:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Ghanooni, Naghmeh, Pajoum, Barbod, Rawal, Harshit, Fellenz, Sophie, Duy, Vo Nguyen Le, Kloft, Marius
Format:	Preprint
Published:	2025
Subjects:	Machine Learning
Online Access:	https://arxiv.org/abs/2502.02202
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Challenging Assumptions in Learning Generic Text Style Embeddings
by: Ostheimer, Phil, et al.
Published: (2025)

Comgra: A Tool for Analyzing and Debugging Neural Networks
by: Dietz, Florian, et al.
Published: (2024)

Continual Neural Topic Model
by: James, Charu Karakkaparambil, et al.
Published: (2025)

PIANO: Physics Informed Autoregressive Network
by: Nagda, Mayank, et al.
Published: (2025)

Population Risk Bounds for Kolmogorov-Arnold Networks Trained by DP-SGD with Correlated Noise
by: Wang, Puyu, et al.
Published: (2026)

Sparse Data Diffusion for Scientific Simulations in Biology and Physics
by: Ostheimer, Phil, et al.
Published: (2025)

Towards Graph Foundation Models: A Study on the Generalization of Positional and Structural Encodings
by: Franks, Billy Joe, et al.
Published: (2024)

SetPINNs: Set-based Physics-informed Neural Networks
by: Nagda, Mayank, et al.
Published: (2024)

Reimagining Anomalies: What If Anomalies Were Normal?
by: Liznerski, Philipp, et al.
Published: (2024)

Skipping the Zeros in Diffusion Models for Sparse Data Generation
by: Ostheimer, Phil Sidney, et al.
Published: (2026)

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

Post-Transfer Learning Statistical Inference in High-Dimensional Regression
by: Tam, Nguyen Vu Khai, et al.
Published: (2025)

Statistical Inference for Sequential Feature Selection after Domain Adaptation
by: Loc, Duong Tan, et al.
Published: (2025)

Statistical Inference for Feature Selection after Optimal Transport-based Domain Adaptation
by: Loi, Nguyen Thang, et al.
Published: (2024)

Controllable RANSAC-based Anomaly Detection via Hypothesis Testing
by: Phong, Le Hong, et al.
Published: (2024)

Statistical Inference for Clustering-based Anomaly Detection
by: Phu, Nguyen Thi Minh, et al.
Published: (2025)

Tethering Broken Themes: Aligning Neural Topic Models with Labels and Authors
by: Nagda, Mayank, et al.
Published: (2024)

Causal-Aware Generative Adversarial Networks with Reinforcement Learning
by: Nguyen, Tu Anh Hoang, et al.
Published: (2025)

Improving Time Series Encoding with Noise-Aware Self-Supervised Learning and an Efficient Encoder
by: Nguyen, Duy A., et al.
Published: (2023)

Credal Concept Bottleneck Models: Structural Separation of Epistemic and Aleatoric Uncertainty
by: Mukherjee, Tanmoy, et al.
Published: (2026)

Optimization, Generalization and Differential Privacy Bounds for Gradient Descent on Kolmogorov-Arnold Networks
by: Wang, Puyu, et al.
Published: (2026)

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

Statistical Test for Anomaly Detections by Variational Auto-Encoders
by: Miwa, Daiki, et al.
Published: (2024)

DiffStyleTS: Diffusion Model for Style Transfer in Time Series
by: Nagda, Mayank, et al.
Published: (2025)

Synthetic Swarm Mosquito Dataset for Acoustic Classification: A Proof of Concept
by: Dinh, Thai-Duy, et al.
Published: (2025)

Semi-Supervised Contrastive Learning with Orthonormal Prototypes
by: Li, Huanran, et al.
Published: (2025)

Supervised Contrastive Learning with Hard Negative Samples
by: Jiang, Ruijie, et al.
Published: (2022)

WriteViT: Handwritten Text Generation with Vision Transformer
by: Nam, Dang Hoai, et al.
Published: (2025)

FW-GAN: Frequency-Driven Handwriting Synthesis with Wave-Modulated MLP Generator
by: Khoa, Huynh Tong Dang, et al.
Published: (2025)

Variational Supervised Contrastive Learning
by: Wang, Ziwen, et al.
Published: (2025)

Statistical Test for Attention Map in Vision Transformer
by: Shiraishi, Tomohiro, et al.
Published: (2024)

Self-Supervised Contrastive Learning is Approximately Supervised Contrastive Learning
by: Luthra, Achleshwar, et al.
Published: (2025)

Statistical Test for Diffusion-Based Anomaly Localization via Selective Inference
by: Katsuoka, Teruyuki, et al.
Published: (2024)

Self-Supervised Learning via Flow-Guided Neural Operator on Time-Series Data
by: Nguyen, Duy, et al.
Published: (2026)

Physics-Constrained Fine-Tuning of Flow-Matching Models for Generation and Inverse Problems
by: Tauberschmidt, Jan, et al.
Published: (2025)

HANNA: Hard-constraint Neural Network for Consistent Activity Coefficient Prediction
by: Specht, Thomas, et al.
Published: (2024)

Minimax Rates for Hyperbolic Hierarchical Learning
by: Rawal, Divit, et al.
Published: (2026)

Labeling Neural Representations with Inverse Recognition
by: Bykov, Kirill, et al.
Published: (2023)

Adaptive Two-Phase Finetuning LLMs for Japanese Legal Text Retrieval
by: Trung, Quang Hoang, et al.
Published: (2024)

Rao-Blackwellized Score Matching on Manifolds
by: Rawal, Divit
Published: (2026)