Aditi Kathpalia

12 papers A* 1Misc 1Journal 10
YearRankTypeTitle / Venue / Authors
2026 J jnl
Dictionary Based Pattern Entropy for Causal Direction Discovery.
CoRR
Harikrishnan N. B., Shubham Bhilare, Aditi Kathpalia, Nithin Nagaraj
2025 J jnl
Response prediction of antidepressants: Using graph theory tools for brain network connectivity analysis.
Biomed. Signal Process. Control.
Akbar Davoodi, Martin Holena, Martin Brunovsky, Aditi Kathpalia, Jaroslav Hlinka, Martin Bares, Milan Palus
2023 J jnl
Compression Spectrum: Where Shannon meets Fourier.
CoRR
Aditi Kathpalia, Nithin Nagaraj
2022 A* conf
Causality Preserving Chaotic Transformation and Classification using Neurochaos Learning.
NeurIPS
Harikrishnan N. B., Aditi Kathpalia, Nithin Nagaraj
2022 J jnl
Cause-Effect Preservation and Classification using Neurochaos Learning.
CoRR
Harikrishnan N. B., Aditi Kathpalia, Nithin Nagaraj
2022 J jnl
Granger Causality for Compressively Sensed Sparse Signals.
CoRR
Aditi Kathpalia, Nithin Nagaraj
2021 J jnl
Learning Generalized Causal Structure in Time-series.
CoRR
Aditi Kathpalia, Keerti P. Charantimath, Nithin Nagaraj
2021 J jnl
Time-Reversibility, Causality and Compression-Complexity.
Entropy
Aditi Kathpalia, Nithin Nagaraj
2019 Misc conf
A novel compression based neuronal architecture for memory encoding.
ICDCN
Aditi Kathpalia, Nithin Nagaraj
2019 J jnl
ChaosNet: A Chaos based Artificial Neural Network Architecture for Classification.
CoRR
Harikrishnan Nellippallil Balakrishnan, Aditi Kathpalia, Snehanshu Saha, Nithin Nagaraj
2019 J jnl
Data-based intervention approach for Complexity-Causality measure.
PeerJ Comput. Sci.
Aditi Kathpalia, Nithin Nagaraj
2018 J jnl
Data based intervention approach for Complexity-Causality measure.
PeerJ Prepr.
Aditi Kathpalia, Nithin Nagaraj
2025 Best paper conf
Assessing the Effectiveness of the Tigress Obfuscator Against MOPSA and BinaryNinja.
CheckMATE
Nicolò Altamura, Enrico Bragastini, Marco Campion, Mila Dalla Preda
2026 Best paper preprint
ASSEMBLAGE-DEEPHISTORY: A Cross-Build Binary Dataset with Temporal Coverage.
arXiv
Chang Liu, Noah Fleischmann, Nicolò Altamura, Edward Raff, James Holt, Kristopher Micinski