Nishanth Dikkala

52 papers A* 18A 1B 1Journal 28Unranked 4

Year	Rank	Type	Title / Venue / Authors
2025	—	`conf`	BIG-Bench Extra Hard. ACL (1) Mehran Kazemi, Bahare Fatemi, Hritik Bansal, John Palowitch, Chrysovalantis Anastasiou, Sanket Vaibhav Mehta, Lalit K. Jain, Virginia Aglietti, Disha Jindal, Peter Chen, Nishanth Dikkala, Gladys Tyen, Xin Liu, Uri Shalit, Silvia Chiappa, Kate Olszewska, Yi Tay, Vinh Q. Tran, Quoc V. Le, Orhan Firat
2025	J	`jnl`	BIG-Bench Extra Hard. CoRR Mehran Kazemi, Bahare Fatemi, Hritik Bansal, John Palowitch, Chrysovalantis Anastasiou, Sanket Vaibhav Mehta, Kshitij Jain, Virginia Aglietti, Disha Jindal, Peter Chen, Nishanth Dikkala, Gladys Tyen, Xin Liu, Uri Shalit, Silvia Chiappa, Kate Olszewska, Yi Tay, Vinh Q. Tran, Quoc V. Le, Orhan Firat
2025	A*	`conf`	Reasoning with Latent Thoughts: On the Power of Looped Transformers. ICLR Nikunj Saunshi, Nishanth Dikkala, Zhiyuan Li, Sanjiv Kumar, Sashank J. Reddi
2025	J	`jnl`	Reasoning with Latent Thoughts: On the Power of Looped Transformers. CoRR Nikunj Saunshi, Nishanth Dikkala, Zhiyuan Li, Sanjiv Kumar, Sashank J. Reddi
2025	J	`jnl`	StagFormer: Time Staggering Transformer Decoding for RunningLayers In Parallel. CoRR Dylan J. Cutler, Arun Kandoor, Nishanth Dikkala, Nikunj Saunshi, Xin Wang, Rina Panigrahy
2024	J	`jnl`	Causal Language Modeling Can Elicit Search and Reasoning Capabilities on Logic Puzzles. CoRR Kulin Shah, Nishanth Dikkala, Xin Wang, Rina Panigrahy
2024	A*	`conf`	Causal language modeling can elicit search and reasoning capabilities on logic puzzles. NeurIPS Kulin Shah, Nishanth Dikkala, Xin Wang, Rina Panigrahy
2024	J	`jnl`	How Transformers Solve Propositional Logic Problems: A Mechanistic Analysis. CoRR Guanzhe Hong, Nishanth Dikkala, Enming Luo, Cyrus Rashtchian, Xin Wang, Rina Panigrahy
2024	A*	`conf`	Learning Neural Networks with Sparse Activations. COLT Pranjal Awasthi, Nishanth Dikkala, Pritish Kamath, Raghu Meka
2024	J	`jnl`	Learning Neural Networks with Sparse Activations. CoRR Pranjal Awasthi, Nishanth Dikkala, Pritish Kamath, Raghu Meka
2024	J	`jnl`	Michelangelo: Long Context Evaluations Beyond Haystacks via Latent Structure Queries. CoRR Kiran Vodrahalli, Santiago Ontanon, Nilesh Tripuraneni, Kelvin Xu, Sanil Jain, Rakesh Shivanna, Jeffrey Hui, Nishanth Dikkala, Mehran Kazemi, Bahare Fatemi, Rohan Anil, Ethan Dyer, Siamak Shakeri, Roopali Vij, Harsh Mehta, Vinay V. Ramasesh, Quoc Le, Ed H. Chi, Yifeng Lu, Orhan Firat, Angeliki Lazaridou, Jean-Baptiste Lespiau, Nithya Attaluri, Kate Olszewska
2024	A*	`conf`	ReMI: A Dataset for Reasoning with Multiple Images. NeurIPS Mehran Kazemi, Nishanth Dikkala, Ankit Anand, Petar Devic, Ishita Dasgupta, Fangyu Liu, Bahare Fatemi, Pranjal Awasthi, Sreenivas Gollapudi, Dee Guo, Ahmed Qureshi
