Mehul Motani
15 papers · 2020–2026 · 7 venues · across top CS/AI venues
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Research topics
Machine Learning
(12)
Artificial Intelligence
(9)
Core AI
(8)
Core Methods
(7)
Optimization & Theory Β· Machine Learning
(7)
Deep Learning
(5)
Mathematics & Optimization
(4)
Application Areas
(3)
Architectures
(3)
Learning Types
(3)
Techniques
(3)
Mathematics
(2)
Optimization
(2)
Optimization & Theory Β· Deep Learning
(2)
Natural Language Processing
(1)
Keywords
symbolic regression
(4)
risk stratification
(2)
transformer architecture
(1)
lottery ticket hypothesis
(1)
image classification
(1)
calibration
(1)
feature selection
(1)
pointwise mutual information
(1)
uncertainty quantification
(1)
knowledge distillation
(1)
network pruning
(1)
mutual information
(1)
parameter sharing
(1)
kolmogorov complexity
(1)
supervised classification
(1)
information bottleneck
(1)
neural network regularization
(1)
deep neural network
(1)
decision tree
(1)
neural network pruning
(1)
Papers
LLaMA32-Med: Parameter-Efficient Adaptation of Multimodal LLMs for Medical Visual Question Answering
MIDL 2026
Tab-PET: Graph-Based Positional Encodings for Tabular Transformers
AAAI 2026
FEAT-KD: Learning Concise Representations for Single and Multi-Target Regression via TabNet Knowledge Distillation
ICML 2025
Ordered V-information Growth: A Fresh Perspective on Shared Information
AISTATS 2025
Pareto-Optimal Fronts for Benchmarking Symbolic Regression Algorithms
ICML 2025
Pointwise Information Measures as Confidence Estimators in Deep Neural Networks: A Comparative Study
ICML 2025
Multi-Level Symbolic Regression: Function Structure Learning for Multi-Level Data
AISTATS 2024
Symbolic Regression Enhanced Decision Trees for Classification Tasks
AAAI 2024
Local Intrinsic Dimensional Entropy
AAAI 2023
Multi-view Modelling of Longitudinal Health Data for Improved Prognostication of Colorectal Cancer Recurrence
MLHC 2023
Rethinking Symbolic Regression: Morphology and Adaptability in the Context of Evolutionary Algorithms
ICLR 2023
Using Sliced Mutual Information to Study Memorization and Generalization in Deep Neural Networks
AISTATS 2023
Unified Auto Clinical Scoring (Uni-ACS) with Interpretable ML models
MLHC 2022
Network-to-Network Regularization: Enforcing Occam's Razor to Improve Generalization
NeurIPS 2021
DropNet: Reducing Neural Network Complexity via Iterative Pruning
ICML 2020