Saved in:
| Main Authors: | Lam, Kevin H., Farghly, Tyler, Williams, Christopher, Yang, Jun, Teh, Yee Whye, Doucet, Arnaud |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2605.09654 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Implicit Regularisation in Diffusion Models: An Algorithm-Dependent Generalisation Analysis
by: Farghly, Tyler, et al.
Published: (2025)
by: Farghly, Tyler, et al.
Published: (2025)
Prompting Strategies for Enabling Large Language Models to Infer Causation from Correlation
by: Sgouritsa, Eleni, et al.
Published: (2024)
by: Sgouritsa, Eleni, et al.
Published: (2024)
Generalisation under gradient descent via deterministic PAC-Bayes
by: Clerico, Eugenio, et al.
Published: (2022)
by: Clerico, Eugenio, et al.
Published: (2022)
Rao-Blackwellised Reparameterisation Gradients
by: Lam, Kevin H., et al.
Published: (2025)
by: Lam, Kevin H., et al.
Published: (2025)
L3Ms -- Lagrange Large Language Models
by: Dhillon, Guneet S., et al.
Published: (2024)
by: Dhillon, Guneet S., et al.
Published: (2024)
SymDiff: Equivariant Diffusion via Stochastic Symmetrisation
by: Zhang, Leo, et al.
Published: (2024)
by: Zhang, Leo, et al.
Published: (2024)
Verifier-Backed Hard Problem Generation for Mathematical Reasoning
by: Lai, Yuhang, et al.
Published: (2026)
by: Lai, Yuhang, et al.
Published: (2026)
NoProp: Training Neural Networks without Full Back-propagation or Full Forward-propagation
by: Li, Qinyu, et al.
Published: (2025)
by: Li, Qinyu, et al.
Published: (2025)
Score-Optimal Diffusion Schedules
by: Williams, Christopher, et al.
Published: (2024)
by: Williams, Christopher, et al.
Published: (2024)
Online Adaptation of Language Models with a Memory of Amortized Contexts
by: Tack, Jihoon, et al.
Published: (2024)
by: Tack, Jihoon, et al.
Published: (2024)
The Edge-of-Reach Problem in Offline Model-Based Reinforcement Learning
by: Sims, Anya, et al.
Published: (2024)
by: Sims, Anya, et al.
Published: (2024)
EvIL: Evolution Strategies for Generalisable Imitation Learning
by: Sapora, Silvia, et al.
Published: (2024)
by: Sapora, Silvia, et al.
Published: (2024)
Unleashing the Power of Meta-tuning for Few-shot Generalization Through Sparse Interpolated Experts
by: Chen, Shengzhuang, et al.
Published: (2024)
by: Chen, Shengzhuang, et al.
Published: (2024)
Incorporating Unlabelled Data into Bayesian Neural Networks
by: Sharma, Mrinank, et al.
Published: (2023)
by: Sharma, Mrinank, et al.
Published: (2023)
Simulating Diffusion Bridges with Score Matching
by: Heng, Jeremy, et al.
Published: (2021)
by: Heng, Jeremy, et al.
Published: (2021)
SigmaDock: Untwisting Molecular Docking With Fragment-Based SE(3) Diffusion
by: Prat, Alvaro, et al.
Published: (2025)
by: Prat, Alvaro, et al.
Published: (2025)
Manifold Aware Denoising Score Matching (MAD)
by: Levy-Jurgenson, Alona, et al.
Published: (2026)
by: Levy-Jurgenson, Alona, et al.
Published: (2026)
Diffusion Models and the Manifold Hypothesis: Log-Domain Smoothing is Geometry Adaptive
by: Farghly, Tyler, et al.
Published: (2025)
by: Farghly, Tyler, et al.
Published: (2025)
Revisiting Dynamic Evaluation: Online Adaptation for Large Language Models
by: Rannen-Triki, Amal, et al.
Published: (2024)
by: Rannen-Triki, Amal, et al.
Published: (2024)
Griffin: Mixing Gated Linear Recurrences with Local Attention for Efficient Language Models
by: De, Soham, et al.
Published: (2024)
by: De, Soham, et al.
Published: (2024)
Variational Flow Maps: Make Some Noise for One-Step Conditional Generation
by: Mammadov, Abbas, et al.
Published: (2026)
by: Mammadov, Abbas, et al.
