Image de couverture de livre

HyperTransport: Amortized Conditioning of T2I Generative Models

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Maiorca, Valentino, Gualdoni, Eleonora, Suau, Xavier, Cuturi, Marco, Zappella, Luca, Rodríguez, Pau
Format:	Preprint
Publié:	2026
Sujets:	Machine Learning Artificial Intelligence
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

LinEAS: End-to-end Learning of Activation Steering with a Distributional Loss
par: Rodriguez, Pau, et autres
Publié: (2025)

Controlling Language and Diffusion Models by Transporting Activations
par: Rodriguez, Pau, et autres
Publié: (2024)

GenCtrl -- A Formal Controllability Toolkit for Generative Models
par: Cheng, Emily, et autres
Publié: (2026)

Dynamically Scaled Activation Steering
par: Ferrando, Alex, et autres
Publié: (2025)

ParaRNN: Unlocking Parallel Training of Nonlinear RNNs for Large Language Models
par: Danieli, Federico, et autres
Publié: (2025)

Interpreting CLIP: Insights on the Robustness to ImageNet Distribution Shifts
par: Crabbé, Jonathan, et autres
Publié: (2023)

Metric Based Few-Shot Graph Classification
par: Crisostomi, Donato, et autres
Publié: (2022)

Whispering Experts: Neural Interventions for Toxicity Mitigation in Language Models
par: Suau, Xavier, et autres
Publié: (2024)

Breaking Habits: On the Role of the Advantage Function in Learning Causal State Representations
par: Suau, Miguel
Publié: (2025)

Amortized Optimal Transport from Sliced Potentials
par: Truong, Minh-Phuc, et autres
Publié: (2026)

Mapping representations in Reinforcement Learning via Semantic Alignment for Zero-Shot Stitching
par: Ricciardi, Antonio Pio, et autres
Publié: (2025)

DynaMiCS: Fine-tuning LLMs with Performance Constraints using Dynamic Mixtures
par: Gualdoni, Eleonora, et autres
Publié: (2026)

Stochastic KV Routing: Enabling Adaptive Depth-Wise Cache Sharing
par: Filippova, Anastasiia, et autres
Publié: (2026)

JADAI: Jointly Amortizing Adaptive Design and Bayesian Inference
par: Bracher, Niels, et autres
Publié: (2025)

Scaling Laws for Forgetting during Finetuning with Pretraining Data Injection
par: Bethune, Louis, et autres
Publié: (2025)

Aligning Few-Step Generative Models by Amortizing Sample-based Variational Inference
par: Lee, Jaewoo, et autres
Publié: (2026)

CoRet: Improved Retriever for Code Editing
par: Fehr, Fabio, et autres
Publié: (2025)

Accelerating Transformer Inference for Translation via Parallel Decoding
par: Santilli, Andrea, et autres
Publié: (2023)

R3L: Relative Representations for Reinforcement Learning
par: Ricciardi, Antonio Pio, et autres
Publié: (2024)

Iterative Amortized Hierarchical VAE
par: Penninga, Simon W., et autres
Publié: (2026)

Situation Model of the Transport, Transport Emissions and Meteorological Conditions
par: Benes, V., et autres
Publié: (2025)

How Robust is Model Editing after Fine-Tuning? An Empirical Study on Text-to-Image Diffusion Models
par: He, Feng, et autres
Publié: (2025)

Amortized In-Context Bayesian Posterior Estimation
par: Mittal, Sarthak, et autres
Publié: (2025)

Amortized Sampling with Transferable Normalizing Flows
par: Tan, Charlie B., et autres
Publié: (2025)

Choice of PEFT Technique in Continual Learning: Prompt Tuning is Not All You Need
par: Wistuba, Martin, et autres
Publié: (2024)

HyperFast: Instant Classification for Tabular Data
par: Bonet, David, et autres
Publié: (2024)

Generalizing Hyperedge Expansion for Hyper-relational Knowledge Graph Modeling
par: Liu, Yu, et autres
Publié: (2024)

MARS: Sound Generation via Multi-Channel Autoregression on Spectrograms
par: Ristori, Eleonora, et autres
Publié: (2025)

Generative Conditional Distributions by Neural (Entropic) Optimal Transport
par: Nguyen, Bao, et autres
Publié: (2024)

Instance-Adaptive Parametrization for Amortized Variational Inference
par: Pollastro, Andrea, et autres
Publié: (2026)

Amortized Reasoning Tree Search: Decoupling Proposal and Decision in Large Language Models
par: Hong, Zesheng, et autres
Publié: (2026)

Detecting Model Misspecification in Amortized Bayesian Inference with Neural Networks: An Extended Investigation
par: Schmitt, Marvin, et autres
Publié: (2024)

Evaluating Gender Bias Transfer between Pre-trained and Prompt-Adapted Language Models
par: Mackraz, Natalie, et autres
Publié: (2024)

Reasoning Circuits in Language Models: A Mechanistic Interpretation of Syllogistic Inference
par: Kim, Geonhee, et autres
Publié: (2024)

Completed Hyperparameter Transfer across Modules, Width, Depth, Batch and Duration
par: Mlodozeniec, Bruno, et autres
Publié: (2025)

Amortized Active Causal Induction with Deep Reinforcement Learning
par: Annadani, Yashas, et autres
Publié: (2024)

Revisiting Uncertainty Quantification Evaluation in Language Models: Spurious Interactions with Response Length Bias Results
par: Santilli, Andrea, et autres
Publié: (2025)

It Just Takes Two: Scaling Amortized Inference to Large Sets
par: Wehenkel, Antoine, et autres
Publié: (2026)

Leveraging Self-Consistency for Data-Efficient Amortized Bayesian Inference
par: Schmitt, Marvin, et autres
Publié: (2023)

Iterative Amortized Inference: Unifying In-Context Learning and Learned Optimizers
par: Mittal, Sarthak, et autres
Publié: (2025)