Fredrik K. Gustafsson
@fregu856.bsky.social
Postdoc at IBME in Oxford. Machine learning for healthcare.
https://www.fregu856.com/
https://www.fregu856.com/
Pinned
Very happy to have joined the group of David Clifton at IBME in Oxford as a postdoc, to work on machine learning for healthcare!
The group is also recruiting multiple new postdocs, please apply before August 18:
eng.ox.ac.uk/jobs/job-det...
The group is also recruiting multiple new postdocs, please apply before August 18:
eng.ox.ac.uk/jobs/job-det...
I just reached 500 read papers on the Github repository I use to track and organize my reading:
github.com/fregu856/pap...
github.com/fregu856/pap...
GitHub - fregu856/papers: I categorize, annotate and write comments for all research papers I read (500+ papers since 2018).
I categorize, annotate and write comments for all research papers I read (500+ papers since 2018). - fregu856/papers
github.com
August 7, 2025 at 8:29 AM
I just reached 500 read papers on the Github repository I use to track and organize my reading:
github.com/fregu856/pap...
github.com/fregu856/pap...
Very happy to have joined the group of David Clifton at IBME in Oxford as a postdoc, to work on machine learning for healthcare!
The group is also recruiting multiple new postdocs, please apply before August 18:
eng.ox.ac.uk/jobs/job-det...
The group is also recruiting multiple new postdocs, please apply before August 18:
eng.ox.ac.uk/jobs/job-det...
July 21, 2025 at 8:00 AM
Very happy to have joined the group of David Clifton at IBME in Oxford as a postdoc, to work on machine learning for healthcare!
The group is also recruiting multiple new postdocs, please apply before August 18:
eng.ox.ac.uk/jobs/job-det...
The group is also recruiting multiple new postdocs, please apply before August 18:
eng.ox.ac.uk/jobs/job-det...
Not super happy with my assigned NeurIPS papers this year, I found them less interesting/relevant than I usually do. But oh well, still quite solid papers overall, and I do think it's good to be forced to read papers from slightly different areas sometimes.
July 3, 2025 at 11:48 AM
Not super happy with my assigned NeurIPS papers this year, I found them less interesting/relevant than I usually do. But oh well, still quite solid papers overall, and I do think it's good to be forced to read papers from slightly different areas sometimes.
Our paper "Taming Diffusion Models for Image Restoration: A Review" has now been published, work led by Ziwei Luo:
royalsocietypublishing.org/doi/10.1098/...
royalsocietypublishing.org/doi/10.1098/...
June 25, 2025 at 7:02 AM
Our paper "Taming Diffusion Models for Image Restoration: A Review" has now been published, work led by Ziwei Luo:
royalsocietypublishing.org/doi/10.1098/...
royalsocietypublishing.org/doi/10.1098/...
New preprint, work lead by Ziwei Luo:
Forward-only Diffusion Probabilistic Models.
arxiv.org/abs/2505.16733
github.com/Algolzw/FoD
algolzw.github.io/fod/
Forward-only Diffusion Probabilistic Models.
arxiv.org/abs/2505.16733
github.com/Algolzw/FoD
algolzw.github.io/fod/
May 23, 2025 at 11:35 AM
New preprint, work lead by Ziwei Luo:
Forward-only Diffusion Probabilistic Models.
arxiv.org/abs/2505.16733
github.com/Algolzw/FoD
algolzw.github.io/fod/
Forward-only Diffusion Probabilistic Models.