Published: (2026)
Context-Guided Diffusion for Out-of-Distribution Molecular and Protein Design
by: Klarner, Leo, et al.
Published: (2024)
by: Klarner, Leo, et al.
Published: (2024)
Selective Safety Steering via Value-Filtered Decoding
by: Einbinder, Bat-Sheva, et al.
Published: (2026)
by: Einbinder, Bat-Sheva, et al.
Published: (2026)
Internalizing World Models via Self-Play Finetuning for Agentic RL
by: Chen, Shiqi, et al.
Published: (2025)
by: Chen, Shiqi, et al.
Published: (2025)
Stereographic Multiple-Try Metropolis
by: Wang, Zhihao, et al.
Published: (2025)
by: Wang, Zhihao, et al.
Published: (2025)
Extending Epistemic Uncertainty Beyond Parameters Would Assist in Designing Reliable LLMs
by: Nguyen-Hien, T. Duy, et al.
Published: (2025)
by: Nguyen-Hien, T. Duy, et al.
Published: (2025)
SofT-GRPO: Surpassing Discrete-Token LLM Reinforcement Learning via Gumbel-Reparameterized Soft-Thinking Policy Optimization
by: Zheng, Zhi, et al.
Published: (2025)
by: Zheng, Zhi, et al.
Published: (2025)
Meta-Learning Objectives for Preference Optimization
by: Alfano, Carlo, et al.
Published: (2024)
by: Alfano, Carlo, et al.
Published: (2024)
Meta Flow Maps enable scalable reward alignment
by: Potaptchik, Peter, et al.
Published: (2026)
by: Potaptchik, Peter, et al.
Published: (2026)
A Unified Framework for U-Net Design and Analysis
by: Williams, Christopher, et al.
Published: (2023)
by: Williams, Christopher, et al.
Published: (2023)
Accelerated Diffusion Models via Speculative Sampling
by: De Bortoli, Valentin, et al.
Published: (2025)
by: De Bortoli, Valentin, et al.
Published: (2025)
Beyond Real Data: Synthetic Data through the Lens of Regularization
by: Shidani, Amitis, et al.
Published: (2025)
by: Shidani, Amitis, et al.
Published: (2025)
AdamMCMC: Combining Metropolis Adjusted Langevin with Momentum-based Optimization
by: Bieringer, Sebastian, et al.
Published: (2023)
by: Bieringer, Sebastian, et al.
Published: (2023)
Particle Denoising Diffusion Sampler
by: Phillips, Angus, et al.
Published: (2024)
by: Phillips, Angus, et al.
Published: (2024)
Target Score Matching
by: De Bortoli, Valentin, et al.
Published: (2024)
by: De Bortoli, Valentin, et al.
Published: (2024)
Nearly $d$-Linear Convergence Bounds for Diffusion Models via Stochastic Localization
by: Benton, Joe, et al.
Published: (2023)
by: Benton, Joe, et al.
Published: (2023)
Backpropagation-Free Metropolis-Adjusted Langevin Algorithm
by: Cobb, Adam D., et al.
Published: (2025)
by: Cobb, Adam D., et al.
Published: (2025)
Distributional Diffusion Models with Scoring Rules
by: De Bortoli, Valentin, et al.
Published: (2025)
by: De Bortoli, Valentin, et al.
Published: (2025)
Self-Speculative Masked Diffusions
by: Campbell, Andrew, et al.
Published: (2025)
by: Campbell, Andrew, et al.
Published: (2025)
From Denoising Diffusions to Denoising Markov Models
by: Benton, Joe, et al.
Published: (2022)
by: Benton, Joe, et al.
Published: (2022)
Similar Items
-
Implicit Regularisation in Diffusion Models: An Algorithm-Dependent Generalisation Analysis
by: Farghly, Tyler, et al.
Published: (2025) -
Prompting Strategies for Enabling Large Language Models to Infer Causation from Correlation
by: Sgouritsa, Eleni, et al.
Published: (2024) -
Generalisation under gradient descent via deterministic PAC-Bayes
by: Clerico, Eugenio, et al.
Published: (2022) -
Rao-Blackwellised Reparameterisation Gradients
by: Lam, Kevin H., et al.
Published: (2025) -
L3Ms -- Lagrange Large Language Models
by: Dhillon, Guneet S., et al.
Published: (2024)