Bariscan Bozkurt

4 papers · 2022–2025 · 3 venues · across top CS/AI venues

Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.

Achievements

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🌍 Conference Polyglot · Bronze 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (12)

Venues

NeurIPS (2) AISTATS (1) ICLR (1)

Top co-authors

Cengiz Pehlevan (3) Alper Erdogan (2) Dimitri Meunier (1) Liyuan Xu (1) Ateş İsfendiyaroğlu (1) Ben Deaner (1) Alper Tunga Erdogan (1) Arthur Gretton (1)

Research topics

Machine Learning (4) Deep Learning (3) Core Methods (3) Artificial Intelligence (2) Architectures (2) Core AI (2) Learning Types · Machine Learning (2) Learning Types · Deep Learning (2) Interdisciplinary (1) Models (1) Science (1)

Keywords

neural network training (1) blind source separation (1) independent component analysis (1) causal effect estimation (1) density ratio estimation (1) coordinate descent (1) biological plausibility (1) kernel ridge regression (1) dendritic processing (1) information maximization (1) latent variable model (1) hidden confounding (1) weight symmetry (1) backpropagation alternative (1) proxy variable (1) similarity matching (1) neural network (1) determinant maximization (1) correlated source (1) correlative information maximization (1)

Papers

Density Ratio-based Proxy Causal Learning Without Density Ratios AISTATS 2025 Correlative Information Maximization: A Biologically Plausible Approach to Supervised Deep Neural Networks without Weight Symmetry NeurIPS 2023 Correlative Information Maximization Based Biologically Plausible Neural Networks for Correlated Source Separation ICLR 2023 Biologically-Plausible Determinant Maximization Neural Networks for Blind Separation of Correlated Sources NeurIPS 2022