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Found 14 papers, 3 papers with code
Towards free-response paradigm: a theory on decision-making in spiking neural networks
The energy-efficient and brain-like information processing abilities of Spiking Neural Networks (SNNs) have attracted considerable attention, establishing them as a crucial element of brain-inspired computing.
Learn to integrate parts for whole through correlated neural variability
Sensory perception originates from the responses of sensory neurons, which react to a collection of sensory signals linked to various physical attributes of a singular perceptual object.
Probabilistic computation and uncertainty quantification with emerging covariance
Building robust, interpretable, and secure AI system requires quantifying and representing uncertainty under a probabilistic perspective to mimic human cognitive abilities.
Toward stochastic neural computing
To account for the propagation of correlated neural variability, we derive from first principles a moment embedding for spiking neural network (SNN).
Sub-Nyquist Sampling with Optical Pulses for Photonic Blind Source Separation
We proposed and demonstrated an optical pulse sampling method for photonic blind source separation.
Photonic Interference Cancellation with Hybrid Free Space Optical Communication and MIMO Receiver
We proposed and demonstrated a hybrid blind source separation system which can switch between multiple-input and multi-output mode and free space optical communication mode depends on different situation to get best condition for separation.
Radio Frequency Interference Management with Free-Space Optical Communication and Photonic Signal Processing
We design and experimentally demonstrate a radio frequency interference management system with free-space optical communication and photonic signal processing.
Wideband photonic interference cancellation based on free space optical communication
We propose and experimentally demonstrate an interference management system that removes wideband wireless interference by using photonic signal processing and free space optical communication.
Wideband photonic blind source separation with optical pulse sampling
The ultra-fast optical pulse functions as a tweezer that collects samples of the signals at very low sampling rates, and each sample is short enough to maintain the statistical properties of the signals.
Phase Diagram of Triangular Lattice Quantum Ising Model under External Field
Quantum Ising model on a triangular lattice hosts a finite temperature Berezinskii-Kosterlitz-Thouless (BKT) phase with emergent U(1) symmetry, and it will transit into an up-up-down (UUD) phase with $C_3$ symmetry breaking upon an infinitesimal external field along the longitudinal direction, but the overall phase diagram spanned by the axes of external field and temperature remains opaque due to the lack of systematic invesitgations with controlled methodologies.
Strongly Correlated Electrons Statistical Mechanics
Real-space construction of crystalline topological superconductors and insulators in 2D interacting fermionic systems
The construction and classification of crystalline symmetry protected topological (SPT) phases in interacting bosonic and fermionic systems have been intensively studied in the past few years.
Strongly Correlated Electrons Mesoscale and Nanoscale Physics Mathematical Physics Mathematical Physics
Vestigial anyon condensation in kagome quantum spin liquids
We construct a lattice model of topological order (kagome quantum spin liquids) and solve it with unbiased quantum Monte Carlo simulations.
Strongly Correlated Electrons
Best k-layer neural network approximations
A high-level explanation is like that for the nonexistence of best rank-$r$ approximations of higher-order tensors --- the set of parameters is not a closed set --- but the geometry involved for best $k$-layer neural networks approximations is more subtle.
Identifiability of an X-rank decomposition of polynomial maps
In this paper, we study a polynomial decomposition model that arises in problems of system identification, signal processing and machine learning.
