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Vinayak Gupta
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2020 – today
- 2024
- [j5]Vinayak Gupta
, Srikanta Bedathur
Tapestry of Time and Actions: Modeling Human Activity Sequences Using Temporal Point Process Flows. ACM Trans. Intell. Syst. Technol. 15(3): 49:1-49:27 (2024) - [c12]Vinayak Gupta, Rahul Goel, Dhawal Sirikonda, P. J. Narayanan:
GSN: Generalisable Segmentation in Neural Radiance Field. AAAI 2024: 2013-2021 - [c11]Mike A. Merrill, Mingtian Tan, Vinayak Gupta, Thomas Hartvigsen, Tim Althoff:
Language Models Still Struggle to Zero-shot Reason about Time Series. EMNLP (Findings) 2024: 3512-3533 - [c10]Vinayak Gupta, Manoj S., Mukund Varma T., Kaushik Mitra:
U2NeRF: Unsupervised Underwater Image Restoration and Neural Radiance Fields. Tiny Papers @ ICLR 2024 - [c9]Reshabh K. Sharma, Vinayak Gupta, Dan Grossman:
Defending Language Models Against Image-Based Prompt Attacks via User-Provided Specifications. SP (Workshops) 2024: 112-131 - [i17]Vinayak Gupta, Rahul Goel, Dhawal Sirikonda, P. J. Narayanan:
GSN: Generalisable Segmentation in Neural Radiance Field. CoRR abs/2402.04632 (2024) - [i16]Reshabh K. Sharma, Vinayak Gupta, Dan Grossman:
SPML: A DSL for Defending Language Models Against Prompt Attacks. CoRR abs/2402.11755 (2024) - [i15]Mike A. Merrill, Mingtian Tan, Vinayak Gupta, Tom Hartvigsen, Tim Althoff:
Language Models Still Struggle to Zero-shot Reason about Time Series. CoRR abs/2404.11757 (2024) - [i14]Mingtian Tan, Mike A. Merrill, Vinayak Gupta, Tim Althoff, Thomas Hartvigsen:
Are Language Models Actually Useful for Time Series Forecasting? CoRR abs/2406.16964 (2024) - [i13]Vinayak Gupta, Rongali Simhachala Venkata Girish, Mukund Varma T., Ayush Tewari, Kaushik Mitra:
GAURA: Generalizable Approach for Unified Restoration and Rendering of Arbitrary Views. CoRR abs/2407.08221 (2024) - 2023
- [j4]Vinayak Gupta
Modeling Spatial Trajectories Using Coarse-Grained Smartphone Logs. IEEE Trans. Big Data 9(2): 608-620 (2023) - [c8]Garima Gaur
Teaching Old DB Neu(ral) Tricks: Learning Embeddings on Multi-tabular Databases. COMAD/CODS 2023: 87-94 - [i12]Vinayak Gupta, Srikanta Bedathur, Abir De:
Retrieving Continuous Time Event Sequences using Neural Temporal Point Processes with Learnable Hashing. CoRR abs/2307.09613 (2023) - [i11]Vinayak Gupta, Srikanta Bedathur:
Tapestry of Time and Actions: Modeling Human Activity Sequences using Temporal Point Process Flows. CoRR abs/2307.10305 (2023) - 2022
- [j3]Vinayak Gupta
Doing More with Less: Overcoming Data Scarcity for POI Recommendation via Cross-Region Transfer. ACM Trans. Intell. Syst. Technol. 13(3): 50:1-50:24 (2022) - [j2]Vinayak Gupta
Modeling Continuous Time Sequences with Intermittent Observations using Marked Temporal Point Processes. ACM Trans. Intell. Syst. Technol. 13(6): 103:1-103:26 (2022) - [c7]Vinayak Gupta, Srikanta Bedathur, Abir De:
Learning Temporal Point Processes for Efficient Retrieval of Continuous Time Event Sequences. AAAI 2022: 4005-4013 - [c6]Vinayak Gupta
ProActive: Self-Attentive Temporal Point Process Flows for Activity Sequences. KDD 2022: 496-504 - [i10]Vinayak Gupta, Srikanta Bedathur:
Doing More with Less: Overcoming Data Scarcity for POI Recommendation via Cross-Region Transfer. CoRR abs/2201.06095 (2022) - [i9]Vinayak Gupta, Srikanta Bedathur, Abir De:
Learning Temporal Point Processes for Efficient Retrieval of Continuous Time Event Sequences. CoRR abs/2202.11485 (2022) - [i8]Vinayak Gupta, Srikanta Bedathur:
ProActive: Self-Attentive Temporal Point Process Flows for Activity Sequences. CoRR abs/2206.05291 (2022) - [i7]Vinayak Gupta, Srikanta Bedathur, Sourangshu Bhattacharya, Abir De:
Modeling Continuous Time Sequences with Intermittent Observations using Marked Temporal Point Processes. CoRR abs/2206.12414 (2022) - [i6]Vinayak Gupta, Srikanta Bedathur:
Modeling Spatial Trajectories using Coarse-Grained Smartphone Logs. CoRR abs/2208.13775 (2022) - [i5]Vinayak Gupta:
Modeling Time-Series and Spatial Data for Recommendations and Other Applications. CoRR abs/2212.13259 (2022) - 2021
- [j1]Moolchand Sharma
Detection and Diagnosis of Skin Diseases Using Residual Neural Networks (RESNET). Int. J. Image Graph. 21(5): 2140002:1-2140002:19 (2021) - [c5]Vinayak Gupta, Srikanta Bedathur, Sourangshu Bhattacharya, Abir De:
Learning Temporal Point Processes with Intermittent Observations. AISTATS 2021: 3790-3798 - [c4]Vinayak Gupta
Region Invariant Normalizing Flows for Mobility Transfer. CIKM 2021: 3053-3057 - [c3]Saathvik B. M., Vinayak Gupta, Ayush Kedia, Lov Asawa, Karpagavalli Subramanian:
Neural Network Based Intelligent Traffic System. IDAACS 2021: 1101-1107 - [i4]Siddhant Arora, Vinayak Gupta, Garima Gaur, Srikanta Bedathur:
BERT Meets Relational DB: Contextual Representations of Relational Databases. CoRR abs/2104.14914 (2021) - [i3]Vinayak Gupta, Srikanta Bedathur:
Region Invariant Normalizing Flows for Mobility Transfer. CoRR abs/2109.05738 (2021) - [i2]Vinayak Gupta:
Learning Neural Models for Continuous-Time Sequences. CoRR abs/2111.07189 (2021) - 2020
- [c2]Ankita Likhyani, Vinayak Gupta, Srijith P. K
Modeling Implicit Communities from Geo-Tagged Event Traces Using Spatio-Temporal Point Processes. WISE (1) 2020: 153-169 - [i1]Ankita Likhyani, Vinayak Gupta, Srijith P. K, Deepak P, Srikanta Bedathur:
Modeling Implicit Communities using Spatio-Temporal Point Processes from Geo-tagged Event Traces. CoRR abs/2006.07580 (2020)
2010 – 2019
- 2017
- [c1]Sonam Maurya
LBRR: Load Balanced Ring Routing Protocol for Heterogeneous Sensor Networks with Sink Mobility. WCNC 2017: 1-6
Coauthor Index
aka: Srikanta Bedathur
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