:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Roy, Srinjoy, Das, Swagatam
Format:	Preprint
Published:	2024
Subjects:	Machine Learning
Online Access:	https://arxiv.org/abs/2404.00686
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Hyperbolic Fuzzy C-Means with Adaptive Weight-based Filtering for Efficient Clustering
by: Das, Swagato, et al.
Published: (2025)

On the Optimization Landscape of Maximum Mean Discrepancy
by: Alon, Itai, et al.
Published: (2021)

A Free Probabilistic Framework for Analyzing the Transformer-based Language Models
by: Das, Swagatam
Published: (2025)

Assessing the Limits of In-Context Learning beyond Functions using Partially Ordered Relation
by: Dutta, Debanjan, et al.
Published: (2025)

A Free Probabilistic Framework for Denoising Diffusion Models: Entropy, Transport, and Reverse Processes
by: Das, Swagatam
Published: (2025)

Learning from Heterophilic Graphs: A Spectral Theory Perspective on the Impact of Self-Loops and Parallel Edges
by: Bose, Kushal, et al.
Published: (2025)

(De)-regularized Maximum Mean Discrepancy Gradient Flow
by: Chen, Zonghao, et al.
Published: (2024)

Convolutional Maximum Mean Discrepancy for Inference in Noisy Data
by: Vashistha, Ritwik, et al.
Published: (2026)

Hyperbolic Gaussian Blurring Mean Shift: A Statistical Mode-Seeking Framework for Clustering in Curved Spaces
by: Pratihar, Arghya, et al.
Published: (2025)

Word Sense Detection Leveraging Maximum Mean Discrepancy
by: Mitsuzawa, Kensuke
Published: (2025)

Variable Selection in Maximum Mean Discrepancy for Interpretable Distribution Comparison
by: Mitsuzawa, Kensuke, et al.
Published: (2023)

Consistent Spectral Clustering in Hyperbolic Spaces
by: Ghosh, Sagar, et al.
Published: (2024)

Asynchronous Message Passing for Addressing Oversquashing in Graph Neural Networks
by: Bose, Kushal, et al.
Published: (2025)

Dirichlet Process-based Robust Clustering using the Median-of-Means Estimator
by: Basu, Supratik, et al.
Published: (2023)

Inference-time Stochastic Refinement of GRU-Normalizing Flow for Real-time Video Motion Transfer
by: Haque, Tasmiah, et al.
Published: (2025)

Ensemble Transport Filter via Optimized Maximum Mean Discrepancy
by: Zeng, Dengfei, et al.
Published: (2024)

Signature Maximum Mean Discrepancy Two-Sample Statistical Tests
by: Alden, Andrew, et al.
Published: (2025)

MMD-Flagger: Leveraging Maximum Mean Discrepancy to Detect Hallucinations
by: Mitsuzawa, Kensuke, et al.
Published: (2025)

Heterogeneous Federated Reinforcement Learning Using Wasserstein Barycenters
by: Pereira, Luiz, et al.
Published: (2025)

Neural Wasserstein Gradient Flows for Maximum Mean Discrepancies with Riesz Kernels
by: Altekrüger, Fabian, et al.
Published: (2023)

Learning Dynamic Representations via An Optimally-Weighted Maximum Mean Discrepancy Optimization Framework for Continual Learning
by: Huang, KaiHui, et al.
Published: (2025)

Convex Clustering Redefined: Robust Learning with the Median of Means Estimator
by: De, Sourav, et al.
Published: (2025)

Maximum Mean Discrepancy on Exponential Windows for Online Change Detection
by: Kalinke, Florian, et al.
Published: (2022)

On Robust Cross Domain Alignment
by: Chakrabarty, Anish, et al.
Published: (2024)

On the Universal Statistical Consistency of Expansive Hyperbolic Deep Convolutional Neural Networks
by: Ghosh, Sagar, et al.
Published: (2024)

Rebalancing with Calibrated Sub-classes (RCS): A Statistical Fusion-based Framework for Robust Imbalanced Classification across Modalities
by: Mondal, Priyobrata, et al.
Published: (2025)

Topology-Driven Clustering: Enhancing Performance with Betti Number Filtration
by: Pratihar, Arghya, et al.
Published: (2025)

Transformers Are Universally Consistent
by: Ghosh, Sagar, et al.
Published: (2025)

APFEx: Adaptive Pareto Front Explorer for Intersectional Fairness
by: Mondal, Priyobrata, et al.
Published: (2025)

M3D: Dataset Condensation by Minimizing Maximum Mean Discrepancy
by: Zhang, Hansong, et al.
Published: (2023)

A Deterministic Sampling Method via Maximum Mean Discrepancy Flow with Adaptive Kernel
by: Chen, Yindong, et al.
Published: (2021)

Maximum Mean Discrepancy with Unequal Sample Sizes via Generalized U-Statistics
by: Wei, Aaron, et al.
Published: (2025)

Path Generation and Evaluation in Video Games: A Nonparametric Statistical Approach
by: Campa, Daniel, et al.
Published: (2025)

Detecting Machine-Generated Texts by Multi-Population Aware Optimization for Maximum Mean Discrepancy
by: Zhang, Shuhai, et al.
Published: (2024)

Validation of Composite Systems by Discrepancy Propagation
by: Reeb, David, et al.
Published: (2022)

Fuzzy Clustering to Identify Clusters at Different Levels of Fuzziness: An Evolutionary Multi-Objective Optimization Approach
by: Gupta, Avisek, et al.
Published: (2018)

MMD-OPT : Maximum Mean Discrepancy Based Sample Efficient Collision Risk Minimization for Autonomous Driving
by: Sharma, Basant, et al.
Published: (2024)

Relation-Aware Slicing in Cross-Domain Alignment
by: Sarkar, Dhruv, et al.
Published: (2025)

Deterministic Uncertainty Propagation for Improved Model-Based Offline Reinforcement Learning
by: Akgül, Abdullah, et al.
Published: (2024)

Grounding the Ungrounded: A Spectral-Graph Framework for Quantifying Hallucinations in Multimodal LLMs
by: Sarkar, Supratik, et al.
Published: (2025)