City of London, London
Joined January 2019
- Tweets178
- Following447
- Followers190
- Likes552
Martin Ferianc retweeted
I can highly recommend applying to @HLForum - I went last year and in 2019 and it was an amazing experience both times.
Applications for young researchers (undergrad, PhD or postdoc students) to attend the 2025 Heidelberg Laureate Forum
@HLForum
are now open. I love interacting with the young researchers there, and I'm hoping to be able to go this year, after not being able attend the last few years.
Links are in my first reply (trying an experiment since it seems posts with outgoing links are being throttled on this platform). ⬇️
Martin Ferianc retweeted
"Large language models surpass human experts in predicting neuroscience results" w @ken_lxl and BrainGPT.org. LLMs integrate a noisy yet interrelated scientific literature to forecast outcomes. nature.com/articles/s41562-0… 1/8
Excited to attend #BMVC2024 in Glasgow 🏴, where I had the opportunity to present our paper: SAE: Single Architecture Ensemble Neural Networks arxiv.org/abs/2402.06580
Our SAE framework enables the exploration of single-architecture ensemble neural network designs, achieving competitive accuracy and confidence calibration while reducing compute operations or parameter count by up to 1.5–3.7×. See github.com/martinferianc/yam…
Martin Ferianc retweeted
Paper alert📢 We report interpretable, uncertainity-optimised deep learning model to predict the printability of formulations. Full link access sciencedirect.com/science/ar…
Martin Ferianc retweeted
A topic I regularly talk about with doctoral students is how to organize a PhD. It can be overwhelming to keep track of all the papers, research ideas, reviews, different collaborations, and so on. So I took some notes on how I organized my PhD: davidstutz.de/N3lPk
I am thrilled to share our latest paper, "Navigating Noise: A Study of How Noise Influences Generalisation and Calibration of Neural Networks openreview.net/forum?id=zn3f…," published in @TmlrOrg, This work is a collective effort by @OBohdal , @tmh31, @mrd_rodrigues and myself :).
Systematic evaluation of noise's impact on neural network performance.
Offers insights for optimizing performance across various settings.
Demonstrates the potential of combining noises for improved domain-specific results.
Martin Ferianc retweeted
"Large language models surpass human experts in predicting neuroscience results" w @ken_lxl and BrainGPT.org. LLMs integrate a noisy yet interrelated scientific literature to forecast outcomes. arxiv.org/abs/2403.03230 1/6
Introducing YAMLE: Yet another machine learning environment 🚀.
Are you tired of reimplementing the same boilerplate code for every new machine learning model, method or project?
It already implements many models, methods, and datasets, so you can quickly compare your new approach to existing ones.
Check out: github.com/martinferianc/yam…
Try YAMLE to streamline the process! It includes a modular design and command-line interface, making it easy to experiment with different models and methods. It also integrates with popular PyTorch-based libraries for training, hyperparameter optimisation, and logging.
Martin Ferianc retweeted
Introducing YAMLE: Yet another machine learning environment 🚀.
Are you tired of reimplementing the same boilerplate code for every new machine learning model, method or project?
Martin Ferianc retweeted
How predictable is neuroscience? Can LLMs outperform humans? Please participate in the BrainGPT.org survey to help us find out. You choose between two versions of a neuro abstract: the original vs. one with altered results. Which is which? research.sc/participant/logi… 1/2
Martin Ferianc retweeted
#IncaseYouMissedIt our amazing PhD student @MartinFerianc recently attended the @HLForum where he presented his research on making #ArtificialIntelligence more practical and trustworthy💭
Watch Martin's presentation and read more about his experience ⬇ t.ly/6stjm
Martin Ferianc retweeted
#InCaseYouMissedIt Check out our latest article on our PhD Student @MartinFerianc and his unforgettable experience at #HLF23 which brings together the most exceptional mathematicians and computer scientists of our generations 🧠
🗣️Our amazing PhD student @MartinFerianc recently attended the @HLForum where he presented his research on making #ArtificialIntelligence more practical and trustworthy💭
Read about Martin's experience at #HLF23, including meeting the inspiring @vgcerf
bit.ly/3tomv9o
Martin Ferianc retweeted
👏 It's great to see our PhD student @MartinFerianc presenting his impactful research at #HLF23 - read about his experience & watch his "poster flash" presentation on his work below ⬇
🗣️Our amazing PhD student @MartinFerianc recently attended the @HLForum where he presented his research on making #ArtificialIntelligence more practical and trustworthy💭
Read about Martin's experience at #HLF23, including meeting the inspiring @vgcerf
bit.ly/3tomv9o
Martin Ferianc retweeted
🗣️Our amazing PhD student @MartinFerianc recently attended the @HLForum where he presented his research on making #ArtificialIntelligence more practical and trustworthy💭
Read about Martin's experience at #HLF23, including meeting the inspiring @vgcerf
bit.ly/3tomv9o