#representationlearning
Working across modalities, domains, or models?

Representation Alignment Compass (zenodo.org/records/2209...) turns a fast-changing method landscape into a stable design map for alignment decisions, comparison, & cumulative learning.

#RepresentationLearning #MachineLearning #AIResearch #AcademicSky
August 25, 2026 at 3:55 PM
#ISMRM 2025 took place this week, and here is a brief recap of our PhD students' presentations.

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#CardiacMRI #ImplicitNeuralRepresentations #RepresentationLearning
May 18, 2025 at 5:22 PM
🧠✨ Join us for LAMINR: Learning and Aligning Manifolds of Single-Neuron Invariances — uncover the geometry of thought through implicit neural representations!

📅 Mon, Jun 16 @ 18:00 CET
🔗 Zoom | PW: 314159
🎙️ Part of the #NeurReps Global Seminar Series
#AI #Neuroscience #RepresentationLearning
June 13, 2025 at 7:48 AM
SGERA aligns ECG signals and clinical reports using Stein-guided latent-space learning, improving zero-shot classification, linear probing, and transfer learning across public ECG datasets. #AI #MachineLearning #ECG #MedicalAI #RepresentationLearning icml.cc/virtual/2026...
ICML Poster SGERA: Stein-Guided ECG-Report Alignment for ECG Representation Learning
Electrocardiogram (ECG) representation learning via ECG-report alignment is often hindered by the inherent structural and statistical divergence between signals and natural language. Existing methods…
icml.cc
July 25, 2026 at 4:58 PM
Recent work published by the #sqIRL Lab on the training of competitive deeper Forward-Forward Networks. #FF #localLearning #ML #RepresentationLearning
The Trifecta: Three simple techniques for training deeper Forward-Forward networks

Thomas Dooms, Ing Jyh Tsang, Jose Oramas

Action editor: Pablo Castro

https://openreview.net/forum?id=a7KP5uo0Fp

#backpropagation #forward #deeper
December 15, 2024 at 4:56 PM
Result 1: By independently modelling each sensor & then fusing them with a #transformer, our approach is not only powerful but also easily extendable to new data sources.

#DeepLearning #GeoAI #SpatioTemporalModelling #representationLearning #FoundationModels
November 18, 2025 at 1:14 PM
In a new study published in The Journal of Finance and Data Science, a team of Australian researchers explored whether graph representation learning could improve the accuracy of match suggestions in these scenarios.
#RepresentationLearning
Details: doi.org/10.1016/j.jfds.2025.100170
November 20, 2025 at 1:01 PM
Geometric link: Convexity may bridge human & machine intelligence
phys.org/news/2025-07...

On convex decision regions in deep network representations
www.nature.com/articles/s41...

Convexity (algebraic geometry)
en.wikipedia.org/wiki/Convexi...

#ML #RepresentationLearning #convexity #DeepLearning
July 2, 2025 at 3:29 PM
Equation: Early+Mid+Late > Last-Layer Only 🧠
Fuse logits+states; rank tokens; verify steps; audit drift; calibrate outputs; cut hallucinations 🛠️ - GLCND.IO
Explore → https://glcnd.io/enhancing-llm-accuracy-by-leveraging-all-layers/
#AI #LLMs #RepresentationLearning
Enhancing LLM Accuracy by Leveraging All Layers - GLCND.IO
glcnd.io
September 18, 2025 at 9:16 AM
After #LunchBreak #FGML2021 will continue with
@laurent_besacie: #SelfSupervised #RepresentationLearning for Pre-training #SpeechSystems
#GérardBiau: Some Theoretical Insights into #Wasserstein #GANs
@KatharinaJutta Morik: Trustworthy #MachineLearning — The #CareLabel Approach
January 17, 2025 at 1:12 PM
TICON: A Slide-Level Tile Contextualizer for Histopathology Representation Learning
Dimitris Samaras, Joel Saltz et al.
Paper
Details
#Histopathology #MedicalImaging #RepresentationLearning
December 26, 2025 at 9:02 AM