no code implementations • 7 Apr 2024 • Anirban Mukherjee, Hannah Hanwen Chang
Social science research often hinges on the relationship between categorical variables and outcomes.
no code implementations • 5 Apr 2024 • Anirban Mukherjee, Hannah Hanwen Chang
We investigate whether modern AI can emulate expert creativity in complex scientific endeavors.
no code implementations • 17 Mar 2024 • Anirban Mukherjee
First, it demonstrates the proficiency of AI in fabricating disinformative user-generated content (UGC) that mimics the form of authentic content.
no code implementations • 17 Mar 2024 • Anirban Mukherjee
We examine whether Artificial Intelligence (AI) systems generate truly novel ideas rather than merely regurgitating patterns learned during training.
1 code implementation • 15 Mar 2024 • Anirban Mukherjee, Monjoy Narayan Choudhury, Dinesh Babu Jayagopi
Face de-identification in videos is a challenging task in the domain of computer vision, primarily used in privacy-preserving applications.
no code implementations • 14 Mar 2024 • Anirban Mukherjee, Hannah Hanwen Chang
Concurrently, we give its clones the ToM assessment, both with and without the instructions, thereby engaging the focal AI in higher-order counterfactual reasoning akin to human mentalizing--with respect to humans in one test and to other AI in another.
no code implementations • 14 Mar 2024 • Anirban Mukherjee, Hannah Hanwen Chang
Deviating from conventional perspectives that frame artificial intelligence (AI) systems solely as logic emulators, we propose a novel program of heuristic reasoning.
no code implementations • 10 Jan 2024 • Le Ngu Nguyen, Constantino Álvarez Casado, Manuel Lage Cañellas, Anirban Mukherjee, Nhi Nguyen, Dinesh Babu Jayagopi, Miguel Bordallo López
Radio frequency (RF) signals have facilitated the development of non-contact human monitoring tasks, such as vital signs measurement, activity recognition, and user identification.
no code implementations • 11 Dec 2023 • Le Ngu Nguyen, Praneeth Susarla, Anirban Mukherjee, Manuel Lage Cañellas, Constantino Álvarez Casado, Xiaoting Wu, Olli~Silvén, Dinesh Babu Jayagopi, Miguel Bordallo López
In this context, we present a comprehensive survey of multimodal approaches for indoor human monitoring systems, with a specific focus on their relevance in elderly care.
no code implementations • 22 Aug 2023 • Anirban Mukherjee, Hannah H. Chang
Through the Riesz representation theorem, we establish that the canonical treatment of categorical variables in causal models can be transformed into an identified structure in the RKHS.
no code implementations • 25 Jun 2023 • Hannah H. Chang, Anirban Mukherjee
The digital revolution has led to the digitization of human behavior, creating unprecedented opportunities to understand observable actions on an unmatched scale.
no code implementations • 6 Jun 2023 • Anirban Mukherjee, Hannah Chang
In this paper, drawing inspiration from the human creativity literature, we explore the optimal balance between novelty and usefulness in generative Artificial Intelligence (AI) systems.
1 code implementation • 2 Feb 2021 • Niladri Gomes, Anirban Mukherjee, Feng Zhang, Thomas Iadecola, Cai-Zhuang Wang, Kai-Ming Ho, Peter P. Orth, Yong-Xin Yao
This ensures the state is able to follow the quantum imaginary time evolution path in the system Hilbert space rather than in a restricted variational manifold set by a predefined fixed ansatz.
Chemical Physics Strongly Correlated Electrons Computational Physics Quantum Physics
2 code implementations • 19 Feb 2018 • Anirban Mukherjee, Siddhartha Lal
We present a $T=0K$ renormalization group (RG) phase diagram for the electronic Hubbard model in two dimensions on the square lattice at, and away from, half filling.
Strongly Correlated Electrons Superconductivity