arxiv.org/abs/2505.16733
github.com/Algolzw/FoD
algolzw.github.io/fod/
I've been trying to properly understand how/why DINOv2 works, and I think this is a good sequence of papers to read for that:
(BYOL) Bootstrap Your Own Latent: A New Approach to Self-Supervised Learning (NeurIPS 2020)
(DINO) Emerging Properties in Self-Supervised Vision Transformers (ICCV 2021)
(BYOL) Bootstrap Your Own Latent: A New Approach to Self-Supervised Learning (NeurIPS 2020)
(DINO) Emerging Properties in Self-Supervised Vision Transformers (ICCV 2021)
March 23, 2025 at 3:21 PM
I've been trying to properly understand how/why DINOv2 works, and I think this is a good sequence of papers to read for that:
(BYOL) Bootstrap Your Own Latent: A New Approach to Self-Supervised Learning (NeurIPS 2020)
(DINO) Emerging Properties in Self-Supervised Vision Transformers (ICCV 2021)
(BYOL) Bootstrap Your Own Latent: A New Approach to Self-Supervised Learning (NeurIPS 2020)
(DINO) Emerging Properties in Self-Supervised Vision Transformers (ICCV 2021)
I really didn't like the ICML review template though, why do we have to make things overly complicated? Please just give me some variation of Summary, Strenghts, Weaknesses, Questions, Detailed comments and Justification of rating!
March 14, 2025 at 1:20 PM
I really didn't like the ICML review template though, why do we have to make things overly complicated? Please just give me some variation of Summary, Strenghts, Weaknesses, Questions, Detailed comments and Justification of rating!
Finished my 5 #ICML reviews, and realized that I now have passed 100 reviewed papers in total during my career. Actually feels like a pretty cool milestone!
March 14, 2025 at 1:12 PM
Finished my 5 #ICML reviews, and realized that I now have passed 100 reviewed papers in total during my career. Actually feels like a pretty cool milestone!
First time I'm reviewing for MIDL. Quite interetsing papers overall, and I like the review template.
But, 8 pages in this template seems too short. Not enough space to actually do things properly (e.g., explain the method in detail ~and~ have an extensive experimental evaluation).
But, 8 pages in this template seems too short. Not enough space to actually do things properly (e.g., explain the method in detail ~and~ have an extensive experimental evaluation).
February 22, 2025 at 9:41 AM
First time I'm reviewing for MIDL. Quite interetsing papers overall, and I like the review template.
But, 8 pages in this template seems too short. Not enough space to actually do things properly (e.g., explain the method in detail ~and~ have an extensive experimental evaluation).
But, 8 pages in this template seems too short. Not enough space to actually do things properly (e.g., explain the method in detail ~and~ have an extensive experimental evaluation).
My year of reading in 2024: www.fregu856.com/post/year_of...
I read 99 papers in 2024. Complete list: github.com/fregu856/pap...
Top 15 favorite papers that I found particularly interesting and/or well-written (in alphabetical order):
I read 99 papers in 2024. Complete list: github.com/fregu856/pap...
Top 15 favorite papers that I found particularly interesting and/or well-written (in alphabetical order):
January 4, 2025 at 7:04 AM
My year of reading in 2024: www.fregu856.com/post/year_of...
I read 99 papers in 2024. Complete list: github.com/fregu856/pap...
Top 15 favorite papers that I found particularly interesting and/or well-written (in alphabetical order):
I read 99 papers in 2024. Complete list: github.com/fregu856/pap...
Top 15 favorite papers that I found particularly interesting and/or well-written (in alphabetical order):
Recent preprint: Evaluating Deep Regression Models for WSI-Based Gene-Expression Prediction.
arxiv.org/abs/2410.00945
arxiv.org/abs/2410.00945
November 30, 2024 at 6:28 AM
Recent preprint: Evaluating Deep Regression Models for WSI-Based Gene-Expression Prediction.
arxiv.org/abs/2410.00945
arxiv.org/abs/2410.00945
Recent preprint: Evaluating Computational Pathology Foundation Models for Prostate Cancer Grading under Distribution Shifts
arxiv.org/abs/2410.06723
arxiv.org/abs/2410.06723
November 30, 2024 at 6:27 AM
Recent preprint: Evaluating Computational Pathology Foundation Models for Prostate Cancer Grading under Distribution Shifts
arxiv.org/abs/2410.06723
arxiv.org/abs/2410.06723