Sarath Shekkizhar

24 papers A* 1B 1C 1Misc 3Journal 14Unranked 4

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Interaction Theater: A case of LLM Agents Interacting at Scale. CoRR Sarath Shekkizhar, Adam Christopher Earle
2025	J	`jnl`	AGI Is Coming... Right After AI Learns to Play Wordle. CoRR Sarath Shekkizhar, Romain Cosentino
2025	J	`jnl`	Convergence dynamics of Agent-to-Agent Interactions with Misaligned objectives. CoRR Romain Cosentino, Sarath Shekkizhar, Adam Christopher Earle
2025	J	`jnl`	Echoing: Identity Failures when LLM Agents Talk to Each Other. CoRR Sarath Shekkizhar, Romain Cosentino, Adam Christopher Earle, Silvio Savarese
2024	A*	`conf`	Characterizing Large Language Model Geometry Helps Solve Toxicity Detection and Generation. ICML Randall Balestriero, Romain Cosentino, Sarath Shekkizhar
2024	—	`conf`	Out-of-Distribution Detection through Soft Clustering with Non-Negative Kernel Regression. EMNLP (Findings) Aryan Gulati, Xingjian Dong, Carlos Hurtado, Sarath Shekkizhar, Swabha Swayamdipta, Antonio Ortega
2024	J	`jnl`	Out-of-Distribution Detection through Soft Clustering with Non-Negative Kernel Regression. CoRR Aryan Gulati, Xingjian Dong, Carlos Hurtado, Sarath Shekkizhar, Swabha Swayamdipta, Antonio Ortega
2024	J	`jnl`	Reasoning in Large Language Models: A Geometric Perspective. CoRR Romain Cosentino, Sarath Shekkizhar
2023	J	`jnl`	Characterizing Large Language Model Geometry Solves Toxicity Detection and Generation. CoRR Randall Balestriero, Romain Cosentino, Sarath Shekkizhar
2023	Misc	`conf`	Study of Manifold Geometry Using Multiscale Non-Negative Kernel Graphs. ICASSP Carlos Hurtado, Sarath Shekkizhar, Javier Ruiz Hidalgo, Antonio Ortega
2022	Misc	`conf`	Channel Redundancy and Overlap in Convolutional Neural Networks with Channel-Wise NNK Graphs. ICASSP David Bonet, Antonio Ortega, Javier Ruiz Hidalgo, Sarath Shekkizhar
2022	—	`conf`	NNK-Means: Data summarization using dictionary learning with non-negative kernel regression. EUSIPCO Sarath Shekkizhar, Antonio Ortega
2022	J	`jnl`	Study of Manifold Geometry using Multiscale Non-Negative Kernel Graphs. CoRR Carlos Hurtado, Sarath Shekkizhar, Javier Ruiz Hidalgo, Antonio Ortega
2022	J	`jnl`	The Geometry of Self-supervised Learning Models and its Impact on Transfer Learning. CoRR Romain Cosentino, Sarath Shekkizhar, Mahdi Soltanolkotabi, Salman Avestimehr, Antonio Ortega
2021	J	`jnl`	Channel redundancy and overlap in convolutional neural networks with channel-wise NNK graphs. CoRR David Bonet, Antonio Ortega, Javier Ruiz Hidalgo, Sarath Shekkizhar
2021	—	`conf`	Channel-Wise Early Stopping without a Validation Set via NNK Polytope Interpolation. APSIPA ASC David Bonet, Antonio Ortega, Javier Ruiz Hidalgo, Sarath Shekkizhar
2021	J	`jnl`	Channel-Wise Early Stopping without a Validation Set via NNK Polytope Interpolation. CoRR David Bonet, Antonio Ortega, Javier Ruiz Hidalgo, Sarath Shekkizhar
2021	—	`conf`	Model selection and explainability in neural networks using a polytope interpolation framework. ACSCC Sarath Shekkizhar, Antonio Ortega
2021	J	`jnl`	NNK-Means: Dictionary Learning using Non-Negative Kernel regression. CoRR Sarath Shekkizhar, Antonio Ortega
2020	J	`jnl`	DeepNNK: Explaining deep models and their generalization using polytope interpolation. CoRR Sarath Shekkizhar, Antonio Ortega
2020	B	`conf`	Efficient Graph Construction For Image Representation. ICIP Sarath Shekkizhar, Antonio Ortega
2020	Misc	`conf`	Graph Construction from Data by Non-Negative Kernel Regression. ICASSP Sarath Shekkizhar, Antonio Ortega
2020	C	`conf`	Graph-based Deep Learning Analysis and Instance Selection. MMSP Keisuke Nonaka, Sarath Shekkizhar, Antonio Ortega
2019	J	`jnl`	Graph Construction from Data using Non Negative Kernel regression (NNK Graphs). CoRR Sarath Shekkizhar, Antonio Ortega