OpenReview
.net
OpenReview
.net
Login
OpenReview
.net
Login
Tycho F. A. van der Ouderaa
Researcher, Qualcomm Inc, Qualcomm
Joined
July 2019
Names
Tycho F. A. van der Ouderaa
(Preferred)
,
Tycho F.A. van der Ouderaa
Emails
****@gmail.com
(Confirmed)
,
****@quantib.com
(Confirmed)
,
****@imperial.ac.uk
(Confirmed)
,
****@qti.qualcomm.com
(Confirmed)
Personal Links
Homepage
LinkedIn
Career & Education History
Researcher
Qualcomm Inc, Qualcomm
(qti.qualcomm.com)
2025
–
Present
PhD student
Imperial College London
(imperial.ac.uk)
2021
–
2025
R&D Engineer
Quantib
(quantib.com)
2019
–
2021
MS student
University of Amsterdam
(uva.nl)
2016
–
2019
Undergrad student
University of Amsterdam
(uva.nl)
2013
–
2019
Advisors, Relations & Conflicts
Coauthor
Markus Nagel
2023
–
Present
Coauthor
Tijmen Blankevoort
2023
–
Present
Coauthor
Mart van Baalen
2023
–
Present
Coauthor
David W. Romero
2022
–
Present
Coauthor
Alexander Immer
2022
–
Present
PhD Advisor
Mark van der Wilk
2021
–
Present
Coauthor
Daniel E. Worrall
2019
–
Present
Coauthor
Bram van Ginneken
2019
–
Present
Expertise
No areas of expertise listed
Publications
Leech Lattice Vector Quantization for Efficient LLM Compression
Tycho F. A. van der Ouderaa
,
Mart Van Baalen
,
Paul N. Whatmough
,
Markus Nagel
AdaptFM Poster
Readers:
Everyone
Towards Large Scale Training on Apple Silicon
Tycho F. A. van der Ouderaa
,
Mohamed Baioumy
,
Matt Beton
,
Seth Howes
,
Gelu Vrabie
,
Alex Cheema
ES-FoMo III
Readers:
Everyone
Pyramid Vector Quantization for LLMs
Tycho F. A. van der Ouderaa
,
Maximilian L. Croci
,
Agrin Hilmkil
,
James Hensman
Submitted to ICLR 2025
Readers:
Everyone
Variational Inference Failures Under Model Symmetries: Permutation Invariant Posteriors for Bayesian Neural Networks
Yoav Gelberg
,
Tycho F. A. van der Ouderaa
,
Mark van der Wilk
,
Yarin Gal
ICML 2024 Workshop GRaM
Readers:
Everyone
Noether's Razor: Learning Conserved Quantities
Tycho F. A. van der Ouderaa
,
Mark van der Wilk
,
Pim De Haan
NeurIPS 2024 poster
Readers:
Everyone
The LLM Surgeon
Tycho F. A. van der Ouderaa
,
Markus Nagel
,
Mart Van Baalen
,
Tijmen Blankevoort
ICLR 2024 poster
Readers:
Everyone
Stochastic Marginal Likelihood Gradients using Neural Tangent Kernels
Alexander Immer
,
Tycho F. A. van der Ouderaa
,
Mark van der Wilk
,
Gunnar Ratsch
,
Bernhard Schölkopf
AABI 2023 - Fast Track
Readers:
Everyone
Learning Layer-wise Equivariances Automatically using Gradients
Tycho F.A. van der Ouderaa
,
Alexander Immer
,
Mark van der Wilk
NeurIPS 2023 spotlight
Readers:
Everyone
Stochastic Marginal Likelihood Gradients using Neural Tangent Kernels
Alexander Immer
,
Tycho F.A. van der Ouderaa
,
Mark van der Wilk
,
Gunnar Ratsch
,
Bernhard Schölkopf
ICML 2023 Poster
Readers:
Everyone
Sparse Convolutions on Lie Groups
Tycho F.A. van der Ouderaa
,
Mark van der Wilk
Published: 07 Nov 2022, Last Modified: 05 May 2023
NeurReps 2022 Poster
Readers:
Everyone
View all 24 publications
Co-Authors
Agrin Hilmkil
Alex Cheema
Alexander Immer
Bernhard Schölkopf
Bob D. De Vos
Bob D. de Vos
Daniel E. Worrall
David W. Romero
Gelu Vrabie
Gunnar Ratsch
Gunnar Rätsch
Ivana Isgum
James Hensman
Mark van der Wilk
Markus Nagel
Mart Van Baalen
Matt Beton
Maximilian L. Croci
Mohamed Baioumy
Paul N. Whatmough
Pim De Haan
Pim Moeskops
Seth Howes
Tijmen Blankevoort
Vincent Fortuin
View all 28 co-authors