ICLR 2026 Past Safety & alignmentDiffusion models
Real‑World Constrained and Preference‑Aligned Flow‑ and Diffusion‑Based Models | ICLR 2026 Workshop
ReALM-GEN 2026 - ICLR 2026 Workshop
- Submission deadline
- Feb 12, 2026, 23:59 AoE (UTC−12) imported from OpenReview — check the website for extensions
- Submission portal
- OpenReview
- Notes
- Auto-imported from the OpenReview venue record on 2026-06-10 — please verify and enrich (topics are keyword-guessed).
Accepted papers (84)
Fetched from OpenReview (v2) on 2026-06-10.
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A Unified Density Operator View of Flow Control and Merging
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A2D2: Finetuning Any-Length Discrete Diffusion for Adaptive Decoding
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Accelerated Sequential Flow Matching: A Bayesian Filtering Perspective
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Accelerating Diffusion Language Models via Inverse Distillation
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Action-Informed Belief via Latent Flow Matching for Memory-Intensive Robotic Tasks
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Activation Steering for Masked Diffusion Language Models
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Adapting Diffusion Policies to Novel Environments via Policy-Steered Optimization
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Adaptive Order Policies for Masked Diffusion
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Aligning Diffusion Language Models via Unpaired Preference Optimization
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AReUReDi: Annealed Rectified Updates for Refining Discrete Flows with Multi-Objective Guidance
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Bad-OOD: Discovering Harmful Synthetic Diffusion Outliers via Confidence Calibration
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BlockGen: Flexible Blockwise Sequence Modeling with Hybrid Samplers
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Categorical Reparameterization with Denoising Diffusion models
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CausalSliders: Graph-Guided LoRA Interventions for Causally Consistent Image Editing
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CMAD: Cooperative Multi-Agent Diffusion via Stochastic Optimal Control
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Constraint-Aware Flow Matching via Randomized Exploration
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Corruption-Aware Training of Latent Video Diffusion Models for Robust Text-to-Video Generation
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CupOFMoCA: Coupled Objective-Guided Discrete Flows for Molecular Conjugate Assembly
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DDNO: Discrete Diffusion Noise Optimization
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Decoupling Tilting from Transport: Stable Online Alignment of Flow and Diffusion Policies
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Di3PO - Diptych Diffusion DPO for Targeted Improvements in Image
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Diamond Maps: Efficient Reward Alignment via Stochastic Flow Maps
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DiffAntiSeq: Target-Steered Diffusion in Latent Sequence Space for Antibody Library Design
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Diffuse and Steer: Corrective Sampling for Stable 3D Molecular Diffusion
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Diffusion Alignment Beyond KL: Variance Minimisation as Effective Policy Optimiser
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Diffusion Policy Optimization without Drifting Apart
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Diffusion Priors for Lightweight Personal- ized Image Generation
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Diffusion-Driven Latent Guided Sampling for Neural Combinatorial Optimization
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Discrete Diffusion Inference-Time Control With Nested Sequential Monte Carlo
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Disentangled Compositional Diffusion for Controllable Scientific Data Generation
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Divide-and-Denoise: A Game-Theoretic Method for Fairly Composing Diffusion Models
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Efficient Tail-Aware Generative Optimization via Flow Model Fine-Tuning
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Energy-Guided Diffusion for Valid SMILES Generation
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Enhancing Reasoning for Diffusion LLMs via Distribution Matching Policy Optimization
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EntRGi: Entropy Aware Reward Guidance for Diffusion Language Models
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Flexible Locomotion Learning with Diffusion Model Predictive Control
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Flow-Factory: A unified framework for easy reinforcement learning in Flow-Matching models
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From Diffusion to Flow: Efficient Motion Generation in MotionGPT3
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From Noise to Control: Parameterized Diffusion Policies
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Full-length mRNA Design with Reward-Guided Masked Diffusion Model Fine-Tuning
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Function-Space Decoupled Diffusion for Forward and Inverse Modeling in Carbon Capture and Storage
