Sengupta, Anirvan M.
- Learning interactions between Rydberg atoms
2024/12/16 by Olivier Simard, Anna Dawid, Simard, Olivier +9 · 5 citations
Computer Science · Physics and Astronomy · #FOS: Physical sciences #Quantum Computing Algorithms and Architecture #Quantum Information and Cryptography #Quantum Physics (quant-ph) #Quantum many-body systems
- In-context denoising with one-layer transformers: connections between attention and associative memory retrieval
2025/02/07 by Matthew Smart, Smart, Matthew, Alberto Bietti +3 · 1 voice · 3 citations
Computer Science · Physics and Astronomy · #Neural Networks and Applications #cond-mat.dis-nn #cs.LG
- Machine learning-based compression of quantum many body physics: PCA and autoencoder representation of the vertex function
2024/03/22 by Jiawei Zang, Zang, Jiawei, Matija Medvidović +9 · 2 citations
Computer Science · #Computational Physics and Python Applications #FOS: Physical sciences #Quantum Computing Algorithms and Architecture #Seismology and Earthquake Studies #Strongly Correlated Electrons (cond-mat.str-el)
- Constrained Predictive Coding as a Biologically Plausible Model of the Cortical Hierarchy
2022/10/27 by Siavash Golkar, Tiberiu Teşileanu, Golkar, Siavash +7 · 1 citation
Computer Science · Neuroscience · #FOS: Biological sciences #Functional Brain Connectivity Studies #Neural Networks and Applications #Neural dynamics and brain function #Neurons and Cognition (q-bio.NC)
- Normative framework for deriving neural networks with multi-compartmental neurons and non-Hebbian plasticity
2023/02/20 by David Lipshutz, Yanis Bahroun, Lipshutz, David +7 · 1 citation
Engineering · Computer Science · #Advanced Memory and Neural Computing #Ferroelectric and Negative Capacitance Devices #Neural Networks and Applications
- Duality Principle and Biologically Plausible Learning: Connecting the Representer Theorem and Hebbian Learning
2023/08/02 by Bahroun, Yanis, Chklovskii, Dmitri B., Sengupta, Anirvan M. · 1 citation
#Artificial Intelligence (cs.AI) #FOS: Biological sciences #FOS: Computer and information sciences #Neural and Evolutionary Computing (cs.NE) #Neurons and Cognition (q-bio.NC)
- A biologically plausible neural network for multi-channel Canonical Correlation Analysis
2020/10/01 by Lipshutz, David, Bahroun, Yanis, Golkar, Siavash +2 · 1 citation
#FOS: Biological sciences #FOS: Computer and information sciences #Machine Learning (stat.ML) #Neural and Evolutionary Computing (cs.NE) #Neurons and Cognition (q-bio.NC)
- Learning the eigenstructure of quantum dynamics using classical shadows
2023/09/22 by Acharya, Atithi, Saha, Siddhartha, Sridharan, Shagesh +2 · 1 citation
#FOS: Physical sciences #Quantum Physics (quant-ph)
- Fast Scrambling at the Boundary
2024/07/18 by Ancel Larzul, Larzul, Ancel, Anirvan M. Sengupta +5 · 1 citation
Physics and Astronomy · #FOS: Physical sciences #High Energy Physics - Theory (hep-th) #Quantum Physics (quant-ph) #Quantum and electron transport phenomena #Quantum chaos and dynamical systems #Quantum many-body systems #Strongly Correlated Electrons (cond-mat.str-el)
- A Network of Biologically Inspired Rectified Spectral Units (ReSUs) Learns Hierarchical Features Without Error Backpropagation
2025/12/29 by Shanshan Qin, Joshua L. Pughe-Sanford, Qin, Shanshan +12 · 3 voices
Neuroscience · Engineering · Biochemistry, Genetics and Molecular Biology · #Neurobiology and Insect Physiology Research #Advanced Memory and Neural Computing #Retinal Development and Disorders
- Double descent: When do neural quantum states generalize?
2025/07/31 by Moss, M. Schuyler, Orfi, Alev, Roth, Christopher +5 · 3 citations
#Disordered Systems and Neural Networks (cond-mat.dis-nn) #FOS: Physical sciences #Quantum Physics (quant-ph)