Saved in:
| Main Authors: | Li, Marvin, Karan, Aayush, Chen, Sitan |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2502.00921 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Critical windows: non-asymptotic theory for feature emergence in diffusion models
by: Li, Marvin, et al.
Published: (2024)
by: Li, Marvin, et al.
Published: (2024)
ReGuidance: A Simple Diffusion Wrapper for Boosting Sample Quality on Hard Inverse Problems
by: Karan, Aayush, et al.
Published: (2025)
by: Karan, Aayush, et al.
Published: (2025)
Unrolled denoising networks provably learn optimal Bayesian inference
by: Karan, Aayush, et al.
Published: (2024)
by: Karan, Aayush, et al.
Published: (2024)
Reasoning with Sampling: Your Base Model is Smarter Than You Think
by: Karan, Aayush, et al.
Published: (2025)
by: Karan, Aayush, et al.
Published: (2025)
Provably learning a multi-head attention layer
by: Chen, Sitan, et al.
Published: (2024)
by: Chen, Sitan, et al.
Published: (2024)
What does guidance do? A fine-grained analysis in a simple setting
by: Chidambaram, Muthu, et al.
Published: (2024)
by: Chidambaram, Muthu, et al.
Published: (2024)
Optimal Inference Schedules for Masked Diffusion Models
by: Chen, Sitan, et al.
Published: (2025)
by: Chen, Sitan, et al.
Published: (2025)
When does a predictor know its own loss?
by: Gollakota, Aravind, et al.
Published: (2025)
by: Gollakota, Aravind, et al.
Published: (2025)
A simple mean field model of feature learning
by: Göring, Niclas, et al.
Published: (2025)
by: Göring, Niclas, et al.
Published: (2025)
Gradient dynamics for low-rank fine-tuning beyond kernels
by: Dayi, Arif Kerem, et al.
Published: (2024)
by: Dayi, Arif Kerem, et al.
Published: (2024)
High-accuracy and dimension-free sampling with diffusions
by: Gatmiry, Khashayar, et al.
Published: (2026)
by: Gatmiry, Khashayar, et al.
Published: (2026)
Efficient Pauli channel estimation with logarithmic quantum memory
by: Chen, Sitan, et al.
Published: (2023)
by: Chen, Sitan, et al.
Published: (2023)
Learning general Gaussian mixtures with efficient score matching
by: Chen, Sitan, et al.
Published: (2024)
by: Chen, Sitan, et al.
Published: (2024)
An optimal tradeoff between entanglement and copy complexity for state tomography
by: Chen, Sitan, et al.
Published: (2024)
by: Chen, Sitan, et al.
Published: (2024)
Optimal high-precision shadow estimation
by: Chen, Sitan, et al.
Published: (2024)
by: Chen, Sitan, et al.
Published: (2024)
Robust Amortized Bayesian Inference with Self-Consistency Losses on Unlabeled Data
by: Mishra, Aayush, et al.
Published: (2025)
by: Mishra, Aayush, et al.
Published: (2025)
Adaptivity can help exponentially for shadow tomography
by: Chen, Sitan, et al.
Published: (2024)
by: Chen, Sitan, et al.
Published: (2024)
Faster Diffusion Sampling with Randomized Midpoints: Sequential and Parallel
by: Gupta, Shivam, et al.
Published: (2024)
by: Gupta, Shivam, et al.
Published: (2024)
A Hands-free Spatial Selection and Interaction Technique using Gaze and Blink Input with Blink Prediction for Extended Reality
by: Rolff, Tim, et al.
Published: (2025)
by: Rolff, Tim, et al.
Published: (2025)
There is more to graphs than meets the eye: Learning universal features with self-supervision
by: Das, Laya, et al.
Published: (2023)
by: Das, Laya, et al.
Published: (2023)
Train for the Worst, Plan for the Best: Understanding Token Ordering in Masked Diffusions
by: Kim, Jaeyeon, et al.
Published: (2025)
by: Kim, Jaeyeon, et al.
Published: (2025)
Detecting Blinks in Healthy and Parkinson's EEG: A Deep Learning Perspective
by: Lensky, Artem, et al.
Published: (2025)
by: Lensky, Artem, et al.
