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ORCIDPrateek Verma
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2020 – today
- 2024
[j2]Prateek Verma, Ashish Kumar Maurya
, Rama Shankar Yadav:
A survey on energy-efficient workflow scheduling algorithms in cloud computing. Softw. Pract. Exp. 54(5): 637-682 (2024)- [c17]Minh-Hao Van, Prateek Verma, Xintao Wu:
On Large Visual Language Models for Medical Imaging Analysis: An Empirical Study. CHASE 2024: 172-176 - [i35]Minh-Hao Van, Prateek Verma, Xintao Wu:
On Large Visual Language Models for Medical Imaging Analysis: An Empirical Study. CoRR abs/2402.14162 (2024) - [i34]Prateek Verma, Minh-Hao Van, Xintao Wu:
Beyond Human Vision: The Role of Large Vision Language Models in Microscope Image Analysis. CoRR abs/2405.00876 (2024) - [i33]Prateek Verma, Mert Pilanci:
Towards Signal Processing In Large Language Models. CoRR abs/2406.10254 (2024) - [i32]Prateek Verma, Mert Pilanci:
Adaptive Large Language Models By Layerwise Attention Shortcuts. CoRR abs/2409.10870 (2024) - [i31]Prateek Verma:
WaveletGPT: Wavelets Meet Large Language Models. CoRR abs/2409.12924 (2024) - 2023
- [c16]Prateek Verma, Chris Chafe:
A Content Adaptive Learnable "Time-Frequency" Representation for audio Signal Processing. ICASSP 2023: 1-5 - [c15]Anjalie Field, Prateek Verma, Nay San, Jennifer L. Eberhardt, Dan Jurafsky:
Developing Speech Processing Pipelines for Police Accountability. INTERSPEECH 2023: 1229-1233 - [i30]Prateek Verma, Chris Chafe:
A Content Adaptive Learnable Time-Frequency Representation For Audio Signal Processing. CoRR abs/2303.10446 (2023) - [i29]Anjalie Field, Prateek Verma, Nay San, Jennifer L. Eberhardt, Dan Jurafsky:
Developing Speech Processing Pipelines for Police Accountability. CoRR abs/2306.06086 (2023) - [i28]Prateek Verma:
Conformer LLMs - Convolution Augmented Large Language Models. CoRR abs/2307.00461 (2023) - [i27]Prateek Verma, Shan Zhong, Xiaoyu Liu, Adithya Rajan:
Seasonality Based Reranking of E-commerce Autocomplete Using Natural Language Queries. CoRR abs/2308.02055 (2023) - [i26]Prateek Verma:
Neural Architectures Learning Fourier Transforms, Signal Processing and Much More.... CoRR abs/2308.10388 (2023) - [i25]Prateek Verma:
Diverse Neural Audio Embeddings - Bringing Features back ! CoRR abs/2309.08751 (2023) - 2022
- [c14]Rishabh Dahale, Vaibhav Talwadker, Preeti Rao, Prateek Verma:
Generating Coherent Drum Accompaniment with Fills and Improvisations. ISMIR 2022: 264-271 - [i24]Prateek Verma:
GoodBye WaveNet - A Language Model for Raw Audio with Context of 1/2 Million Samples. CoRR abs/2206.08297 (2022) - [i23]Prateek Verma, Jonathan Berger:
Enhancing Audio Perception of Music By AI Picked Room Acoustics. CoRR abs/2208.07994 (2022) - [i22]Rishabh Dahale, Vaibhav Talwadker, Preeti Rao, Prateek Verma:
Generating Coherent Drum Accompaniment With Fills And Improvisations. CoRR abs/2209.00291 (2022) - [i21]Prateek Verma, Chris Chafe, Jonathan Berger:
One-Shot Acoustic Matching Of Audio Signals - Learning to Hear Music In Any Room/ Concert Hall. CoRR abs/2210.15750 (2022) - 2021
- [c13]Prateek Verma, Chris Chafe:
A Generative Model for Raw Audio Using Transformer Architectures. DAFx 2021: 230-237 - [c12]Elizabeth Bibit Bianchini, Prateek Verma, J. Kenneth Salisbury:
Towards Human Haptic Gesture Interpretation for Robotic Systems. IROS 2021: 7334-7341 - [i20]Prateek Verma, Jonathan Berger:
Audio Transformers: Transformer Architectures For Large Scale Audio Understanding. Adieu Convolutions. CoRR abs/2105.00335 (2021) - [i19]Prateek Verma, Chris Chafe:
A Generative Model for Raw Audio Using Transformer Architectures. CoRR abs/2106.16036 (2021) - [i18]Prateek Verma:
Large Scale Audio Understanding without Transformers/ Convolutions/ BERTs/ Mixers/ Attention/ RNNs or .... CoRR abs/2110.03183 (2021) - 2020
- [c11]Prateek Verma, Alessandro Ilic Mezza, Chris Chafe, Cristina Rottondi:
A Deep Learning Approach for Low-Latency Packet Loss Concealment of Audio Signals in Networked Music Performance Applications. FRUCT 2020: 268-275 - [c10]Amruta Vidwans, Prateek Verma, Preeti Rao:
Classifying Cultural Music using Melodic Features. SPCOM 2020: 1-5 - [i17]Prateek Verma, Kenneth Salisbury:
