:: Library Catalog

Copertina

Salvato in:

Dettagli Bibliografici
Autori principali:	Bertolini, Marco, Le, Tuan, Clevert, Djork-Arné
Natura:	Preprint
Pubblicazione:	2025
Soggetti:	Machine Learning
Accesso online:	https://arxiv.org/abs/2502.02513
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Unsupervised Learning of Group Invariant and Equivariant Representations
di: Winter, Robin, et al.
Pubblicazione: (2022)

Exact Solutions to the Quantum Schrödinger Bridge Problem
di: Bordyuh, Mykola, et al.
Pubblicazione: (2025)

De novo molecular structure elucidation from mass spectra via flow matching
di: Mqawass, Ghaith, et al.
Pubblicazione: (2026)

PILOT: Equivariant diffusion for pocket conditioned de novo ligand generation with multi-objective guidance via importance sampling
di: Cremer, Julian, et al.
Pubblicazione: (2024)

FLOWR.root: A flow matching based foundation model for joint multi-purpose structure-aware 3D ligand generation and affinity prediction
di: Cremer, Julian, et al.
Pubblicazione: (2025)

Fast and scalable retrosynthetic planning with a transformer neural network and speculative beam search
di: Andronov, Mikhail, et al.
Pubblicazione: (2025)

Accelerating the inference of string generation-based chemical reaction models for industrial applications
di: Andronov, Mikhail, et al.
Pubblicazione: (2024)

Models Matter: The Impact of Single-Step Retrosynthesis on Synthesis Planning
di: Torren-Peraire, Paula, et al.
Pubblicazione: (2023)

Atom-anchored LLMs speak Chemistry: A Retrosynthesis Demonstration
di: Hassen, Alan Kai, et al.
Pubblicazione: (2025)

Trivialized Momentum Facilitates Diffusion Generative Modeling on Lie Groups
di: Zhu, Yuchen, et al.
Pubblicazione: (2024)

Fast and scalable retrosynthetic planning with a transformer neural network and speculative beam search
di: Andronov, Mikhail, et al.
Pubblicazione: (2025)

Byzantine Resilient Federated Multi-Task Representation Learning
di: Le, Tuan, et al.
Pubblicazione: (2025)

Attacks and Defenses for Generative Diffusion Models: A Comprehensive Survey
di: Truong, Vu Tuan, et al.
Pubblicazione: (2024)

Learning Lie Group Generators from Trajectories
di: Hu, Lifan
Pubblicazione: (2025)

Generative Modeling with Diffusion
di: Le, Justin
Pubblicazione: (2024)

Class-Prototype Conditional Diffusion Model with Gradient Projection for Continual Learning
di: Doan, Khanh, et al.
Pubblicazione: (2023)

Curvature-Informed SGD via General Purpose Lie-Group Preconditioners
di: Pooladzandi, Omead, et al.
Pubblicazione: (2024)

Towards Efficient Pareto-optimal Utility-Fairness between Groups in Repeated Rankings
di: Mai, Phuong Dinh, et al.
Pubblicazione: (2024)

UB-SMoE: Universally Balanced Sparse Mixture-of-Experts for Resource-adaptive Federated Fine-tuning of Foundation Models
di: Tran, Van-Tuan, et al.
Pubblicazione: (2026)

KGARevion: An AI Agent for Knowledge-Intensive Biomedical QA
di: Su, Xiaorui, et al.
Pubblicazione: (2024)

Statistical Inference for Autoencoder-based Anomaly Detection after Representation Learning-based Domain Adaptation
di: Kiet, Tran Tuan, et al.
Pubblicazione: (2025)

Flow Matching on Lie Groups
di: Sherry, Finn M., et al.
Pubblicazione: (2025)

Path Development Network with Finite-dimensional Lie Group Representation
di: Lou, Hang, et al.
Pubblicazione: (2022)

Lie Group Decompositions for Equivariant Neural Networks
di: Mironenco, Mircea, et al.
Pubblicazione: (2023)

Divide and Refine: Enhancing Multimodal Representation and Explainability for Emotion Recognition in Conversation
di: Mai, Anh-Tuan, et al.
Pubblicazione: (2026)

Graph Representation Learning with Diffusion Generative Models
di: Wesego, Daniel
Pubblicazione: (2025)

Generalized Tensor-based Parameter-Efficient Fine-Tuning via Lie Group Transformations
di: Si, Chongjie, et al.
Pubblicazione: (2025)

EEGDM: EEG Representation Learning via Generative Diffusion Model
di: Puah, Jia Hong, et al.
Pubblicazione: (2025)

Stochastic Hessian Fittings with Lie Groups
di: Li, Xi-Lin
Pubblicazione: (2024)

Reinforcement Learning with Lie Group Orientations for Robotics
di: Schuck, Martin, et al.
Pubblicazione: (2024)

Correctness Assessment of Code Generated by Large Language Models Using Internal Representations
di: Bui, Tuan-Dung, et al.
Pubblicazione: (2025)

Multimodal Contrastive Representation Learning in Augmented Biomedical Knowledge Graphs
di: Dang, Tien, et al.
Pubblicazione: (2025)

Beyond Linear Diffusions: Improved Representations for Rare Conditional Generative Modeling
di: Dharmakeerthi, Kulunu, et al.
Pubblicazione: (2025)

Visual Disentangled Diffusion Autoencoders: Scalable Counterfactual Generation for Foundation Models
di: Bender, Sidney, et al.
Pubblicazione: (2026)

Connective Viewpoints of Signal-to-Noise Diffusion Models
di: Doan, Khanh, et al.
Pubblicazione: (2024)

Clifford Group Equivariant Diffusion Models for 3D Molecular Generation
di: Liu, Cong, et al.
Pubblicazione: (2025)

Privacy Preserving Diffusion Models for Mixed-Type Tabular Data Generation
di: Sattarov, Timur, et al.
Pubblicazione: (2025)

On Designing Diffusion Autoencoders for Efficient Generation and Representation Learning
di: Proszewska, Magdalena, et al.
Pubblicazione: (2025)

Metacognitive Sensitivity for Test-Time Dynamic Model Selection
di: Trinh, Le Tuan Minh, et al.
Pubblicazione: (2025)

Quantitative Convergences of Lie Group Momentum Optimizers
di: Kong, Lingkai, et al.
Pubblicazione: (2024)