New #J2C Certification:

Thermodynamically Consistent Latent Dynamics Identification for Parametric Systems

Xiaolong He, Yeonjong Shin, Anthony Gruber, Sohyeon Jung, Kookjin Lee, Youngsoo Choi

https://openreview.net/forum?id=Qy3oLpRzpf

#autoencoders #modeling #dynamics

Tractable Representation Learning with Probabilistic Circuits

Steven Braun, Sahil Sidheekh, Antonio Vergari et al.

Action editor: Andres Masegosa

https://openreview.net/forum?id=h8D75pVKja

#autoencoders #embeddings #embedding

Что нашли внутри Claude, когда заглянули ему в голову Мы привыкли, что нейросети — это «черный ящик»: на входе д...

#Claude #Anthropic #LLM #нейросети #sparse #autoencoders #SAE #искусственный #интеллект #машинное #обучение

Origin | Interest | Match

Superposition as Lossy Compression — Measure with Sparse Autoencoders and Connect to Adversarial ...

Leonard Bereska, Zoe Tzifa-Kratira, Reza Samavi, Stratis Gavves

Action editor: Pin-Yu Chen

https://openreview.net/forum?id=qaNP6o5qvJ

#autoencoders #autoencoder #encode

New #J2C Certification:

Tractable Representation Learning with Probabilistic Circuits

Steven Braun, Sahil Sidheekh, Antonio Vergari et al.

https://openreview.net/forum?id=h8D75pVKja

#autoencoders #embeddings #embedding

An Information-Theoretic Lower Bound on the Generalization Error of Autoencoders

Shyam Venkatasubramanian, Sean Moushegian, Ahmed Aloui, Vahid Tarokh

Action editor: Andreas Kirsch

https://openreview.net/forum?id=0esF0M467w

#autoencoders #entropy #deep

Unveiling Multiple Descents in Unsupervised Autoencoders

Kobi Rahimi, Yehonathan Refael, Tom Tirer, Ofir Lindenbaum

Action editor: Tatiana Likhomanenko

https://openreview.net/forum?id=FqfHDs6unx

#autoencoders #bottleneck #unsupervised

Can Masked Autoencoders Also Listen to Birds?

Lukas Rauch, René Heinrich, Ilyass Moummad, Alexis Joly, Bernhard Sick, Christoph Scholz

Action editor: Chuan Sheng Foo

https://openreview.net/forum?id=GIBWR0Xo2J

#autoencoders #bioacoustic #audio

New #J2C Certification:

Learning multi-modal generative models with permutation-invariant encoders and tighter variationa...

Marcel Hirt, Domenico Campolo, Victoria Leong, Juan-Pablo Ortega

https://openreview.net/forum?id=lM4nHnxGfL

#generative #autoencoders #modality

De comprimir a crear: el viaje secreto de los Autoencoders | Google Developer Groups In-person Event - Esta charla explorará el fascinante recorrido de los autoencoders, una de las arquitecturas más influyentes del deep learning. Partiendo de su estructura esencial —encoder, decoder y...

I'm attending #Google #Developer Groups #GDG #Madrid w/ De comprimir a crear: el viaje secreto de los #Autoencoders on Dec 3. gdg.community.dev/e/mr8tfr/

Prior Learning in Introspective VAEs

Ioannis Athanasiadis, Fredrik Lindsten, Michael Felsberg

Action editor: Søren Hauberg

https://openreview.net/forum?id=u4YDVFodYX

#introvae #adversarial #autoencoders

New #Featured Certification:

An Information-Theoretic Lower Bound on the Generalization Error of Autoencoders

Shyam Venkatasubramanian, Sean Moushegian, Ahmed Aloui, Vahid Tarokh

https://openreview.net/forum?id=0esF0M467w

#autoencoders #entropy #deep

Augmented Invertible Koopman Autoencoder for long-term time series forecasting

Anthony Frion, Lucas Drumetz, Mauro Dalla Mura, Guillaume Tochon, Abdeldjalil AISSA EL BEY

Action editor: William Redman

https://openreview.net/forum?id=o6ukhJLzMQ

#autoencoders #encoder #autoencoder

Latent mixed-effect models for high-dimensional longitudinal data

Priscilla Ong, Manuel Haussmann, Otto Lönnroth, Harri Lähdesmäki

Action editor: Stefan Feuerriegel

https://openreview.net/forum?id=7A96yteeF9

#longitudinal #variational #autoencoders

Hitchhiker's guide on the relation of Energy-Based Models with other generative models, sampling ...

