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ORCIDRana Ali Amjad
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2020 – today
- 2025
[i19]Zhining Liu, Rana Ali Amjad, Ravinarayana Adkathimar, Tianxin Wei, Hanghang Tong:
SelfElicit: Your Language Model Secretly Knows Where is the Relevant Evidence. CoRR abs/2502.08767 (2025)- 2024
- [i18]Sindhu Tipirneni, Ravinarayana Adkathimar, Nurendra Choudhary, Gaurush Hiranandani, Rana Ali Amjad, Vassilis N. Ioannidis, Changhe Yuan, Chandan K. Reddy:
Context-Aware Clustering using Large Language Models. CoRR abs/2405.00988 (2024) - 2022
- [j5]Patrick Schulte
, Rana Ali Amjad, Thomas Wiegart, Gerhard Kramer:
Invertible Low-Divergence Coding. IEEE Trans. Inf. Theory 68(1): 178-192 (2022) - [j4]Rana Ali Amjad, Kairen Liu, Bernhard C. Geiger:
Understanding Neural Networks and Individual Neuron Importance via Information-Ordered Cumulative Ablation. IEEE Trans. Neural Networks Learn. Syst. 33(12): 7842-7852 (2022) - 2021
- [c9]Kumar Pratik, Rana Ali Amjad, Arash Behboodi, Joseph B. Soriaga, Max Welling:
Neural Augmentation of Kalman Filter with Hypernetwork for Channel Tracking. GLOBECOM 2021: 1-6 - [i17]Markus Nagel, Marios Fournarakis, Rana Ali Amjad, Yelysei Bondarenko, Mart van Baalen, Tijmen Blankevoort:
A White Paper on Neural Network Quantization. CoRR abs/2106.08295 (2021) - [i16]Kumar Pratik, Rana Ali Amjad, Arash Behboodi, Joseph B. Soriaga, Max Welling:
Neural Augmentation of Kalman Filter with Hypernetwork for Channel Tracking. CoRR abs/2109.12561 (2021) - 2020
- [j3]Rana Ali Amjad, Bernhard C. Geiger:
Learning Representations for Neural Network-Based Classification Using the Information Bottleneck Principle. IEEE Trans. Pattern Anal. Mach. Intell. 42(9): 2225-2239 (2020) - [j2]Rana Ali Amjad, Clemens Blöchl, Bernhard C. Geiger:
A Generalized Framework For Kullback-Leibler Markov Aggregation. IEEE Trans. Autom. Control. 65(7): 3068-3075 (2020) - [c8]Markus Nagel, Rana Ali Amjad, Mart van Baalen, Christos Louizos, Tijmen Blankevoort:
Up or Down? Adaptive Rounding for Post-Training Quantization. ICML 2020: 7197-7206 - [c7]Mart van Baalen, Christos Louizos, Markus Nagel, Rana Ali Amjad, Ying Wang, Tijmen Blankevoort, Max Welling:
Bayesian Bits: Unifying Quantization and Pruning. NeurIPS 2020 - [i15]Markus Nagel, Rana Ali Amjad, Mart van Baalen, Christos Louizos, Tijmen Blankevoort:
Up or Down? Adaptive Rounding for Post-Training Quantization. CoRR abs/2004.10568 (2020) - [i14]Mart van Baalen, Christos Louizos, Markus Nagel, Rana Ali Amjad, Ying Wang, Tijmen Blankevoort, Max Welling:
Bayesian Bits: Unifying Quantization and Pruning. CoRR abs/2005.07093 (2020) - [i13]Patrick Schulte, Rana Ali Amjad, Thomas Wiegart, Gerhard Kramer:
Invertible Low-Divergence Coding. CoRR abs/2010.10583 (2020)
2010 – 2019
- 2019
- [b1]Rana Ali Amjad:
Applications of Information Theory and Factor Graphs for Machine Learning. Technical University of Munich, Germany, 2019 - [j1]Clemens Blöchl, Rana Ali Amjad, Bernhard C. Geiger:
Co-Clustering via Information-Theoretic Markov Aggregation. IEEE Trans. Knowl. Data Eng. 31(4): 720-732 (2019) - [i12]Rana Ali Amjad, Bernhard C. Geiger:
Class-Conditional Compression and Disentanglement: Bridging the Gap between Neural Networks and Naive Bayes Classifiers. CoRR abs/1906.02576 (2019) - 2018
- [c6]Rana Ali Amjad:
Information Rates and Error Exponents for Probabilistic Amplitude Shaping. ITW 2018: 1-5 - [i11]Clemens Blöchl, Rana Ali Amjad, Bernhard C. Geiger:
Co-Clustering via Information-Theoretic Markov Aggregation. CoRR abs/1801.00584 (2018) - [i10]Rana Ali Amjad:
A Mismatched Joint Source-Channel Coding Perspective of Probabilistic Amplitude Shaping: Achievable Rates and Error Exponents. CoRR abs/1802.05973 (2018) - [i9]Rana Ali Amjad, Bernhard C. Geiger:
How (Not) To Train Your Neural Network Using the Information Bottleneck Principle. CoRR abs/1802.09766 (2018) - [i8]Rayyan Ahmad Khan, Rana Ali Amjad, Martin Kleinsteuber:
Clustering with Simultaneous Local and Global View of Data: A message passing based approach. CoRR abs/1803.04459 (2018) - [i7]Kairen Liu, Rana Ali Amjad, Bernhard C. Geiger:
Understanding Individual Neuron Importance Using Information Theory. CoRR abs/1804.06679 (2018) - 2017
- [i6]Rana Ali Amjad, Clemens Blöchl, Bernhard C. Geiger:
A Generalized Framework for Kullback-Leibler Markov Aggregation. CoRR abs/1709.05907 (2017) - 2016
- [i5]Bernhard C. Geiger, Rana Ali Amjad:
Hard Clusters Maximize Mutual Information. CoRR abs/1608.04872 (2016) - 2015
- [c5]Rana Ali Amjad, Gerhard Kramer:
Channel resolvability codes based on concatenation and sparse linear encoding. ISIT 2015: 2111-2115 - 2014
- [c4]Georg Böcherer, Rana Ali Amjad:
Informational divergence and entropy rate on rooted trees with probabilities. ISIT 2014: 176-180 - 2013
- [c3]Rana Ali Amjad, Georg Böcherer:
Fixed-to-variable length distribution matching. ISIT 2013: 1511-1515 - [c2]Georg Böcherer, Rana Ali Amjad:
Fixed-to-variable length resolution coding for target distributions. ITW 2013: 1-5 - [c1]Qing Bai, Rana Ali Amjad, Josef A. Nossek:
Average throughput maximization for energy harvesting transmitters with causal energy arrival information. WCNC 2013: 4232-4237 - [i4]Rana Ali Amjad, Georg Böcherer:
Fixed-to-Variable Length Distribution Matching. CoRR abs/1302.0019 (2013) - [i3]Georg Böcherer, Rana Ali Amjad:
Block-to-Block Distribution Matching. CoRR abs/1302.1020 (2013) - [i2]Georg Böcherer, Rana Ali Amjad:
Fixed-to-Variable Length Resolution Coding for Target Distributions. CoRR abs/1306.2550 (2013) - [i1]Georg Böcherer, Rana Ali Amjad:
Informational Divergence and Entropy Rate on Rooted Trees with Probabilities. CoRR abs/1310.2882 (2013)
Coauthor Index
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last updated on 2025-03-13 20:15 CET by the dblp team
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