Saved in:
| Main Author: | De, Aditi |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2604.14332 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Symmetric Equilibrium Propagation for Thermodynamic Diffusion Training
by: De, Aditi
Published: (2026)
by: De, Aditi
Published: (2026)
Thermodynamic Focusing for Inference-Time Search: Practical Methods for Target-Conditioned Sampling and Prompted Inference
by: Zhang, Zhan
Published: (2025)
by: Zhang, Zhan
Published: (2025)
Broadband Ground Motion Synthesis by Diffusion Model with Minimal Condition
by: Jung, Jaeheun, et al.
Published: (2024)
by: Jung, Jaeheun, et al.
Published: (2024)
ConDiSim: Conditional Diffusion Models for Simulation Based Inference
by: Nautiyal, Mayank, et al.
Published: (2025)
by: Nautiyal, Mayank, et al.
Published: (2025)
Mode-Conditioning Unlocks Superior Test-Time Scaling
by: Wu, Chen Henry, et al.
Published: (2025)
by: Wu, Chen Henry, et al.
Published: (2025)
The Minimal Search Space for Conditional Causal Bandits
by: Simoes, Francisco N. F. Q., et al.
Published: (2025)
by: Simoes, Francisco N. F. Q., et al.
Published: (2025)
Semantically-Guided Inference for Conditional Diffusion Models: Enhancing Covariate Consistency in Time Series Forecasting
by: Ding, Rui, et al.
Published: (2025)
by: Ding, Rui, et al.
Published: (2025)
Quantifying Epistemic Uncertainty in Diffusion Models
by: Gupta, Aditi, et al.
Published: (2026)
by: Gupta, Aditi, et al.
Published: (2026)
S2D: Selective Spectral Decay for Quantization-Friendly Conditioning of Neural Activations
by: Chavan, Arnav, et al.
Published: (2026)
by: Chavan, Arnav, et al.
Published: (2026)
Evolvable Conditional Diffusion
by: Wei, Zhao, et al.
Published: (2025)
by: Wei, Zhao, et al.
Published: (2025)
MPC-Minimized Secure LLM Inference
by: Rathee, Deevashwer, et al.
Published: (2024)
by: Rathee, Deevashwer, et al.
Published: (2024)
EquiReg: Equivariance Regularized Diffusion for Inverse Problems
by: Tolooshams, Bahareh, et al.
Published: (2025)
by: Tolooshams, Bahareh, et al.
Published: (2025)
Hierarchical Sparse Plus Low Rank Compression of LLM
by: Kumar, Pawan, et al.
Published: (2025)
by: Kumar, Pawan, et al.
Published: (2025)
Hyperparameter Trajectory Inference with Conditional Lagrangian Optimal Transport
by: Amad, Harry, et al.
Published: (2026)
by: Amad, Harry, et al.
Published: (2026)
Airfoil Diffusion: Denoising Diffusion Model For Conditional Airfoil Generation
by: Graves, Reid, et al.
Published: (2024)
by: Graves, Reid, et al.
Published: (2024)
Progressive Inference-Time Annealing of Diffusion Models for Sampling from Boltzmann Densities
by: Akhound-Sadegh, Tara, et al.
Published: (2025)
by: Akhound-Sadegh, Tara, et al.
Published: (2025)
Learning to Condition: A Neural Heuristic for Scalable MPE Inference
by: Malhotra, Brij, et al.
Published: (2025)
by: Malhotra, Brij, et al.
Published: (2025)
Masked Diffusion Models as Energy Minimization
by: Chen, Sitong, et al.
Published: (2025)
by: Chen, Sitong, et al.
Published: (2025)
Towards Undistillable Models by Minimizing Conditional Mutual Information
by: Ye, Linfeng, et al.
Published: (2025)
by: Ye, Linfeng, et al.
Published: (2025)
Minimal and Mechanistic Conditions for Behavioral Self-Awareness in LLMs
by: Bozoukov, Matthew, et al.
Published: (2025)
by: Bozoukov, Matthew, et al.
Published: (2025)
Predict-then-Diffuse: Adaptive Response Length for Compute-Budgeted Inference in Diffusion LLMs
by: Rottoli, Michael, et al.
Published: (2026)
by: Rottoli, Michael, et al.
Published: (2026)
Role-Aware Conditional Inference for Spatiotemporal Ecosystem Carbon Flux Prediction
by: Sun, Yiming, et al.
