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Author search results
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- M. S. Ramanujan 0001
aka: Ramanujan Sridharan
University of Warwick, Coventry, UK
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Publication search results
found 251 matches
- 2024
- Anushree Gupta, Md Kashif Jamal, Nilmoni Karak, Bibekananda Maji
:
A Dirichlet character analogue of Ramanujan's formula for odd zeta values. Adv. Appl. Math. 158: 102707 (2024) - Ming-Jian Ding, Jiang Zeng
:
Proof of an explicit formula for a series from Ramanujan's Notebooks via tree functions. Discret. Math. 347(6): 113953 (2024) - Sushmita Gupta, Ramanujan Sridharan, Peter Strulo:
An Exercise in Tournament Design: When Some Matches Must Be Scheduled. AAAI 2024: 9749-9756 - Argyrios Deligkas, Eduard Eiben, Robert Ganian, Iyad Kanj, M. S. Ramanujan:
Parameterized Algorithms for Coordinated Motion Planning: Minimizing Energy. ICALP 2024: 53:1-53:18 - Tanmay Inamdar, Madhumita Kundu, Pekka Parviainen, M. S. Ramanujan, Saket Saurabh:
Exponential-Time Approximation Schemes via Compression. ITCS 2024: 64:1-64:22 - Tianjia Wang
, Ramaraja Ramanujan
, Yi Lu
, Chenyu Mao
, Yan Chen
, Chris Brown
:
DevCoach: Supporting Students in Learning the Software Development Life Cycle at Scale with Generative Agents. L@S 2024: 351-355 - Daniel Lokshtanov, Pranabendu Misra, Fahad Panolan, M. S. Ramanujan, Saket Saurabh, Meirav Zehavi:
Meta-theorems for Parameterized Streaming Algorithms‡. SODA 2024: 712-739 - Lawqueen Kanesh, Fahad Panolan, M. S. Ramanujan, Peter Strulo:
Decremental Sensitivity Oracles for Covering and Packing Minors. STACS 2024: 44:1-44:19 - Sushmita Gupta, M. S. Ramanujan, Peter Strulo:
An Exercise in Tournament Design: When Some Matches Must Be Scheduled. CoRR abs/2402.06538 (2024) - Argyrios Deligkas, Eduard Eiben, Robert Ganian, Iyad Kanj, M. S. Ramanujan:
Parameterized Algorithms for Coordinated Motion Planning: Minimizing Energy. CoRR abs/2404.15950 (2024) - Scott Geng, Cheng-Yu Hsieh, Vivek Ramanujan, Matthew Wallingford, Chun-Liang Li, Pang Wei Koh, Ranjay Krishna:
The Unmet Promise of Synthetic Training Images: Using Retrieved Real Images Performs Better. CoRR abs/2406.05184 (2024) - 2023
- Pooja Sonik, Ranganatha Dasappa, Megha Goyal:
On a generalized basic series and Rogers-Ramanujan type identities. Contributions Discret. Math. 18(1): 15-28 (2023) - Pooja Sonik, Megha Goyal:
On a generalized basic series and Rogers-Ramanujan type identities - II. Contributions Discret. Math. 18(1): 90-104 (2023) - Sebastian M. Cioaba, Sean Dewar
, Georg Grasegger
, Xiaofeng Gu:
Graph Rigidity Properties of Ramanujan Graphs. Electron. J. Comb. 30(3) (2023) - Mohsen Alinejad
, A. Erfanian, S. Fulad:
Equitable partition for some Ramanujan graphs. Discret. Math. Algorithms Appl. 15(5): 2250129:1-2250129:12 (2023) - Mallesham Dasari
, Ramanujan K. Sheshadri
, Karthikeyan Sundaresan
, Samir R. Das
:
RoVaR: Robust Multi-agent Tracking through Dual-layer Diversity in Visual and RF Sensing. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 7(1): 8:1-8:25 (2023) - Fedor V. Fomin
, Fahad Panolan
, M. S. Ramanujan, Saket Saurabh:
On the optimality of pseudo-polynomial algorithms for integer programming. Math. Program. 198(1): 561-593 (2023) - Jing Ma, Huayan Sun, Wenguang Zhai:
The average size of Ramanujan sums over cubic number fields. Period. Math. Hung. 87(1): 215-231 (2023) - Umberto Grandi, Lawqueen Kanesh, Grzegorz Lisowski, Ramanujan Sridharan, Paolo Turrini:
Identifying and Eliminating Majority Illusion in Social Networks. AAAI 2023: 5062-5069 - Tanmay Inamdar, Lawqueen Kanesh, Madhumita Kundu, M. S. Ramanujan, Saket Saurabh:
FPT Approximations for Packing and Covering Problems Parameterized by Elimination Distance and Even Less. FSTTCS 2023: 28:1-28:16 - Akanksha Agrawal, M. S. Ramanujan:
Approximately Interpolating Between Uniformly and Non-Uniformly Polynomial Kernels. FSTTCS 2023: 36:1-36:17 - Duc N. M. Hoang, Shiwei Liu, Radu Marculescu, Zhangyang Wang:
Revisiting Pruning at Initialization Through the Lens of Ramanujan Graph. ICLR 2023 - Eduard Eiben, Diptapriyo Majumdar, M. S. Ramanujan:
Finding a Highly Connected Steiner Subgraph and its Applications. MFCS 2023: 45:1-45:15 - Ahan Kak
, Huu-Trung Thieu
, Van-Quan Pham
, Ramanujan K. Sheshadri
, Nakjung Choi
, Yongjie Guan
, M. Yin
, Tao Han
:
AweRAN: Making a Case for Application-aware Radio Access Network Slicing. WiNTECH 2023: 41-48 - Samir Yitzhak Gadre, Gabriel Ilharco, Alex Fang, Jonathan Hayase, Georgios Smyrnis, Thao Nguyen, Ryan Marten, Mitchell Wortsman, Dhruba Ghosh, Jieyu Zhang, Eyal Orgad, Rahim Entezari, Giannis Daras, Sarah M. Pratt, Vivek Ramanujan, Yonatan Bitton, Kalyani Marathe, Stephen Mussmann, Richard Vencu, Mehdi Cherti, Ranjay Krishna, Pang Wei Koh, Olga Saukh, Alexander J. Ratner, Shuran Song, Hannaneh Hajishirzi, Ali Farhadi, Romain Beaumont, Sewoong Oh, Alex Dimakis, Jenia Jitsev, Yair Carmon, Vaishaal Shankar, Ludwig Schmidt:
DataComp: In search of the next generation of multimodal datasets. NeurIPS 2023 - Matthew Wallingford, Vivek Ramanujan, Alex Fang, Aditya Kusupati, Roozbeh Mottaghi, Aniruddha Kembhavi, Ludwig Schmidt, Ali Farhadi:
Neural Priming for Sample-Efficient Adaptation. NeurIPS 2023 - Nakul Garg, Irtaza Shahid, Karthik Sankar, Mallesham Dasari, Ramanujan K. Sheshadri
, Karthikeyan Sundaresan, Nirupam Roy:
Bringing AR/VR to Everyday Life - a Wireless Localization Perspective. HotMobile 2023: 142 - Manotosh Kumbhakar, Vijay P. Singh:
Full-Range Approximation for the Theis Well Function Using Ramanujan's Series and Bounds for the Exponential Integral. CoRR abs/2303.16871 (2023) - Samir Yitzhak Gadre, Gabriel Ilharco, Alex Fang, Jonathan Hayase, Georgios Smyrnis, Thao Nguyen, Ryan Marten, Mitchell Wortsman, Dhruba Ghosh, Jieyu Zhang, Eyal Orgad, Rahim Entezari, Giannis Daras, Sarah M. Pratt, Vivek Ramanujan, Yonatan Bitton, Kalyani Marathe, Stephen Mussmann, Richard Vencu, Mehdi Cherti, Ranjay Krishna, Pang Wei Koh, Olga Saukh, Alexander Ratner, Shuran Song, Hannaneh Hajishirzi, Ali Farhadi, Romain Beaumont, Sewoong Oh, Alex Dimakis, Jenia Jitsev, Yair Carmon, Vaishaal Shankar, Ludwig Schmidt:
DataComp: In search of the next generation of multimodal datasets. CoRR abs/2304.14108 (2023) - Matthew Wallingford, Vivek Ramanujan, Alex Fang, Aditya Kusupati, Roozbeh Mottaghi, Aniruddha Kembhavi, Ludwig Schmidt, Ali Farhadi:
Neural Priming for Sample-Efficient Adaptation. CoRR abs/2306.10191 (2023)
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