2024	J	`jnl`	ReMI: A Dataset for Reasoning with Multiple Images. CoRR Mehran Kazemi, Nishanth Dikkala, Ankit Anand, Petar Devic, Ishita Dasgupta, Fangyu Liu, Bahare Fatemi, Pranjal Awasthi, Dee Guo, Sreenivas Gollapudi, Ahmed Qureshi
2023	A*	`conf`	Alternating Updates for Efficient Transformers. NeurIPS Cenk Baykal, Dylan J. Cutler, Nishanth Dikkala, Nikhil Ghosh, Rina Panigrahy, Xin Wang
2023	J	`jnl`	Alternating Updates for Efficient Transformers. CoRR Cenk Baykal, Dylan J. Cutler, Nishanth Dikkala, Nikhil Ghosh, Rina Panigrahy, Xin Wang
2023	A*	`conf`	On the Benefits of Learning to Route in Mixture-of-Experts Models. EMNLP Nishanth Dikkala, Nikhil Ghosh, Raghu Meka, Rina Panigrahy, Nikhil Vyas, Xin Wang
2023	J	`jnl`	The Power of External Memory in Increasing Predictive Model Capacity. CoRR Cenk Baykal, Dylan J. Cutler, Nishanth Dikkala, Nikhil Ghosh, Rina Panigrahy, Xin Wang
2022	A*	`conf`	A Theoretical View on Sparsely Activated Networks. NeurIPS Cenk Baykal, Nishanth Dikkala, Rina Panigrahy, Cyrus Rashtchian, Xin Wang
2022	J	`jnl`	A Theoretical View on Sparsely Activated Networks. CoRR Cenk Baykal, Nishanth Dikkala, Rina Panigrahy, Cyrus Rashtchian, Xin Wang
2022	A*	`conf`	Do More Negative Samples Necessarily Hurt In Contrastive Learning? ICML Pranjal Awasthi, Nishanth Dikkala, Pritish Kamath
2022	J	`jnl`	Do More Negative Samples Necessarily Hurt in Contrastive Learning? CoRR Pranjal Awasthi, Nishanth Dikkala, Pritish Kamath
2022	A*	`conf`	Sketching based Representations for Robust Image Classification with Provable Guarantees. NeurIPS Nishanth Dikkala, Sankeerth Rao Karingula, Raghu Meka, Jelani Nelson, Rina Panigrahy, Xin Wang
2021	J	`jnl`	For Manifold Learning, Deep Neural Networks can be Locality Sensitive Hash Functions. CoRR Nishanth Dikkala, Gal Kaplun, Rina Panigrahy
2021	A*	`conf`	Learning Ising models from one or multiple samples. STOC Yuval Dagan, Constantinos Daskalakis, Nishanth Dikkala, Anthimos Vardis Kandiros
2021	A*	`conf`	Statistical Estimation from Dependent Data. ICML Anthimos Vardis Kandiros, Yuval Dagan, Nishanth Dikkala, Surbhi Goel, Constantinos Daskalakis
2021	J	`jnl`	Statistical Estimation from Dependent Data. CoRR Yuval Dagan, Constantinos Daskalakis, Nishanth Dikkala, Surbhi Goel, Anthimos Vardis Kandiros
2020	J	`jnl`	Estimating Ising Models from One Sample. CoRR Yuval Dagan, Constantinos Daskalakis, Nishanth Dikkala, Anthimos Vardis Kandiros
2020	A	`conf`	Logistic regression with peer-group effects via inference in higher-order Ising models. AISTATS Constantinos Daskalakis, Nishanth Dikkala, Ioannis Panageas
2020	J	`jnl`	Logistic-Regression with peer-group effects via inference in higher order Ising models. CoRR Constantinos Daskalakis, Nishanth Dikkala, Ioannis Panageas
2020	A*	`conf`	Minimax Estimation of Conditional Moment Models. NeurIPS Nishanth Dikkala, Greg Lewis, Lester Mackey, Vasilis Syrgkanis
