“Variational autoencoders (VAEs) are known as image generation models, but can also be used for 'image correction tasks' such as inpainting and noise removal.”

“DMSAEs run an iterative distillation cycle: train a Matryoshka SAE with a shared core, use gradient X activation to measure each feature's contribution to next-token loss in the most nested reconstruction, and keep only the smallest subset that explains a fixed fraction of the attribution.”

“The framework demonstrates potential for retrievals of atmospheric, cloud and surface variables, providing information that can serve as a prior, initial guess, or surrogate for computationally expensive full-physics inversion methods.”

“The model achieves 25.96 dB PSNR and 0.8375 SSIM on the test set, demonstrating its effectiveness in compressing low-resolution video while maintaining good perceptual quality.”

“The best configuration retains (93.0 +/- 0.2)% of reconstructed signal intensity while discarding (97.8 +/- 0.1)% of the image area, with an inference time of approximately 25 ms per frame on a consumer GPU.”

“The approach yields significant improvements in both accuracy and efficiency and, crucially, demonstrates strong cross-domain generalization while preserving the interpretability of chain-of-thought reasoning.”

“sCTs achieved 99% structural similarity and a Frechet inception distance of 1.01 relative to real CTs. Skull segmentation attained an average Dice coefficient of 85% across seven cranial bones, and sutures achieved 80% Dice.”

“The method achieves up to 99.6% safety rate--exceeding full fine-tuning by 7.4 percentage points and approaching RLHF-based methods--while updating only 0.19-0.24% of parameters.”

“”

“EgoReAct achieves remarkably higher realism, spatial consistency, and generation efficiency compared with prior methods, while maintaining strict causality during generation.”

“Mapping the trajectory of the learnt Gaussians onto the image plane gives zero-shot tracking performance comparable to state-of-the-art.”

“LD-DIM achieves consistently improved numerical stability and reconstruction accuracy of both parameter fields and corresponding PDE solutions compared with physics-informed neural networks (PINNs) and physics-embedded variational autoencoder (VAE) baselines, while maintaining sharp discontinuities and reducing sensitivity to initialization.”

“The paper introduces a multi-view latent representation learning framework based on variational autoencoders (VAE) to integrate complementary radiomic features derived from post-contrast T1-weighted (T1Gd) and Fluid-Attenuated Inversion Recovery (FLAIR) magnetic resonance imaging (MRI).”

“Models exposed to such warnings reproduced the flagged content at rates statistically indistinguishable from models given the content directly (76.7% vs. 83.3%).”

“BertsWin achieves a 5.8x acceleration in semantic convergence and a 15-fold reduction in training epochs compared to standard ViT-MAE baselines.”

“The paper demonstrates that only a small fraction of latent features are actively used in each layer, and that the geometric properties of the model's feature manifold vary systematically with different types of deepfake artifacts.”

“”

“Pixio is a self-supervised vision model that extends MAE, and features including patch tokens + class tokens can be easily extracted.”

“demographic bias arises from task-specific mechanisms rather than absolute demographic markers”

“We found that these models consistently underperformed on concepts that stand in contrast to sycophantic behaviors (e.g., politely refusing a request or asserting boundaries) and concepts connected to safety discussions.”

“Conceptually I understand neural networks, back propagation, etc, but I have ZERO experience with Keras, PyTorch, and TensorFlow. And when I read code samples, it seems vastly different than any modeling pipeline based in scikit-learn.”

“The article's context provides the source as ArXiv.”

“The release contains SAEs trained on 3 different sites (residual stream, MLP output and attention output) as well as MLP transcoders (both with and without affine skip connections), for every layer of each of the 10 models in the Gemma 3 family (i.e. sizes 270m, 1b, 4b, 12b and 27b, both the PT and IT versions of each).”

“”

“The paper is available on ArXiv.”

“The article's source is ArXiv.”

“”

“The paper focuses on federated on-device autoencoder denoising.”

“”

“SARMAE is a Masked Autoencoder for SAR representation learning.”

“”

“”

“The paper focuses on characterizing Mamba's selective memory.”

“The study focuses on generating synthetic electrograms using Variational Autoencoders.”

“The research is published on ArXiv.”

“Presented on ArXiv”

“”

“The paper examines superposition, sparse autoencoders, and adversarial vulnerabilities.”

“The research utilizes U-Net autoencoders for interference mitigation.”

“”

“The research is sourced from ArXiv, indicating a pre-print or research paper.”

“The article's context is an ArXiv paper.”

“The research focuses on PAC-Bayes bounds for multivariate linear regression and linear autoencoders.”

“The research focuses on predicted-occupancy grids for vehicle safety applications based on autoencoders and the Random Forest algorithm.”

“JiT (Just image Transformer) does not use VAE and performs flow-matching in pixel space. The model performs better by predicting the real image x (x-pred) rather than the velocity v.”

“”

“The article focuses on scaling up text-to-image latent diffusion models without using a variational autoencoder.”

“The paper likely analyzes compositional alignment in VAR and Diffusion T2I models.”

“”

“”