Published: (2026)
by: Sun, Yiming, et al.
Published: (2026)
Membership Inference Attacks on Discrete Diffusion Language Models
by: Kasivelrajan, Shailesh
Published: (2026)
by: Kasivelrajan, Shailesh
Published: (2026)
Inference Attacks Against Graph Generative Diffusion Models
by: Wang, Xiuling, et al.
Published: (2026)
by: Wang, Xiuling, et al.
Published: (2026)
Dynamic Search for Inference-Time Alignment in Diffusion Models
by: Li, Xiner, et al.
Published: (2025)
by: Li, Xiner, et al.
Published: (2025)
Simple Self-Conditioning Adaptation for Masked Diffusion Models
by: Cardei, Michael, et al.
Published: (2026)
by: Cardei, Michael, et al.
Published: (2026)
Filling the Missings: Spatiotemporal Data Imputation by Conditional Diffusion
by: He, Wenying, et al.
Published: (2025)
by: He, Wenying, et al.
Published: (2025)
Adding Conditional Control to Diffusion Models with Reinforcement Learning
by: Zhao, Yulai, et al.
Published: (2024)
by: Zhao, Yulai, et al.
Published: (2024)
Discrete Modeling via Boundary Conditional Diffusion Processes
by: Gu, Yuxuan, et al.
Published: (2024)
by: Gu, Yuxuan, et al.
Published: (2024)
Diffusion LLMs Can Do Faster-Than-AR Inference via Discrete Diffusion Forcing
by: Wang, Xu, et al.
Published: (2025)
by: Wang, Xu, et al.
Published: (2025)
DARE: Diffusion Language Model Activation Reuse for Efficient Inference
by: Frumkin, Natalia, et al.
Published: (2026)
by: Frumkin, Natalia, et al.
Published: (2026)
Adaptive Inference-Time Scaling via Cyclic Diffusion Search
by: Lee, Gyubin, et al.
Published: (2025)
by: Lee, Gyubin, et al.
Published: (2025)
Encoder-Decoder Diffusion Language Models for Efficient Training and Inference
by: Arriola, Marianne, et al.
Published: (2025)
by: Arriola, Marianne, et al.
Published: (2025)
Inference-Time Alignment of Diffusion Models with Direct Noise Optimization
by: Tang, Zhiwei, et al.
Published: (2024)
by: Tang, Zhiwei, et al.
Published: (2024)
Improved Sample Complexity For Diffusion Model Training Without Empirical Risk Minimizer Access
by: Gaur, Mudit, et al.
Published: (2025)
by: Gaur, Mudit, et al.
Published: (2025)
Pareto-Conditioned Diffusion Models for Offline Multi-Objective Optimization
by: Shrestha, Jatan, et al.
Published: (2026)
by: Shrestha, Jatan, et al.
Published: (2026)
Inference Time Debiasing Concepts in Diffusion Models
by: Kupssinskü, Lucas S., et al.
Published: (2025)
by: Kupssinskü, Lucas S., et al.
Published: (2025)
Reliable Trajectory Prediction and Uncertainty Quantification with Conditioned Diffusion Models
by: Neumeier, Marion, et al.
Published: (2024)
by: Neumeier, Marion, et al.
Published: (2024)
Random Conditioning with Distillation for Data-Efficient Diffusion Model Compression
by: Kim, Dohyun, et al.
Published: (2025)
by: Kim, Dohyun, et al.
Published: (2025)
LSCD: Lomb-Scargle Conditioned Diffusion for Time series Imputation
by: Fons, Elizabeth, et al.
Published: (2025)
by: Fons, Elizabeth, et al.
Published: (2025)
Similar Items
-
Symmetric Equilibrium Propagation for Thermodynamic Diffusion Training
by: De, Aditi
Published: (2026) -
Thermodynamic Focusing for Inference-Time Search: Practical Methods for Target-Conditioned Sampling and Prompted Inference
by: Zhang, Zhan
Published: (2025) -
Broadband Ground Motion Synthesis by Diffusion Model with Minimal Condition
by: Jung, Jaeheun, et al.
Published: (2024) -
ConDiSim: Conditional Diffusion Models for Simulation Based Inference
by: Nautiyal, Mayank, et al.
Published: (2025) -
Mode-Conditioning Unlocks Superior Test-Time Scaling
by: Wu, Chen Henry, et al.
Published: (2025)