Perdijk
[Re] Exacerbating Algorithmic Bias through Fairness Attacks
- Matteo Tafuro
- Andrea Lombardo
- Lasse Becker-Czarnetzki
Towards Parameter-Efficient Automation of Data Wrangling Tasks with Prefix-Tuning
- David Vos
- Till Döhmen
- Sebastian Schelter
[Re] Reproduction Study of Variational Fair Clustering
- Floor Eijkelboom
- Mark Fokkema
- Anna Lau
- Luuk Verheijen
Unlocking Slot Attention by Changing Optimal Transport Costs
- Yan Zhang
- David W. Zhang
- Simon Lacoste-Julien
- Gertjan J. Burghouts
- Cees Snoek
Deconfounded Imitation Learning
- Risto Vuorio
- Johann Brehmer
- Hanno Ackermann
- Daniel Dijkman
- Taco Cohen
- Pim de Haan
The NeurIPS Fest 2022 is a preview party of the machine learning research which are happening in the Amsterdam AI Ecosystem, and will be showcased at the Thirty-sixth Conference on Neural Information Processing Systems (NeurIPS) 2022. Join us on 24 November 2022 at Lab42, in celebrating the great works of our researchers and students, and connecting with the ELLIS Amsterdam community at large!