Shrink the longest: improving latent space isotropy with symplicial geometry
Fuente:
arXiv
Saved in:
| Main Authors: | Kudriashov, Sergei, Karpik, Olesya, Klyshinsky, Eduard |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
The more polypersonal the better -- a short look on space geometry of fine-tuned layers
by: Kudriashov, Sergei, et al.
Published: (2025)
by: Kudriashov, Sergei, et al.
Published: (2025)
FiMMIA: scaling semantic perturbation-based membership inference across modalities
by: Emelyanov, Anton, et al.
Published: (2025)
by: Emelyanov, Anton, et al.
Published: (2025)
Pay Attention to Attention Distribution: A New Local Lipschitz Bound for Transformers
by: Yudin, Nikolay, et al.
Published: (2025)
by: Yudin, Nikolay, et al.
Published: (2025)
Decoder ensembling for learned latent geometries
by: Syrota, Stas, et al.
Published: (2024)
by: Syrota, Stas, et al.
Published: (2024)
Sequential decoder training for improved latent space dynamics identification
by: Anderson, William, et al.
Published: (2025)
by: Anderson, William, et al.
Published: (2025)
Efficiently improving key weather variables forecasting by performing the guided iterative prediction in latent space
by: Li, Shuangliang, et al.
Published: (2024)
by: Li, Shuangliang, et al.
Published: (2024)
Factorization Regret mediates compositional generalization in latent space
by: Schwarcz, John
Published: (2026)
by: Schwarcz, John
Published: (2026)
Transfer learning under latent space model
by: Fang, Kuangnan, et al.
Published: (2025)
by: Fang, Kuangnan, et al.
Published: (2025)
Mitigating over-exploration in latent space optimization using LES
by: Ronen, Omer, et al.
Published: (2024)
by: Ronen, Omer, et al.
Published: (2024)
Stability analysis of chaotic systems in latent spaces
by: Özalp, Elise, et al.
Published: (2024)
by: Özalp, Elise, et al.
Published: (2024)
Spectral embedding and the latent geometry of multipartite networks
by: Modell, Alexander, et al.
Published: (2022)
by: Modell, Alexander, et al.
Published: (2022)
Does learning the right latent variables necessarily improve in-context learning?
by: Mittal, Sarthak, et al.
Published: (2024)
by: Mittal, Sarthak, et al.
Published: (2024)
Shrinking the Variance: Shrinkage Baselines for Reinforcement Learning with Verifiable Rewards
by: Zeng, Guanning, et al.
Published: (2025)
by: Zeng, Guanning, et al.
Published: (2025)
Shrinking the Giant : Quasi-Weightless Transformers for Low Energy Inference
by: Nag, Shashank, et al.
Published: (2024)
by: Nag, Shashank, et al.
Published: (2024)
Outsourced diffusion sampling: Efficient posterior inference in latent spaces of generative models
by: Venkatraman, Siddarth, et al.
Published: (2025)
by: Venkatraman, Siddarth, et al.
Published: (2025)
A look at adversarial attacks on radio waveforms from discrete latent space
by: Garuso, Attanasia, et al.
Published: (2025)
by: Garuso, Attanasia, et al.
Published: (2025)
Ricci flow regularization in latent spaces for the forward learning of partial differential equations
by: Gracyk, Andrew
Published: (2024)
by: Gracyk, Andrew
Published: (2024)
Unconditional flow-based time series generation with equivariance-regularised latent spaces
by: Reyes, Camilo Carvajal, et al.
Published: (2026)
by: Reyes, Camilo Carvajal, et al.
Published: (2026)
Generative prediction of laser-induced rocket ignition with dynamic latent space representations
by: Zahtila, Tony, et al.
Published: (2026)
by: Zahtila, Tony, et al.
Published: (2026)
LanguaShrink: Reducing Token Overhead with Psycholinguistics
by: Liang, Xuechen, et al.
Published: (2024)
by: Liang, Xuechen, et al.
Published: (2024)
Language steering in latent space to mitigate unintended code-switching
by: Goncharov, Andrey, et al.
Published: (2025)
by: Goncharov, Andrey, et al.
Published: (2025)
Inferring stability properties of chaotic systems on autoencoders' latent spaces
by: Özalp, Elise, et al.