Davide Carbone

Action editor: Alberto Bietti

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

#generative #gans #autoencoders

HyperVQ: MLR-based Vector Quantization in Hyperbolic Space

Nabarun Goswami, Yusuke Mukuta, Tatsuya Harada

Action editor: Aditya Menon

https://openreview.net/forum?id=WgJgIULL9Q

#autoencoders #embeddings #quantization

Nonlinear Reduced Order Modeling Using Convolution Autoencoder for the Quasi-Geostrophic Equation

www.dl.begellhouse.com/journals/558...

#ClimateModeling #Autoencoders #ComputationalFluidDynamics

Nonlinear Reduced Order Modeling Using Convolution Autoencoder for the Quasi-Geostrophic Equation

www.dl.begellhouse.com/journals/558...

#ClimateModeling #Autoencoders #ComputationalFluidDynamics

Nonlinear Reduced Order Modeling Using Convolution Autoencoder for the Quasi-Geostrophic Equation

www.dl.begellhouse.com/journals/558...

#ClimateModeling #Autoencoders #ComputationalFluidDynamics

New #Expert Certification:

Latent mixed-effect models for high-dimensional longitudinal data

Priscilla Ong, Manuel Haussmann, Otto Lönnroth, Harri Lähdesmäki

https://openreview.net/forum?id=7A96yteeF9

#longitudinal #variational #autoencoders

Cutting-Edge Algorithms Promise to Speed Up Therapeutic Discovery in Healthcare | Newswise A review from Xidian University shows that advanced computational algorithms—from neural networks and matrix methods to recommendation engines and text-mining—can reliably predict novel uses for exist...

Cutting-Edge Algorithms Promise to Speed Up Therapeutic Discovery in Healthcare
www.newswise.com/articles/cut...
#computationaldrug #DrugRepurposing #drugdiseaseassociation #pharmacology #PredictiveModeling #neuralnetworkalgorithms #graphconvolutional #Autoencoders

Downstream Task Guided Masking Learning in Masked Autoencoders Using Multi-Level Optimization

Han Guo, Ramtin Hosseini, Ruiyi Zhang et al.

Action editor: Di He

https://openreview.net/forum?id=cFmmaxkD5A

#autoencoders #autoencoder #masking

Rethinking Patch Dependence for Masked Autoencoders

Letian Fu, Long Lian, Renhao Wang et al.

Action editor: Hongsheng Li

https://openreview.net/forum?id=JT2KMuo2BV

#autoencoders #encoder #decoder

We’ll open-source the code soon, stay tuned.

Let’s keep pushing the boundaries of continual learning.

#ICML2025 #MachineLearning #Autoencoders #ContinualLearning

Decomposing The Dark Matter of Sparse Autoencoders

Joshua Engels, Logan Riggs Smith, Max Tegmark

Action editor: Chinmay Hegde

https://openreview.net/forum?id=sXq3Wb3vef

#autoencoders #sparse #dark

Robust Topology Optimization Using Multi-Fidelity Variational Autoencoders

www.dl.begellhouse.com/journals/558...

#TopologyOptimization #Autoencoders #MachineLearning #ComputationalModeling

scMDCL: A Deep Collaborative Contrastive Learning Framework for Matched Single-Cell Multiomics Data Clustering

It enhances information interaction between omics layers to improve clustering efficiency.

#multiomics #single-cell #contrastive_learning #autoencoders

pubs.acs.org/doi/10.1021/...

latent features, implying that their previous success in similar tasks may be attributed to #regularisation effects rather than intrinsic informativeness."

#ML #autoencoders #Overfitting

orig https://fediscience.org/@davdittrich/114180044148130177 3/3

Original post on fediscience.org

When Dimensionality Hurts: The Role of #LLM Embedding Compression for Noisy Regression Tasks d.repec.org/n
"… suggest that the optimal dimensionality is dependent on the signal-to-noise ratio, exposing the necessity of feature compression in high […]

Doubly Robust Conditional VAE via Decoder Calibration: An Implicit KL Annealing Approach

Chuanhui Liu, Xiao Wang

Action editor: Yingzhen Li

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

#autoencoders #variational #vae