activity
20132023
most citedSparse Overlapping Sets Lasso for Multitask Learning and its Application to fMRI Analysis

36 citations · 48 across the 6 of their papers we have counts for

collaborators

6 papers

cs.SI2023

Computational Agent-based Models in Opinion Dynamics: A Survey on Social Simulations and Empirical Studies

Yun-Shiuan Chuang, Timothy T. Rogers

Understanding how an individual changes its attitude, belief, and opinion due to other people's social influences is vital because of its wide implications. A core methodology that…

cs.CL2023★ 2 cited

Semantic Feature Verification in FLAN-T5

Siddharth Suresh, Kushin Mukherjee, Timothy T. Rogers

This study evaluates the potential of a large language model for aiding in generation of semantic feature norms - a critical tool for evaluating conceptual structure in cognitive s…

cs.CL2023★ 1 cited

Human-machine cooperation for semantic feature listing

Kushin Mukherjee, Siddharth Suresh, Timothy T. Rogers

Semantic feature norms, lists of features that concepts do and do not possess, have played a central role in characterizing human conceptual knowledge, but require extensive human…

cs.AI2023★ 1 cited

Conceptual structure coheres in human cognition but not in large language models

Siddharth Suresh, Kushin Mukherjee, Xizheng Yu +3

Neural network models of language have long been used as a tool for developing hypotheses about conceptual representation in the mind and brain. For many years, such use involved e…

cs.LG2014★ 8 cited

Classification with Sparse Overlapping Groups

Nikhil Rao, Robert Nowak, Christopher Cox +1

Classification with a sparsity constraint on the solution plays a central role in many high dimensional machine learning applications. In some cases, the features can be grouped to…

cs.LG2013★ 36 cited

Sparse Overlapping Sets Lasso for Multitask Learning and its Application to fMRI Analysis

Nikhil Rao, Christopher Cox, Robert Nowak +1

Multitask learning can be effective when features useful in one task are also useful for other tasks, and the group lasso is a standard method for selecting a common subset of feat…