:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Ghosh, Sagar, Bose, Kushal, Das, Swagatam
Format:	Preprint
Published:	2025
Subjects:	Machine Learning
Online Access:	https://arxiv.org/abs/2505.24531
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

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

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)

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

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

A New Framework for Convex Clustering in Kernel Spaces: Finite Sample Bounds, Consistency and Performance Insights
by: Pan, Shubhayan, et al.
Published: (2025)

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

Fortifying Fully Convolutional Generative Adversarial Networks for Image Super-Resolution Using Divergence Measures
by: Basu, Arkaprabha, et al.
Published: (2024)

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

Utilizing Maximum Mean Discrepancy Barycenter for Propagating the Uncertainty of Value Functions in Reinforcement Learning
by: Roy, Srinjoy, et al.
Published: (2024)

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

On the Existence of Universal Simulators of Attention
by: Dutta, Debanjan, et al.
Published: (2025)

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

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

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

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

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

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

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

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

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

Diversifying Support Vector Machines for Boosting using Kernel Perturbation: Applications to Class Imbalance and Small Disjuncts
by: Datta, Shounak, et al.
Published: (2017)

MHARFedLLM: Multimodal Human Activity Recognition Using Federated Large Language Model
by: Bandyopadhyay, Asmit, et al.
Published: (2025)

Exploring Green AI for Audio Deepfake Detection
by: Saha, Subhajit, et al.
Published: (2024)

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

MK-SGC-SC: Multiple Kernel Guided Sparse Graph Construction in Spectral Clustering for Unsupervised Speaker Diarization
by: Raghav, Nikhil, et al.
Published: (2026)

TCG CREST System Description for the Second DISPLACE Challenge
by: Raghav, Nikhil, et al.
Published: (2024)

Self-Tuning Spectral Clustering for Speaker Diarization
by: Raghav, Nikhil, et al.
Published: (2024)

Interpreting Microbiome Relative Abundance Data Using Symbolic Regression
by: Haldar, Swagatam, et al.
Published: (2024)

Improving Visual Grounding by Encouraging Consistent Gradient-based Explanations
by: Yang, Ziyan, et al.
Published: (2022)

Distribution Matching via Generalized Consistency Models
by: Shrestha, Sagar, et al.
Published: (2025)

Inference Energy and Latency in AI-Mediated Education: A Learning-per-Watt Analysis of Edge and Cloud Models
by: Khemani, Kushal
Published: (2026)

Trust Regions for Explanations via Black-Box Probabilistic Certification
by: Dhurandhar, Amit, et al.
Published: (2024)

InteRACT: Transformer Models for Human Intent Prediction Conditioned on Robot Actions
by: Kedia, Kushal, et al.
Published: (2023)

OccamNets: Mitigating Dataset Bias by Favoring Simpler Hypotheses
by: Shrestha, Robik, et al.
Published: (2022)

Thermometer: Towards Universal Calibration for Large Language Models
by: Shen, Maohao, et al.
Published: (2024)

CRAUM-Net: Contextual Recursive Attention with Uncertainty Modeling for Salient Object Detection
by: Sagar, Abhinav
Published: (2020)

Projection-Free Transformers via Gaussian Kernel Attention
by: Kundu, Debarshi, et al.
Published: (2026)

Neural Diversity Regularizes Hallucinations in Language Models
by: Chakrabarti, Kushal, et al.
Published: (2025)

A Control Theoretic Framework for Adaptive Gradient Optimizers in Machine Learning
by: Chakrabarti, Kushal, et al.
Published: (2022)