Neil Dhir

4 papers · 2020–2025 · 4 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 🏃 Academic Marathon · Sprint 🌉 Interdisciplinary Bridge · Silver 🗺️ Taxonomy Completionist (12)

Venues

AISTATS (1) CoNLL (1) ICML (1) NeurIPS (1)

Top co-authors

Theodoros Damoulas (2) Virginia Aglietti (2) Tom Stafford (1) Nicola Branchini (1) Javier Gonzalez (1) Leonardo Hernandez Cano (1) Álvaro Sanchez Ferro (1) Colin Bannard (1) Arun Ramamurthy (1) Armando Solar-Lezama (1)

Research topics

Machine Learning (4) Artificial Intelligence (3) Core AI (3) Learning Types (2) Optimization & Theory (2) Natural Language Processing (1) Reinforcement Learning (1) Robotics (1) Application Areas (1) Applications (1) Capabilities (1) Core Methods (1) Methods (1)

Keywords

information theory (1) unsupervised learning (1) causal inference (1) policy optimization (1) structure learning (1) gaussian process (1) low-level features (1) model-based reinforcement learning (1) bayesian optimization (1) causal effect (1) convolutional neural network (1) healthcare application (1) interventional data (1) causal graph (1) bidirectional lstm (1) finite state machine (1) long short-term memory network (1) parkinson disease detection (1) keystroke dynamics (1) bidirectional neural network (1)

Papers

Neurosymbolic World Models for Sequential Decision Making ICML 2025 Causal Entropy Optimization AISTATS 2023 Dynamic Causal Bayesian Optimization NeurIPS 2021 Identifying robust markers of Parkinson’s disease in typing behaviour using a CNN-LSTM network CoNLL 2020