Saved in:
| Main Authors: | Olausson, Theo X., Jazbec, Metod, Wang, Xi, Solar-Lezama, Armando, Naesseth, Christian A., Mandt, Stephan, Nalisnick, Eric |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2604.09921 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Monitoring Risks in Test-Time Adaptation
by: Schirmer, Mona, et al.
Published: (2025)
by: Schirmer, Mona, et al.
Published: (2025)
Early-Exit Neural Networks with Nested Prediction Sets
by: Jazbec, Metod, et al.
Published: (2023)
by: Jazbec, Metod, et al.
Published: (2023)
Generative Uncertainty in Diffusion Models
by: Jazbec, Metod, et al.
Published: (2025)
by: Jazbec, Metod, et al.
Published: (2025)
Efficient and Uncertainty-Aware Diffusion Framework for Offline-to-Online Reinforcement Learning
by: Bui, Ha Manh, et al.
Published: (2026)
by: Bui, Ha Manh, et al.
Published: (2026)
Fast yet Safe: Early-Exiting with Risk Control
by: Jazbec, Metod, et al.
Published: (2024)
by: Jazbec, Metod, et al.
Published: (2024)
Learning Unmasking Policies for Diffusion Language Models
by: Jazbec, Metod, et al.
Published: (2025)
by: Jazbec, Metod, et al.
Published: (2025)
Is Self-Repair a Silver Bullet for Code Generation?
by: Olausson, Theo X., et al.
Published: (2023)
by: Olausson, Theo X., et al.
Published: (2023)
Controlling the Risk of Corrupted Contexts for Language Models via Early-Exiting
by: Wynn, Andrea, et al.
Published: (2025)
by: Wynn, Andrea, et al.
Published: (2025)
The Counterfeit Conundrum: Can Code Language Models Grasp the Nuances of Their Incorrect Generations?
by: Gu, Alex, et al.
Published: (2024)
by: Gu, Alex, et al.
Published: (2024)
LINC: A Neurosymbolic Approach for Logical Reasoning by Combining Language Models with First-Order Logic Provers
by: Olausson, Theo X., et al.
Published: (2023)
by: Olausson, Theo X., et al.
Published: (2023)
Dynamic Mixture-of-Experts for Visual Autoregressive Model
by: Vincenti, Jort, et al.
Published: (2025)
by: Vincenti, Jort, et al.
Published: (2025)
Randomly Sampled Language Reasoning Problems Elucidate Limitations of In-Context Learning
by: Gupta, Kavi, et al.
Published: (2025)
by: Gupta, Kavi, et al.
Published: (2025)
On Continuous Monitoring of Risk Violations under Unknown Shift
by: Timans, Alexander, et al.
Published: (2025)
by: Timans, Alexander, et al.
Published: (2025)
Max-Rank: Efficient Multiple Testing for Conformal Prediction
by: Timans, Alexander, et al.
Published: (2023)
by: Timans, Alexander, et al.
Published: (2023)
Power Term Polynomial Algebra for Boolean Logic
by: Sansone, Emanuele, et al.
Published: (2026)
by: Sansone, Emanuele, et al.
Published: (2026)
Joint Model and Data Sparsification via the Marginal Likelihood
by: Timans, Alexander, et al.
Published: (2026)
by: Timans, Alexander, et al.
Published: (2026)
EnCompass: Enhancing Agent Programming with Search Over Program Execution Paths
by: Li, Zhening, et al.
Published: (2025)
by: Li, Zhening, et al.
Published: (2025)
Towards Fast Stochastic Sampling in Diffusion Generative Models
by: Pandey, Kushagra, et al.
Published: (2024)
by: Pandey, Kushagra, et al.
Published: (2024)
When Do Skills Help Reinforcement Learning? A Theoretical Analysis of Temporal Abstractions
by: Li, Zhening, et al.
Published: (2024)
by: Li, Zhening, et al.
Published: (2024)
SPARLING: Learning Latent Representations with Extremely Sparse Activations
by: Gupta, Kavi, et al.
Published: (2023)
by: Gupta, Kavi, et al.
Published: (2023)
Dynamic Vocabulary Pruning in Early-Exit LLMs
by: Vincenti, Jort, et al.
Published: (2024)
by: Vincenti, Jort, et al.
