Rika Antonova

12 papers · 2017–2025 · 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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🗺️ Taxonomy Completionist (25) 🏃 Academic Marathon · Sprint 🌍 Conference Polyglot · Bronze 🌉 Interdisciplinary Bridge · Silver 🐣 Hot Topic Early Bird

🧬 Topic Evolution 🗃️ Keyword Collector (60) 📈 Trend Setter 💎 Century Club · Bronze 🚀 Conference Pioneer 🌈 Renaissance Researcher (5)

Venues

CoRL (9) ICML (1) JMLR (1) L4DC (1)

Top co-authors

Jeannette Bohg (7) Jingyun Yang (5) Danica Kragic (3) Akshara Rai (3) Rohan Sinha (2) Christopher G. Atkeson (2) Marco Pavone (2) Christopher Agia (2) Ziang Cao (2) Max Bajracharya (1)

Research topics

Machine Learning (7) Reinforcement Learning (7) Robotics (7) Capabilities (6) Applications (5) Optimization & Theory (5) Artificial Intelligence (4) Deep Learning (4) Core AI (4) Models (3) Architectures (2) Core Methods (2) Methods (2) Computer Vision (1) Mathematics & Optimization (1)

Keywords

bayesian optimization (6) sample efficiency (2) metric learning (1) robotic manipulation (1) gradient-based optimization (1) multimodal learning (1) sensor fusion (1) influence function (1) distribution shift (1) point cloud (1) score function (1) convolutional network (1) variational autoencoder (1) latent space (1) policy optimization (1) 3d gaussian splatting (1) vision-language model (1) deformable object (1) diffusion policy (1) reinforcement learning (1)

Papers

Causal-PIK: Causality-based Physical Reasoning with a Physics-Informed Kernel ICML 2025 CUPID: Curating Data your Robot Loves with Influence Functions CoRL 2025 Mobi-π: Mobilizing Your Robot Learning Policy CoRL 2025 EquiBot: SIM(3)-Equivariant Diffusion Policy for Generalizable and Data Efficient Learning CoRL 2024 Unpacking Failure Modes of Generative Policies: Runtime Monitoring of Consistency and Progress CoRL 2024 Rethinking Optimization with Differentiable Simulation from a Global Perspective CoRL 2022 Learning to be Multimodal : Co-evolving Sensory Modalities and Sensor Properties CoRL 2021 Sequential Topological Representations for Predictive Models of Deformable Objects L4DC 2021 Bayesian Optimization in Variational Latent Spaces with Dynamic Compression CoRL 2019 Using Simulation to Improve Sample-Efficiency of Bayesian Optimization for Bipedal Robots JMLR 2019 Global Search with Bernoulli Alternation Kernel for Task-oriented Grasping Informed by Simulation CoRL 2018 Deep Kernels for Optimizing Locomotion Controllers CoRL 2017