Lipshutz, David

1. What Representational Similarity Measures Imply about Decodable Information
   2024/11/12 by Sarah E. Harvey, David Lipshutz, Harvey, Sarah E. +3 · 3 voices · 12 citations
   Computer Science · Mathematics · Social Sciences · #Misinformation and Its Impacts #cs.AI #cs.LG #stat.ML
2. Pathwise differentiability of reflected diffusions in convex polyhedral domains
   2017/05/05 by Lipshutz, David, Ramanan, Kavita · 2 citations
   #60H10 #65C30 #90C31 #93B35. Secondary: 60H07 #FOS: Mathematics #Primary: 60G17 #Probability (math.PR)
3. On directional derivatives of Skorokhod maps in convex polyhedral domains
   2016/02/04 by David Lipshutz, Lipshutz, David, Kavita Ramanan +1 · 1 citation
   Economics, Econometrics and Finance · Mathematics · #60G17 #90B15 (Secondary) #90C31 #93B35 (Primary) #FOS: Mathematics #Mathematical Biology Tumor Growth #Point processes and geometric inequalities #Probability (math.PR) #Stochastic processes and financial applications #math.PR #msc:60G17 #msc:90B15 #msc:90C31 #msc:93B35
4. A Monte Carlo method for estimating sensitivities of reflected diffusions in convex polyhedral domains
   2017/11/30 by Lipshutz, David, Ramanan, Kavita · 1 citation
   #60G17 #60H10 (Secondary) #65C05 #65C30 #90C31 (Primary) #FOS: Mathematics #Probability (math.PR)
5. Biologically plausible single-layer networks for nonnegative independent component analysis
   2020/10/23 by David Lipshutz, Cengiz Pehlevan, Lipshutz, David +3 · 1 citation
   Computer Science · Neuroscience · #Blind Source Separation Techniques #FOS: Biological sciences #FOS: Computer and information sciences #FOS: Electrical engineering #Neural Networks and Applications #Neural and Evolutionary Computing (cs.NE) #Neural dynamics and brain function #Neurons and Cognition (q-bio.NC) #Signal Processing (eess.SP) #electronic engineering #information engineering
6. A biologically plausible neural network for Slow Feature Analysis
   2020/10/23 by David Lipshutz, Lipshutz, David, Charlie Windolf +5 · 1 citation
   Computer Science · Neuroscience · #Blind Source Separation Techniques #EEG and Brain-Computer Interfaces #FOS: Biological sciences #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Neural and Evolutionary Computing (cs.NE) #Neural dynamics and brain function #Neurons and Cognition (q-bio.NC)
7. An online algorithm for contrastive Principal Component Analysis
   2022/11/14 by Golkar, Siavash, Lipshutz, David, Tesileanu, Tiberiu +1 · 1 citation
   #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Neural and Evolutionary Computing (cs.NE)
8. Normative framework for deriving neural networks with multi-compartmental neurons and non-Hebbian plasticity
   2023/02/20 by David Lipshutz, Lipshutz, David, Yanis Bahroun +7 · 1 citation
   Engineering · Computer Science · #Advanced Memory and Neural Computing #Ferroelectric and Negative Capacitance Devices #Neural Networks and Applications
9. 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)
10. Adaptive whitening with fast gain modulation and slow synaptic plasticity
    2023/08/25 by Lyndon Duong, Duong, Lyndon R., Eero P. Simoncelli +5 · 1 citation
    Computer Science · Engineering · Neuroscience · #Advanced Memory and Neural Computing #Artificial Intelligence (cs.AI) #FOS: Biological sciences #FOS: Computer and information sciences #Machine Learning (cs.LG) #Neural Networks and Applications #Neural dynamics and brain function #Neurons and Cognition (q-bio.NC)
11. Neuronal Temporal Filters as Normal Mode Extractors
    2024/01/06 by Siavash Golkar, Jules J. Berman, Golkar, Siavash +9 · 1 citation
    Computer Science · Neuroscience · Physics and Astronomy · #Chaotic Dynamics (nlin.CD) #FOS: Biological sciences #FOS: Computer and information sciences #FOS: Electrical engineering #FOS: Physical sciences #Machine Learning (stat.ML) #Neural Networks and Applications #Neural dynamics and brain function #Neurons and Cognition (q-bio.NC) #Systems and Control (eess.SY) #electronic engineering #information engineering #stochastic dynamics and bifurcation
12. Comparing noisy neural population dynamics using optimal transport distances
    2024/12/19 by Amin Nejatbakhsh, Victor Geadah, Nejatbakhsh, Amin +5 · 2 citations
    Computer Science · #Neural Networks and Applications