Unsupervised Learning of Audio Perception for Robotics Applications: Learning to Project Data to T-SNE/UMAP space. CoRR abs/2002.04076 (2020) - [i16]Prateek Verma, Alessandro Ilic Mezza, Chris Chafe, Cristina Rottondi:
A Deep Learning Approach for Low-Latency Packet Loss Concealment of Audio Signals in Networked Music Performance Applications. CoRR abs/2007.07132 (2020) - [i15]Camille Noufi, Prateek Verma, Jonathan Berger:
Unsupervised Representation Learning For Context of Vocal Music. CoRR abs/2007.09060 (2020) - [i14]Prateek Verma, Constantin Basica, Pamela Davis Kivelson:
Translating Paintings Into Music Using Neural Networks. CoRR abs/2008.09960 (2020) - [i13]Prateek Verma, Julius O. Smith III:
A Framework for Contrastive and Generative Learning of Audio Representations. CoRR abs/2010.11459 (2020) - [i12]Elizabeth Bibit Bianchini, Kenneth Salisbury, Prateek Verma:
Human Tactile Gesture Interpretation for Robotic Systems. CoRR abs/2012.01959 (2020)
2010 – 2019
- 2019
- [c9]Albert Haque, Michelle Guo, Prateek Verma, Li Fei-Fei:
Audio-linguistic Embeddings for Spoken Sentences. ICASSP 2019: 7355-7359 - [c8]Prateek Verma, Aliasgar Kutiyanawala, Ke Shen:
Ranking Sentences from Product Description & Bullets for Better Search. eCOM@SIGIR 2019 - [i11]Albert Haque, Michelle Guo, Prateek Verma, Li Fei-Fei:
Audio-Linguistic Embeddings for Spoken Sentences. CoRR abs/1902.07817 (2019) - [i10]Prateek Verma, Chris Chafe, Jonathan Berger:
Neuralogram: A Deep Neural Network Based Representation for Audio Signals. CoRR abs/1904.05073 (2019) - [i9]Michelle Guo, Albert Haque, Prateek Verma:
End-to-End Spoken Language Translation. CoRR abs/1904.10760 (2019) - [i8]Amruta Vidwans, Prateek Verma, Preeti Rao:
Understanding and Classifying Cultural Music Using Melodic Features Case Of Hindustani, Carnatic And Turkish Music. CoRR abs/1906.08916 (2019) - [i7]Prateek Verma, Aliasgar Kutiyanawala, Ke Shen:
Ranking sentences from product description & bullets for better search. CoRR abs/1907.06330 (2019) - [i6]Prateek Verma, Jonathan Berger:
Learning to Model Aspects of Hearing Perception Using Neural Loss Functions. CoRR abs/1912.05683 (2019) - 2018
- [j1]Vinodkumar Prabhakaran, Camilla Griffiths, Hang Su, Prateek Verma, Nelson Morgan, Jennifer L. Eberhardt, Dan Jurafsky:
Detecting Institutional Dialog Acts in Police Traffic Stops. Trans. Assoc. Comput. Linguistics 6: 467-481 (2018) - [c7]Albert Haque, Michelle Guo, Prateek Verma:
Conditional End-to-End Audio Transforms. INTERSPEECH 2018: 2295-2299 - [c6]Aliasgar Kutiyanawala, Prateek Verma, Zheng Yan:
Towards a Simplified Ontology for Better e-Commerce Search. eCOM@SIGIR 2018 - [i5]Prateek Verma, Julius O. Smith III:
Neural Style Transfer for Audio Spectograms. CoRR abs/1801.01589 (2018) - [i4]Albert Haque, Michelle Guo, Prateek Verma:
Conditional End-to-End Audio Transforms. CoRR abs/1804.00047 (2018) - [i3]Prateek Verma, Anjan K. Nandi, Supratim Sengupta:
Bribery Games on Interdependent Complex Networks. CoRR abs/1804.09477 (2018) - [i2]Aliasgar Kutiyanawala, Prateek Verma, Zheng Yan:
Towards a simplified ontology for better e-commerce search. CoRR abs/1807.02039 (2018) - 2016
- [c5]Prateek Verma, Ronald W. Schafer:
Frequency Estimation from Waveforms Using Multi-Layered Neural Networks. INTERSPEECH 2016: 2165-2169 - 2015
- [c4]Philipp Matthias Müller, Sikandar Amin, Prateek Verma, Mykhaylo Andriluka, Andreas Bulling:
Emotion recognition from embedded bodily expressions and speech during dyadic interactions. ACII 2015: 663-669 - [c3]Prateek Verma, Vinutha T. P., Parthe Pandit, Preeti Rao:
Structural segmentation of Hindustani concert audio with posterior features. ICASSP 2015: 136-140 - 2013
- [i1]Furong Huang, U. N. Niranjan, Mohammad Umar Hakeem, Prateek Verma, Animashree Anandkumar:
Fast Detection of Overlapping Communities via Online Tensor Methods on GPUs. CoRR abs/1309.0787 (2013) - 2012
- [c2]Prateek Verma, Preeti Rao:
Real-time Melodic Accompaniment System for Indian Music Using TMS320C6713. VLSI Design 2012: 119-124
2000 – 2009
- 2009
- [c1]Vikram Bali, Rajkumar Singh Rathore, Amit Sirohi, Prateek Verma:
A Framework to Provide a Bidirectional Abstraction of the Asymmetric Network to Routing Protocols. ICETET 2009: 1143-1150
Coauthor Index
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