Anish Lakkapragada

According to our database, Anish Lakkapragada authored at least 7 papers between 2021 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2026

Exponential Family Discriminant Analysis: Generalizing LDA-Style Generative Classification to Non-Gaussian Models.

Anish Lakkapragada

CoRR, March, 2026

2025

Using physics-inspired Singular Learning Theory to understand grokking & other phase transitions in modern neural networks.

Anish Lakkapragada

CoRR, December, 2025

2024

Comprehensive OOD Detection Improvements.

Anish Lakkapragada, Amol Khanna, Edward Raff, Nathan Inkawhich

CoRR, 2024

A Novel Explanation Against Linear Neural Networks.

Anish Lakkapragada

CoRR, 2024

2023

Mitigating Negative Transfer in Multi-Task Learning with Exponential Moving Average Loss Weighting Strategies (Student Abstract).

Anish Lakkapragada, Essam Sleiman, Saimourya Surabhi, Dennis P. Wall

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Mitigating Negative Transfer in Multi-Task Learning with Exponential Moving Average Loss Weighting Strategies.

Anish Lakkapragada, Essam Sleiman, Saimourya Surabhi, Dennis P. Wall

CoRR, 2022

2021

Activity Recognition for Autism Diagnosis.

Anish Lakkapragada, Peter Washington, Dennis P. Wall

CoRR, 2021