#autoencoder resultados de búsqueda

A Deep Bayesian Nonparametric Framework for Robust Mutual Information Estimation openreview.net/forum?id=mqGzG… #regularization #nonparametric #autoencoder

Learning Encoding-Decoding Direction Pairs to Unveil Concepts of Influence in Deep Vision Networks openreview.net/forum?id=lIeyZ… #embeddings #autoencoder #decoding

Attention Schema-based Attention Control (ASAC): A Cognitive-Inspired Approach for Attention Management in Transformers openreview.net/forum?id=cxRlo… #attention #autoencoder #neural

Learning the Language of Protein Structure Jérémie DONA, Benoit Gaujac, Timothy Atkinson, Liviu Copoiu, Thomas Pierrot, Thomas D Barrett. Action editor: Lingpeng Kong. openreview.net/forum?id=SRRPQ… #proteins #autoencoder #representations

PredLDM: Spatiotemporal Sequence Prediction with Latent Diffusion Models openreview.net/forum?id=TWmnO… #autoencoder #spatiotemporal #predicting

Automated Attention Pattern Discovery at Scale in Large Language Models openreview.net/forum?id=KpsUN… #attention #predicts #autoencoder

'Autoencoders in Function Space', by Justin Bunker, Mark Girolami, Hefin Lambley, Andrew M. Stuart, T. J. Sullivan. jmlr.org/papers/v26/25-… #autoencoders #autoencoder #generative

Amazing paper:"Arousal as a universal embedding for spatiotemporal brain dynamics"🧠🐁 𒅒𒈔 nature.com/articles/s4158… you can even find the #autoencoder based code: github.com/ryraut/arousal… but dear #Brain people🧠, why do you find cool brain dynamics, state trajectories, embedding?

Emergence of Quantised Representations Isolated to Anisotropic Functions openreview.net/forum?id=aokVp… #representations #representational #autoencoder

STLDM: Spatio-Temporal Latent Diffusion Model for Precipitation Nowcasting openreview.net/forum?id=f4oJw… #autoencoder #precipitation #prediction

Semi-Symmetrical, Fully Convolutional Masked #Autoencoder for TBM Muck #ImageSegmentation ✏️ Ke Lei et al. 🔗 brnw.ch/21wVdRA Viewed: 2021; Cited: 10 #mdpisymmetry #selfsupervised #instancesegmentation

TimeAutoDiff: A Unified Framework for Generation, Imputation, Forecasting, and Time-Varying Metadata Conditioning of Heterogeneous Time Series Tabular Data openreview.net/forum?id=bkUd1… #autoencoder #timeautodiff #temporal

Revisiting Discover-then-Name Concept Bottleneck Models: A Reproducibility Study Freek Byrman, Emma Kasteleyn, Bart Kuipers, Daniel Uyterlinde. Action editor: Sungsoo Ahn. openreview.net/forum?id=946cT… #autoencoder #deep #bottleneck

🔥 Read our Paper 📚 Anomaly Detection through Grouping of SMD Machine Sounds Using Hierarchical Clustering 🔗 mdpi.com/2076-3417/13/1… 👨‍🔬 by Young Jong Song et al. #anomalydetection #autoencoder

Autoencoder ensembles compress high-dimensional climate data into latent states, enabling faster scenario sampling for extreme-event risk analysis. #Autoencoder #Risk

🔬Excited to share the publication "Using Fused Data from Perimetry and Optical Coherence Tomography to Improve the Detection of Visual Field Progression in Glaucoma"👉mdpi.com/2306-5354/11/3… #autoencoder #data_fusion #glaucoma #progression #OCT #perimetry #visual_field

Day 16 of my summer fundamentals series: Built an Autoencoder from scratch in NumPy. Learns compressed representations by reconstructing inputs. Encoder reduces, decoder rebuilds. Unsupervised and powerful for denoising, compression, and more. #MLfromScratch #Autoencoder #DL

Postdoc @magnussonrasmu1 is presenting #autoencoder for identifying disease modules

w00t best #sparse #autoencoder for the #AI so far \o/ I kinda maxed out the reconstruction quality @ 97% cossim. I can stop optimizing this ball of mathematmadness now. 😅 Tied encoder / decoder weights + extra training on #CLIP's "hallucinwacky ooooowords" ('opinions'). 😂

Thanks for the en-/discouragement, #GPT4o 😂 Now #sparse #autoencoder #2 learns to be a #babelfish, translating #logits to #token sequences.🤯 It could help decode a sparse #CLIP embedding, it could help decode a gradient ascent #CLIP #opinion! God luck & good speed, #SAE ✊😬