Published: (2025)
S4S: Solving for a Diffusion Model Solver
by: Frankel, Eric, et al.
Published: (2025)
by: Frankel, Eric, et al.
Published: (2025)
Assessing the Impact of Upselling in Online Fantasy Sports
by: Chaudhary, Aayush
Published: (2024)
by: Chaudhary, Aayush
Published: (2024)
Stop Training for the Worst: Progressive Unmasking Accelerates Masked Diffusion Training
by: Kim, Jaeyeon, et al.
Published: (2026)
by: Kim, Jaeyeon, et al.
Published: (2026)
Selective Underfitting in Diffusion Models
by: Song, Kiwhan, et al.
Published: (2025)
by: Song, Kiwhan, et al.
Published: (2025)
ODD: Overlap-aware Estimation of Model Performance under Distribution Shift
by: Mishra, Aayush, et al.
Published: (2025)
by: Mishra, Aayush, et al.
Published: (2025)
Information-Computation Gaps in Quantum Learning via Low-Degree Likelihood
by: Chen, Sitan, et al.
Published: (2025)
by: Chen, Sitan, et al.
Published: (2025)
Stabilizer bootstrapping: A recipe for efficient agnostic tomography and magic estimation
by: Chen, Sitan, et al.
Published: (2024)
by: Chen, Sitan, et al.
Published: (2024)
Energy Efficient Protein Language Models: Leveraging Small Language Models with LoRA for Controllable Protein Generation
by: Shah, Aayush, et al.
Published: (2024)
by: Shah, Aayush, et al.
Published: (2024)
Spherical Boltzmann machines: a solvable theory of learning and generation in energy-based models
by: Tulinski, Thomas, et al.
Published: (2026)
by: Tulinski, Thomas, et al.
Published: (2026)
Modeling stochastic eye tracking data: A comparison of quantum generative adversarial networks and Markov models
by: Bhandari, Shailendra, et al.
Published: (2024)
by: Bhandari, Shailendra, et al.
Published: (2024)
Computation-Utility-Privacy Tradeoffs in Bayesian Estimation
by: Chen, Sitan, et al.
Published: (2026)
by: Chen, Sitan, et al.
Published: (2026)
Don't trust your eyes: on the (un)reliability of feature visualizations
by: Geirhos, Robert, et al.
Published: (2023)
by: Geirhos, Robert, et al.
Published: (2023)
Sublinear iterations can suffice even for DDPMs
by: Zhang, Matthew S., et al.
Published: (2025)
by: Zhang, Matthew S., et al.
Published: (2025)
Global Plane Waves From Local Gaussians: Periodic Charge Densities in a Blink
by: Elsborg, Jonas, et al.
Published: (2026)
by: Elsborg, Jonas, et al.
Published: (2026)
Decorrelated feature importance from local sample weighting
by: Fröhlich, Benedikt, et al.
Published: (2025)
by: Fröhlich, Benedikt, et al.
Published: (2025)
Towards Harnessing the Power of LLMs for ABAC Policy Mining
by: Babasaheb, More Aayush, et al.
Published: (2025)
by: Babasaheb, More Aayush, et al.
Published: (2025)
Sample-Optimal Agnostic Boosting with Unlabeled Data
by: Ghai, Udaya, et al.
Published: (2025)
by: Ghai, Udaya, et al.
Published: (2025)
A solvable model of learning generative diffusion: theory and insights
by: Cui, Hugo, et al.
Published: (2025)
by: Cui, Hugo, et al.
Published: (2025)
Similar Items
-
Critical windows: non-asymptotic theory for feature emergence in diffusion models
by: Li, Marvin, et al.
Published: (2024) -
ReGuidance: A Simple Diffusion Wrapper for Boosting Sample Quality on Hard Inverse Problems
by: Karan, Aayush, et al.
Published: (2025) -
Unrolled denoising networks provably learn optimal Bayesian inference
by: Karan, Aayush, et al.
Published: (2024) -
Reasoning with Sampling: Your Base Model is Smarter Than You Think
by: Karan, Aayush, et al.
Published: (2025) -
Provably learning a multi-head attention layer
by: Chen, Sitan, et al.
Published: (2024)