Zoran Tiganj - RankMe

31 papers A* 4B 7Journal 12Unranked 7

Year	Rank	Type	Title / Venue / Authors
2026	—	`conf`	Beyond Semantics: How Temporal Biases Shapes Retrieval in Transformer and State-Space Models. EACL (Volume 1: Long Papers) Anooshka Bajaj, Deven Mahesh Mistry, Sahaj Singh Maini, Yash Aggarwal, Zoran Tiganj
2026	J	`jnl`	Who Do LLMs Trust? Human Experts Matter More Than Other LLMs. CoRR Anooshka Bajaj, Zoran Tiganj
2025	J	`jnl`	Beyond Semantics: How Temporal Biases Shape Retrieval in Transformer and State-Space Models. CoRR Anooshka Bajaj, Deven Mahesh Mistry, Sahaj Singh Maini, Yash Aggarwal, Zoran Tiganj
2025	A*	`conf`	Deep Reinforcement Learning with Time-Scale Invariant Memory. AAAI Md Rysul Kabir, James Mochizuki-Freeman, Zoran Tiganj
2025	—	`conf`	Emergence of Episodic Memory in Transformers: Characterizing Changes in Temporal Structure of Attention Scores During Training. NAACL (Long Papers) Deven Mahesh Mistry, Anooshka Bajaj, Yash Aggarwal, Sahaj Singh Maini, Zoran Tiganj
2025	J	`jnl`	Emergence of Episodic Memory in Transformers: Characterizing Changes in Temporal Structure of Attention Scores During Training. CoRR Deven Mahesh Mistry, Anooshka Bajaj, Yash Aggarwal, Sahaj Singh Maini, Zoran Tiganj
2025	J	`jnl`	Gradual Forgetting: Logarithmic Compression for Extending Transformer Context Windows. CoRR Billy Dickson, Zoran Tiganj
2025	J	`jnl`	Self-supervised learning of scale-invariant neural representations of space and time. J. Comput. Neurosci. Abolfazl Alipour, Thomas W. James, Joshua W. Brown, Zoran Tiganj
2024	J	`jnl`	Deep reinforcement learning with time-scale invariant memory. CoRR Md Rysul Kabir, James Mochizuki-Freeman, Zoran Tiganj
2024	B	`conf`	Incorporating a cognitive model for evidence accumulation into deep reinforcement learning agents. CogSci James Mochizuki-Freeman, Md Rysul Kabir, Zoran Tiganj
2023	B	`conf`	Characterizing neural activity in cognitively inspired RL agents during an evidence accumulation task. IJCNN James Mochizuki-Freeman, Sahaj Singh Maini, Zoran Tiganj
2023	A*	`conf`	Curriculum Learning With Infant Egocentric Videos. NeurIPS Saber Sheybani, Himanshu Hansaria, Justin Wood, Linda B. Smith, Zoran Tiganj
2023	—	`conf`	Geometry of abstract learned knowledge in deep RL agents. NeurReps James Mochizuki-Freeman, Md Rysul Kabir, Mitesh Gulecha, Zoran Tiganj
2023	B	`conf`	Representing Latent Dimensions Using Compressed Number Lines. IJCNN Sahaj Singh Maini, James Mochizuki-Freeman, Chirag Shankar Indi, Brandon G. Jacques, Per B. Sederberg, Marc W. Howard, Zoran Tiganj
2022	A*	`conf`	A deep convolutional neural network that is invariant to time rescaling. ICML Brandon G. Jacques, Zoran Tiganj, Aakash Sarkar, Marc W. Howard, Per B. Sederberg
2022	B	`conf`	Comparing Impact of Time Lag and Item Lag in Relative Judgment of Recency. CogSci Sahaj Singh Maini, Louis Francis Labuzienski, Saurabh Gulati, Zoran Tiganj
2021	B	`conf`	A computational model for simulating the future using a memory timeline. CogSci Zoran Tiganj, Wei Tang, Marc W. Howard
2021	A*	`conf`	DeepSITH: Efficient Learning via Decomposition of What and When Across Time Scales. NeurIPS Brandon G. Jacques, Zoran Tiganj, Marc W. Howard, Per B. Sederberg
2021	J	`jnl`	DeepSITH: Efficient Learning via Decomposition of What and When Across Time Scales. CoRR Brandon G. Jacques, Zoran Tiganj, Marc W. Howard, Per B. Sederberg
2021	J	`jnl`	SITHCon: A neural network robust to variations in input scaling on the time dimension. CoRR Brandon G. Jacques, Zoran Tiganj, Aakash Sarkar, Marc W. Howard, Per B. Sederberg
2019	J	`jnl`	Estimating Scale-Invariant Future in Continuous Time. Neural Comput. Zoran Tiganj, Samuel J. Gershman, Per B. Sederberg, Marc W. Howard
2019	B	`conf`	Towards a neural-level cognitive architecture: modeling behavior in working memory tasks with neurons. CogSci Zoran Tiganj, Nathanael Cruzado, Marc W. Howard
2018	J	`jnl`	Compressed Timeline of Recent Experience in Monkey Lateral Prefrontal Cortex. J. Cogn. Neurosci. Zoran Tiganj, Jason A. Cromer, Jefferson E. Roy, Earl K. Miller, Marc W. Howard
2018	J	`jnl`	Estimating scale-invariant future in continuous time. CoRR Zoran Tiganj, Samuel J. Gershman, Per B. Sederberg, Marc W. Howard
2017	B	`conf`	Neural and computational arguments for memory as a compressed supported timeline. CogSci Zoran Tiganj, Karthik H. Shankar, Marc W. Howard
2017	—	`conf`	Scale Invariant Value Computation for Reinforcement Learning in Continuous Time. AAAI Spring Symposia Zoran Tiganj, Karthik H. Shankar, Marc W. Howard
2015	—	`conf`	Efficient Neural Computation in the Laplace Domain. CoCo@NIPS Marc W. Howard, Karthik H. Shankar, Zoran Tiganj
2014	J	`jnl`	Influence of extracellular oscillations on neural communication: a computational perspective. Frontiers Comput. Neurosci. Zoran Tiganj, Sylvain Chevallier, Éric Monacelli
2011	—	`conf`	Deflation technique for neural spike sorting in multi-channel recordings. MLSP Zoran Tiganj, Mamadou Mboup
2011	—	`—`	On the pertinence of a numerical transmission model for neural information. Zoran Tiganj
2009	—	`conf`	Spike Detection and Sorting: Combining Algebraic Differentiations with ICA. ICA Zoran Tiganj, Mamadou Mboup