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Generative Control as Optimization: Time Unconditional Flow Matching for Adaptive and Robust Robotic Control
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GlyphFashion: Fine-Grained Text-Aware Fashion Image Editing via Diffusion Models
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Guess & Guide: Gradient-Free Zero-Shot Diffusion Guidance
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Guidance Is Not a Hyperparameter: Learning Dynamic Control in Diffusion Language Models
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Guided Star-Shaped Masked Diffusion
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Guided Transfer Learning for Discrete Diffusion Models
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Hamiltonian-Guided Diffusion Fields for Variable-Length Rigid-Arm Trajectory Generation
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HardFlow: Hard-Constrained Sampling for Flow-Matching Models via Trajectory Optimization
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Imitation from Observations with Trajectory-Level Generative Embeddings
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Inference-Time Attribute Distribution Alignment for Unconditional Diffusion
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Inference-Time CLIP Embedding Manipulation for Compositional Text-to-Image Alignment
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Learning Illumination Control in Diffusion Models
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LieFlower: Controlling Target Protein Dynamics via Lie-Guided Discrete Flows
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MacroGuide: Topological Guidance for Macrocycle Generation
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Minimal-Action Discrete Schrödinger Bridge Matching for Peptide Sequence Design
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MMD Guidance: Training-Free Distribution Adaptation for Diffusion Models via Maximum Mean Discrepancy Guidance
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MolHIT: Advancing Molecular-Graph Generation with Hierarchical Discrete Diffusion Models
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MOOSE: Targeted Small Molecule Generation via Multi-Objective-Guided Discrete Diffusion
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Optimizing Remasking Schedules for Reasoning in Discrete Diffusion Models
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pCoMole: Pareto-Constrained Molecule Editing with Discrete Flows
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Protein generation with embedding learning for motif diversification
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Q-Sched: Pushing the Boundaries of Few-Step Diffusion Models with Quantization-Aware Scheduling
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Representation Alignment for Inverse Problems with Diffusion and Flow-Based Models
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Rethinking the Design Space of Reinforcement Learning for Diffusion Models: On the Importance of Likelihood Estimation Beyond Loss Design
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Reward-Guided Discrete Diffusion via Clean-Sample Markov Chain
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Rex: A Family of Reversible Exponential (Stochastic) Runge-Kutta Solvers
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RFG: Test-Time Scaling for Diffusion Large Language Model Reasoning with Reward-Free Guidance
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Self-Improving Vision-Language-Action Models with Data Generation via Residual RL
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Stein Diffusion Guidance: Training-Free Posterior Correction for Sampling Beyond High-Density Regions
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Stochastic Few-step Models
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Stratified Hazard Sampling: Minimal-Variance Event Scheduling for CTMC/DTMC Discrete Diffusion and Flow Models
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TD3B: Transition-Directed Discrete Diffusion for Allosteric Binder Generation
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Time-to-Move: Training-Free Motion-Controlled Video Generation via Dual-Clock Denoising
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Trust-Region Noise Search for Black-Box Alignment of Diffusion and Flow Models
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Understanding Sampler Stochasticity in Training Diffusion Models for RLHF
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Unifying Autoregressive and Discrete Diffusion Language Modeling via Cross-Regressive Decoding
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UniGuide: Learning Guidance Policies for Multi-Objective Diffusion Sampling
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Variational Entropic Optimal Transport
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Verifier-Threshold: An Efficient Test-Time Scaling Approach for Image Generation
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When Guidance Breaks: A Schrödinger Bridge Perspective on Inference-Time Alignment in Diffusion Models
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When Test-Time Guidance Is Enough: Fast Image and Video Editing with Diffusion Guidance
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Where and How to Perturb: On the Design of Perturbation Guidance in Diffusion and Flow Models
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WIND: Weather Inverse Diffusion for Zero-Shot Atmospheric Modeling