Rana Ali Amjad

35 papers A* 2B 7Journal 24Unranked 1

Year	Rank	Type	Title / Venue / Authors
2025	—	`conf`	SelfElicit: Your Language Model Secretly Knows Where is the Relevant Evidence. ACL (1) Zhining Liu, Rana Ali Amjad, Ravinarayana Adkathimar, Tianxin Wei, Hanghang Tong
2025	J	`jnl`	SelfElicit: Your Language Model Secretly Knows Where is the Relevant Evidence. CoRR Zhining Liu, Rana Ali Amjad, Ravinarayana Adkathimar, Tianxin Wei, Hanghang Tong
2024	J	`jnl`	Context-Aware Clustering using Large Language Models. CoRR Sindhu Tipirneni, Ravinarayana Adkathimar, Nurendra Choudhary, Gaurush Hiranandani, Rana Ali Amjad, Vassilis N. Ioannidis, Changhe Yuan, Chandan K. Reddy
2022	J	`jnl`	Invertible Low-Divergence Coding. IEEE Trans. Inf. Theory Patrick Schulte, Rana Ali Amjad, Thomas Wiegart, Gerhard Kramer
2022	J	`jnl`	Understanding Neural Networks and Individual Neuron Importance via Information-Ordered Cumulative Ablation. IEEE Trans. Neural Networks Learn. Syst. Rana Ali Amjad, Kairen Liu, Bernhard C. Geiger
2021	J	`jnl`	A White Paper on Neural Network Quantization. CoRR Markus Nagel, Marios Fournarakis, Rana Ali Amjad, Yelysei Bondarenko, Mart van Baalen, Tijmen Blankevoort
2021	B	`conf`	Neural Augmentation of Kalman Filter with Hypernetwork for Channel Tracking. GLOBECOM Kumar Pratik, Rana Ali Amjad, Arash Behboodi, Joseph B. Soriaga, Max Welling
2021	J	`jnl`	Neural Augmentation of Kalman Filter with Hypernetwork for Channel Tracking. CoRR Kumar Pratik, Rana Ali Amjad, Arash Behboodi, Joseph B. Soriaga, Max Welling
2020	J	`jnl`	A Generalized Framework For Kullback-Leibler Markov Aggregation. IEEE Trans. Autom. Control. Rana Ali Amjad, Clemens Blöchl, Bernhard C. Geiger
2020	A*	`conf`	Bayesian Bits: Unifying Quantization and Pruning. NeurIPS Mart van Baalen, Christos Louizos, Markus Nagel, Rana Ali Amjad, Ying Wang, Tijmen Blankevoort, Max Welling
2020	J	`jnl`	Bayesian Bits: Unifying Quantization and Pruning. CoRR Mart van Baalen, Christos Louizos, Markus Nagel, Rana Ali Amjad, Ying Wang, Tijmen Blankevoort, Max Welling
2020	J	`jnl`	Invertible Low-Divergence Coding. CoRR Patrick Schulte, Rana Ali Amjad, Thomas Wiegart, Gerhard Kramer
2020	J	`jnl`	Learning Representations for Neural Network-Based Classification Using the Information Bottleneck Principle. IEEE Trans. Pattern Anal. Mach. Intell. Rana Ali Amjad, Bernhard C. Geiger
2020	A*	`conf`	Up or Down? Adaptive Rounding for Post-Training Quantization. ICML Markus Nagel, Rana Ali Amjad, Mart van Baalen, Christos Louizos, Tijmen Blankevoort
2020	J	`jnl`	Up or Down? Adaptive Rounding for Post-Training Quantization. CoRR Markus Nagel, Rana Ali Amjad, Mart van Baalen, Christos Louizos, Tijmen Blankevoort
2019	—	`—`	Applications of Information Theory and Factor Graphs for Machine Learning. Rana Ali Amjad
2019	J	`jnl`	Class-Conditional Compression and Disentanglement: Bridging the Gap between Neural Networks and Naive Bayes Classifiers. CoRR Rana Ali Amjad, Bernhard C. Geiger
2019	J	`jnl`	Co-Clustering via Information-Theoretic Markov Aggregation. IEEE Trans. Knowl. Data Eng. Clemens Blöchl, Rana Ali Amjad, Bernhard C. Geiger
2018	J	`jnl`	A Mismatched Joint Source-Channel Coding Perspective of Probabilistic Amplitude Shaping: Achievable Rates and Error Exponents. CoRR Rana Ali Amjad
2018	J	`jnl`	Clustering with Simultaneous Local and Global View of Data: A message passing based approach. CoRR Rayyan Ahmad Khan, Rana Ali Amjad, Martin Kleinsteuber
2018	J	`jnl`	Co-Clustering via Information-Theoretic Markov Aggregation. CoRR Clemens Blöchl, Rana Ali Amjad, Bernhard C. Geiger
2018	J	`jnl`	How (Not) To Train Your Neural Network Using the Information Bottleneck Principle. CoRR Rana Ali Amjad, Bernhard C. Geiger
2018	B	`conf`	Information Rates and Error Exponents for Probabilistic Amplitude Shaping. ITW Rana Ali Amjad
2018	J	`jnl`	Understanding Individual Neuron Importance Using Information Theory. CoRR Kairen Liu, Rana Ali Amjad, Bernhard C. Geiger
2017	J	`jnl`	A Generalized Framework for Kullback-Leibler Markov Aggregation. CoRR Rana Ali Amjad, Clemens Blöchl, Bernhard C. Geiger
2016	J	`jnl`	Hard Clusters Maximize Mutual Information. CoRR Bernhard C. Geiger, Rana Ali Amjad
2015	B	`conf`	Channel resolvability codes based on concatenation and sparse linear encoding. ISIT Rana Ali Amjad, Gerhard Kramer
2014	B	`conf`	Informational divergence and entropy rate on rooted trees with probabilities. ISIT Georg Böcherer, Rana Ali Amjad
2013	B	`conf`	Average throughput maximization for energy harvesting transmitters with causal energy arrival information. WCNC Qing Bai, Rana Ali Amjad, Josef A. Nossek
2013	J	`jnl`	Block-to-Block Distribution Matching CoRR Georg Böcherer, Rana Ali Amjad
2013	J	`jnl`	Fixed-to-Variable Length Distribution Matching CoRR Rana Ali Amjad, Georg Böcherer
2013	J	`jnl`	Fixed-to-Variable Length Resolution Coding for Target Distributions. CoRR Georg Böcherer, Rana Ali Amjad
2013	B	`conf`	Fixed-to-variable length distribution matching. ISIT Rana Ali Amjad, Georg Böcherer
2013	B	`conf`	Fixed-to-variable length resolution coding for target distributions. ITW Georg Böcherer, Rana Ali Amjad
2013	J	`jnl`	Informational Divergence and Entropy Rate on Rooted Trees with Probabilities. CoRR Georg Böcherer, Rana Ali Amjad