YUSS new trained #sparse #autoencoder has FOUND THE TEXT OBSESSION in #CLIP #AI!🥳🤩 Only 1 smol problem..🤣 It's not just *ONE* typographic cluster.🤯 Left: 3293 encodes CLIP neurons for English, probably EN text signs. Right: 2052 encodes East Asian + German + Mirrored. 👇🧵

Amazing paper:"Arousal as a universal embedding for spatiotemporal brain dynamics"🧠🐁 𒅒𒈔 nature.com/articles/s4158… you can even find the #autoencoder based code: github.com/ryraut/arousal… but dear #Brain people🧠, why do you find cool brain dynamics, state trajectories, embedding?

Fun with #CLIP's #sparse #autoencoder: First glimpse, I thought [Act idx 20] was encoding "sports / tennis". But that's not the shared feature. It's a "people wearing a thing around their head that makes them look stupid" feature. 🤣😂 #lmao #AI #AIweirdness

#CLIP 'looking at' (gradient ascent) a fake image (#sparse #autoencoder idx 3293 one-hot vision transformer (!) embedding). Has vibes similar to #AI's adverb neuron.🤓😂 🤖: pls aha ... 🤖: go aha ... hey lis carley ... 🤖: go morro ... thanks morro dealt ... go thub ... ... .

Reconstructed #sparse #autoencoder embeddings vs. #CLIP's original text embedding #AI self-made 'opinion'. For simple emoji black-on-white input image. Model inversion thereof: #SAE wins. Plus, CLIP was also 'thinking' of A TEXT (symbols, letters) when 'seeing' this image.🤗🙃

Testing #sparse #autoencoder trained on #CLIP with #COCO 40k (normal (human) labels, e.g. "a cat sitting on the couch"). Yes, #SAE can generalize to CLIP's self-made #AI-opinion gradient ascent embeds.🤩 Cat getting teabagged may be legit "nearby concept" in context.😘😂 #AIart

These = guidance with text embeddings #CLIP made (gradient ascent) while looking at an image of one of its own neurons, which it found to be "hallucinhorrifying trippy machinelearning" -> passed through trained-on-CLIP #sparse #autoencoder (nuke T5) -> guidance. #AIart #Flux1

Time to train a good #sparse #autoencoder config on the real stuff (residual stream). I guess the current #SAE was too sparse for this level of complexity. And now it takes a 'non-insignificant' amount of time to train one, too, ouch!🙃 Sparsity: 0.96887 Dead Neurons Count: 0

高積算高s/nのMRS dataで学習させたStacked Autoencoderを用い、MRS積算回数をごく少なくしても充分評価に耐えるspectraを生成する用意したというpreprint ヒト脳の低積算画像では，SNRが43.8％増加し，MSEが68.8％減少し、定量性は保たれた #MRS #autoencoder #papers arxiv.org/abs/2303.16503…

Excited to have presented my poster at CVIP 2024! It was a valuable experience to share my work and connect with the research community. #cvip2024 #ArtificialIntelligence #autoencoder #isro

A Latent Diffusion Model for Protein Structure Generation openreview.net/forum?id=8zzje… #autoencoder #proteins #biomolecules

🖼️🖼️ #Hyperspectral Data #Compression Using Fully Convolutional #Autoencoder ✍️ Riccardo La Grassa et al. 🔗 brnw.ch/21wPykC

🖐️🖐️ A Combination of Deep #Autoencoder and Multi-Scale Residual #Network for #Landslide Susceptibility Evaluation ✍️ Zhuolu Wang et al. 🔗 mdpi.com/2072-4292/15/3…

Catch the ‘Using AI/ML to Drive Multi-Omics Data Analysis to New Heights’ webinar tomorrow afternoon. Speaking second is Ibrahim Al-Hurani from @mylakehead, presenting #autoencoder and #GAN approaches for #multiomics. Join us tomorrow: hubs.la/Q02H55cS0

👋👋 Unsupervised #Transformer Boundary #Autoencoder Network for #Hyperspectral Image #Change Detection ✍️ Song Liu et al. 🔗 brnw.ch/21wOvyQ

🤿🤿 A Dual-Branch #Autoencoder Network for #Underwater Low-Light #Polarized #Image Enhancement ✍️ Chang Xue et al. 🔗 mdpi.com/2072-4292/16/7…