Deepali Jain
15 papers · 2019–2025 · 8 venues · across top CS/AI venues
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Achievements
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πΊοΈ Taxonomy Completionist (35) π Conference Polyglot Β· Silver π Academic Marathon Β· Sprint π Interdisciplinary Bridge Β· Silver π£ Hot Topic Early Bird
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Grand Slam
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Conference Pioneer
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Unstoppable Β· Bronze
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Prolific Year Β· Productive
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Century Club Β· Bronze
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Renaissance Researcher
(7)
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Research topics
Machine Learning
(10)
Artificial Intelligence
(7)
Reinforcement Learning
(7)
Deep Learning
(6)
Applications
(6)
Core AI
(6)
Architectures
(5)
Application Areas
(4)
Methods
(4)
Core Methods
(3)
Optimization & Theory
(3)
Learning Types Β· Machine Learning
(2)
Learning Types Β· Deep Learning
(2)
Computer Vision
(1)
Data Science & Analytics
(1)
Keywords
sim-to-real transfer
(3)
reinforcement learning
(3)
linear attention
(3)
model predictive control
(2)
legged locomotion
(2)
point cloud
(2)
robust optimization
(1)
black-box optimization
(1)
deep reinforcement learning
(1)
robot navigation
(1)
neural network optimization
(1)
transfer learning
(1)
sequence labeling
(1)
matrix factorization
(1)
motion planning
(1)
policy optimization
(1)
information retrieval
(1)
graph theory
(1)
vision transformer
(1)
matrix decomposition
(1)
Papers
Learning the RoPEs: Better 2D and 3D Position Encodings with STRING
ICML 2025
Linear Transformer Topological Masking with Graph Random Features
ICLR 2025
Modeling the Real World with High-Density Visual Particle Dynamics
CoRL 2024
Structured Unrestricted-Rank Matrices for Parameter Efficient Finetuning
NeurIPS 2024
Agile Catching with Whole-Body MPC and Blackbox Policy Learning
L4DC 2023
Efficient Graph Field Integrators Meet Point Clouds
ICML 2023
Mnemosyne: Learning to Train Transformers with Transformers
NeurIPS 2023
NITS_Legal at SemEval-2023 Task 6: Rhetorical Roles Prediction of Indian Legal Documents via Sentence Sequence Labeling Approach
SemEval 2023
Robotic Table Tennis: A Case Study into a High Speed Learning System
RSS 2023
Hybrid Random Features
ICLR 2022
i-Sim2Real: Reinforcement Learning of Robotic Policies in Tight Human-Robot Interaction Loops
CoRL 2022
Visual-Locomotion: Learning to Walk on Complex Terrains with Vision
CoRL 2021
From pixels to legs: Hierarchical learning of quadruped locomotion
CoRL 2020
Provably Robust Blackbox Optimization for Reinforcement Learning
CoRL 2019
Surveys without Questions: A Reinforcement Learning Approach
AAAI 2019