Latest posts tagged with #autoencoders on Bluesky
CEPAE: Conditional Entropy-Penalized Autoencoders for Time Series Counterfactuals
Tomas Garriga, Gerard Sanz, Eduard Serrahima de Cambra, Axel Brando
Action editor: Fredrik Johansson
https://openreview.net/forum?id=X6lrzqOtQo
#autoencoders #counterfactuals #counterfactual
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
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
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
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 […]