2020	J	`jnl`	Minimax Estimation of Conditional Moment Models. CoRR Nishanth Dikkala, Greg Lewis, Lester Mackey, Vasilis Syrgkanis
2019	—	`conf`	From Soft Classifiers to Hard Decisions: How fair can we be? FAT Ran Canetti, Aloni Cohen, Nishanth Dikkala, Govind Ramnarayan, Sarah Scheffler, Adam D. Smith
2019	A*	`conf`	Learning from Weakly Dependent Data under Dobrushin's Condition. COLT Yuval Dagan, Constantinos Daskalakis, Nishanth Dikkala, Siddhartha Jayanti
2019	J	`jnl`	Learning from weakly dependent data under Dobrushin's condition. CoRR Yuval Dagan, Constantinos Daskalakis, Nishanth Dikkala, Siddhartha Jayanti
2019	J	`jnl`	Regression from Dependent Observations. CoRR Constantinos Daskalakis, Nishanth Dikkala, Ioannis Panageas
2019	A*	`conf`	Regression from dependent observations. STOC Constantinos Daskalakis, Nishanth Dikkala, Ioannis Panageas
2019	J	`jnl`	Testing Ising Models. IEEE Trans. Inf. Theory Constantinos Daskalakis, Nishanth Dikkala, Gautam Kamath
2018	J	`jnl`	From Soft Classifiers to Hard Decisions: How fair can we be? CoRR Ran Canetti, Aloni Cohen, Nishanth Dikkala, Govind Ramnarayan, Sarah Scheffler, Adam D. Smith
2018	A*	`conf`	HOGWILD!-Gibbs can be PanAccurate. NeurIPS Constantinos Daskalakis, Nishanth Dikkala, Siddhartha Jayanti
2018	J	`jnl`	HOGWILD!-Gibbs can be PanAccurate. CoRR Constantinos Daskalakis, Nishanth Dikkala, Siddhartha Jayanti
2018	A*	`conf`	Testing Ising Models. SODA Constantinos Daskalakis, Nishanth Dikkala, Gautam Kamath
2018	A*	`conf`	Testing Symmetric Markov Chains From a Single Trajectory. COLT Constantinos Daskalakis, Nishanth Dikkala, Nick Gravin
2017	—	`conf`	Concentration of Multilinear Functions of the Ising Model with Applications to Network Data. NIPS Constantinos Daskalakis, Nishanth Dikkala, Gautam Kamath
2017	J	`jnl`	Concentration of Multilinear Functions of the Ising Model with Applications to Network Data. CoRR Constantinos Daskalakis, Nishanth Dikkala, Gautam Kamath
2017	J	`jnl`	Testing Ising Models. Electron. Colloquium Comput. Complex. Constantinos Daskalakis, Nishanth Dikkala, Gautam Kamath
2017	J	`jnl`	Testing from One Sample: Is the casino really using a riffle shuffle? CoRR Constantinos Daskalakis, Nishanth Dikkala, Nick Gravin
2016	J	`jnl`	Testing Ising Models. CoRR Constantinos Daskalakis, Nishanth Dikkala, Gautam Kamath
2016	A*	`conf`	Tight Hardness Results for Maximum Weight Rectangles. ICALP Arturs Backurs, Nishanth Dikkala, Christos Tzamos
2016	J	`jnl`	Tight Hardness Results for Maximum Weight Rectangles. CoRR Arturs Backurs, Nishanth Dikkala, Christos Tzamos
2015	B	`conf`	Brief Announcement: Effect of Strategic Grading and Early Offers in Matching Markets. SAGT Hedyeh Beyhaghi, Nishanth Dikkala, Éva Tardos
2015	J	`jnl`	Effect of Strategic Grading and Early Offers in Matching Markets. CoRR Hedyeh Beyhaghi, Nishanth Dikkala, Éva Tardos
2013	—	`conf`	Can Credit Increase Revenue? WINE Nishanth Dikkala, Éva Tardos