Published: (2024)
Lossy Image Compression with Conditional Diffusion Models
by: Yang, Ruihan, et al.
Published: (2022)
by: Yang, Ruihan, et al.
Published: (2022)
Are vision language models robust to uncertain inputs?
by: Wang, Xi, et al.
Published: (2025)
by: Wang, Xi, et al.
Published: (2025)
MathDSL: A Domain-Specific Language for Concise Mathematical Solutions Via Program Synthesis
by: Anupam, Sagnik, et al.
Published: (2024)
by: Anupam, Sagnik, et al.
Published: (2024)
An Enigma of Artificial Reason: Investigating the Production-Evaluation Gap in Large Reasoning Models
by: Sun, Mingzhong, et al.
Published: (2026)
by: Sun, Mingzhong, et al.
Published: (2026)
Amortizing Maximum Inner Product Search with Learned Support Functions
by: Olausson, Theo X., et al.
Published: (2026)
by: Olausson, Theo X., et al.
Published: (2026)
Advances in Diffusion-Based Generative Compression
by: Yang, Yibo, et al.
Published: (2026)
by: Yang, Yibo, et al.
Published: (2026)
DuoDiff: Accelerating Diffusion Models with a Dual-Backbone Approach
by: Fernández, Daniel Gallo, et al.
Published: (2024)
by: Fernández, Daniel Gallo, et al.
Published: (2024)
MeMo: Meaningful, Modular Controllers via Noise Injection
by: Tjandrasuwita, Megan, et al.
Published: (2024)
by: Tjandrasuwita, Megan, et al.
Published: (2024)
E-Valuating Classifier Two-Sample Tests
by: Pandeva, Teodora, et al.
Published: (2022)
by: Pandeva, Teodora, et al.
Published: (2022)
Progressive Compression with Universally Quantized Diffusion Models
by: Yang, Yibo, et al.
Published: (2024)
by: Yang, Yibo, et al.
Published: (2024)
Neural Diffusion Models
by: Bartosh, Grigory, et al.
Published: (2023)
by: Bartosh, Grigory, et al.
Published: (2023)
Neural Flow Diffusion Models: Learnable Forward Process for Improved Diffusion Modelling
by: Bartosh, Grigory, et al.
Published: (2024)
by: Bartosh, Grigory, et al.
Published: (2024)
Improving Handshape Representations for Sign Language Processing: A Graph Neural Network Approach
by: Carbo, Alessa, et al.
Published: (2025)
by: Carbo, Alessa, et al.
Published: (2025)
The Myth of Expert Specialization in MoEs: Why Routing Reflects Geometry, Not Necessarily Domain Expertise
by: Wang, Xi, et al.
Published: (2026)
by: Wang, Xi, et al.
Published: (2026)
VLMaterial: Procedural Material Generation with Large Vision-Language Models
by: Li, Beichen, et al.
Published: (2025)
by: Li, Beichen, et al.
Published: (2025)
Practical and Asymptotically Exact Conditional Sampling in Diffusion Models
by: Wu, Luhuan, et al.
Published: (2023)
by: Wu, Luhuan, et al.
Published: (2023)
MimeQA: Towards Socially-Intelligent Nonverbal Foundation Models
by: Li, Hengzhi, et al.
Published: (2025)
by: Li, Hengzhi, et al.
Published: (2025)
Towards Latent Diffusion Suitable For Text
by: Midavaine, Nesta, et al.
Published: (2026)
by: Midavaine, Nesta, et al.
Published: (2026)
Active Learning for Multilingual Fingerspelling Corpora
by: Wang, Shuai, et al.
Published: (2023)
by: Wang, Shuai, et al.
Published: (2023)
Similar Items
-
Monitoring Risks in Test-Time Adaptation
by: Schirmer, Mona, et al.
Published: (2025) -
Early-Exit Neural Networks with Nested Prediction Sets
by: Jazbec, Metod, et al.
Published: (2023) -
Generative Uncertainty in Diffusion Models
by: Jazbec, Metod, et al.
Published: (2025) -
Efficient and Uncertainty-Aware Diffusion Framework for Offline-to-Online Reinforcement Learning
by: Bui, Ha Manh, et al.
Published: (2026) -
Fast yet Safe: Early-Exiting with Risk Control
by: Jazbec, Metod, et al.
Published: (2024)