:: Library Catalog

Copertina

Salvato in:

Dettagli Bibliografici
Autori principali:	Dubey, Neeru, Karlsson, Elin, Redondo, Miguel Angel, Reimegård, Johan, Rising, Anna, Kjellström, Hedvig
Natura:	Preprint
Pubblicazione:	2025
Soggetti:	Machine Learning
Accesso online:	https://arxiv.org/abs/2504.08437
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

CARL-GT: Evaluating Causal Reasoning Capabilities of Large Language Models
di: Tu, Ruibo, et al.
Pubblicazione: (2024)

Causal Discovery from Conditionally Stationary Time Series
di: Balsells-Rodas, Carles, et al.
Pubblicazione: (2021)

Causality for Tabular Data Synthesis: A High-Order Structure Causal Benchmark Framework
di: Tu, Ruibo, et al.
Pubblicazione: (2024)

CLHOP: Combined Audio-Video Learning for Horse 3D Pose and Shape Estimation
di: Li, Ci, et al.
Pubblicazione: (2024)

Temperature‐Induced Effects on Wet‐Spun Artificial Spider Silk Fibers
di: Gabriele Greco, et al.
Pubblicazione: (2024)

Environment Agnostic Goal-Conditioning, A Study of Reward-Free Autonomous Learning
di: Åström, Hampus, et al.
Pubblicazione: (2025)

FIELDS: Face reconstruction with accurate Inference of Expression using Learning with Direct Supervision
di: Ling, Chen, et al.
Pubblicazione: (2025)

Dessie: Disentanglement for Articulated 3D Horse Shape and Pose Estimation from Images
di: Li, Ci, et al.
Pubblicazione: (2024)

Coating Artificial Spider Silk Fiber with Magnetic FeCo: An Effective Strategy for Creating a Flexible Magneto‐Responsive Material
di: Filippo Lanaro, et al.
Pubblicazione: (2026)

Demystify Protein Generation with Hierarchical Conditional Diffusion Models
di: Ling, Zinan, et al.
Pubblicazione: (2025)

Customized Load Profiles Synthesis for Electricity Customers Based on Conditional Diffusion Models
di: Wang, Zhenyi, et al.
Pubblicazione: (2023)

AMLgentex: Mobilizing Data-Driven Research to Combat Money Laundering
di: Östman, Johan, et al.
Pubblicazione: (2025)

UniMate: A Unified Model for Mechanical Metamaterial Generation, Property Prediction, and Condition Confirmation
di: Zhan, Wangzhi, et al.
Pubblicazione: (2025)

Function-Guided Conditional Generation Using Protein Language Models with Adapters
di: Yang, Jason, et al.
Pubblicazione: (2024)

Nanostructured Protein Surfaces Inspired by Spider Silk
di: Martin Humenik, et al.
Pubblicazione: (2025)

Decoding complexity: how machine learning is redefining scientific discovery
di: Vinuesa, Ricardo, et al.
Pubblicazione: (2024)

Spiders Use Structural Conversion of Globular Amyloidogenic Domains to Make Strong Silk Fibers
di: Xingmei Qi, et al.
Pubblicazione: (2024)

Predicting Properties of Quantum Systems with Conditional Generative Models
di: Wang, Haoxiang, et al.
Pubblicazione: (2022)

Real-Time Control of a Virtual Orchestra by Recognition of Conducting Gestures
di: Mermerci, Mert, et al.
Pubblicazione: (2026)

Multilingual Prompt Engineering in Large Language Models: A Survey Across NLP Tasks
di: Vatsal, Shubham, et al.
Pubblicazione: (2025)

Local Mechanisms of Compositional Generalization in Conditional Diffusion
di: Bradley, Arwen
Pubblicazione: (2025)

CustomText: Customized Textual Image Generation using Diffusion Models
di: Paliwal, Shubham, et al.
Pubblicazione: (2024)

Conditioning Protein Generation via Hopfield Pattern Multiplicity
di: Varner, Jeffrey D.
Pubblicazione: (2026)

A cutting plane algorithm for globally solving low dimensional k-means clustering problems
di: Ryner, Martin, et al.
Pubblicazione: (2024)

Fast Topological Signal Identification and Persistent Cohomological Cycle Matching
di: García-Redondo, Inés, et al.
Pubblicazione: (2022)

SimpleFold: Folding Proteins is Simpler than You Think
di: Wang, Yuyang, et al.
Pubblicazione: (2025)

Sequence-Augmented SE(3)-Flow Matching For Conditional Protein Backbone Generation
di: Huguet, Guillaume, et al.
Pubblicazione: (2024)

Generative Modeling in Protein Design: Neural Representations, Conditional Generation, and Evaluation Standards
di: Wanasekara, Senura Hansaja, et al.
Pubblicazione: (2026)

Federated Language Models Under Bandwidth Budgets: Distillation Rates and Conformal Coverage
di: Dubey, Prasanjit, et al.
Pubblicazione: (2026)

Meta-Learning for Cross-Task Generalization in Protein Mutation Property Prediction
di: Badrinarayanan, Srivathsan, et al.
Pubblicazione: (2025)

The Feedback Hamiltonian is the Score Function: A Diffusion-Model Framework for Quantum Trajectory Reversal
di: Dubey, Sagar, et al.
Pubblicazione: (2026)

Are Detectors Fair to Indian IP-AIGC? A Cross-Generator Study
di: Dubey, Vishal, et al.
Pubblicazione: (2025)

Evaluating the fairness of task-adaptive pretraining on unlabeled test data before few-shot text classification
di: Dubey, Kush
Pubblicazione: (2024)

Mechanisms of AI Protein Folding in ESMFold
di: Lu, Kevin, et al.
Pubblicazione: (2026)

Falsification of Unconfoundedness by Testing Independence of Causal Mechanisms
di: Karlsson, Rickard K. A., et al.
Pubblicazione: (2025)

Induction Meets Biology: Mechanisms of Repeat Detection in Protein Language Models
di: Pomerants, Gal, et al.
Pubblicazione: (2026)

ProteinEngine: Empower LLM with Domain Knowledge for Protein Engineering
di: Shen, Yiqing, et al.
Pubblicazione: (2024)

MutaPLM: Protein Language Modeling for Mutation Explanation and Engineering
di: Luo, Yizhen, et al.
Pubblicazione: (2024)

Optimal Time Complexity Algorithms for Computing General Random Walk Graph Kernels on Sparse Graphs
di: Choromanski, Krzysztof, et al.
Pubblicazione: (2024)

Conditional Language Policy: A General Framework for Steerable Multi-Objective Finetuning
di: Wang, Kaiwen, et al.
Pubblicazione: (2024)