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Author

Arka Pal

beta-VAE: Learning Basic Visual Concepts with a Constrained Variational Framework
2017 · Irina Higgins, Löıc Matthey, et al. · International Conference on Learning Representations · 3,248
Understanding disentangling in $β$-VAE
2018 · Burgess, Christopher P., Higgins, Irina, et al. · arXiv (Cornell University) · 767
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DARLA: Improving Zero-Shot Transfer in Reinforcement Learning
2017 · Higgins, Irina, Pal, Arka, et al. · arXiv (Cornell University) · 235
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Early Visual Concept Learning with Unsupervised Deep Learning
2016 · Higgins, Irina, Matthey, Loic, et al. · arXiv (Cornell University) · 153
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SCAN: Learning Hierarchical Compositional Visual Concepts
2017 · Higgins, Irina, Sonnerat, Nicolas, et al. · arXiv (Cornell University) · 94
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SCAN: Learning Abstract Hierarchical Compositional Visual Concepts
2017 · Irina Higgins, Nicolas Sonnerat, et al. · arXiv (Cornell University) · 19
A Soft Robotic System Automatically Learns Precise Agile Motions Without Model Information
2024 · Simon Bachhuber, Alexander Pawluchin, et al. · IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) · 1
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One Diffusion Model, Two Roles: Guided Trajectory Planning and Safety-Critical Scenario Generation in Closed-Loop Simulation
2026 · Pal, Arka, Kumar, Rajesh, et al. · arXiv (Cornell University)
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Dynamic Delayed Tree Expansion For Improved Multi-Path Speculative Decoding
2026 · Thomas, Rahul, Kitanovski, Teo, et al. · arXiv (Cornell University)
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Greedy Multi-Path Block Verification for Faster Decoding in Speculative Sampling
2026 · Thomas, Rahul, Hidary, David, et al. · arXiv (Cornell University)
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Works count: 10
Citation count: 4,517
H-index: 6
I10-index: 6
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