:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Zolghadr, Sharare, Winther, Ole, Jeha, Paul
Format:	Preprint
Published:	2024
Subjects:	Machine Learning
Online Access:	https://arxiv.org/abs/2410.19429
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Debiasing Guidance for Discrete Diffusion with Sequential Monte Carlo
by: Lee, Cheuk Kit, et al.
Published: (2025)

Protein Language Model Embeddings Improve Generalization of Implicit Transfer Operators
by: Antoniadis, Panagiotis, et al.
Published: (2026)

Learning Energy-Based Models by Self-normalising the Likelihood
by: Senetaire, Hugo, et al.
Published: (2025)

Towards Self-Supervised Foundation Models for Critical Care Time Series
by: Jagd, Katja Naasunnguaq, et al.
Published: (2025)

DiffEnc: Variational Diffusion with a Learned Encoder
by: Nielsen, Beatrix M. G., et al.
Published: (2023)

Temporal Variational Implicit Neural Representations
by: Koyuncu, Batuhan, et al.
Published: (2025)

CREPE: Controlling Diffusion with Replica Exchange
by: He, Jiajun, et al.
Published: (2025)

DimeRec: A Unified Framework for Enhanced Sequential Recommendation via Generative Diffusion Models
by: Li, Wuchao, et al.
Published: (2024)

Bi-Axial Transformers: Addressing the Increasing Complexity of EHR Classification
by: DeVries, Rachael, et al.
Published: (2025)

Breaking Determinism: Fuzzy Modeling of Sequential Recommendation Using Discrete State Space Diffusion Model
by: Xie, Wenjia, et al.
Published: (2024)

Unlocking the Power of Diffusion Models in Sequential Recommendation: A Simple and Effective Approach
by: Chen, Jialei, et al.
Published: (2025)

Variance reduction of diffusion model's gradients with Taylor approximation-based control variate
by: Jeha, Paul, et al.
Published: (2024)

BEND: Benchmarking DNA Language Models on biologically meaningful tasks
by: Marin, Frederikke Isa, et al.
Published: (2023)

Scaling Sequential Recommendation Models with Transformers
by: Zivic, Pablo, et al.
Published: (2024)

Bridging User Dynamics: Transforming Sequential Recommendations with Schrödinger Bridge and Diffusion Models
by: Xie, Wenjia, et al.
Published: (2024)

Mix, Don't Tune: Bilingual Pre-Training Outperforms Hyperparameter Search in Data-Constrained Settings
by: Jeha, Paul, et al.
Published: (2026)

Autoregressive Generation Strategies for Top-K Sequential Recommendations
by: Volodkevich, Anna, et al.
Published: (2024)

PRISM: Purified Representation and Integrated Semantic Modeling for Generative Sequential Recommendation
by: Fang, Dengzhao, et al.
Published: (2026)

GenRec: Generative Sequential Recommendation with Large Language Models
by: Cao, Panfeng, et al.
Published: (2024)

From Agnostic to Specific: Latent Preference Diffusion for Multi-Behavior Sequential Recommendation
by: Yang, Ruochen, et al.
Published: (2026)

Sequential Diffusion Language Models
by: Liu, Yangzhou, et al.
Published: (2025)

Refining Diffusion Models for Motion Synthesis with an Acceleration Loss to Generate Realistic IMU Data
by: Häusler, Lars Ole, et al.
Published: (2025)

When and What to Recommend: Joint Modeling of Timing and Content for Active Sequential Recommendation
by: Chai, Jin, et al.
Published: (2025)

Scaling Generative Recommendations with Context Parallelism on Hierarchical Sequential Transducers
by: Dong, Yue, et al.
Published: (2025)

Temporal Linear Item-Item Model for Sequential Recommendation
by: Park, Seongmin, et al.
Published: (2024)

ML-DCN: Masked Low-Rank Deep Crossing Network Towards Scalable Ads Click-through Rate Prediction at Pinterest
by: Li, Jiacheng, et al.
Published: (2026)

Masked Diffusion for Generative Recommendation
by: Shah, Kulin, et al.
Published: (2025)

Massive Memorization with Hundreds of Trillions of Parameters for Sequential Transducer Generative Recommenders
by: Chen, Zhimin, et al.
Published: (2025)

Few-shot Protein Fitness Prediction via In-context Learning and Test-time Training
by: Teufel, Felix, et al.
Published: (2025)

Producer-Fairness in Sequential Bundle Recommendation
by: Rio, Alexandre, et al.
Published: (2025)

CALRec: Contrastive Alignment of Generative LLMs for Sequential Recommendation
by: Li, Yaoyiran, et al.
Published: (2024)

Multi-intent Aware Contrastive Learning for Sequential Recommendation
by: Huang, Junshu, et al.
Published: (2024)

DiffGRM: Diffusion-based Generative Recommendation Model
by: Liu, Zhao, et al.
Published: (2025)

Covariance-Adaptive Sequential Black-box Optimization for Diffusion Targeted Generation
by: Lyu, Yueming, et al.
Published: (2024)

Does It Look Sequential? An Analysis of Datasets for Evaluation of Sequential Recommendations
by: Klenitskiy, Anton, et al.
Published: (2024)

Facet-Aware Multi-Head Mixture-of-Experts Model for Sequential Recommendation
by: Liu, Mingrui, et al.
Published: (2024)

Pre-trained Language Model and Knowledge Distillation for Lightweight Sequential Recommendation
by: Li, Li, et al.
Published: (2024)

CAST: Modeling Semantic-Level Transitions for Complementary-Aware Sequential Recommendation
by: Zhang, Qian, et al.
Published: (2026)

Sequential Posterior Sampling with Diffusion Models
by: Stevens, Tristan S. W., et al.
Published: (2024)

Measuring Recency Bias In Sequential Recommendation Systems
by: Oh, Jeonglyul, et al.
Published: (2024)