Published: (2024)
by: Özalp, Elise, et al.
Published: (2024)
FedLWS: Federated Learning with Adaptive Layer-wise Weight Shrinking
by: Shi, Changlong, et al.
Published: (2025)
by: Shi, Changlong, et al.
Published: (2025)
STAT: Shrinking Transformers After Training
by: Flynn, Megan, et al.
Published: (2024)
by: Flynn, Megan, et al.
Published: (2024)
Enhancing Adversarial Transferability through Block Stretch and Shrink
by: Liu, Quan, et al.
Published: (2025)
by: Liu, Quan, et al.
Published: (2025)
Data Classification with Dynamically Growing and Shrinking Neural Networks
by: Świderski, Szymon, et al.
Published: (2025)
by: Świderski, Szymon, et al.
Published: (2025)
mLaSDI: Multi-stage latent space dynamics identification
by: Anderson, William, et al.
Published: (2025)
by: Anderson, William, et al.
Published: (2025)
Multimodal hierarchical Variational AutoEncoders with Factor Analysis latent space
by: Guerrero-López, Alejandro, et al.
Published: (2022)
by: Guerrero-López, Alejandro, et al.
Published: (2022)
tLaSDI: Thermodynamics-informed latent space dynamics identification
by: Park, Jun Sur Richard, et al.
Published: (2024)
by: Park, Jun Sur Richard, et al.
Published: (2024)
Variational decomposition autoencoding improves disentanglement of latent representations
by: Ziogas, Ioannis, et al.
Published: (2026)
by: Ziogas, Ioannis, et al.
Published: (2026)
A Diffusion Model to Shrink Proteins While Maintaining Their Function
by: Baron, Ethan, et al.
Published: (2025)
by: Baron, Ethan, et al.
Published: (2025)
ExCP: Extreme LLM Checkpoint Compression via Weight-Momentum Joint Shrinking
by: Li, Wenshuo, et al.
Published: (2024)
by: Li, Wenshuo, et al.
Published: (2024)
EUvsDisinfo: A Dataset for Multilingual Detection of Pro-Kremlin Disinformation in News Articles
by: Leite, João A., et al.
Published: (2024)
by: Leite, João A., et al.
Published: (2024)
Mori-Zwanzig latent space Koopman closure for nonlinear autoencoder
by: Gupta, Priyam, et al.
Published: (2023)
by: Gupta, Priyam, et al.
Published: (2023)
Reorganizing attention-space geometry with expressive attention
by: Gros, Claudius
Published: (2024)
by: Gros, Claudius
Published: (2024)
CBOL-Tuner: Classifier-pruned Bayesian optimization to explore temporally structured latent spaces for particle accelerator tuning
by: Rautela, Mahindra, et al.
Published: (2024)
by: Rautela, Mahindra, et al.
Published: (2024)
An attempt to generate new bridge types from latent space of energy-based model
by: Zhang, Hongjun
Published: (2024)
by: Zhang, Hongjun
Published: (2024)
Unsupervised learning of acquisition variability in structural connectomes via hybrid latent space modeling
by: Rudravaram, Gaurav, et al.
Published: (2026)
by: Rudravaram, Gaurav, et al.
Published: (2026)
Shrinking: Reconstruction of Parameterized Surfaces from Signed Distance Fields
by: Yin, Haotian, et al.
Published: (2024)
by: Yin, Haotian, et al.
Published: (2024)
Ensemble Kalman filter in latent space using a variational autoencoder pair
by: Pasmans, Ivo, et al.
Published: (2025)
by: Pasmans, Ivo, et al.
Published: (2025)
Similar Items
-
The more polypersonal the better -- a short look on space geometry of fine-tuned layers
by: Kudriashov, Sergei, et al.
Published: (2025) -
FiMMIA: scaling semantic perturbation-based membership inference across modalities
by: Emelyanov, Anton, et al.
Published: (2025) -
Pay Attention to Attention Distribution: A New Local Lipschitz Bound for Transformers
by: Yudin, Nikolay, et al.
Published: (2025) -
Decoder ensembling for learned latent geometries
by: Syrota, Stas, et al.
Published: (2024) -
Sequential decoder training for improved latent space dynamics identification
by: Anderson, William, et al.
Published: (2025)